Podcasts about mro

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Aerospace has always been a cyclical industry, one sector up, another down, capital moving cautiously between them. That's not what's happening right now. Every major sector is ripping at the same time, for completely different reasons. Commercial is coming back online. Aftermarket and MRO have been running hot since COVID. Defense is being pulled forward by geopolitical demand. Business aviation has settled into a stronger, more stable “new normal.”  It's rare to see this kind of synchronized momentum across the entire ecosystem, and when it happens, it changes how capital behaves. For years, aerospace exits were predictable. You built a solid business, ran an M&A process, and sold. IPOs were barely part of the conversation. Industrial manufacturing wasn't exactly exciting to public market investors. Now, IPOs are not only viable, but they're also often the better option. Industrial businesses that used to be seen as slow, capital-heavy, and unsexy are suddenly being revalued as AI-proof, infrastructure-critical, and in some cases, direct beneficiaries of the AI boom.  And that shift is forcing a new level of sophistication from operators. Because today, you're not just deciding whether to sell; you're deciding how to exit in a market with more options than ever before. At the same time, there's a quiet risk underneath all of this. Fuel prices, geopolitical instability, and supply chain pressure. None of these have gone away. So the question isn't just how long this run continues; it's whether operators are actually prepared for the version of the market we're in now. In this episode, I'm joined by the Global Head of Aerospace and Aviation Investment Banking at Jefferies, Nick Fazioli. He breaks down what's really driving this moment across aviation, defense, and industrials, and what it means for operators thinking about growth, capital, and exit strategy.   You'll also learn; How “boring” industrial manufacturing became one of the most attractive investment categories Why IPOs are suddenly back, and in some cases outperforming traditional M&A exits How AI is indirectly reshaping aerospace valuations through energy, infrastructure, and supply chain demand The rise of continuation vehicles and why operators now have more exit paths than ever before Where private equity and institutional capital are actually placing bets right now (and why MRO is so competitive) The hidden risks: fuel prices, geopolitics, and consumer pressure, and how quickly they could impact the system Why operators need to become far more strategic, not just in building businesses, but in positioning them for exit     About the Guest Nick Fazioli is the Global Head of Aerospace and Aviation Investment Banking at Jefferies, where he leads one of the most active practices across commercial aviation, business aviation, and aerospace services. Over the past 16 years, he's been at the center of some of the most significant transactions in business aviation, including the sale of Marquis Jet to NetJets and West Star Aviation's exit to Greenbriar Equity Group. With a front-row seat to M&A, capital markets, and the evolving investor landscape, Nick brings a unique perspective on where capital is flowing and how operators should be thinking about growth and exit strategy in today's market. Connect with Nick on LinkedIn.  About Your Host Craig Picken is an Executive Recruiter, writer, speaker, and ICF Trained Executive Coach. He is focused on recruiting senior-level leadership, sales, and operations executives in the aviation and aerospace industry. His clients include premier OEMs, aircraft operators, leasing/financial organizations, and Maintenance/Repair/Overhaul (MRO) providers, and since 2008, he has personally concluded more than 400 executive-level searches in a variety of disciplines. Craig is the ONLY industry executive recruiter who has professionally flown airplanes, sold airplanes, and successfully run a P&L in the aviation industry. His professional career started with a passion for airplanes. After eight years' experience as a decorated Naval Flight Officer – with more than 100 combat missions, 2,000 hours of flight time, and 325 aircraft carrier landings – Craig sought challenges in business aviation, where he spent more than 7 years in sales with both Gulfstream Aircraft and Bombardier Business Aircraft. Craig is also a sought-after industry speaker who has presented at Corporate Jet Investor, International Aviation Women's Association, and SOCAL Aviation Association.    Resources For more aerospace industry news & commentary: https://craigpicken.com/insights/.  To learn more about Craig Picken, visit https://craigpicken.com/. 

Competing in a Future World of Infinite Intelligence Navigation: Intro From Knowledge Workers to Judgment Workers The AI-Native Company: Org, Hiring, Culture The Human Element: Are We Underestimating It? Scenarios Our Take Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show:   Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Nuno Gonçalves Pedro Introduction Welcome to episode 79 of Tech DECIPHERED. Today, we take a leap into the big unknown. This is a thesis episode, not your classic analysis, in-depth sharing episode. The big idea for this episode is that we may be approaching the cognitive age, and how would one, or how would a company compete in a world of infinite intelligence? The big idea, again, is that intelligence, which has been mostly scarce and expensive for all of human history, might become abundant and cheap. If that happens, what happens to work, what happens to companies, what happens to society? This episode will be really framing a lot of these discussions. From knowledge workers to judgment workers, addressing the AI native company and how does that change, going into the human element and whether or not we’re underestimating it, and finally, ending up going into scenarios, feasible scenarios of a future where, well, intelligence is abundant. Intelligence is quasi-infinite or infinite itself.Bertrand Schmitt Yes. Big questions for this episode 79. From Knowledge Workers to Judgment Workers We can start with from knowledge workers to judgment workers. Let’s go back first to how came the knowledge worker. It’s a 20th-century invention from Peter Drucker in 1959. The idea here is that that category might be splitting. The production of knowledge itself is on its way to being commoditized by AI. However, our perspective is that judgment around production of knowledge is not disappearing and is staying for a bit control managed by humans. What’s your take on this, Nuno? Do you agree with this split?Nuno Gonçalves Pedro I think it’s a little bit more profound than that. It’s not just judgment. Definitely, human judgment will be needed. We’ve seen agents perform all sorts of funny things in the wrong way when left alone to their own devices. Even some very well-known AI researchers coming forward and saying, “Hey, I tried to use this myself, and actually I messed up some of my systems,” or “I messed some of my code. I messed up some of my flows for a period of time.” I think just having human-in-the-loop from a judgment standpoint will be needed for a significant amount of time. That is something you can’t just delegate into machines, into algorithms, et cetera. The second part is, ultimately, there needs to be contextualization, and that contextualization, I think, comes from two forms. One from actual data, where the machine, I think, at some point will catch up, or the machines will catch up. The algorithms, at some point, on the data analysis will get better and better and have probably the closest to the truth that you can get, minus all the biases that are in the data, just to be clear, because data has a ton of biases. We’ve looked at this in the past and discussed it at prior episodes. But maybe on that, I think the machine has a chance to catch up, or the machines have a chance to catch up, so there’s less of distinctiveness from the human standpoint. But then, on just the attributes, the ability when you’re judging some situation, you’re in the middle of the situation. You’re judging the person and how it’s acting, in some ways, a lot of the things that end up happening, end up happening because there’s human interaction. There’s someone on the other side. I see how they’re delivering the message, how they’re implicating. We’ll talk about it later in the context of the organization and what changes in companies. I don’t think it’s just judgment. I think there’s a little bit more than that. One of the reasons I went to the dark side of management early on in my career from being an engineer was Peter Drucker and this notion of the knowledge worker, which he later on reemphasized with the publishing of his book, which for me was seminal and defined a lot of my career in life, the post-capitalist society, which is this notion that information rich and information poor is going to be the key distinctiveness that will happen in the world. The two big camps, information rich, information poor, which links back to this invention of the term knowledge worker, that knowledge is going to be key in some ways. I think that’s what we’ve seen for the last decades. Again, I think judgment is not going anywhere, but I think it’s beyond judgment. There’s elements of humanity and involvement that won’t go away anytime soon, where human-in-the-loop are particularly critical. We’ll discuss later some scenarios, but for me, that’s my stick in the ground. I think human-in-the-loop is going to be critical for many decades to come.Bertrand Schmitt While we are talking about all of this, and we share some possible scenarios, there is always that question. This is moving so fast right now. If you think about AI 10 years ago, AI 5 years ago, AI with the launch of ChatGPT 3, and then AI the past 2 years, now we have agents that are running at scale. Things are moving very fast. I can tell you, me in 6 months, the change has been pretty dramatic in terms of what I can use AI for. There is always that question that whatever we are thinking about cannot just be connected to what we were able to do 6 months ago or even today, we have to think and project ourselves at least in the next 6–12 months. Of course, we can go beyond that, and we will do that with some future scenarios, but it’s a very fast-moving, and it’s not clear yet where are the limits.Nuno Gonçalves Pedro I think that’s a very fair point. Let me try to analyze things that I don’t think will change anytime soon for the next few years. Agreed with you that many things will change, and we’ll have a lot better tools, platforms out there. That will be difficult to predict what exactly won’t change. I think there’s elements of humanity, and some of them do relate to judgment, like having good or bad taste, having a view on it, on whether something looks good or bad. Obviously, all of this sometimes is subjective, but some of it may not be as subjective as people think it is. The elements of contextualization. I think a little bit going back to what we did at Chamaeleon ourselves, where we built this platform, Mantis, and the objective of building Mantis was not really to replace us, was that it was a core augmentation layer in some ways that we would use investment or investor judgment as humans in the loop to systematize pattern recognition and a variety of other things, but that Mantis would really elevate all that judgment, not just in terms of timing, us being more productive, but also in terms of the quality of the decisions we’re making. Think of it as a little bit like having our human judgment in the context of operating Chamaeleon at a higher altitude, where we are more aware of the things that are happening and how they actually happen. The ability to really get to the data pieces and then make decisions on top of that that generate the needed alpha in our case for investors. What I mean by this is I think there’s always going to be core elements of humanity that I do think are going to be difficult for the machines to replace. For example, the taste piece people are like, “I can figure out what’s the taste in the market.” Yeah, but that’s mainstream. That doesn’t identify what’s the next big thing, which normally doesn’t start from mainstream. It starts from something else. It could start from opinion leaders and influencers. It could start by someone having a different way of addressing a problem and having a solution that hasn’t been thought through. For example, elements of creativity, I think, in human judgment and in human operations is something that I feel the machine will still have difficulty to replace.Bertrand Schmitt Let’s not forget how today current algorithms are working by feeding them enormous quantity of data, actually as much data as we can find. Finding more data is becoming a limitation these days. What it means is that it’s very hard for AI to think beyond its training data. There is some level of logic that’s being added, but at the same time, take the launch of the iPhone. What was the opinion before launch? Is that no, it doesn’t make sense. Not enough battery life, no keyboard, no this, no that. If you just base your analysis on what’s written out there, what’s being sold out there, you would just say, “It’s going to fail.” AI might really follow that more generic advice and perspective because that’s what in the training data and that’s what they’re in volume. It’s, of course, raising a lot of questions of, how do you improve the quality of the training data? How do you separate the weed from the chaff? There are a lot of questions there, and obviously, it will get better over time. But it’s still a critical part of how it’s working today. It won’t be that easy to change. I really like your point regarding Mantis, and I will say in general, platforms that you build with AI or leveraging AI capacity. Because when we say knowledge production is going to disappear, but we’ll keep judgment, it will be a different type of judgment because the quantity and quality of knowledge we will have in front of us to build our judgment will be very different. If suddenly we have for free the work of 10 interns or 5 junior analysts or whatever, and you can run that on nearly anything you do in life or at work, it’s completely dramatic. Your judgment was not used to be exercised so often because often you were missing quality data to have a judgment. Before it was a lot of finger in the wind and trying to smell something, but you didn’t have enough to make a serious analysis. Except if you are working as a strategy consultant, as you used to do, Nuno. That part is actually quite interesting. That the judgment itself will be exercised much more often and hopefully on the base of much more in-depth analysis for a lot of things. We will work very differently.Nuno Gonçalves Pedro We will go in-depth, faster and more fact-based, more data-based along the way. The question some of you might have right now is, is there some judgment that’s going to go away? Is there some judgment? We seem to be defining that there’s this organization, we’ll talk about it later, that goes from doers more into deciders. I think there’s some nuances to that, so I’ll just hit pause on that. In terms of judgment, obviously, there’s judgment that has been hidden over the years under the pretense of being wisdom, but it’s actually not wisdom. It’s just repetitive tasking, and it’s rules-based for the most. There’s a lot of judgment done, in particular in the white-collar space, that you could say it’s just reps. People have been doing it all along like that, and so therefore to say, “I’ve done it before like this, so I’ll do it the same way.” There’s actually no best in class, no analysis, no nothing. It’s just, “I’ve done it like that before.” I think that type of judgment will disappear because, again, algorithms will be as good, if not much better at that. They’ll be better at figuring out, actually, this would be the better way to do this. That’s how you play it forward. Then the question is, if there are fundamental, wise people in the organization, people that can really take that more complex elements of judgment, how do you go from the world we have today, which is a world of apprenticeship, where people come out of college, they go and work, and they learn their way, and therefore, hopefully over time, some of them, not all of them, we know that, but some of them will develop that wisdom to be great decision makers 15, 20 years down the road? How do we do that in a world that now is saying, “I don’t need people out of college because I can do it myself, and I can do individual contributor, and I can have agents doing the work that would require some manifestation of management in the middle.” Basically, “I don’t need this stuff. I don’t need you.” It’s a little bit the story we’re in. How do you create then this apprenticeship? How do we create then wisdom? My two cents on that is that wisdom, because of what we were just discussing and what, for example, myself and Bertrand was just saying, because of more often interactions with more data-stressed information and insights, what will happen is people will get better through their own reps in whatever form they’re doing, in day-to-day life, in internships, et cetera. In some ways, that will create the accelerated growth. It’s a little bit the interactions with agents and the interactions with our beloved AI algorithms that will create that growth over time and maybe not as much with other people. That still leaves the question around social interactions, but that’s probably the way this gets sorted. Apprenticeship gets sorted through the machine and the human having more interactions in effect.Bertrand Schmitt I agree with you because when we talk about apprenticeship, in some ways a lot of time was wasted on stuff that were not that important. But in a way, that was the price you had to pay in order to be there when people make the big decision to try to get some wisdom from that one hour of interactions that’s really useful and make a difference out of your full week. But the rest of your full week was just basic stuff that you had to do like a machine in a way. Why not let a machine do that? That, for me, is a big question. You could argue there is a transition period where it could be hard. For instance, if you can work hand in hand with AI smartly while you are doing your 4, 5 years of universities, you could graduate with a very different knowledge, perspective, judgment, skill set than anyone who graduated 5 years ago. I think that part will require a question around, “How do you change education?” You see what I mean? If you keep education the same way, expecting that the output is someone that should go now into 5 years of apprenticeship, that’s not going to work because companies will be, “No apprenticeship anymore.” On the contrary, you have to come much more knowledgeable and ready to use the tools. The tools are so efficient that the bar pretty high. You need to come already very well-grounded. If the education is not doing their job, that will be trouble. That part for me, I think is often forgotten. In some ways, the new-found importance of universities as a place to, and not just universities, the trade to really deliver people who are ready for the workforce. If on the business side, the expectation can change, of course, you have to change the education on the other side. My worry probably right now is that it doesn’t look like universities are in touch with what businesses are looking for, businesses are working on. Of course, that’s very worrisome because the cost of university has increased very significantly. It’s not clear quality of education has improved at all. If anything, it could be the opposite. It’s pretty scary. Of course, it’s going to raise a lot of questions. How much is education worth in that type of situation? Maybe another point because we talk a lot about apprenticeship, how this stuff was useful, but at the same time, if we go back in time, not long ago in the ’50s, if you wanted to be a developer, for instance, ’50s, ’60s, the job was very different. There was barely any programmation language out there. You had to use punch cards. Your time truly spent doing the coding was very limited. Once you had your stuff working, then, the debugging was a total nightmare. My point is that no one is looking back to that time saying, “You know what? It was great. It was a great way to learn and to do an apprenticeship for 5 years. To do that crappy job of punching cards for the boss.” There was little value in this. Guess what? Everyone is happy it’s not being done anymore by anyone. I think we also have to see what AI is bringing in a similar way is that everyone’s job is going to become quite different. There are a lot of big parts of the job who are not going to look back with fondness. Just looking back as, “Wow, that was very machine-like type of job. I’m glad I’m done with it.” People will want to jump directly to the next step. You don’t need to go to the punch card phase to be able to be a good developer for the past 40 years. I guess it will be the same with AI.Nuno Gonçalves Pedro I think so. The difficulty we have as humans is to also visualize dramatically different scenarios and landscapes, professionally. It’s difficult for us to anticipate what are the jobs of the future. Jobs have changed a lot in the last few decades, not even the last century. What people do, the migration initially from the agricultural society to then the industrial society to then the services society, and in some ways, the shift within the services industry, and now we’re seeing another shift, so we can’t really anticipate what those jobs look like. Back to your point on education, because I think that’s a very important point. If you’re right now an undergraduate student or a postgraduate student, for that matter, and you’re not figuring out your own mechanisms of learning outside of your syllabus, outside of what your professors are telling you, et cetera, you’re going to face very difficult times. If you’re not right now using all these AI tools proficiently, all these cycles of vibe coding, co-working, et cetera, with agents in the mix, you’re going to have a really tough time. If you’re not at this point in time as proficient as someone like myself or Bertrand, and given that we’re nerds, we’re relatively proficient with a lot of these tools that are out there. On top of it, some of us have our own platforms in-house. If you’re not as proficient as we are with those tools, you’re going to have a very difficult time because then people like us won’t need you. I think that’s the sad truth. It’s like at some point, if you’re not needed, you’re not needed. Then again, you may find something else that’s more interesting for you to do. Start your own company, go join a new exciting job doing whatever it is that you need to do next, et cetera. But again, I think the bar is very high. If you’re in college right now, again, undergrad, postgraduate, this is the time of transition. This is the worst time. It’s not the best time, it’s the worst time. Because education and all these institutions haven’t adapted to it yet. You need to adapt. You need to adapt. You need to adapt. If you don’t, you’re going to pay for it, not just in the loans you need to repay, but also in terms of actually having difficulty finding your career path in those first few critical years.Bertrand Schmitt You need to be especially proactive when you’re facing this type of period where businesses are adapting as fast as they can because they all know it’s going to be survival of the fittest very quickly. Universities typically are working on a very different pace, and it’s pretty guaranteed they are not going to have adapted as fast as businesses. In time of big dramatic change, it will be trouble. It will be trouble. Yes, you will have not fun. Not saying it was part of the deal when you sign up for that loan and decided to go for university. But that’s life. There has been issues before. It’s not the first time. You have to do something about it. You talk about your perspective about, “Hey, why do we need you if you are not already fluent and very efficient with these tools and stuff?” The truth, in some ways, it’s even worse than that. Each time we spend with someone who is not efficient with all of this is less time we spend with the tools that are already providing magic for us.Nuno Gonçalves Pedro Exactly.Bertrand Schmitt It’s a very big choice of, “Hey, do I spend more time training this person?” Do I just… there is an opportunity cost. Or, do I spend more time staying at light speed? Why do I slow down to do something else in the hope that maybe I will get to return versus the light speed I’m already on? It’s a lot of tension. Again, it’s certainly new. But if we want to look back, I think you talk about the switch from agriculture and society, industrial society, and now the service industry. The reality is that, yes, we have made dramatic changes in the past before. 140 years ago, we were 90% agricultural society in Europe, in the US, 90% of us. Today, it’s what? 2%. So my point is that that’s a normal evolution. There is no progress without change. Sometimes the rate of change is soft, and sometimes you have a step function. Now it’s a step function, and it’s also a pretty fast step function. Before, it could take decades to get new stuff being put in place, to have electricity come up, this or that. Now we see that the rate of investment in AI is insane, way beyond anything we have seen before. Two, in a way, a lot of the architecture behind the scene was already there to support an even faster transition. What’s new might be the pace of the transition, how unnatural it might look. But at the same time, if you put yourself in the shoes of someone who lived 150 years ago, I mean, this was also a dramatic change for them. From horses to cars to planes to rockets, pretty big change, maybe even bigger change.Nuno Gonçalves Pedro Maybe the silver lining, just to bookend this section, is one, there will be new roles. There are a lot of things we can’t anticipate. There will be new roles, there will be new jobs being created, and new things that we can’t really quite grasp yet. The second part is that the rules are changing, and they’re changing, I would say, in general, for the better. If you are a decision-maker or an organization, and you still have your job, you’re probably making more important decisions with more data, with more tooling around you, with less red tape, hopefully over time. I know that will not hold true for all the big corporations out there that are listening to us, but it is starting to happen. Things are making an impact on how decision-making is made. There’s less and less red tape along the way in certain organizations. There are more and more fact-based discussions happening as we move along. The silver lining is better jobs, more jobs, different jobs in the future, hopefully as well. Secondly, the second part of the silver line is that the jobs that exist today, hopefully, will be more interesting, certainly on the knowledge space and on this judgment space that we’re now introducing as part of this episode. The AI-Native Company: Org, Hiring, Culture Switching gears, maybe to how does that shift? How does the company of the future look like? How does an AI native company look like? I feel there are a lot of discussions on, “Oh, you only need one person to run everything.” Let’s not go to that level. We’ve had a couple of episodes where we focused on AI as your co-founder and a couple of other elements that you guys can go back to. Let’s focus on a more evolutionary view of what’s happening to organizations, and maybe start with the org structure. In general, we should see more flat organizations where mid-level managers have to justify their pay in some ways because middle management are routers. They are normally routing tasks. It’s sometimes aggregating it, synthesizing it, and pulling it back up. Guess what? AI and agents in general are very good at that. The synthesis piece, et cetera, is not as well needed. One could say there are several elements of middle management that are valuable, like the coaching of people, the creation of apprentices, and the accountability that comes with some of middle management. But lo and behold, most of middle management is seen as a little bit of a thin line that doesn’t need to necessarily exist. I feel we’re moving into a world of smaller teams, more senior teams, where there’s more judgment at the top, where you’ll have people that both do a mix of what we used to call management in its new form, but also a lot of individual contribution. If you’re not used to that, if you’re not used anymore to be an individual in the future, again, and if you’re a very senior in an organization, maybe this is the right time to either reinvent yourself, find some other job that doesn’t require as much of that, which we’ll have plenty of those jobs for the next few decades, or maybe retire. I’ve actually, shockingly enough, seen people who have said, “You know what? This thing is changing too fast, too dramatically. My industry is changing quite aggressively right now. I’m about to retire in a couple of years. I’m just going to retire now.” I’ve literally met two people who have done that. Again, there’s nothing wrong about it. I think we’re, again, going through a step function and a huge shift, but figuring out where you fit in this new model of organizations, more senior at the top, smaller teams, more of a mix of individual contribution with management than ever was done before.Bertrand Schmitt I agree with you. In some ways, I’m not surprised that some people might say, “You know what? It’s now time to retire.” I feel a bit sad, maybe because it means you don’t like to keep reinventing yourself and changing your habits and thinking about new stuff. You were a creature of habits, I would say, if that’s your conclusion. But everyone is entitled to their own opinion, obviously, and a way of life. I guess that’s what happened, again, at regular times in the past in terms of big change. What I can see is that the rise of, you can call it the full-stack individual, someone who will have multiple roles inside the team. Before, you had to really separate the role. Especially in the US, there is such a clear separation between every role you can have in a company. Let’s take a tech company. You will have people doing design, people doing different types of designs, people doing front-end development, back-end development, and operations. You see step-by-step hyper-specialization. I have seen that, and it’s true that the level of complexity you had to deal with at some point requires some level of hyper-specialization because it will take you 6, 12 months in order to be really, really strong on a specific topic, a specific language. God forbid, trying to go deep into something that you had no real experience into. But I feel with AI, it’s a big change, actually. It’s the opportunity to go beyond that. It’s the opportunity to do more, to touch more. You can combine designing and shipping code, product managing and shipping code, being an analyst and deploying. Of course, we have to think how it works because putting a marketer shipping code to production, maybe that will get you into trouble. But I think that there must be some change. We see it changing dramatically, how fast we can get into something, something different from what we are used to. I think it would be crazy not to take that opportunity to dramatically change the scope of many positions and put an end to that hyper-specialization. I think for me, in some ways, hyper-specialization was bad. There is only so much you want to be a specialist in because a lot of things, a lot of opportunities are actually coming from the mixing of many different ideas, many different perspectives, and you lose if you go to hyper-specialization.Nuno Gonçalves Pedro I don’t think the age that is coming is the age of the generalist. I think it’s going to be the age of the multispecialist. We’re going to go into an age of multispecialization, which is a little bit, we’ve mentioned it as well in the past, what Amazon defines as an athlete or T-shaped or pie-shaped people, people that have on top an amazing ability to do general management, strategy, managing teams, et cetera, then have spikes. Spikes into business development, corporate development, product management, whatever it is. With AI and with agents, the development of those spikes, as we’ve been discussing in this episode, will actually be easier. It’s almost like a given. If you want to go deeper and deeper into a certain area, you can go much faster. I think that level of multispecialization is going to be really cool to observe. I’m not sure we’ve had an age of multispecialization over the years. Maybe people would point out, well, the Da Vinci example, people that are great across very different areas. Maybe that’s an example of multispecialization. But honestly, from my perspective, this is going to be an exciting time because of that, because you’ll have people who, instead of being just focused on this area of sales, and I only do that, they can actually and should actually do a lot of other things. So the work, as we were talking before, can be more interesting. More demanding as well, because the judgments you need to make are more complex. The context you need to actually gain needs to be gained much faster. At a level of magnitude, you haven’t been able to do it before. Talk about information overload. But actually, ultimately, the roles can be a lot more interesting, a lot more exciting, because I can jump around. If I’m an investor, in this case, we have two investors on this conversation. But if I’m an investor, one of the things that we start looking at is actually not just looking at a startup as, is this startup doing something in AI or not? Is it AI-enabled or not? Is it an AI platform or not? But actually, more fundamentally, is this an AI native startup? Meaning, organizationally, culturally, is this the company that’s already in the AI age? How is the team working? How are they defining things? It’s not just that they only have two or three people. It’s like, what are those two or three people doing? How are they doing it? What cadence are they doing it on? What tools are they using? How are they making decisions? I feel we’re still actually relatively early on that track. It’s very interesting because we’ve had all these companies raising mega rounds. First round out, we invested in one of them, but there have been many frontier labs out there raising a ton of money. But a lot of them don’t have a fundamentally different way of doing business. Of organizing themselves, of how they do the day-to-day. Although they’re working on cutting-edge stuff, with very notable exceptions, they’re actually not using it themselves. They’re not actually shifting how they do stuff themselves.Bertrand Schmitt For me, that’s very interesting because in the past, I used to be quite conservative on how you manage and run a company in the sense that if you’re already in tech, if you are already on the cutting edge of what technology can deliver, and this and that, don’t waste time trying to invent a new org structure. Just focus on delivering something great, amazing, and be great at technologies. That’s already your huge differentiator. At the time, there was no real reason to innovate on the team organization. I have seen so many teams that tried to innovate, and it was just catastrophic because there was not much to innovate on, because we had decades of optimization that we could leverage. There was no reason to invent. But here it’s very different. There is a dramatic shift in how you can organize differently a company. I don’t think there are any blueprints yet on what’s the best way to do it because it’s too new. But at the same time, I would feel very bad to invest or support a company that first is not focused on AI or AI-enabled, but at the same time is not trying to innovate on the team itself. Because if you don’t do that, you’re going to get killed by someone who is going to innovate better than you on not just the product, but on the org as well.Nuno Gonçalves Pedro Indeed. The shifts are pretty substantial. If you look, for example, just at hiring, what do you hire for? Certainly, there’s this element of the multispecialized orchestrator, which normally will be someone with quite a lot of wisdom and expertise. It doesn’t necessarily mean someone who’s old, but someone who has the ability to work with all the AI tooling and platforms out there and be an orchestrator of agents. Why do they make judgments, make decisions, move stuff forward really, really, really quickly? Again, those jobs are going to be the best jobs. The second part, I think that is very interesting, around hiring, is you’re going to skew towards the elements that are potentially either very aligned with the use of AI tooling and platform, AI expertise, or being AI native, or someone who’s used to using AI. That’s one side of the fence. On the other side, you’re going to actually be optimizing to hire people that have the characteristics that will be difficult for AI to replace immediately, like taste and the notion of fundamental accountability and notion of implications, the notion of how you affect change in organizations, how you affect change in individuals, the elements of coaching, and beyond coaching. You’ll be optimizing for those kinds of hires as well. Then, last but not least, for me, I feel that there is a momentum already happening. I think it will happen even more, which is the tendency to under-hire rather than over-hire. The moment of the good old days of blitz scaling, “Oh, let me go and hire 300 people to scale my go-to-market and just land grab market.” Now, that’s not how it’s going to work. People are going to try and first get the efficiencies in-house with top talent and see if there’s, at the end, the need to hire more people or not, rather than the other way around. I think the issue here is a little bit of what we alluded to before in this episode. There is a tax on individuals. If you hire more people, you’ll have to manage people, you’ll have to work with them, et cetera. If I don’t need to, I might as well work with the agents that the tools and platforms that I use give me access to. Because that’s a world that’s much more efficient, right?Bertrand Schmitt I’m in total agreement with you on this. It’s definitely raising way more questions than before because, again, on one side, you have the product, the technology used to build products that are completely different. At the same time, all of this is also enabling new ways to design organizations and to scale differently, especially in a world where, as we have seen in 3, 6, and 12 months, stuff that you thought were impossible are suddenly becoming possible. So you’re, “Hey, I’m going to scale and burn a shitload of money for 6 months before I know if there is any return.” Versus, “You know what? Maybe I just wait 6 months. The AI has improved enough so that we don’t need this new team. We don’t need these people to do stuff.” Because actually, if you just wait 6 months, we will have stuff coming for free from either new AI models or new AI tools or this or that. If you remember, we used to say that in mobile, things were going three times as fast as on the web in terms of pace of innovation and speed of development and stuff. I mean, with AI, it’s 5X mobile.Nuno Gonçalves Pedro Maybe even more. Yes, well.Bertrand Schmitt Maybe even more, maybe 10X. Every assumption around blitz scaling or scaling in general was based on past assumptions. It’s not based on how is the industry evolving today. Might make more sense for you to really grow your agents and spend more money on more tokens. I remember, of course, Jensen is selling his business interest, but he was saying, “Hey, for each one of my 450K engineers, he better spend 250K in tokens a year.” I’m not saying it’s the right way to say it, but I think there is some truth in it, and that would be something to think about. Have we maxed out the token usage per employee? I’m not talking in a stupid way because token maxing and wasting money has no value and is as stupid as it gets. But if you are truly getting a return on these tokens, can you use more? Can you generate more? Can you create more loops so that one engineer manages not just 10 agents, but 50 agents, but 200 agents? I think that’s the big question. We’re trying to add more people. More people means more management, more issues, more this, more that. That would be a fair question. Another piece of the puzzle is how do you build in a way your… I don’t know if it’s a digital twin, but more like the digital version of your companies represented by agents. How do you make sure that everything you do as a business is truly captured, is truly leveraged so that your agents are getting better and better? Not just because the model gets better, but because you are putting more data into it, because it has more opportunity to learn, and as a result, gets better at your specific business.Nuno Gonçalves Pedro The next big thing is culture. How does culture change? I think the biggest shift that I see is, why would you do meetings all the time?Bertrand Schmitt Yes.Nuno Gonçalves Pedro At least at Chamaeleon, we have a very small team, just by the way. We have a very small team at Chamaeleon. We’ve reduced by way more than 50% the time we spend on meetings between each other across the board, one-on-ones, partner meetings, et cetera. I think we’re really pushing to be more and more asynchronous. There’s stuff you can process via message. I was just asking one of my colleagues, “Can you just send me that prompt for that so I can just do that on CoWork?” Or “Can I just go on Mantis and do this? Can you tell me the cycle?” Or vice versa. Basically, it’s a little bit like you’re just going to do it. I don’t need to meet. I don’t need to meet all the time. There are some things where we still need to meet and interact, and we need to brainstorm at times, and we need to go to a different level of abstraction on the top end. Then on the lower end, there might be things that are a little bit more specific and governance-related and operational-related that we need to agree on that are more sticky. But otherwise, the culture is going to be biased towards build. “Go and do it,” rather than, “Let’s do a meeting.”Bertrand Schmitt Yes.Nuno Gonçalves Pedro Async is the thing. I’m more and more like we have a couple of interns this summer. “Can we async this?” They’re like, “What does that mean?” “Can we make this interaction asynchronous?” Because synchronous interactions for me are very expensive. Can you send me something that I can process, and then I can send it back to you? We don’t waste time on you giving me context and whatever. Then I’m not ready quite yet because I need to process it. Maybe I’m in between two meetings that I’m actually thinking about other things in my mind.” Again, I feel that shifts how stuff is done. One, build rather than meeting. Two, asynchronous versus synchronous. In some way, millennials had it right when they shifted a lot to messaging and stuff like that. Let’s do more asynchronous rather than synchronous, those two elements from just an operating model of the company are significant. Maybe this is a good time for me just to put one parenthesis because there’s this thing that’s bugging me as we’re talking here. Everyone who is listening to us at this point in time might be saying, “Cool, but I work for this large organization. We’re just now…” Everything we’re saying here is contextualized by time. We’re giving you extreme situations. We’re looking into the future. Some companies that we’re talking about might be doing this already as we speak. Some of them might be in the process of doing this and might in the next couple of months be doing it like we are describing it here. Some of them might take years to get there. Then again, some of the companies that might take years might actually be destroyed in between or meanwhile, and be disrupted. Some of them might not because they’re in very legacy businesses, and it’s fine, and it’s okay. Again, don’t take everything that Bertrand and I are saying today as this is gospel, and it’s going to happen tomorrow, and why the hell are we not doing it? We think that aspirationally, this is where you should be moving to as an organization, whatever size you’re at. Speed will matter, as we discussed before, but not everyone, obviously, is going to move as fast as we’re describing it here.Bertrand Schmitt Yes. Me, for instance, take inspiration often with what some of the AI labs, frontier AI labs, are doing, the way they are working, especially in OpenAI and Anthropic. They are clearly at the top of the spear in terms of what is it that you can do because they have access to models we don’t have access to, because they have unlimited tokens they can use for tasks. They hire people who are, of course, 100% on AI. They are the best example of what is achievable if you have the top minds, if you have the latest models, if you have unlimited tokens. From there, you can take that for our needs and for our situation, and others in industries that are not as advanced. Definitely, you have some time. But as you say, things are moving fast, things are changing. Wall Street is going to expect better returns because when we discuss all of this, the conclusion is that you should be able to do more with less. That’s as real as it gets at some point. By the way, that’s what you see. You see better performance, a better business performance right now. So even if you might not get disrupted, you’d better start there. For some, it might take more time, and they might still be fine.Nuno Gonçalves Pedro Maybe to bookend this section, clearly what we’re saying is organizations are going to change. Their MOs are going to change, the structures are going to change. There are elements of what we discussed before in terms of judgment that are fundamental to this. The ability that in some ways, one would say a lot of the technique of getting solutions out there, even in brainstorming or problem-solving, is going to get democratized. The algorithms are able to do that. On the other hand, having points of view and having wisdom is not necessarily democratized, necessarily by the machines. It can be facilitated, it can be more productive in achieving that level of wisdom, but wisdom still will matter at the end of the day. We’re not saying that’s out of the question. Actually, that’s going to be the asset. People who have fundamental wisdom that can come to the table and frame things. We see this even today in prompt engineering, on just creating prompts. The better your prompt is, the better the outcome is going to be, the result that you get from the algorithms. That’s not going to change, in my opinion, anytime soon. That UI interaction piece is not going to change anytime soon. Again, if you’re an organization thinking through organizational structure, culture, if you’re thinking through hiring, these are some of the elements that we think will give you an opportunity, but I would actually go one step further. On the positive side, I would say, they give you arbitrage. If you’re able to move faster than your competitors and really adapt your org faster, you’ll reap the benefits faster as well. That’s what many still say and relate to as the word innovation. That’s how innovation gets accelerated. I think there’s a huge opportunity right now for arbitrage. If you move fast, experiment, experiment on new org structures, experiment with talent, you’ll know that some of them will work well, some of them will fail miserably, so you can’t experiment on literally everything. On the other side, I think the doomsday scenario is if you don’t, if you’re on the other side and your competitor is outpacing you on trying these different organizational models, structure, hiring models, and operating models, they’ll potentially just disrupt you. They’ll do stuff that you thought you had the moat on, and lo and behold, you don’t anymore. Sometimes it comes just from org, just from injection of people with a different MRO, different operating model.Bertrand Schmitt The Human Element: Are We Underestimating It? Maybe we can move to our next section about the human elements. Are we underestimating it or are we overestimating it? The three things that are a big part of the human elements, emotion, creativity, and synthesis. Is it just soft skills, replaceable part? On the contrary, is it the durable part now that we have automated intelligence?Nuno Gonçalves Pedro I’ll start with emotion first because I think it’s probably the easiest of all the ones you’ve mentioned. Emotion is key. Many of you listening to us will know this. The way you deliver a certain message, the emotion that you have when you deliver it, just in and of itself, this could be a sentence, it’s something verbal, et cetera. Makes a difference between the person or the people on the other side actually adopting it or actually just resisting it. Emotion is critical. It’s what runs the world. Everyone talks about a bunch of things, but emotion is a currency that is still naturally human. It will be, I feel, difficult for these AI tools and platforms to recreate it fully until there’s some literally very high-definition manifestation of them as avatars or some physical manifestation of them as robots and all that stuff. It will take a while for that emotion to be manifested. Emotion, I think, is still something that we as humans have as a moat, and it’s critical. As you mentioned before, I was a strategy management consultant at McKinsey, and getting people to action is actually 80% about the delivery, communication, the emotion that you surround the project itself, more than sometimes the truth. It’s great to have the truth and to have something that is similar to the truth in terms of analysis, but in some ways, that’s not what really moves change. Change is moved by, I would argue, a significant amount of emotion and alignment on emotions.Bertrand Schmitt You could argue that’s something that most politicians have perfectly understood. If you look at most campaigns these days, everything on emotions, maybe the tagline might be one word. It’s interesting when you see from that perspective that actually it’s very little on facts, very little on all of this, but more about emotion. You could argue it’s the same for businesses in the future? That’s a fair question. I think creativity is another one that’s quite important. At the same time, it’s not so easy because I must say I’m quite amazed when I’m looking for creativity from AI, either to generate the image, to generate video, to generate audio, or to generate text. AI can be pretty creative. I still think you need to control its creativity; you need to understand what’s good, what’s bad, what’s quality, but at the same time, I can see even in creative tasks, AI can be a very strong partner. I’m talking about any creative task, like invent a name for a product, let’s brainstorm the mission for the company. AI can actually be doing a pretty impressive job. That’s the type of job where you will hire experts, where you will use some of the best people in your team to help you for days. We say, “You can do quite a lot.” It’s an interesting one because I think there is some unique human creativity, and at the same time, AI can be pretty strong at creative task as well.Nuno Gonçalves Pedro I agree. In particular, if it represents benchmarking, if it represents repetition, if it represents seeing the world and then coming up with something that presents itself as creative, to be honest, it can actually outpace humans. If it’s like genuine light bulb moments of creativity, angles that haven’t been tried before, certainly not in the same way, I think humans still have the advantage. To your point, I agree. This is not a humans-win situation. On the previous one, on emotion, still, part of it is because, also on emotion, there are exchanges. You and I might be looking at each other, and from the facial expressions and the reactions, where you judge that for AI to get there, it’s going to take a long time. There’s going to be a lot of very complex algorithmic stuff put into that for AI to be able to create synthetic emotional behaviors, but creativity, I agree with you. There are a lot more nuances to it today, where AI does have significant advantages at the end of the day. Synthesis depends. Synthesis, I feel, if we’re talking about holding a bunch of messy assumptions, contextualized inputs with different layers of data adjacent to them and then trying to create and form one coherent, fully accountable point of view that you stake something on, like a decision, a company, a business unit, whatever, I think humans have the advantage. Part of it is the complexity of what we have today with generative, pre-trained transformers, today with GPTs, where the hallucination comes through, where it’s really more statistical analysis. Over time, maybe synthesis will be a forte for AI. Right now, I think we still have that ability to really be the ultimate decision-makers and judge-makers and have that wisdom put at the table to make those decisions. Honestly, models are very good on balancing both sides, so ended up, as we say in Portuguese, neither fish nor meat. It’s to balance both sides’ answers. That’s not helpful in most cases. When you’re in a difficult position where, for example, the future of a company, company is almost dying, what do you do? I’m not sure your AI algorithms that are going to give you a great solution. Because it will give you a median or average solution, which likely will lead you to a median or average outcome, which in this case would be failure. Again, on synthesis, there are some areas of advantage for human beings. If you are looking for clearly synthesized perspectives on certain elements that are maybe less edge-focused, they’re more than the normal part of the normal distribution, then probably AI agents are brilliant at that. All the tools we have today are pretty good at that, and I think they’ll just get better over time. That’s how I see synthesis.Bertrand Schmitt I think a lot of improvements will come with a better fine-tuning of agents to what’s special about your company. Because if you just take a general agent, there is only so much. It can understand your industry, your company, and your way of working. I think that part of making sure your agents are finely trained, finely tuned on your own business, so that they can give you a really well-calibrated feedback, will have a lot of importance.Nuno Gonçalves Pedro I think that’s absolutely spot on. Maybe to end it, what is definitely different about humanity? Definitely, emotion, as we discussed, some pieces of synthesis. Creativity, maybe the light bulb creativity, not the more repeatable creativity, the one that you can put and encapsulate into processes in some ways. There are elements of us being physical, which robots can’t still recreate. That’s definitely an advantage. The embodied, we’re embodied. That’s obviously a huge advantage. With that also comes advantages because we have to interpret each other, and we have to see the complexities in physicality that land to it. Is human and the human element categorical difference? If we’re having a more philosophical discussion around this, I think it is. I think it will be for at least the foreseeable future and maybe decades to come, even in whatever scenarios we’ll discuss, which is our next section, scenarios.Bertrand Schmitt I would say projecting beyond 10 years is always pretty hard on this because, again, some of the improvements we are talking about we can imagine based on how it has evolved, but at the same time, there will be disruptions in AI. Stuff that we take for granted in terms of weakness, especially, might not be there in a few years from now. Either because it has been solved through brute force or because the field will have made significant change and improvements and discoveries, making some of our points moot. If we talk about embodiment, obviously, robots are coming. How fast, how cheap? That will be a big question. Right now, they’re not very smart. They’re usually very specialized. The more we move to a more general form factor, humanoid form factor, the more I think it will change. Also, another piece of the puzzle is that we have the assumption of agents having trouble to convince humans and stuff. At some point, we keep assuming that humans in the loop. If we’re talking about agents convincing another agent, not having embodiment might be even more efficient. That will be another perspective. Going forward, we will have not just agents we control who are doing a job and scanning the job, but agents truly interacting with other agents. You have agents controlled by one person, one team in your company, working either together or maybe not confrontationally, but trying to think and having different perspectives with another agent, controlled by other teams. I don’t think we have seen much of that now. We have seen mostly agents that are controlled by one team doing one job in one direction. Not multiple teams agents working together, or against or in parallel with another team agent. I think we will see some interesting things coming out of that.Nuno Gonçalves Pedro Scenarios Switching to scenarios, we love our two-by-twos. We haven’t done one in a while. This time it’s a two by two. We have four scenarios. I think on one axis, we would have potentially the capabilities of AI. One side would be more incremental. The other side would be the extreme full AGI. I’ll define it in a bit so that we can at least have a little bit of a definitional view on what the AGI is. Then the other axis would be how gains are distributed, concentrated versus broad. Obviously, if they’re very concentrated, it’s more unequal. It only goes to a few companies, a few people, a few individuals. If it’s broad, it’s much more dispersed through society, et cetera. AGI, just to try to define it, the formal definition of it is that it’s a hypothetical AI that matches or exceeds human capabilities across virtually all cognitive and practical tasks. In some ways, AGI can learn, reason, and adapt to novel situations across any domain. Then there are several mutations on this, but there’s one notion, or rather, there are three notions that normally are across a lot of these definitions. One is generalization, ability to seamlessly transfer knowledge from one domain to another without needing retraining, which is a very impressive skill that we humans still seemingly have. Autonomy in agency, the capacity to operate independently, set goals, plan and execute complex tasks. I think AI is their issue with agents to a lot of that extent. Then, last but not least, human parity, performing economically valuable work at or above the level of a typical human knowledge worker. If you listen to one of our last episodes, you’ll realize that Bertrand and I have slightly different views on AGI, and if it’s already here or not. I think, definitionally, maybe we have slightly different views on what the definition actually is. For me, maybe AGI is a little bit more what some would call superintelligence and generalized superintelligence. Strict to census, Bertrand is more connecting to AGI as in its prime definition. It behaves as well or better than a human thing. Maybe that’s what’s leading us to differences on whether AGI has arrived or not.Bertrand Schmitt Personally, I will have a different scale where I will put AGI, as you just said, in some ways, relatively similar in performance to your average human being. On top of it, it’s able to touch different domains that most humans are not able to do. Usually, there is some level of specializations where in AI, it can be more generic. I will put ASI, Artificial Superintelligence, as clearly the step beyond. Something that, on any dimension you pick, it’s able to beat a human expert. From my perspective, I think we already discussed that, but we are at AGI already. We have AI that can do way better, not just way better, but at least as well as humans on many topics, sometimes better. Yes, there are some topics that are not for AI yet. Embodiment, for instance, to flock with your humanoid robot in 2026. For me, we are partially there or fully there in AGI. If we take the stricter definition, ASI, we are definitely not there, but my guess is that it’s moving quite fast. We might be there in a few years from now. I don’t think we are talking about multi-decades. It’s 5 years, maybe 10. Of course, there are questions because people will say, for instance, “Hey, how do you become truly super-intelligent when all your training is based on human data?” That’s not an easy one because how do you train on that? To be way better, not just a bit better, but way better. Maybe I’m going on a tangent, but some are looking at AI learning from AI, AI being taught from AI, AI fighting with AI, AI challenging AI. The same way we saw this AlphaGo moment where AI was not trained anymore, like in chess with human moves, but has been trained to play against itself. That’s when it reached superintelligence in Go. It reached superintelligence by playing against itself and basically letting go of that human baggage, if you want, and going to the next level. What I found interesting in that, actually, first, that’s what happened, but two, there was some analysis that the average level of Go players and the top players went up after AlphaGo because AlphaGo, in a way, opened doors that humans didn’t believe were open in front of them, or they didn’t see them. They didn’t see these doors, so they didn’t bother to open them. AI opened new doors, but interestingly enough, humans improved after that, thanks to AI. You see what I mean? It was an interesting, okay, that self-learning from AI was the way to go beyond the current level of human knowledge and human expertise, but at the same time, humans were able to follow up. It was not like suddenly humans are totally useless crap. They improved. Did they still beat AI? Maybe not, but it was definitely also helpful.Nuno Gonçalves Pedro Back to our scenarios. We’re going to take the definitional extreme just for argument’s sake for scenarios. We’re going to talk about maybe what you were saying, ASI rather than full AGI, but like ASI. Again, artificial superintelligence as the extreme on the one hand. Let me talk about maybe the first scenario that would come to mind. Maybe we can call it the plateau scenario. All of this was great, but it was all smoke and mirrors. They were great at some cognition stuff. They’re a great tool. At some point, they’re going to hit a wall. Hallucinations are never going to be a thing of the past. We can’t fully trust them on really hardcore stuff. We’ll gain productivity enhancements. We’ll keep gaining those productivity enhancements, but at some point in time, we really won’t reach ASI. We really will be stuck with what we have. It’s a little bit like we get the next big thing, the next big spreadsheet, the next big internet, but it’s not going to change the whole world beyond just productivity, enhancements, and amazing tools that we have available to us that makes us much better. In that scenario, the winners will continue being fast adopters, probably small and medium businesses, because there won’t be a push for maximum speed either, so they’ll catch up at some point. Then AI native companies will be better companies than other companies, but not necessarily overall disruptors across the board. It’s not necessarily a new species of companies. It’s just companies that are a little bit better at doing stuff, which we also saw during the internet phenomenon and that first big push forward and then bubble, where we had some companies that were fundamentally different on how they operated. It took us another couple of decades for companies to be more and more digitally native along the way. Basically interesting, but it’s boring. It’s like, cool, we got tools, we got promised the world. What are the implications? All these companies that are worth trillions and trillions of dollars are not worth trillions and trillions of dollars. Because at some point we’ll face competition, commoditization. It will just be tools and platforms. They will not unlock that next stage. Therefore, this will have been a bubble, and likely it would be a hard landing to that bubble. That’s the implication.Bertrand Schmitt I would just say that, yes, I agree with you, but I would just say overall, even if it stopped today in terms of quality improvement, speed or stuff, or it barely improves, I still think we will have 10 years of madness just to leverage everything that we have today.Nuno Gonçalves Pedro Understood, Bertrand. This is a scenario. I understand, but maybe we’re going to hit a wall, and we’re going to hit that wall next year, or we’re going to hit that wall in 2 years or whatever.Bertrand Schmitt Possibly. I’m just saying we still have 10 years of goodness from that big push in AI we experienced the past few years.Nuno Gonçalves Pedro Absolutely. Agreed, but it’s boring.Bertrand Schmitt It’s boring. It’s a plateau.Nuno Gonçalves Pedro It’s a plateau. The second one is more of something that we have AI, but humans in the loop are going to be critical along the way. The judgment work that we described earlier in the episode is going to be critical to everything that happens. It’s, I would call it the augmentation scenario. The AI will be a great augmentation tool for humans, but humans will never really quite stop being in the loop. Some of the gains that AI has are broadly distributed in society and in the startup, big corporation and small medium business world. Everyone will have access to them. We humans, are still very important. We have all these augmentation things, and AI is mostly benign. There will be a couple of issues, but honestly, at the end of the day, we’re just better. We’re better, faster, more data-driven, more factually current. We’re doing stuff faster, but humans

In this episode of the IBA Insider Podcast, Jon Whaley, Senior Aviation Analyst, and Jamie Davey, Manager – Engines & Parts, explore the supply constraints shaping the widebody cargo market, the rising demand for engine MRO, and what these trends mean for airlines, lessors, and the wider aviation industry.Sign up for the newsletter - https://www.iba.aero/sign-up/LinkedIn - https://www.linkedin.com/company/iba-aviation-consultancy/YouTube - https://www.youtube.com/channel/UCSkPhTf-05htY99V79fklMAWebsite - www.iba.aero

Appearing as a green speck on the Martian surface, NASA's Perseverance rover was spotted by the HiRise camera, just before it marked its marathon milestone.

The fleet of CFM Leap-1A and -1B is growing—so is the MRO capacity and capability. Two providers announced news, one of which hints at what could come next.

Triple M and 7NEWS reporter Xander McGuire joins Mick In The Morning to dissect all the stories out of Round 18 - including more MRO inconsistency, player movement rumours, Zak Butters' Port career in limbo and Damien Hardwick's declaration. Catch Mick in the Morning, with Roo, Titus & Rosie LIVE from 6-9am weekdays on 105.1 Triple M Melbourne or via the LiSTNR app. Mick In The Morning Instagram: https://www.instagram.com/molloy Triple M Melbourne Instagram: https://www.instagram.com/triplemmelb Triple M Melbourne TikTok: https://www.tiktok.com/@triplemmelbourne Triple M Melbourne Facebook: https://www.facebook.com/triplemmelbourneSee omnystudio.com/listener for privacy information.

What if your maintenance planning could anticipate demand before a single work order is created? In this episode of Inside SAP S/4HANA Cloud, we explore SAP IBP for MRO, SAP's end-to-end supply chain planning solution purpose-built for asset-intensive industries.Host Olena Iavorska is joined by Vivek Sinkar, Regina Kafizova and Indrasen Naidoo to break down how SAP Integrated Business Planning for Maintenance, Repair & Operations transforms the way organizations in mining, utilities, oil & gas, railways, and energy plan, manage, and optimize their assets and supply chains.Follow and subscribe on Spotify or Apple Podcasts so you never miss an update. On Spotify, join the conversation using the episode's Q&A and Poll; on Apple Podcasts, a quick rating or review helps others discover the show. Have a question, topic suggestion, or want to connect with the team? Write to us at insides4@sap.com — we read every message.

Josh Gabelich and Cal Twomey discuss all the latest footy news on AFL Daily. On today's episode: Dean Solomon’s coaching candidacy stocks continues to tumble Cal and Josh debate the MRO findings from the weekend Who is Collingwood’s next captain? The Dees continue to prove the doubters wrong Has Jake Stringer played his way into a new contract? Regular segments: Monday Marketplace, Gimme Something See omnystudio.com/listener for privacy information.

Freo's record winning streak ends at the hands of GWS, while West Coast rue a slow start against Adelaide. Essendon produce another disaster while more umpire and MRO drama fills the news.Music by The Southern River Band.Get your FLGMNTL merch - https://backchatstudios.com.au/collections/back-chatSubmit your Good Stuff Only story for a chance to win a $2000 grant from Revo Fitness - https://backchatstudios.com.au/pages/good-stuff-onlySend us a voice message - https://www.speakpipe.com/shelterfootycastShelter FootyCast is recorded out of BC Studios built by grounded. building tomorrow, together.w: https://grounded.com.au/Shelter is born and brewed in Busselton, WA.Check out the best range of beer going around: https://shelterbrewing.com.au/collections/beerShelter FootyCast is produced and recorded at BackChat Studios.w: https://www.backchatpodcast.com.auig: backchat__e: footycast@backchatstudios.com.auHomewise SolarPerth Solar | Solar Power in Perth WA | Homewise SolarHomewise Solar provides personalised solar panel solutions in Perth, WA. Enjoy top-tier products, expert service, and transparency. w: https://homewisesolar.com.au/SavvyWiseSavvyWise AI-assisted tax research (and more) built specifically for Australian accounting firms.w: savvywise.com.auRefer your accountant to receive free Shelter beers - savvywise.com.au/shelter00:00 start02:00 News10:00 Wildcard spots16:30 Eagles v Crows23:30 Freo v GWS35:00 Round 17 review50:00 Send ins#willschofield #aflpodcast #sportpodcast #sports #afl #football #drama #podcast #chat #funny #westcoasteagles #backman #defenders #elite #atlete #interview #podcast #westcoasteagles #fremantledockersShelter is born and brewed in Busselton, WA.Check out the best range of beer going around: https://shelterbrewing.com.au/collections/beerRecorded at BackChat Studios built by grounded. Hosted on Acast. See acast.com/privacy for more information.

Joel Peterson and Damian Barrett discuss all the latest footy news on AFL Daily. On tonight's episode: The Bombers are somehow getting worse The MRO findings are in and Damian Barrett doesn't agree with the findings Fremantle's unbeaten streak has ended! North Melbourne fall short in a crucial clash against Port Adelaide Damo hands out his MVP votes See omnystudio.com/listener for privacy information.

More than 20 fines and a suspension were handed down by the MRO for rough conduct, engaging in a melee and umpire contact during Gold Coast v Collingwood. What happened and are the sanctions fair? What's going on with the Suns and how have they fallen to where they are on the ladder? Plus, how can those in the Carlton coaching race respect the process?ABC AFL commentators Corbin Middlemas and Ben Cameron are joined by a rolling squad of former AFL players and legends of the game to analyse matches, deep dive the stories dominating the footy landscape, recap game highlights and talk through the latest AFL ladder standings. Our squad of Aussie Rules legends runs deep with champion ex-players like Brett Deledio, Marc Murphy and Luke Ball, record-holding coach Mick Malthouse and many more. The team discuss everything from AFL games and fixtures, to the AFL draft and key players' performance, and of course our highlights of the year; AFL Grand Final and AFL State of Origin.For more Australian Rules Football podcast content, catch every episode of ‘The ABC AFL Daily Podcast', hosted by Corbin Middlemas and Ben Cameron on ABC listen or wherever you get your podcasts, and get in touch with them on social media via @abc_sport 

Business aviation has spent decades climbing the same performance ladder: more range, more speed, larger cabins, better engines, better avionics, and more capable aircraft. That evolution created the modern business jet market and pushed the high end into a category that would have been difficult to imagine when the first purpose-built business aircraft entered service. But the next era may not be defined by simply building a bigger airplane. With aircraft like the G800, Global 8000, and Falcon 10X, the upper end of the market is already approaching the practical limits of range, cabin size, and price. Supersonic business aviation remains difficult. New air vehicle concepts may be promising, but business aviation has historically prioritized performance, reliability, and mission utility over radical experimentation. That raises a more important question for business aviation leaders: where does meaningful differentiation come from next? In this episode, I continue the conversation with Kevin Michaels and Richard Aboulafia of AeroDynamic Advisory about Time Machines: Business Aviation's Dynamic Journey. This second part looks at the future of the market: why the high end keeps marching upward, why the medium-cabin segment may need a new catalyst, how post-COVID usage patterns are changing ownership and operating models, and why the aircraft may increasingly be judged by what it enables onboard. What You'll Discover In This Episode Why the ultra-long-range business jet market has continued to expand, even when many people once doubted there would be room for multiple players at the high end. How the G800, Global 8000, and Falcon 10X reflect the continued march toward larger, more capable, and more expensive business aircraft. Why business aviation may be approaching a point where range, speed, and cabin size are no longer enough to create meaningful differentiation. How onboard connectivity, virtual workspaces, interiors, avionics, and human-machine interface may become more important to the next era of business aircraft. Why radically new air vehicle concepts may be harder to justify in a market that has historically prioritized performance and mission utility over fuel-efficiency-led experimentation. What the continued rise of ultra-high-net-worth demand reveals about the top end of the business aviation market. Why the medium-cabin and “workaday” jet market may need a new catalyst as the high end keeps pulling away. How business aviation usage has changed since COVID, including the shift away from traditional ownership and toward fractional, managed aircraft, and Part 135 models. Why “business aviation as a service” may become a more important way to understand the market's next phase. What leaders should watch as aircraft performance, ownership models, customer expectations, and onboard experience begin to define the next chapter of business aviation.   About the Guests Richard Aboulafia is a Managing Director at AeroDynamic Advisory, a boutique aerospace and defense management consultancy based in Ann Arbor, Michigan. He is also a Special Advisor on Aerospace & Defense at Eurasia Group and a Fellow of the Royal Aeronautical Society. Since 1988, Richard has tracked aircraft programs, markets, and companies as an analyst and consultant, advising aerospace manufacturers, defense contractors, and financial institutions on commercial aviation, military aviation, and broader aerospace and defense market trends. Before joining AeroDynamic Advisory in 2022, he was Vice President of Analysis at Teal Group. Richard is also a widely published aviation and defense writer, with regular columns in Aviation Week & Space Technology and work appearing in outlets including Foreign Policy, Forbes, The Wall Street Journal, the Financial Times, Professional Pilot, and others. He is the co-author, with Kevin Michaels, of Time Machines: Business Aviation's Dynamic Journey, a comprehensive look at the people, aircraft, technologies, business models, and market forces that shaped business aviation into the industry it is today. Connect with Richard on LinkedIn. Kevin Michaels is a Managing Director at AeroDynamic Advisory and a globally recognized expert in aerospace manufacturing, MRO, strategy, customer satisfaction, M&A advisory, technology assessment, and market analysis. Across his career, Kevin has advised leading aerospace OEMs, airlines, MRO providers, suppliers, and investors on the strategic and operational forces shaping the aerospace industry. Before AeroDynamic Advisory, he was Vice President in ICF International's Aerospace & MRO consulting practice and co-founder of AeroStrategy, which was acquired by ICF. He also held roles with Rockwell Collins Government Systems, The Canaan Group, and aero-engine supplier Williams International. Kevin is a columnist for Aviation Week & Space Technology's Up Front feature, a contributing columnist to Inside MRO and Forbes, and chairs the Industry Advisory Board for the University of Michigan's Aerospace Engineering Department. He is also the author of AeroDynamic: Inside the High-Stakes Global Jetliner Ecosystem, winner of the 2019 Choice Outstanding Academic Title Award. Connect with Kevin on LinkedIn. Buy the book Time Machines: Business Aviation's Dynamic Journey on Amazon.   About Your Host Craig Picken is an Executive Recruiter, writer, speaker, and ICF Trained Executive Coach. He is focused on recruiting senior-level leadership, sales, and operations executives in the aviation and aerospace industry. His clients include premier OEMs, aircraft operators, leasing/financial organizations, and Maintenance/Repair/Overhaul (MRO) providers, and since 2008, he has personally concluded more than 400 executive-level searches in a variety of disciplines. Craig is the ONLY industry executive recruiter who has professionally flown airplanes, sold airplanes, and successfully run a P&L in the aviation industry. His professional career started with a passion for airplanes. After eight years' experience as a decorated Naval Flight Officer – with more than 100 combat missions, 2,000 hours of flight time, and 325 aircraft carrier landings – Craig sought challenges in business aviation, where he spent more than 7 years in sales with both Gulfstream Aircraft and Bombardier Business Aircraft. Craig is also a sought-after industry speaker who has presented at Corporate Jet Investor, International Aviation Women's Association, and SOCAL Aviation Association.   Resources For more aerospace industry news & commentary: https://craigpicken.com/insights/. To learn more about Craig Picken, visit https://craigpicken.com/.

Many aviation businesses focus on aircraft insurance and general liability—but one of the biggest coverage gaps often begins the moment you sign a contract. In Part 3, Tim Bonnell Jr. explains why *Contractual Liability* is one of the most misunderstood areas of aviation insurance. From hangar agreements and fueling contracts to aircraft leases and maintenance agreements, many aviation businesses unknowingly assume liability that may not be covered by their insurance policy. If you operate an FBO, MRO, airport, flight school, charter operation, or any aviation business that signs contracts, this episode is essential viewing.

Business aviation is often misunderstood because the aircraft are the most visible part of the story. The brands, the cabins, the speed, the ramp presence, and the culture around private aircraft tend to dominate the public imagination. But the industry was not built around image. It was built around utility. From the early aircraft companies in Wichita to the postwar expansion of aviation infrastructure, from Gulfstream's focus on reliability and customer support to Learjet's cultural impact, from Cessna's utilitarian approach to the Falcon 20's role in the early FedEx story, business aviation evolved around one central promise: giving people and companies control over time. In this episode, I talk with Kevin Michaels and Richard Aboulafia of AeroDynamic Advisory about their book, Time Machines: Business Aviation's Dynamic Journey. Kevin and Richard trace the forces that shaped the business aviation market across decades. The deeper story is not simply how business jets became faster, more capable, or more recognizable. It is how business aviation became an operating system for access, connecting companies, communities, executives, pilots, manufacturers, service networks, and airports in a way the scheduled airline system never could. You'll also learn; How Wichita became one of the most important centers in aviation history Why World War II accelerated the business aviation ecosystem by creating pilots, mechanics, infrastructure, air traffic control, and mission familiarity. How early business aviation moved from converted aircraft and surplus DC-3s into purpose-built turbine-powered aircraft. Why Gulfstream's early success was rooted in understanding the customer's mission: short-field access, reliability, dispatch performance, and customer support. How Learjet became the cultural shorthand for business jets through design, performance, Hollywood visibility, and Bill Lear's marketing instincts. Why Cessna's slower, more utilitarian Citation strategy became a winning formula for customers who valued functionality and reliability over pure speed. How Dassault's Falcon 20 gained early momentum through Pan Am, Charles Lindbergh, Federal Express, and the U.S. Coast Guard. Why engine technology repeatedly expanded what business aviation could become. How fractional ownership changed business aviation by opening access beyond traditional whole-aircraft ownership and flight departments. Why general aviation, airport infrastructure, advocacy, and regulation remain foundational to the health of the business aviation industry.   About the Guests Richard Aboulafia is a Managing Director at AeroDynamic Advisory, a boutique aerospace and defense management consultancy based in Ann Arbor, Michigan. He is also a Special Advisor on Aerospace & Defense at Eurasia Group and a Fellow of the Royal Aeronautical Society. Since 1988, Richard has tracked aircraft programs, markets, and companies as an analyst and consultant, advising aerospace manufacturers, defense contractors, and financial institutions on commercial aviation, military aviation, and broader aerospace and defense market trends. Before joining AeroDynamic Advisory in 2022, he was Vice President of Analysis at Teal Group. Richard is also a widely published aviation and defense writer, with regular columns in Aviation Week & Space Technology and work appearing in outlets including Foreign Policy, Forbes, The Wall Street Journal, the Financial Times, Professional Pilot, and others. He is the co-author, with Kevin Michaels, of Time Machines: Business Aviation's Dynamic Journey, a comprehensive look at the people, aircraft, technologies, business models, and market forces that shaped business aviation into the industry it is today. Connect with Richard on LinkedIn. Kevin Michaels is a Managing Director at AeroDynamic Advisory and a globally recognized expert in aerospace manufacturing, MRO, strategy, customer satisfaction, M&A advisory, technology assessment, and market analysis. Across his career, Kevin has advised leading aerospace OEMs, airlines, MRO providers, suppliers, and investors on the strategic and operational forces shaping the aerospace industry. Before AeroDynamic Advisory, he was Vice President in ICF International's Aerospace & MRO consulting practice and co-founder of AeroStrategy, which was acquired by ICF. He also held roles with Rockwell Collins Government Systems, The Canaan Group, and aero-engine supplier Williams International. Kevin is a columnist for Aviation Week & Space Technology's Up Front feature, a contributing columnist to Inside MRO and Forbes, and chairs the Industry Advisory Board for the University of Michigan's Aerospace Engineering Department. He is also the author of AeroDynamic: Inside the High-Stakes Global Jetliner Ecosystem, winner of the 2019 Choice Outstanding Academic Title Award. Connect with Kevin on LinkedIn. Buy the book Time Machines: Business Aviation's Dynamic Journey on Amazon.   About Your Host Craig Picken is an Executive Recruiter, writer, speaker, and ICF Trained Executive Coach. He is focused on recruiting senior-level leadership, sales, and operations executives in the aviation and aerospace industry. His clients include premier OEMs, aircraft operators, leasing/financial organizations, and Maintenance/Repair/Overhaul (MRO) providers, and since 2008, he has personally concluded more than 400 executive-level searches in a variety of disciplines. Craig is the ONLY industry executive recruiter who has professionally flown airplanes, sold airplanes, and successfully run a P&L in the aviation industry. His professional career started with a passion for airplanes. After eight years' experience as a decorated Naval Flight Officer – with more than 100 combat missions, 2,000 hours of flight time, and 325 aircraft carrier landings – Craig sought challenges in business aviation, where he spent more than 7 years in sales with both Gulfstream Aircraft and Bombardier Business Aircraft. Craig is also a sought-after industry speaker who has presented at Corporate Jet Investor, International Aviation Women's Association, and SOCAL Aviation Association.   Resources For more aerospace industry news & commentary: https://craigpicken.com/insights/. To learn more about Craig Picken, visit https://craigpicken.com/.

Send us Fan MailThe aerospace and defense ERP market remains one of the most complex and highly regulated segments of enterprise software in 2026. However, evaluating ERP solutions in this space requires a clear understanding of the diverse business models that make up the industry. Aerospace and defense organizations range from OEMs and Tier 1, Tier 2, and Tier 3 suppliers to MRO providers, airlines, defense contractors, and specialized component manufacturers. As a result, operational processes, compliance requirements, quality standards, and supply chain dynamics can vary significantly from one organization to another. Therefore, selecting the right ERP system is less about finding a universally superior platform and more about identifying a solution that aligns with an organization's specific business model, regulatory environment, and long-term growth strategy.In this episode, our host Sam Gupta discusses the top aerospace and defense ERP systems in 2026. He also discusses several variables that influence the rankings of these ERP systems. Finally, he shares the pros and cons of each ERP system.Video: https://www.youtube.com/watch?v=ITidrgPRG9cRead: https://www.elevatiq.com/post/aerospace-and-defense-erp-systems/Questions for Panelists?

Xander McGuire joins the show to dissect the big stories out of Round 15. The team chat Saints injury fallout following loss to the Dogs, Josh Fraser going 5-0 as Carlton interim, MRO news and what club bosses will discuss when they meet on the Gold Coast today. Mick In The Morning Instagram: https://www.instagram.com/molloy Triple M Melbourne Instagram: https://www.instagram.com/triplemmelb Drop us a voice memo: https://www.mickinthemorning.comSee omnystudio.com/listener for privacy information.

The U.S. plans to reduce the number of aircraft for NATO operations, another A-10 lifeline appears, and discussions about restarting C-17 production. Also, owner-produced airplane parts, airport weirdos, a new album from Speed Brake Armed, how the NTSB uses audio spectrograms, lying flat on a broken Polaris seat, and Roman Numerals. Aviation News US Plans Major Cut to Fighter Jets, Warships for NATO Operations in Europe, NYT Reports Citing European officials, the New ​York Times reported that the U.S. plans to reduce the number of ⁠F-16 and ⁠F-15E fighter jets from roughly 150 to 100. Maritime reconnaissance ​aircraft would be cut from 26 to 15, and all eight aerial refueling tankers would be pulled. The ⁠New York ​Times said the U.S. aims to redeploy a missile-launching ​submarine and an aircraft carrier, along with several warships and jets ⁠that join ⁠the carrier's missions. One of two groups of bombers previously assigned for ​Europe's defense may also ⁠be reallocated. NATO spokesperson Allison Hart told Reuters, “Historically, there has been an over-reliance on U.S. forces and capabilities.” The U.S. European Command said in a statement that it would “rightsize” its contributions to the NATO Force Model. Congress Throws A-10 Warthog Another Lifeline The A-10 end of life is scheduled for 2030. Depot-level maintenance has stopped, and the 571st Aircraft Maintenance Squadron at Hill Air Force Base, Utah, has ended. The A-10 Weapons School is scheduled to end this year. However, an amendment to the House Armed Services Committee's version of the National Defense Authorization bill seeks to keep the Warthog alive. The amendment calls for the Air Force to keep supporting A-10 training, testing, experimentation, maintenance, and sustainment efforts. Other requirements include preserving lessons learned and operational expertise and maintaining a formal pilot training unit. A-10 Warthog's New Aerial Refueling Probe Is Now Operational In The Middle East The A-10C is now operating in the Middle East with the new probe-and-drogue refueling capability. First demonstrated in early April, it took only six weeks to become operational. Previously, the A-10 could only refuel from a KC-135. The KC-46 was not yet certified to refuel the Warthog due to the “stiff boom” problem, which could damage the receiving aircraft. Now A-10s can refuel KC-46s with the probe or from HC-130s, MC-130s, Marine Corps KC-130s, and KC-130Js from other operators. A-10 with refueling probe. USAF photo. Boeing “Encouraged” By C-17 Production Restart Discussions Restarting C-17 Globemaster III production would be extremely difficult, extremely expensive, but not impossible. There is interest from various operators and from the U.S. Congress, which has asked the Air Force to prepare a formal briefing on the feasibility of acquiring new C-17s. Driving USAF interest is a succession of crises in recent years that have put serious strain on the aircraft, and questions have been raised about the viability of the current plan to keep them flying through 2075. The C-17 is powered by the F117-PW-100, which is the military variant of the PW2000 family (the same engine that powers the Boeing 757). New engine production for the PW2000 stopped in 2016, and the USAF is currently depending on overhauls of existing engines to keep the fleet flying. So the MRO infrastructure, engineering expertise, and supply chain for supporting this engine remain very much alive. In March 2025, RTX announced agreements with JetZero to integrate the PW2040 engine and APU into its blended-wing-body demonstrator. So P&W is actively working on the PW2040 for a new application, which suggests the engine isn’t entirely dormant in their engineering ecosystem. The decision to restart the engine isn't just a P&W decision. The risk-sharing partners, like MTU Aero Engines, have to be on board. There are 222 C-17s in service with the U.S. Air Force today. The last plane was delivered in 2013, and Boeing shut down the line in 2015. Australia, Canada, India, Kuwait, Qatar, the United Arab Emirates, and the United Kingdom operate the C-17. C-17. USAF photo. Listener Mail Eclipse spare parts Mark writes regarding the discussion about Eclipse parts from Episode 896 and notes that FAR 21.9(a)(5) creates a framework for owner-produced parts. Where a certified part is unavailable, owners of certified aircraft can “produce” their own. And they can do that either by making it themselves or by contracting out its production to a suitably qualified supplier. There are rules about quality and the requirement that owner-produced parts be of equivalent specification to OEM parts, but as long as an aircraft owner can put their hand on their heart and assert that those conditions are met, they can supply parts to their maintainer and tell them to install them. See this AOPA guidance. Airport Weirdo Koeby has developed a crowdsourced gallery of airport weirdos, where travelers submit funny photos of strange things they spot in airports. No account is needed; you can just submit your photo, and it will be added to the gallery. It's called Airport Weirdo. New Album release by Speed Brake Armed Pete Buffington tells us about Speed Brake Armed’s new New Age album “Echoes Above the Infinite Sky.” This album takes the listener on a journey of flight from South America, to Spain, to the Cosmos, and back to ancient Greece. Inspired by over 35 years of real pilot experience. Video: 737 Echoes Above The Infinite Sky | Speed Brake Armed | Full Album | New Age Aviation Music https://youtu.be/slO-4xnVqHg Spectrograms Andy adds his perspective about the conversation on spectrograms in NTSB investigations. While he has absolutely no actual knowledge about NTSB processes or how they actually use spectrograms, he speculates based on his experience as an audio engineer for over 30 years: “Spectrograms have been a tool I use fairly regularly in production. To me, it mostly comes down to being able to recognize things that are hard to pick out. For instance, if there is some kind of unpleasant noise in the background of a recording, sometimes I can identify it and potentially filter it out, purely by ear.  Other times, particularly if it's not very far above the noise floor, it can be very difficult to pick out by ear.  In that case, I'll often look at a spectrogram. It's certainly not always helpful, but sometimes there are things that I can pick out visually that I can't pick out audibly… “So I can imagine that in a cockpit recording with a lot of background noise, examining the spectrogram might allow patterns to be detected that would not be obvious audibly. My guess is that they wouldn't be looking at the speech, but rather for indications in sound of what was happening mechanically. “For instance, if there was sound at a particular frequency, happening at a particular interval regularly, that might be an indication of something. That's the sort of thing that you can often see on a spectrogram even if it is audibly buried in the noise floor.” 14 Hours Lying Flat Patrick thinks maybe United could have done better: 14 Hours Lying Flat: United Polaris Passenger Pays $7,400, Gets Just $350 For Broken Seat. A United Airlines passenger has recounted her experience of flying in a faulty Polaris seat. She was forced to sit in a lie-flat position for the entire journey. After complaining, United offered her only $350. The ticket cost $7,388. DCCCXCIV Rob wrote in to say he enjoyed the value that Erin Applebaum brought to Episode 894. Also, that “with the very welcome return of David, this episode may well be the first podcast ever where the hosts have an odd number of kidneys!!” We also got a refresher on Roman Numerals. Mentioned The Great State of Maine Airshow, Saturday and Sunday, July 11 and 12, 2026, at Brunswick Executive Airport (the former Brunswick Naval Air Station). DARPA Lift Challenge at the National Museum of the Air Force in Dayton, Ohio.  Aug. 5-9. Hosts this Episode Max Flight, our Main(e) Man Micah, Rob Mark, and David Vanderhoof.

Mikhail Gladkikh has worked in oil and gas for many years. With this background, we obviously talk about energy market turbulence and the adoption of AM in oil and gas. We talk about what oil and gas companies want, how they are adopting 3D printing, and how it is being used. We also talk about MRO more generally, digital supply chains, and resilience, and manage to squeeze in a little about Würth Additive, where he now works. This episode of the 3DPOD is brought to you by FacFox, where your next product starts as a file and ends as a custom-made reality. With instant quoting, rapid design feedback, and on-demand 3D printing, CNC machining, injection molding, and more, FacFox makes it easier to test out ideas, fine-tune every detail, and manufacture with confidence. Curious what your design could become? Upload it and find out.    

Listen in as James Pozzi, Lindsay Bjerregaard and Dan Williams discuss the latest developments shaping China's MRO sector, including fleet development, aftermarket growth, evolving used serviceable materials strategies and workforce trends.

Defense is not just changing because the technology is changing. It is changing because the old way of buying, building, funding, and deploying that technology no longer matches the speed of the threat. For decades, aerospace and defense have been built around massive programs, long procurement cycles, and the assumption that the government could define a requirement, put it out to bid, and eventually get the capability into the hands of the warfighter. But Ukraine, Iran, China, unmanned systems, AI, cyber, and contested logistics have made one thing clear: “eventually” is no longer good enough. The next era will not be defined by one platform or one prime. It will be defined by systems, speed, supply chains, and the middle-market companies that can actually execute. Private equity is moving in, and venture capital is trying to understand defense tech. The primes are being forced to rethink what they build, buy, and divest. And founders who survived years of disruption are now sitting on businesses that may be more valuable than ever. Meghan Welch has a front-row view of all of it. As an investment banker focused on aerospace and defense, she joins me to break down why the industry is in the early innings of a major M&A boom, why the middle market has become the engine of the Defense Industrial Base, and why the companies that can scale, execute, and solve real bottlenecks may define the next era of American defense. You'll also learn; Why defense is moving away from single-platform thinking and toward systems, software, unmanned technology, and cross-domain capability How Ukraine, Iran, China, AI, cyber, and contested logistics are reshaping the way the industry thinks about future warfare Why traditional defense procurement has struggled to keep pace with commercial technology What OTAs, gauntlet-style competitions, and faster acquisition models mean for defense tech companies Why private capital needs stronger, multi-year demand signals before it can fully lean into national security technology Why the middle market has become the engine of the Defense Industrial Base What private equity sees in aerospace and defense, and why the sector is being treated as a safe-haven investment Why large primes may need to rethink bureaucracy, acquisitions, venture arms, and divestitures How dual-use technology, from Joby to SpaceX, could shape the future of defense logistics, launch, range, and payload Why energetics, precision manufacturing, MRO, maritime, and labor constraints are becoming critical investment and national security issues About the Guest Meghan Welch is the Managing Director of Brown Gibbons Lang & Company (BGL).  Brown Gibbons Lang & Company (BGL) is a leading independent investment bank and financial advisory firm focused on the global middle market. The firm advises private and public corporations and private equity groups on mergers and acquisitions, divestitures, capital markets, financial restructurings, valuations and opinions, and other strategic matters. BGL has investment banking offices in Chicago, Cleveland, Los Angeles, Boston, and New York, and real estate offices in Chicago and Cleveland. The firm is also a founding member of REACH Cross-Border Mergers & Acquisitions, enabling BGL to service clients in 30 countries around the world. For more information, visit www.bglco.com or connect with Meghan on LinkedIn.    About Your Host Craig Picken is an Executive Recruiter, writer, speaker, and ICF Trained Executive Coach. He is focused on recruiting senior-level leadership, sales, and operations executives in the aviation and aerospace industry. His clients include premier OEMs, aircraft operators, leasing/financial organizations, and Maintenance/Repair/Overhaul (MRO) providers, and since 2008, he has personally concluded more than 400 executive-level searches in a variety of disciplines. Craig is the ONLY industry executive recruiter who has professionally flown airplanes, sold airplanes, and successfully run a P&L in the aviation industry. His professional career started with a passion for airplanes. After eight years' experience as a decorated Naval Flight Officer – with more than 100 combat missions, 2,000 hours of flight time, and 325 aircraft carrier landings – Craig sought challenges in business aviation, where he spent more than 7 years in sales with both Gulfstream Aircraft and Bombardier Business Aircraft. Craig is also a sought-after industry speaker who has presented at Corporate Jet Investor, International Aviation Women's Association, and SOCAL Aviation Association.    For more aerospace industry news & commentary: https://craigpicken.com/insights/.  To learn more about Craig Picken, visit https://craigpicken.com/.     Check out this episode on our website, Apple Podcasts, or Spotify, and don't forget to leave a review if you like what you heard. Your review feeds the algorithm, so our show reaches more people. Thank you! 

How do we bridge the gap between the classroom and the cockpit? Today we speak with Natalie Allen, Project Manager for the Aerospace Gateway to Industry Schools Program, to discover how students are finding non-linear pathways into the rapidly expanding world of flight and space technology. Hosted by Ben Newsome from Fizzics EducationAbout Natalie Allen Natalie is a people-focused leader who believes that meaningful connections are the foundation of both personal growth and professional success. With over 20 years of experience in the aviation industry, she is deeply passionate about creating engaging, impactful experiences that deliver tangible results. As a Project Manager, Natalie oversees internal and external initiatives that bring industry and education together. She is dedicated to showing students and teachers that career pathways are rarely linear, helping them navigate the diverse opportunities available in modern aerospace. About the Gateway to Industry Schools Program (GISP) for Aerospace The Aerospace GISP provides a unique platform for the education sector and industry to collaborate. The program exposes students and teachers to real-world learning experiences, assisting them in making informed career choices and identifying direct pathways to employment. Through stakeholder engagement, steering committees, and industry partnerships, the program ensures the next generation is ready to lead in a high-tech workforce. Why Aerospace Matters Now The aerospace industry is reaching new heights, with Queensland already serving as a hub for half of the world’s top 10 aerospace companies. The sector is currently focused on the research, design, and development of a wide array of flight vehicles, including: Aeroplanes and rotorcraft Uncrewed aircraft (drones) Rockets and spacecraft, such as satellites Benefits for Students With the industry’s rapid growth, there is a critical need for young people to enter roles in maintenance, repair, and overhaul (MRO) to ensure aircraft safety and airworthiness. Furthermore, the rise of space-enabled services is driving demand for rocket testing and launch operations, creating cutting-edge career opportunities for students ready to look toward the stars. Connect with the Aerospace Gateway Schools: Website: aerospacegatewayschools.com.au LinkedIn: Aerospace Gateway Schools FB/Insta: @AerospaceGISP Hosted by Ben Newsome from Fizzics Education With interviews with leading science educators and STEM thought leaders, this science education podcast is about highlighting different ways of teaching kids within and beyond the classroom. It's not just about educational practice & pedagogy, it's about inspiring new ideas & challenging conventions of how students can learn about their world! https://www.fizzicseducation.com.au/ Know an educator who'd love this STEM podcast episode? Share it!See omnystudio.com/listener for privacy information.

Listen in as Jon Baker, president and general manager of AAR's Airvoyant, talks to James Pozzi and Lee Ann Shay about introducing agentic AI into procurement, what early adopters are seeing and where automation could have the biggest impact across the MRO supply chain.

MRO editors James Pozzi, Sean Broderick and Alex Derber discuss the war in the Middle East and its effects on the aftermarket—both so far and in the months to come. 

Oil is $100, airline losses are starting to show up, and Spirit's collapse is exposing just how hard it is to run an ultra-low-cost model when low cost has disappeared. Any one of those signals could make buyers cautious. Taken together, they should raise a bigger question: why are buyers inside middle-market aerospace and defense still leaning in? Public aerospace companies are still trading at strong multiples. Strategics still have currency. Private equity is still chasing platforms. Founder-owned businesses with real capabilities are still getting serious attention. Middle-market aerospace may be feeling pressure, but it is not behaving like a fragile market. What makes this part of the industry so unusual is that value is not tied to one clean growth story. Commercial airlines may be exposed to fuel prices. Ultra-low-cost carriers may struggle when “low cost” disappears from the system. But the middle market is full of companies supporting business aviation, defense, engine work, MRO, parts, certifications, and long-standing product lines that remain incredibly hard to replace. This is why buyers are not just chasing growth. They are chasing durability. In a world where many sectors are being disrupted quickly, aerospace and defense still reward businesses that can do difficult, regulated, safety-critical work consistently. In this episode, I sit down with Bill Alderman for our 300th episode of the Aerospace Executive podcast and for Bill's 25th year in the business. In this conversation, we unpack what the market is really telling us right now: where the strength is real, where the risks are starting to show, and why the best buyers in this industry still understand something tourists often miss: that aerospace rewards people who think long term.   You'll also learn; Why $100 oil is not an immediate market killer, but could become a serious drag if it stays elevated What airline losses may be signaling, and why Spirit's collapse is not necessarily the canary in the coal mine Why rich public market multiples give aerospace buyers more room to pay attractive prices How business aviation flight hours, fractional ownership, and OEM backlogs are strengthening the aftermarket story Why “capacity,” maintenance demand, and physical capability continue to matter in an AI-disrupted economy What makes aerospace and defense more durable than many other sectors Why carve-outs and spin-offs can unlock focus, energy, and operational performance How companies can become too large and lose the focus that made individual divisions valuable Why brands like Bendix, Slick, and other long-standing product names still carry enormous value in the maintenance hangar What private equity “tourists” often misunderstand about aerospace and defense Why industry knowledge matters when owning companies that support safety-critical systems The difference between making money in aerospace and respecting the long-term responsibility that comes with owning aerospace assets   About the Guest William H. Alderman (Bill) is the Founding Partner of Alderman & Company. Bill is an M&A specialist in the middle market of the aerospace and defense industry with over $2 billion in mergers and acquisition-related transactions to his name. Before founding Alderman & Company in 2001, Bill worked for 15 years on Wall Street and in the Aerospace & Defense Industry, principally on M&A transactions in the middle market. His employers included BT Securities, Fieldstone, and General Electric. Bill is a Securities Principal registered with the Financial Industry Regulatory Authority (“FINRA”) and has four securities industry licenses (Series 7, 24, 63, and 65). Bill is a commercial pilot and owns and operates a Cirrus SR22. URL Link: https://www.aldermanco.com/ LinkedIn - https://www.linkedin.com/in/williamalderman/ About Your Host Craig Picken is an Executive Recruiter, writer, speaker, and ICF-trained Executive Coach. He is focused on recruiting senior-level executives in sales and operations across the aviation and aerospace industry. His clients include premier OEMs, aircraft operators, leasing/financial organizations, and Maintenance/Repair/Overhaul (MRO) providers. Since 2008, he has personally concluded more than 400 executive-level searches in a variety of disciplines. Craig is the ONLY industry executive recruiter who has professionally flown airplanes, sold airplanes, and successfully run a P&L in the aviation industry. His professional career started with a passion for airplanes. After eight years' experience as a decorated Naval Flight Officer – with more than 100 combat missions, 2,000 hours of flight time, and 325 aircraft carrier landings – Craig sought challenges in business aviation, where he spent more than 7 years in sales with both Gulfstream Aircraft and Bombardier Business Aircraft. Craig is also a sought-after industry speaker who has presented at Corporate Jet Investor, the International Aviation Women's Association, and the SOCAL Aviation Association.

As the CFM Leap program nears its 10th anniversary of entering service, Aviation Week's Lee Ann Shay, James Pozzi and Dan Williams examine the ramp-up, MRO network, reliability and forecast for this popular engine that powers the Airbus A320neo, Boeing 737 MAX and Comac C919.

In this recording of April's livestream, Todd Curtis and John Goglia focus on all things related to aviation mechanics. John and Todd just completed their participation at the latest AMC MRO maintenance competition and they share the unique perspectives on the past, present and future of A&P mechanics.

Aerospace has always been a cyclical industry, one sector up, another down, capital moving cautiously between them. That's not what's happening right now. Every major sector is ripping at the same time, for completely different reasons. Commercial is coming back online. Aftermarket and MRO have been running hot since COVID. Defense is being pulled forward by geopolitical demand. Business aviation has settled into a stronger, more stable “new normal.”  It's rare to see this kind of synchronized momentum across the entire ecosystem, and when it happens, it changes how capital behaves. For years, aerospace exits were predictable. You built a solid business, ran an M&A process, and sold. IPOs were barely part of the conversation. Industrial manufacturing wasn't exactly exciting to public market investors. Now, IPOs are not only viable, but they're also often the better option. Industrial businesses that used to be seen as slow, capital-heavy, and unsexy are suddenly being revalued as AI-proof, infrastructure-critical, and in some cases, direct beneficiaries of the AI boom.  And that shift is forcing a new level of sophistication from operators. Because today, you're not just deciding whether to sell; you're deciding how to exit in a market with more options than ever before. Traditional M&A, IPOs, continuation vehicles—paths that barely existed or weren't taken seriously six or seven years ago are now all on the table at the same time. At the same time, there's a quiet risk underneath all of this. Fuel prices, geopolitical instability, and supply chain pressure. None of these have gone away. So the question isn't just how long this run continues; it's whether operators are actually prepared for the version of the market we're in now. In this episode, I'm joined by the Global Head of Aerospace and Aviation Investment Banking at Jefferies, Nick Fazioli. He breaks down what's really driving this moment across aviation, defense, and industrials, and what it means for operators thinking about growth, capital, and exit strategy in a market that looks very different from it did just a few years ago.   You'll also learn; The unexpected shift: how “boring” industrial manufacturing became one of the most attractive investment categories Why IPOs are suddenly back, and in some cases outperforming traditional M&A exits How AI is indirectly reshaping aerospace valuations through energy, infrastructure, and supply chain demand The rise of continuation vehicles and why operators now have more exit paths than ever before Where private equity and institutional capital are actually placing bets right now (and why MRO is so competitive) The hidden risks: fuel prices, geopolitics, and consumer pressure, and how quickly they could impact the system Why operators need to become far more strategic, not just in building businesses, but in positioning them for exit     About the Guest Nick Fazioli is the Global Head of Aerospace and Aviation Investment Banking at Jefferies, where he leads one of the most active practices across commercial aviation, business aviation, and aerospace services. Over the past 16 years, he's been at the center of some of the most significant transactions in business aviation, including the sale of Marquis Jet to NetJets and West Star Aviation's exit to Greenbriar Equity Group. With a front-row seat to M&A, capital markets, and the evolving investor landscape, Nick brings a unique perspective on where capital is flowing and how operators should be thinking about growth and exit strategy in today's market. Connect with Nick on LinkedIn.  About Your Host Craig Picken is an Executive Recruiter, writer, speaker, and ICF Trained Executive Coach. He is focused on recruiting senior-level leadership, sales, and operations executives in the aviation and aerospace industry. His clients include premier OEMs, aircraft operators, leasing/financial organizations, and Maintenance/Repair/Overhaul (MRO) providers, and since 2008, he has personally concluded more than 400 executive-level searches in a variety of disciplines. Craig is the ONLY industry executive recruiter who has professionally flown airplanes, sold airplanes, and successfully run a P&L in the aviation industry. His professional career started with a passion for airplanes. After eight years' experience as a decorated Naval Flight Officer – with more than 100 combat missions, 2,000 hours of flight time, and 325 aircraft carrier landings – Craig sought challenges in business aviation, where he spent more than 7 years in sales with both Gulfstream Aircraft and Bombardier Business Aircraft. Craig is also a sought-after industry speaker who has presented at Corporate Jet Investor, International Aviation Women's Association, and SOCAL Aviation Association.    For more aerospace industry news & commentary: https://craigpicken.com/insights/.  To learn more about Craig Picken, visit https://craigpicken.com/. 

Recorded live at MRO Americas 2026, Aviation Week editors and an analyst talk through the highlights of the big event and discuss MRO in the context of the current geopolitical climate.

This week on The Bitcoin Podcast, Jessie pulls back the curtain on the gym software he's been quietly building, an MRO (maintenance, repair & operations) platform designed to give gym owners something they've never had: real data. Every piece of equipment gets a digital record, like a VIN number for a car, maintenance history, repair logs, and predictive analytics that can save small gym owners thousands per year. It's the unglamorous infrastructure play hiding inside a billion-dollar industry that private equity hollowed out.Then Dr. Corey Petty and Demetrick cut through the legislative noise on two bills reshaping U.S. crypto:The GENIUS Act brings stablecoins into a real regulatory framework, opening the door for banks and institutions, protecting users from algorithmic collapses (think Luna), and creating a state-level pathway for smaller issuers. The catch? No yield on stablecoins, no FDIC insurance, and Big Tech gets to issue them without full banking standards.The CLARITY Act is the one builders have been waiting for, it ends regulation-by-enforcement, draws a clean line between CFTC and SEC jurisdiction, and has rare bipartisan support. But it's stalled in the Senate while the banking lobby actively fights it, and every month it drags, more crypto innovation moves offshore.Honest, unfiltered, and always building.

What happens to wholesale distribution when geopolitical tension, tariff policy, fuel inflation, and artificial intelligence collide at the same time?In this episode of Around the Horn in Wholesale Distribution, Kevin Brown and Tom Burton sit down with Steve Levy, VP of Enterprise Architecture at Infor, to unpack how macroeconomic volatility, global supply chain risk, AI governance, and enterprise platform strategy are reshaping the future of distribution. If you lead a distribution or manufacturing business and are wondering how to navigate tariffs, inflation, inventory exposure, and AI adoption responsibly, this conversation connects the dots.What You'll LearnHow geopolitical instability and energy market volatility directly impact diesel pricing, freight costs, and MRO marginsWhether borrowing against expected tariff refunds is strategic capital leverage, or hidden riskHow acquisitive distributors may find opportunity during economic uncertaintyThe difference between “running on AWS” and having real enterprise architecture and AI governanceHow AI augmentation, not workforce replacement, could enable distributors to scale revenue without proportional headcount growthEpisode Highlights:03:18 – Why the Strait of Hormuz matters more to distributors than daily pump prices11:42 – Fuel inflation, MRO cost pressure, and the inventory overbuying risk19:55 – Tariff refunds as financial instruments: Should companies borrow against future policy decisions?31:07 – Economic uncertainty and succession planning: Why volatility may accelerate acquisitions44:28 – AI governance vs. AI experimentation: What enterprise leaders must get right58:16 – Automation in credit, cash application, and operational workflows01:12:09 – Are leaders becoming too reliant on AI? The critical thinking question01:26:40 – Multi-model AI validation and the future of enterprise decision-makingMeet the Guest:Steve Levy is Vice President of Enterprise Architecture at Infor. He works at the intersection of cloud infrastructure, platform extensibility, AI governance, and enterprise system design, helping large distribution and manufacturing organizations modernize responsibly while managing risk.Tools, Frameworks, and Strategies Mentioned:Enterprise Architecture Strategy for DistributionAI Governance Councils and Multi-Model ValidationCloud Platform Extensibility within Infor ecosystemsAI Augmentation vs. Workforce Replacement FrameworkCapital Allocation Strategy During Tariff VolatilityClosing Insight:“Volatility creates pressure, but it also creates opportunity for the prepared.”Leave a Review: Help us grow by sharing your thoughts on the show.Learn more about the LeadSmart AI B2B Sales Platform: https://www.leadsmarttech.com/Join the conversation each week on LinkedIn Live.Want even more insight to the stories we discuss each week? Subscribe to the Around The Horn Newsletter.You can also hear the podcast and other excellent content on our YouTube Channel.Follow us on Facebook, Twitter, Instagram, or TikTok.

Host Fabian Alefeld speaks with Japan-based additive manufacturing consultant Peter Rogers about the state of additive manufacturing across Asia Pacific. Rogers contrasts Japan's advanced but risk-averse manufacturing culture - strong in incremental optimization, with slower certification (notably medical) and limited defense budgets - with faster-moving but smaller markets like Australia/New Zealand, where mining drives demand for rapid, remote part supply. They discuss China's manufacturing scale and government support, its growing dominance in desktop FDM, and how low-cost Chinese metal PBF machines can win and retain service-bureau business despite Western strengths in quality and productivity. Singapore is highlighted for academia and MRO, while Korea spans shipbuilding, semicon, automotive, and defense. Southeast Asia is still production-focused with limited local R&D, whereas India is rising as an English-speaking engineering and R&D hub for global OEMs. Both see lowering costs and AI enabling broader, consumer-facing AM applications.00:00 Welcome and Guest Intro01:49 Peter Rogers Background03:32 Moving to Japan05:12 APAC Additive Overview09:23 China Manufacturing Dynamics13:27 Reshoring and Kaizen Mindset18:45 Traditional Skills vs Additive20:57 Japan Nearing Inflection Point25:06 Top APAC Applications29:02 Japan Korea Industry Mix30:31 China Scale And Funding33:18 FDM Race To Bottom34:27 Bambu Ecosystem Advantage36:53 Metal AM Price Expansion38:23 Chinese Metal Machines Case40:30 Competing On Productivity44:10 Southeast Asia Adoption47:06 India RnD Powerhouse49:46 Future Consumer Breakthroughs52:40 Japan Pushing DED Limits55:30 AI Lowers Barriers57:13 Wrap Up And Farewell

From the 2026 CONEXPO-CON/AGG show floor, guest host Ben Brown interviews Luke Ferranti of Caplugs about trends in hydraulic system routing, bundling, protection, and identification, emphasizing the importance of cleanliness and keeping equipment running. Luke highlights Caplugs' hydraulic protection offerings showcased at their booth, including spiral wrap, pig's tail, polyester sleeve, and threaded protection service plugs, along with standard catalog items. Common needs discussed include sourcing spiral wrap and expanding packaging options for threaded protection (caps vs. plugs) to support everyone from local hydraulic shops to major OEM dealer/MRO operations, helping prevent leaks and contamination through sealing and cleanliness practices. Learn more at caplugs.com or via LinkedIn. #ContaminationControl #HydraulicSealing #Caplugs Subscribe to the Fluid Power Forum today to never miss an episode. The podcast is available on all of your favorite podcast platforms, including Apple Podcasts, Spotify, and iHeart Radio. Connect with our guest host, Ben Brown, at bbrown@nfpa.com. Connect with our guest, Luke Ferranti, at Luke.Ferranti@caplugs.com. Find and share more interesting fluid power technologies and unique applications using #onlyfluidpowercan and follow podcast and other fluid power industry-related updates at @TheNFPA.

From the difficulty of daily operations to the potential for revised aircraft retirement timelines, Aviation Week's MRO team discusses the wide-ranging consequences for the aftermarket of the Iran war.

We're only one game into the 2026 season, and yet we've already seen a shock debut, a big-name injury scare, three MRO dramas, a high-quality blockbuster and a down to the wire heartbreaking loss.It's been almost an entire season's worth of drama already! Not that we have much time to look back, though, with a red-hot Sydney awaiting, and a bunch of reinforcements needing to be called upon already.This week on the Roar Deal, we talk through all the drama of the Bulldogs season opener along with the team changes that will be needed for this week's trip to the SCG.Also this week:-The overwhelming response to the revamped club song-The first Roar Deal Medal votes for 2026-We go through your nickname suggestions for Cody CurtinAnd much more!This year, we are so grateful to be supported by Kartable - a trade procurement platform created by one of the Roar Deal family. For tasks or projects big or small, head to Kartable for your material or service needs. kartable.com.au/roardeal

Damian Barrett and Joel Peterson bring you the latest footy news on AFL Daily. The Magpies have kicked off their campaign in style beating the Saints by 12 points at the MCG. The Brisbane Lions have been hit hard by the MRO ahead of Round 1 vs. Sydney, while the Bulldogs were "ultra impressive" in their victory. Melbourne fans must be somewhat frustrated after Petracca and Oliver dominated in new colours, and to signify the start of a new season, Damo brings back his famous MVP. Subscribe to AFL Daily and never miss an episode. Rate and review wherever you listen to podcasts.See omnystudio.com/listener for privacy information.

There's MRO confusion already even though the home and away season has yet to start, Geelong's playing injury list games again and the CODE AFL show crew remember Dennis Cometti with their favourite “Comettisms.”See omnystudio.com/listener for privacy information.

Damian Barrett and Josh Gabelich bring you the latest footy news on AFL Daily. Roaming reporter Joel Peterson spent his Monday with 9 of the AFL captains ahead of Opening Round. We hear from Patty Cripps, Marcus Bontempelli, Cal Wilkie and Max Gawn. AFL Match Review Officer Michael Christian joins the show for a chat about the changes the game has made to the MRO going into 2026. Subscribe to AFL Daily and never miss an episode. Rate and review wherever you listen to podcasts.See omnystudio.com/listener for privacy information.

Industrial Talk is onsite at SMRP 2025 and talking to Candi Robison and Daniel Rimmasch with IFS/Ultimo about "A flexible EAM cloud platform for today's industry". Scott Mackenzie from Industrial Talk Podcast interviews Candi Robinson and Daniel Rimmasch from IFS Ultimo at the SMRP event in Fort Worth, Texas. Candi, with 25 years in EAM, discusses IFS Ultimo's cloud-based EAM solution, which integrates CMMS and EAM functionalities, addressing labor shortages, workforce retirement, and sustainability. Daniel highlights Ultimo's mobile capabilities, AI integration, and its ability to prevent data silos. They emphasize the importance of user-friendly interfaces, effective data capture, and training to ensure efficient maintenance and asset management. Ultimo's deployment can be as quick as three months, catering to various industries. Outline Introduction and Overview of Industrial Talk Podcast Scott Mackenzie introduces himself and the Industrial Talk podcast, emphasizing its focus on industrial insights and innovations.Scott highlights the importance of asset management, maintenance, and reliability, encouraging listeners to attend the SMRP event in Fort Worth, Texas.Scott introduces the guests, Candi Robinson and Daniel Rimmasch from IFS Ultimo, and expresses excitement about discussing their company's solutions. Background of Candi Robinson and Daniel Rimmasch Candi Robison shares her 25-year experience in EAM, starting with MRO software and later working at IBM before joining IFS Ultimo.Candi discusses the acquisition of Ultimo by IFS and the significant growth the company has experienced.Daniel Rimmasch introduces himself as a business development representative with a decade of experience in the industry, emphasizing his passion for helping people and staying updated with industry trends. Understanding IFS Ultimo's Solution Candi explains that IFS Ultimo is an Enterprise Asset Management (EAM) solution that bridges the gap between CMMS and EAM.She discusses the changing market landscape, with EAM leaders like Maximo and SAP evolving to asset lifecycle management.Candi highlights the importance of addressing labor shortages, workforce retirement, and sustainability through EAM solutions. The Role of Nano and Kevin Price Candi mentions Nano as a partner that provides devices for energy-centered maintenance, connecting to IFS Ultimo for actionable visibility.Scott and Candi discuss the role of Kevin Price, who is the head of EAM at IFS, and how Ultimo fits into the IFS cloud offering.Candi clarifies that Ultimo is a separate company from IFS, focusing on maintenance-centered conversations. Differentiation of IFS Ultimo Daniel explains that Ultimo's approach includes health and safety operations, making it a one-stop shop for asset management.He emphasizes the importance of preventing data silos and providing a singular view for all departments.Daniel highlights that Ultimo is a cloud-based software, offering continuous support and additional features as clients progress in their journey. Deployment and Implementation of Ultimo Daniel explains that Ultimo's typical deployment can be as short as three months, depending on the client's needs.Candi adds that Ultimo is multilingual, multi-currency, and multi-time zone, and can be deployed globally without a system integrator.Scott and Candi discuss the importance of training and change management, starting with understanding the customer's process. Future Trends and AI Integration...

In this sponsored podcast Brian Couch, Segment Manager for Aerospace & Defense at Averna, discusses the critical role of quality test data in modern MRO operations and how centralized, structured data practices can improve reliability, reduce turnaround times, and strengthen the feedback loop between MROs and OEMs. Learn more about Averna's solutions here

Host Justin Barnes invites Anthony Murray, Chief Interoperability Officer and ISSO at MRO. With over 20 years in healthcare, Anthony shares insights on interoperability, FHIR, TEFCA, security and trust challenges. MRO pledged to the CMS ecosystem to be part of the solution, Anthony explains where this goes from here. To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

In this episode of the MRO off-season Bible reading plan we share a short devotion on 1 Peter 5.

In this episode of the MRO off-season Bible reading plan we share a short devotion on 1 Peter 4.

In this episode of the MRO off-season Bible reading plan we share a short devotion on 1 Peter 3.

In this episode of the MRO off-season Bible reading plan we share a short devotion on 1 Peter 2.

In this episode of the MRO off-season Bible reading plan we share a short devotion on 1 Peter 1.

In this episode of the MRO off-season Bible reading plan we share a short devotion on Colossians 4.

In this episode of the MRO off-season Bible reading plan we share a short devotion on Colossians 3.

In this episode of the MRO off-season Bible reading plan we share a short devotion on Colossians 2.

In this episode of the MRO off-season Bible reading plan we share a short devotion on Colossians 1.