Podcasts about ai revolution

In business and in sales, the future is changing faster than most can keep up. AI isn't just a buzzword anymore. It's transforming how deals are made and how teams operate. In this episode of the #DoorGrowShow, property management growth expert Jason Hull sits down with Steve Trang of ObjectionProof.ai to explore how AI sales reps can book appointments, review calls, and follow up with leads instantly, what this means for property management entrepreneurs, and why learning to leverage AI now is critical to staying competitive. You'll Learn [01:24] The AI Revolution [11:11] AI Sales Reps [17:39] The Future of AI in Sales [27:31] The Importance of Asking Good Questions [34:49] Setting Impossible Goals to Grow Faster Quotables “I'm not here to say your job is at stake, but you should operate as if it is—because if you're not, you're going to get replaced.” “The version of AI today is the worst version you'll ever deal with—because it's only getting better.” “AI can instantly—99.9% uptime—call the prospect, ask questions, and book an appointment for you or your salesperson to actually run the sales process.” Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Steve Trang ObjectionProof.ai (00:00) We are building out an AI agent that can actually run sales.   call the prospect, ask questions, book an appointment.   for you,   so it actually sounds like you're having a conversation with another human being.   Jason Hull (00:14) All right, I am Jason Hull, the founder and CEO of DoorGrow, the world's leading and most comprehensive coaching and consulting firm for long-term residential property management entrepreneurs. For over a decade and a half, we have brought innovative strategies and optimization to the property management industry. At DoorGrow, we have spoken to thousands of property management business owners, coached, consulted, and cleaned up hundreds of businesses, helping them add doors, improve pricing.   increase profit and simplify operations and build and replace teams. We are like bar rescue for property managers. In fact, we have cleaned up and rebranded over 300 businesses and we run the leading property management mastermind with more video testimonials and reviews than any other coach or consultant in the industry. At DoorGrow, we believe that good property managers can change the world and that property management is the ultimate high trust gateway.   to real estate deals, relationships, and residual income. At DoorGrow, we are on a mission to transform property management business owners and their businesses. We want to transform the industry, eliminate the BS, build awareness, change perception, expand the market, and help the best property management entrepreneurs win. Now, let's get into the show. All right, my guest today is Steve Trang of objectionproof.ai, and we're gonna be talking about, I guess, the future.   Does that sound about right?   Steve Trang ObjectionProof.ai (01:36) Yeah, I would say that's very, very relevant, even more acutely today than normal. Yes.   Jason Hull (01:42) So we are in the middle of this insane AI revolution. know, AI is taking over quickly. Everybody's talking about all the jobs that are going to go away. Everybody's playing with chat GPT. It's becoming like their second brain. We're all maybe getting a little dumber because of it. Who knows? But we're also getting more more capabilities.   Steve Trang ObjectionProof.ai (01:59) Yeah.   Jason Hull (02:03) It's all speeding up so quickly even before we started. I'm like, I just tried this tool and you're like, have you heard of this tool? And like, there's just so many tools out there. before we get into all that, Steve, tell us a little bit, give us a little background on you as an entrepreneur and how you kind of got into entrepreneurism and what led to objection proof.   Steve Trang ObjectionProof.ai (02:26) Yeah, so it's going to be a long, secretive road because I got into real estate in 2005. So, you know, I did the good, you know, the, the get good grades so can get a good job deal. Right. I all that. was an engineer. I worked at Intel. and I realized fairly quickly, I wasn't manageable. And so, I had to, I had to find something else where I could work for myself. I read rich dad, poor dad from that. It's like, I got to do real estate, but.   I didn't take the advice quite right because I became a realtor in 07, not a good time. So that was a major, major humbling experience. I did some short sales, which are relevant again today. I a list of properties for banks, eventually started my own brokerage. You know, when the bank, when the foreclosure started dying down, became, my own brokerage. Did pretty well. had almost 1 % or we had 1 % market share for a very, short period of time. In the Phoenix market, one of every 100 transactions went through our brokerage.   then, I started buying houses, cash started wholesaling, did some flipping, started a podcast disruptors, which is where most people know me from. And then along the way I started a sales training program, started a title company, did some mortgage joint ventures. and then where we are today is AI. I probably sound very ADHD. I promise you, I don't have it.   I'm just always chasing the next object, which is very much a symptom of ADHD. But I can sit down and focus for long periods of time. It's just that I'm an entrepreneur, I started out as entrepreneur, and it wasn't until the last two, three years that I've actually learned how to actually sit down and focus. So that's how we got here.   Jason Hull (03:58) Okay, yeah.   All right, cool. So now that you know how to focus, what are you focused on?   Steve Trang ObjectionProof.ai (04:05) Our focus is at this point more than half of my work schedule, which is more than 50 hours a week, right? It's probably like 60 or 70, is on AI. And the reason why is because things are changing so fast and the things we're trying to do are so innovative. And everyone says that, right? But like We are building out an AI agent that can actually run sales.   And so that is something that a lot of people have promised is something we're actually doing. Now, it's not going to buy a house. Is that going to convince a landlord to allow you to do property management? You're still going to have to do the heavy lifting. But what it can do is initiate the conversation, right? So if someone fills out a form, AI can instantly, 99.9 % uptime, right, because it's all technology now, call the prospect, ask questions, book an appointment.   for you, the business owner or salesperson, to actually run your sales process. So we can actually book appointments. It sounds real. You can't tell it's AI. Well, if you're really, really deep in the AI world, you could probably tell it's AI. But most people can't tell it's AI. And so it actually sounds like you're having a conversation with another human being. And it took a lot of effort to make that happen.   Jason Hull (05:22) Yeah.   Steve Trang ObjectionProof.ai (05:23) So that's where a core, a very, very heavy percentage of our detention is today.   Jason Hull (05:28) Got it. Yeah. I've started playing around with it. I haven't pulled the trigger to actually have AI agents calling or cold calling my prospects. I'm a little nervous about doing that.   Steve Trang ObjectionProof.ai (05:36) Mm-hmm.   It's a there's there's elements of leap of faith, right? But you can also test it. You know, we have a if you want to, you know, give it out, we have like a way to opt in for AI to call you so you can hear for yourself what it sounds like. It's not perfect, right? Like the we launched it on August 1st to all our existing clients. So, you know, not that long ago. ⁓ And we're learning about bugs that we weren't aware existed as we're testing it.   Jason Hull (05:59) Yeah.   Yeah.   Right. Yeah.   Steve Trang ObjectionProof.ai (06:06) because that's how new this is, right? So we're still iterating   and getting better all the time.   Jason Hull (06:10) Yeah, got it. OK, cool. Well, that's that's the future. I mean, the amazing thing is. I just signed up for an AI tool like this last weekend and they had this chat bot on the home page that you click talk and it's like a voice, it talks to you and it can hear you talk and it was in the voice of one of the principals of the company. And it was like really good. I don't know if they use 11 labs to do the voice or whatever.   Steve Trang ObjectionProof.ai (06:29) Yeah.   Right.   Mm-hmm. It's probably   11 labs, so that would be my guess.   Jason Hull (06:40) But   yeah, it was like his voice and I could ask it anything. I was asking like, it do AI, like can it do API integrations with HubSpot and how would it connect to this? And it was like giving me, yeah, you could do this and this is how it would work and this way. And I was like, there was no question I could ask it, it didn't know. And it knew everything about the tool. I could ask all sorts of questions about its capabilities and it's like, nope, we don't have that functionality but you could do it this way. And I was like, I was like.   Steve Trang ObjectionProof.ai (06:53) All right.   Jason Hull (07:07) I felt like it knew more than any salesperson at their company I could have talked to.   Steve Trang ObjectionProof.ai (07:12) Oh, 100%. Yeah.   Jason Hull (07:14) And so I was really blown away. was like, I I spend hours asking questions because they had, it was like, you have to pay for the year for this tool, right? So I was like, I'm not going to pay for the year for a tool. If I don't know, like I can't trial it or anything. So I was like, I'm asking every question and because it could answer every question I could throw at it with ease. I got all my answers asked and nobody there had to spend any human labor time to talk to me. And I signed up.   Steve Trang ObjectionProof.ai (07:22) Yeah. ⁓   Jason Hull (07:42) It was pretty wild. And I'm like, wait a second, could I do this? Can my clients do this? Yeah. But yeah.   Steve Trang ObjectionProof.ai (07:48) ⁓ You can answer   all the questions. That's not a sales thing, right? Because we have a philosophy that sales is an emotional process, not logical process. So it can answer all the questions. It can remove a lot of the obstacles. But someone still needs to either sell a story or a dream. Or our philosophy is can we ask Jason enough questions.   Jason Hull (07:55) Yes.   Steve Trang ObjectionProof.ai (08:09) where Jason can formulate his own dream and decide to purchase himself. Because the thing we talk about is we don't sell. We get prospects to sell themselves. And so the one thing that AI cannot do just yet is to get you to sell yourself so that you're willing to sign a contract or pull out a credit card. The thing about entrepreneurs, business owners, and salespeople, the reason why we're such great buyers is because we tell ourselves great stories.   Jason Hull (08:18) Yes, totally true.   Yeah.   Steve Trang ObjectionProof.ai (08:34) The   general public is not as good at telling ourselves as great as stories. And so they don't need someone to facilitate that conversation to get them to pull the trigger.   Jason Hull (08:42) you   Yeah, I've really followed Jeremy Miner's kind of new model of selling sort of formula is NEPQ stuff. And because I noticed sales was getting harder and harder, like people didn't trust. And we're like in this post trust era, nobody trusts anything anymore. so, you know, everything's fake. Like is everybody's perception, especially since the pandemic, everybody got a little bit burned, you know, in the last several years. We're like, everybody's trying to trick us like   Steve Trang ObjectionProof.ai (08:48) Mm-hmm. Yeah. Yes.   Exactly.   Mm-hmm.   Everyone has an agenda. Yeah.   Jason Hull (09:10) And nobody has our best interests at heart. Everybody has   an agenda. And I'm actually working on a book right now called the Golden Bridge Formula, which is my philosophy in selling, which is basically if you can showcase how, if I am purely selfish and I'm achieving what I want out of life, I can show how it benefits you, my prospect. And so everybody can trust our motives. If the default assumption in sales is that your motive is to get their money.   Steve Trang ObjectionProof.ai (09:19) All right.   are mutually aligned.   Jason Hull (09:34) which is a really crappy sort of motive, right? But I have something I want more than money, right? Which relates to my purpose in life. And so we teach our clients how to build that golden bridge and how to do that. So I think it'll be really interesting to see when people start to build. I think that's the thing is it would take some real intelligence from, you know, a human that understands empathy and understands this.   question-based selling in order to build out AI bots that can do it. Well, I don't know, but we'll see.   Steve Trang ObjectionProof.ai (10:04) I would estimate we're probably about 12 months out because we can do it pretty well right now, but we can't do it well with latency and enough information. So like when we're scheduling appointments, like the reason is not to schedule an appointment. There's only a handful of objections, right? But when we're doing real estate,   Jason Hull (10:14) Yeah.   Mm-hmm.   Steve Trang ObjectionProof.ai (10:24) there's a lot more questions that need to be answered. And also there's all sorts of different creative ways we can solve the problem, right? Like, you know, the traditional buying land creatively is like, all right, Jason, look, you can pick price, you can pick timeframe, you can pick payments, but you can't pick all three, right? We're not quite there yet, because the dimensions of how you can negotiate a real estate transaction.   Jason Hull (10:40) Yeah.   Steve Trang ObjectionProof.ai (10:47) It's substantial, right? It could be like, what's most important to them? Is it the depreciation? Is it the tax consequences? Is it the appreciation? Is it the cashflow? Is it I need to hide my taxes, right? Like what is your agenda? And so like AI doesn't have all the information today.   Jason Hull (11:02) Hmm.   Steve Trang ObjectionProof.ai (11:04) But I imagine 12 months from now, we can have enough data, can have AI figure all that out.   Jason Hull (11:10) Yeah, I would think so. okay. Well, tell us about objection proof. Like what is it?   Steve Trang ObjectionProof.ai (11:17) Okay. So, before we get into that, I've been a sales trainer for more than six years now. So we've been coaching the top, house buyers across the country. You know, I'm in Collector Genius, I'm in boardroom and family mastermind. And so like, I work with the biggest and best operators across the country. And as I was looking at it, we've trained hundreds of sales teams and we've trained thousands of salespeople. And so when we talk about our AI tool, it's really just leveling up what already existed.   Jason Hull (11:29) Mm-hmm.   Steve Trang ObjectionProof.ai (11:45) And so earlier this year, we had three different individuals. We Stephanie Biders, the left main, Brad Chandler with Express Home Buyers, and then Casey Ryan, another really successful wholesaler in Vegas. All three of them, in a course of days, pulled me aside and said, hey, Steve, can you create an AI tool that does this? Hey, Steve, can you create an AI tool that does that? And the things they were asking for was an AI tool that can do automatic call reviews.   Right, because there's nothing more frustrating as a business owner than to sit down and listen to call reviews, right? I'd rather cold call than listen to a call review. And so, ⁓ so can you automate the call reviews? Especially if it's bad calls, yes. Right, and so can we automate call reviews? all right, so I set out to figure out how to do that. The other problem was like, how do I know my new salesperson is now ready to take leads I'm paying for?   Jason Hull (12:20) Right.   Right, especially if it's mad calls.   Steve Trang ObjectionProof.ai (12:43) You hire a salesperson, you onboard and you train them. When are they actually ready for leads that you're spending three, $400 for? Okay, so let's create a roleplay bot that can measure the quality. And then the last thing is how can we have our salespeople train every day on your ideal sales process? So again, the same idea with a roleplay bot is that you can call it every single day and train on it. So we created that.   Jason Hull (12:44) Right.   Steve Trang ObjectionProof.ai (13:12) earlier this year and that's been growing like gangbusters. Right. And then the thing again, we just launched this past week or week and a half now is an AI lead manager, which takes it from like someone that fills out an inquiry on the web form to calling them within seconds, right? To talk to them, to schedule an appointment. And the great thing about AI is that it has zero call reluctance. And I can tell you in my own personal experience as the one that created this tool.   Jason Hull (13:30) Yeah.   Yes.   Steve Trang ObjectionProof.ai (13:40) When I built it out, I forgot to iterate, like this is super nerdy stuff, right? But like, hey, call three times and stop, right? But I didn't get the counter right, so it always started zero every time I went through the loop. It called me 15 times in a row before I figured out how to shut it off, right? So it's got zero call reluctance. Oh yeah, if you said it, it'll call you 100 times a row, 1,000 times a row, no fear.   Jason Hull (14:01) It's very persistent, yeah.   Well, you know,   that's super interesting because I saw a video recently from Alex Hermosy and I've worked with him. I've been in masterminds with him and he said that he, one of his partner companies that he invests in, they had a 400 % increase in their close rate just by hiring one person to call every new lead within 60 seconds of the lead coming in. 400 % increase in deals close. And I'm like,   Steve Trang ObjectionProof.ai (14:26) Mm-hm. Yeah. Right.   Jason Hull (14:31) That speed to lead is a significant thing. So I've been thinking about the same exact thing. I'm like, can connect Sinflow to HubSpot or can I do something to get some sort of phone agent to like call a new lead instantly? Because it's really difficult to get my team to do that. They might be in the middle of something. They might be making calls right then, you know? And so, yeah, 60 seconds.   Steve Trang ObjectionProof.ai (14:46) They're humans.   They can be at a sales appointment,   they can be in the bathroom, they can be in the car driving back from an appointment. Yeah, exactly.   Jason Hull (14:55) It can be late at night, like when the lead comes in, you know, and I don't know,   maybe somebody's filling out a lead form at one in the morning. I don't know if they'd answer the phone, but like call them and text them an email and maybe something happens. don't know.   Steve Trang ObjectionProof.ai (15:08) Exactly. Yeah, so that's the problem we seek to solve and I would say we did a pretty good job of it.   Jason Hull (15:14) Nice. Okay. Very cool. So yeah, super cool. So mean, this is the future and you know, I'm sure now because AI allows us to innovate with AI even faster, like it's, it's snowballing. Like it's just speeding up rapidly. It's like, now you can go to your AI and say, Hey, I want to figure out how to do this, solve this problem. And it's like, here's a bunch of ideas, which like   Steve Trang ObjectionProof.ai (15:25) Mm-hmm. Yes.   Mm-hmm.   Right.   Jason Hull (15:38) Evaluate these ideas which ones are the best ideas and it's like this one will give you the the biggest return, right? Yeah, so it's pretty wild. So I think I did in working on my book over the weekend in a day. I probably did what would have taken 90 days of research in it like It just months of research like   Steve Trang ObjectionProof.ai (15:57) Mm-hmm. Yeah.   Yeah,   the time compression is just absolutely outrageous. The amount of time AI can save you is just off the charts. I built out the tool. Now there's Ian Ross from an organization. He's the AI Whisperer. He's been training the AI boss for two years now. But I built everything around it. And if I were to try to do everything I did without AI, three years maybe to get it done, right?   to learn React and SuperBase and all this other stuff, right? To learn how to compress audio files and automatically. And it took me months to get a product. We have, we're looking at, have 130 clients now using our tool. And it's something that started less than six months ago. So yeah, AI is showing you how to use AI.   Jason Hull (16:43) Wow. Yeah.   Yeah, I mean, it's scratching a super strong   niche. Like if you go on Google Trends and put in AI and it like, just watch, it's like nothing and then it's just going crazy and it's surpassing everything right now. So let me share a quick word from our sponsor real quick for this episode. So our sponsor is Cover Pest. Cover Pest is the easy and seamless way to add on demand pest control for your resident benefit package.   Residents love the simplicity of submitting a service request and how affordable it is compared to traditional pest control options. Investors love knowing that their property is kept pest free and property managers love getting their time back and making more revenue per door. Simply put, Cover Pest is the easiest way to handle pest control issues at all of your properties. To learn more and to get special DoorGrow pricing, go to the website coverpest.com slash door grow.   All right, so Steve, let's get back into talking about AI. you know, you're focused on the sales side of things. What do you see as the future of what's gonna be happening with sales and what are your team working on developing next?   Steve Trang ObjectionProof.ai (17:57) I mean, the things we're working on next is just getting to the actual sales conversation where, you know, for someone that needs to their house for cash, right, which is our core audience, is how do we get it from beginning of a web form all the way into an actual transaction to actually get assigned a contract? That is going to be the next step. I think we can incorporate transaction management into it.   Right? The goal here is to get to a point where you basically have a handful of salespeople. One person that can handle the acquisitions, the buying of the houses. One person can handle the dispositions. And one person still to really talk to homeowners as scheduled appointments because the reality is AI doesn't replace everybody. AI just makes everybody better. As matter of fact, in half an hour from now, we're actually doing a training internally where our guy Ian, our AI whisperer,   is going to be teaching everyone in our organization prompt engineering. And the reason why that is, is that everyone needs to be using AI. Because if you're not, the amount of productivity everyone in organization, since we started using AI, is at least three times better, at least, if not more. And so every person that's not using AI is expensive now, because their amount of productivity is less than a third of what the other guy who is using AI.   Jason Hull (18:59) Right.   Right. So you could easily 3x the output if you just understand how you can leverage AI in some clever use cases.   Steve Trang ObjectionProof.ai (19:18) Exactly. Right. So if you look at that and then the reality is if I can get it down to just the best salespeople in my organization and AI everything else, everyone else that's not using it, their marketing costs, their overhead and everything else is just going to be more than mine to do the same amount of work, which in a very short period of time isn't that big a deal. But if I can reduce my overhead by 10 % compared to you and we're running the same business model.   Next month I have 10 % more to spend on marketing. And the month after that. And month after that. And my sales is only gonna grow. So we're gonna see a time where those that aren't on board are gonna find themselves unable to compete just because of margins alone. We had a, there's a colleague of mine, someone I look up to, I respect a lot. And we had a conversation where she let four people, she let go of four people earlier this year.   Jason Hull (19:50) Right. Yeah. And it compounds.   Right.   to compete, totally.   Steve Trang ObjectionProof.ai (20:13) Each person, six figure salary. So, she had to let go four people. And the reason why was that AI can do their job, right?   Jason Hull (20:24) Yeah, I six figure salary is saving like what half a million? Yeah.   Steve Trang ObjectionProof.ai (20:27) almost half a mil, right? And she's   like, and it sucks because she cares about these people. They've been with her as she built out the company, right? But right now her competition is some kid who lives at home with no expenses. She can't compete with that kid if she has all this expense on her payroll. It sucks. So everyone in our company is going to have to learn how to use AI to do their job more effectively, more efficiently. And so that's, so I would say on top of   Jason Hull (20:31) Yeah.   Steve Trang ObjectionProof.ai (20:54) the sales part is that everyone, everyone is getting looked at. There's a person in organization, I'm like, how are you getting so much done? Because she has stepped up and picked up three other people's in the last year. She picked up three other people's jobs. And then I talked to her last week, like, what are you doing? And she just showed me her chat GPT that's always open. That's it. She's just picking up other people's jobs because she's able to do it all day.   Excelled at using it and I think that's just that's just the future and this is not nothing new that people haven't heard before Really? What I would say is there should be a wake-up call if you're not listening as a matter of fact I had a really uncomfortable conversation last week Because I train acquisition managers, which is sales disposition managers, which is moving the properties Lead managers we were booking the appointments and then sales managers right how to manage sells people get the most out of them the lead manager call I was like, hey look   how many of you guys are paying attention to what I'm saying on social media? And like maybe 10%, 12 % raise their hands. I was like, okay, if you're not paying attention on what on social media, then this needs to be your wake up call. I have created an AA tool that is directly threatening your job. I am training you and I'm also creating a tool that might compete against you, that will probably compete against you. And so the reality is,   Jason Hull (22:08) or real life.   Steve Trang ObjectionProof.ai (22:13) A, it's awesome you're on this call, because you're training becoming one of the better ones across the country. And you have to have this mindset that I'm going to be irreplaceable. So you have to be the best, because this is what you're competing against. So I'm not here to say your job is at stake, but you should operate as if it is, because if you're not, you're going to get replaced. That was an uncomfortable conversation.   Jason Hull (22:30) Yeah, it was at least a year ago when AI was   starting to just sort of peak, you know, come up on everybody's radar. I gave my team, heard of, saw Alex Hormozi like give his team the task of like trying to replace themselves with AI. And so I said that to my team and several were so offended. They're like, you trying to replace us? I'm like, but that's reality. So I was like, try it. And I got some like.   of weak responses because they weren't really focused on it. But now I think everybody can see like this is coming and nobody thought that the most expensive jobs would be the first thing to be going. Lawyers, like doctors, like a lot of this a lot of the data, the research, the stuff that takes a lot of knowledge. It's hard to beat something that can pull in everything, you know, and and then really all these specialists that are so specialized in things, they're   Steve Trang ObjectionProof.ai (23:05) No, no one saw that coming.   Jason Hull (23:23) you know, AI is probably going to eat their lunch and then, you know, and then like really high level copywriting jobs, high level graphic design work, like all of this also. And so it really is becoming a future in which those that are the most creative in thought and how to leverage AI, the creators, and they're going to be AI creators that can leverage AI and know what tools.   are available and they're staying up on that. Those are going to be the ones that are the most valuable team members because they have access to infinite knowledge. Knowledge is no longer a super valuable resource. It's, and you can just get it. We've got the internet, there's tons of it out there, but the people that can figure out how do I isolate what knowledge is needed right now? How do I leverage AI to like figure it out? How do I, you know, then feed it into some sort of agentic system or create some sort of agent or some sort of chat or prompt or rule to like,   Steve Trang ObjectionProof.ai (24:00) Mm-hmm.   Jason Hull (24:19) you know, get the output that I need. These are the people that are going to, you know, be leading the way. And so it's really interesting.   Steve Trang ObjectionProof.ai (24:27) Yeah, the creators.   I've been looking at it. we've been using Working Genius internally as well as for hiring. So if you guys that are listening aren't familiar with it, it's created by Patrick Lancioni who wrote like, what is it? ⁓ Amazing books. was, shoot. Anyway, Patrick Lancioni is an amazing, amazing author, wrote some amazing books.   Jason Hull (24:41) He's written a bunch of good books.   That's that from right here.   I've got, where are they? Let's see.   Oh, he wrote The Motive, Getting Naked, The Ideal Team Player, Five Dysfunctions of a Team, Death by Meeting. Yeah, he's got some great books.   Steve Trang ObjectionProof.ai (24:50) The advantage is one of them, but there's like...   by this function as a team, yeah.   Yeah, FIDAS   function seems huge, huge one, right? So he wrote working genius. And working genius breaks down to six letters, right? Widget, which is coincidental, I suppose. So what it stands for is wondering, inventor, galvanizer, discerning, enabler, and tenacity. And so most people are two of them as an energy.   It gives you energy, two of them are like it drains you, right? So like I don't like doing work. So T and E is just that for me, right? But I do like to invent and I like to discern. And then Ian likes to invent and likes to galvanize. But the key here is we're both inventors according to Working Genius. And I think right now in this world with AI, it's going to be the people that have the W, the wondering, the inventiveness. I think those are the two they're going to do the most.   Jason Hull (25:30) you   Steve Trang ObjectionProof.ai (25:49) the most well in this new world because we can automate a lot of other things. We can automate the mundane tasks. That's what the agents are for. So it'll be interesting. AI can discern to some degree. It can't galvanize. So we still need someone to lead the charge and get everyone to storm the.   Jason Hull (26:00) Mm.   Thank   Steve Trang ObjectionProof.ai (26:13) stormed enemy territory. But yeah, I think to your point, the creators, I look at it as everyone that's got the wondering and inventiveness is gonna do really well on this new AI world.   Jason Hull (26:25) Okay, yeah. Those things sound fun to me. That sounds like way more fun to be spending my time on doing those kind of things than most anything else you do in business. And I love that you said, you know, figuring out which things are kind of your, give you energy or take away your energy. So one of the things we have our clients do is we give them a time study that we've created that.   Steve Trang ObjectionProof.ai (26:32) Yeah.   Mm-hmm.   Jason Hull (26:49) They do a time study for like two weeks and they track which things are plus signs or which things are minus signs. Just to figure out, because the easiest way I can get them towards more output or towards more joy or more fulfillment in their business or more freedom or offloading the right stuff is just to figure out which things are their minus signs and which things are tactical so we can get those off their plates so they're focused more on the strategic things and the plus signs, which usually are connected. So for entrepreneurs, yeah.   Steve Trang ObjectionProof.ai (26:54) Huge.   Mm-hmm.   Jason Hull (27:17) And so, yeah, I think that's going to be the powerful thing is that if people can become conscious of the things that are draining them, then you can just ask the question. You can go ask AI the question, how do I get rid of this? How do get this off my plate? Give me some really good ideas. Yeah. And so we've got this magical thing that it's like we've got the magic genie of answers that can just give us any answer to anything at any time. But you have to ask good questions.   Steve Trang ObjectionProof.ai (27:30) All right. It really is that simple these days.   You have to ask good questions, and then the thing that you have to make sure, and I don't know how to do this, is to make sure you don't give up your critical thinking abilities. I think that that muscle is going to atrophy pretty fast in this new world. The ability to actually ask good questions and then filter, is that actually a good answer? Does that make sense? Or are we just accepting the answers? Because you can see, if you just accept things, if you just accept data without questioning it,   Jason Hull (27:56) Mm.   Yeah, it'd be pretty destructive.   Steve Trang ObjectionProof.ai (28:08) you're going to atrophy pretty fast, I think, of your critical thinking skills.   Jason Hull (28:11) Yeah. And that's where you hear the horror stories of AI, like people killing themselves because AI told them to, know, stuff like this, where they're just like, they think AI is like, becomes some sort of superpower when it's really just reflecting them. Yeah. It's just reflecting them and their, you know, psychoses, I guess. So I think, yeah, you know, I've noticed that, yeah, sometimes chat GPT, for example, can be very agreeable.   Steve Trang ObjectionProof.ai (28:17) Yeah.   It's not all knowing all powerful, it just appears that way.   Yeah, sad.   Jason Hull (28:36) It's like, that's brilliant. You're the best. Like it's giving you compliments. like, yeah. You know, but the reality is, yeah, you have to ask it to challenge you. And you have to like say, what are the flaws in this or what evaluate or, and so I'll have the one AI tool evaluate what another AI tool gives me. I'll say, which of these ideas should I actually do to my offer document or what should I change or what should I improve and which things are not a good idea?   And it rates them for me. Like Claude will be like, this is like, these are the ones you should do. These ones maybe, and these ones definitely don't. I would recommend these. And I'm like, cool, do that. Right? And so, yeah. And so I think we have to, we have to have a brain that's creative enough to see the potential problems and to ask the right questions and to challenge things. because yeah, otherwise you may just   be led down a rabbit hole of your own self-reflection, that's a blind spot.   Steve Trang ObjectionProof.ai (29:37) Mm-hmm. It's the same dangers we see with TikTok. It just sends you down the wrong rabbit holes.   Jason Hull (29:43) Right. Because the algorithm is just giving you more of what you look at. you're like, man, I'm really, it's like, you know, that prurient interest where you just can't stop looking at the car crashes that are driving, you know, driving by. then the algorithm's like, cool, they want to see more car crashes. And you're like, wait, why is this awful? Yeah. So yeah, that's, that's, that's the difference between AI and real life. so, you talk about creating a self-managing sales team.   What the self-managing sales team because having managing a sales team is pain in the ass.   Steve Trang ObjectionProof.ai (30:16) Yeah, so the self-managing sales team, we're using AI to power it. So it still requires a person to actually care about the other salespeople, right? So the big thing is like, what are you meeting with them? Are you finding out what's important to them? What is their big, hairy, audacious goal, right? So that's the first and foremost. We've got to figure out what their big, hairy, audacious goals are. Then we've got to quantify it. How much money do you actually need to make to accomplish that, right? And then we reverse the math, which isn't new, but   Jason Hull (30:17) They can't.   Mm-hmm.   Steve Trang ObjectionProof.ai (30:46) The newer wrinkle here is like we got to tie it to the big hair audacious goal. And then we'd look at, right, how many transactions do you need to close? Okay. And then if we need to close as many transactions in the year, then in real estate, how many contracts do we need to go under in order to have that many closings? Right? Because unfortunately it's not a one-to-one. So then how many contracts we have, then how many appointments do we need to run per week to hit that many?   Jason Hull (30:54) Hmm.   Steve Trang ObjectionProof.ai (31:15) closings per month. And then we work into how many conversations do we need to have per week to have that many appointments per week. And then in order to have, then we figure out how many conversations we need to have per day. And we back it all the way up, right? And then.   Jason Hull (31:30) So conversations   to appointments to contracts to transactions to hit the B-Hack. Okay, right.   Steve Trang ObjectionProof.ai (31:36) Yeah, yes.   It has to work that way. And the sales manager or business owner needs to care about their people to actually care about those goals. Because if you don't care about those goals alongside of them, none of this matters. You got to care about your salespeople, But once they care about our salespeople, now we can use AI to track and hold them accountable to their metrics. And so one of the things that we have is if anyone's off, we can report this.   And you can do this with VA's and systems and this and that. The things that we've added recently with AI is that in our organization, after every single sales call, AI does a call review. And after it does a call review, it pushes it into Google Chat. So we use Google Chat, you can use Slack, you can use Teams, but we use Google Chat. It pushes into Google Chat where all the salespeople are in. And so it says, hey, Steve on this call got a 51 out of 100.   Everyone can see it. There's no hiding. Yeah, and so then after it gives me that review, it gives me the score, it gives me all the reasons why, I need to, as a salesperson, go in there and comment on it. I agree with this, I disagree with this, here's my takeaway from it, here's what I'm gonna work on. So, that's a super tight feedback loop. Now, instead of a call review that happens maybe once a week, or maybe once a month, or never,   Jason Hull (32:33) Yeah,   Right. Yeah.   Steve Trang ObjectionProof.ai (32:58) our sales guys are being coached in the moment where they're at in real time. Right? So they're self-managed because they have to go and respond to it. And here's the other thing too, like marketing has always been, or marketing should be accountable. you run your business right, we should know, hey, we spent our X dollars on this. How many leads did we get? How many contracts did we get? What was the revenue that came from this lead source for this marketing channel? What is the return on investment or return on ad spend?   Jason Hull (33:03) Yeah, that's great.   Steve Trang ObjectionProof.ai (33:25) We can be pretty good with marketing if we care. Accounting, it's really easy to tell when accounting is screwed up. It didn't zero out. Pretty easy to, you know, black and white accounting. Sales has always been leads went in and there's this black box and then contracts came out. We've eliminated that black box, right? Everyone's accountable to everyone else. So if you're in there,   Jason Hull (33:50) Yeah.   Steve Trang ObjectionProof.ai (33:51) And you can see, like you're putting up 50s over and over again out of 100, either you're going to self-select out or you're going to get better. But there's nowhere safe to hide in our sales company anymore. And that's how we created a self-managing sales team. Everyone can hold everyone else accountable. Jason can call Steve out, Steve can call Jason out. Right? So that's how we've had that. And then on top of that, our AI tool also has trends. So we can say like, hey, in the last seven days, here's where Jason's really struggling. Coach him on this. Or in the last 30 days, right? So we have one guy.   His struggle consistently is isolating the real objection. That's one of our guys. The other guy, his challenge consistently is not letting a difficult statement just sit there and just ruminate for like five seconds. We'll all agree, yeah, we gotta let it sit there. So those are two different cells, guys, we have two different challenges, but I know that because   Jason Hull (34:36) Right, he jumps in and has to solve it too quick.   Right.   Steve Trang ObjectionProof.ai (34:47) every single call is being reviewed. And that's how we build our self-managed Excel team.   Jason Hull (34:51) Wow, yeah, it's really cool. I love the idea of, normally in the past, historically, I wasn't really a big fan of BHAGs, like big hairy audacious goals, because it was unrealistic, I thought. But I recently was in Mexico and I was hanging out with Ben Hardy. And he wrote this amazing new book called The Science of Scaling. And he talks about the importance of having impossible goals. And unless the goal is impossible, because he says if a goal is realistic,   Steve Trang ObjectionProof.ai (35:13) Mm-hmm.   Jason Hull (35:17) then that means basically you're operating on your current limited level of thinking and your brain has nothing to work on. And as good as AI is, our brain really is like a quantum computer. It's like this masterful supercomputer that can create whole worlds. Our unconscious mind can do amazing things in the background. But unless we give our brain impossible goals to achieve, our brain doesn't even work to formulate new paths or new ways of thinking. It gets us out of our current prison of thinking. And so   Steve Trang ObjectionProof.ai (35:24) Nothing to strive for.   Jason Hull (35:45) This is where I think having really big impossible goals gives you a completely different path than a linear realistic goal. so, you know, I think what I've noticed with AI, and you can test this with AI, like just say, if I want to get from zero to a thousand Instagram followers in a year, what would be my path? And it's gonna give you a pretty predictable linear path. But if you say, how do I get to a million followers in a month, for example?   super impossible, how could that be possible? You're gonna get a completely different path, right? And so the path, you know, having better goals or unrealistic or impossible goals allows your brain in the background to come up with new ideas. So I came back from Mexico, I was like, how could it close 100 deals in a month instead of 10? It's impossible. How could I do that? And I figured it out. It took me a week and a half, my brain just figured it out. I'm like, I have to...   Steve Trang ObjectionProof.ai (36:18) True. Yeah.   Jason Hull (36:43) cancel 60 to 70 % of my calls. Anyone like doesn't confirm I have to get them off my plate. I have to have my setters feed them through a different funnel. And so we have a slow lane, middle lane, and I'm fast lane. I would have to, so we re-engineered our entire sales process and I did it in like a day. I did it in a day, maybe two. And I rebuilt everything because I had to create a completely different path in how we were doing it. Cause my current thinking,   well, my previous level of thinking realistic in order to get my company to be at X millions of dollars, you know, bigger than it is now. I was like, I'm going to have to hire like, it was a linear path. I'm like, I'm doing X. I'm going to have to hire 10 closers, 30 setters. And like it was, yeah. And I'm going to have to build this team. And I didn't even want to do it because that sounded so uncomfortable. And now we closed just about as many deals last month as we did the month before, but   Steve Trang ObjectionProof.ai (37:27) Yeah.   Jason Hull (37:39) our sales calls, at least for me, were like a tiny, tiny fraction because we had made the process so much more efficient because without really, you know, impossible goals, we optimize for the wrong things. And I was optimizing for just increasing this linear difficult path instead of looking at how could I eliminate 90 % of the calls and still have the same close rate? That's a completely different path, right?   Steve Trang ObjectionProof.ai (37:45) Yeah.   Yeah, well, I think you're asking your previous questions with the brand you had, right? And so we need to ask different questions with a different, with, yeah.   Jason Hull (38:12) length, which was a brain that was focused on reality. And reality kept   me stuck in the same place for years. And so now I see a path where we can get much larger, much quicker, but it's because I changed my brain's focus into the playground of impossible goals instead of looking at realistic goals, which usually are just a punishment tool that we measure ourselves by.   Steve Trang ObjectionProof.ai (38:34) And it's uninspiring.   We're not getting out of bed for realistic goals. And also, in sales, like,   We get punched in the mouth all day every day. Why would you not want to build your dream life? If we're going to do the difficult things, it should be incredibly rewarding.   Jason Hull (38:44) Ahem.   Yeah. Yeah, we get a lot of people coming into the property management industry from the real estate industry, because they're tired of the hunt and chase of deals and getting punched in the mouth. They're like, how do I build a residual income subscription model business that scales and grows, that's systemizable and do that. But a lot of our clients have a brokerage and they have property management, like most of them. They do both. But the   And once the property management business is healthy, it feeds them plenty of real estate deals because investors are always doing deals.   Steve Trang ObjectionProof.ai (39:23) Right. Yeah.   Jason Hull (39:24) So anyway, I know, Steve, maybe we should hang out later and come up with some cool ideas together. But yeah, this is really fun stuff to chat about. you know, this probably we could talk about AI probably all day. It's like a big focus of mine right now as well. I'm just super geeking out on it. What, you know, what maybe   Steve Trang ObjectionProof.ai (39:30) Absolutely, I'm game for it.   Yeah, I bet.   Jason Hull (39:47) Big takeaway, would you like everybody to get from listening to this podcast episode and then how could people, who are you looking for to connect with objection proof? And, cause I'm sure some of my audience are your audience as well. And, and how can they get in touch with you?   Steve Trang ObjectionProof.ai (40:03) Yeah, so I think the big takeaway, I mean, we already beaten it quite a bit, but I just want to really emphasize, this is a pivotal moment in time. This is like the dot com era, right? This is like when things started getting online. There are going be a handful of people that are going to make a stupid amount of money in this period of time. And so the same question I always ask is, why not you? Right?   Jason Hull (40:25) Yeah.   Steve Trang ObjectionProof.ai (40:26) So like if you're afraid just start because the reality is like AI will coach you on how to use AI. So just start. I'll say that and then you know the if someone wants to check out what we do I have a URL objectionproof.ai you can upload any sales call through text. It's gonna be a text file. It can be transcription. It can be WAV, M4A, MP3, whatever you can upload it. There's no charge you can use as many times you want. My team hates when I say that but   You upload it for free and it will evaluate your sales call, will email you the results. That's a free tool we have. Also, if anyone wanted to role play with our boss, you can text roleplay, that's one word, to the phone number 33777. And if anyone wants to check out our lead manager, you can text AI space caller, AI caller, to the same number 33777. Again, both of those are free. We're not charging anything for those.   It really is just a demonstration. All three are real demonstration of our actual product in action. And then we give that for free. Now you are going to have to talk to someone on my team. But you'll hear what our salespeople sound like as well. Or you can just ignore it. Either way is fine. But if nothing else, just check it out because you can see the direction we're heading. look, I've heard people say this over and over again. I always kind of like roll my eyes when they say it. But it's still true.   Jason Hull (41:34) Yeah.   Steve Trang ObjectionProof.ai (41:47) The version of AI today is the worst version you'll ever deal with. Because it's only getting better.   Jason Hull (41:51) Yeah.   Yeah, and it's crazy. It's really insane how quick things are changing. It's just speeding up faster and faster. So, all right, well, Steve, great having you on the show. Appreciate you hanging out with me. Those of you watching, if you are a property management business owner, you've ever felt stuck or stagnant, you want to take your property management business to the next level, reach out to us at doorgrow.com. We can help.   Also join our free Facebook community just for property management business owners at doorgrowclub.com. And if you found this even a little bit helpful, don't forget to subscribe and leave us a review. We'd really appreciate it. And until next time, remember the slowest path to growth is to do it alone. So let's grow together and guess with AI. Bye everyone.

Imagine if the Industrial Revolution took place over 10 years instead of 100. Imagine if most human labour was about to become redundant. Imagine if machines transformed our economy, our society, our politics. You'd think politicians would be talking about it, making policies to manage it - leading a critical national conversation, perhaps even raising the alarm. Well you don't need to imagine it. It's already happening. And our politicians are, almost entirely, silent. In this special report, Lewis sees firsthand the almost unbelievable changes already afoot on America's west coast, at the pioneering forefront of the AI revolution. If AI is about to overtake our politics, why aren't our leaders talking - or even thinking - about it?The News Agents is brought to you by HSBC UK - https://www.hsbc.co.uk/EXCLUSIVE NordVPN Deal -> https://nordvpn.com/thenewsagents Try it risk-free now with a 30-day money-back guarantee

Join me live as I sit down with Derek Yan, Director at KraneShares, to explore how the AGIX ETF is reshaping AI investing by giving everyday investors exposure to private AI unicorns like Anthropic and xAI—companies powering the foundation models behind the next wave of enterprise AI.In this expert-led discussion, Derek explains how AGIX combines public equities with late-stage private companies, the proprietary AI scoring system that drives stock selection, and why model companies are the epicenter of the AI value chain. We also cover AGIX's performance to date, its dynamic quarterly rebalancing, and how it navigates valuation concerns in a fast-moving market.In this webinar:How AGIX gives investors rare access to private AI leaders like Anthropic and xAIWhy foundational model companies could capture the lion's share of AI valueHow the AI Score framework identifies true innovators vs. “AI pretenders”Why enterprise AI could outgrow consumer AI in scale and profitabilityHow hybrid ETFs unlock private market access with daily liquidityLead-Lag Live Webinars give you exclusive access to deep-dive conversations with industry experts, portfolio managers, and strategists. Subscribe now to gain the insights you need to make smarter, more informed investment decisions.#AIinvesting #AGIX #AIETF #privateAI #LeadLagLiveStart your adventure with TableTalk Friday: A D&D Podcast at the link below or wherever you get your podcasts!Youtube: https://youtube.com/playlist?list=PLgB6B-mAeWlPM9KzGJ2O4cU0-m5lO0lkr&si=W_-jLsiREjyAIgEsSpotify: https://open.spotify.com/show/75YJ921WGQqUtwxRT71UQB?si=4R6kaAYOTtO2V Sign up to The Lead-Lag Report on Substack and get 30% off the annual subscription today by visiting http://theleadlag.report/leadlaglive. Foodies unite…with HowUdish!It's social media with a secret sauce: FOOD! The world's first network for food enthusiasts. HowUdish connects foodies across the world!Share kitchen tips and recipe hacks. Discover hidden gem food joints and street food. Find foodies like you, connect, chat and organize meet-ups!HowUdish makes it simple to connect through food anywhere in the world.So, how do YOU dish? Download HowUdish on the Apple App Store today:

Artificial intelligence could fuel Alberta's next big tech boom. Three leaders in the field—Cam Linke, CEO of Amii; Nicole Janssen, co-founder of AltaML; and Danielle Gifford, managing director of AI with PwC—dig into how AI is transforming everything from energy to healthcare and even space. They share why Edmonton is a world leader in reinforcement learning, and why Alberta's natural advantages could make it a global hub for data centres and AI commercialization.    This podcast is generously supported by Don Archibald. The Hub thanks him for his ongoing support.   The Hub is Canada's fastest-growing independent digital news outlet. Subscribe to our YouTube channel to get our latest videos: https://www.youtube.com/@TheHubCanada Subscribe to The Hub's podcast feed to get our best content when you are on the go: https://tinyurl.com/3a7zpd7e (Apple)  https://tinyurl.com/y8akmfn7 (Spotify)   Want more Hub? Get a FREE 3-month trial membership on us: https://thehub.ca/free-trial/ Follow The Hub on X: https://x.com/thehubcanada?lang=en   CREDITS: Falice Chin - Producer and Editor  Ryan Hastman - Host Amal Attar-Guzman - Sound and Video Assistant   To contact us, sign up for updates, and access transcripts email support@thehub.ca

What if AI could solve the most frustrating problem in business today? In this podcast hosted by iDonate VP of Product and Engineering Nacho Andrade, Intercom CPO Paul Adams reveals how his company made a radical pivot that could redefine how businesses interact with customers. He shares the inside story of building Fin, an AI agent that's solving customer service challenges most companies can't even imagine, and offers a blueprint for surviving the AI revolution.

In this episode of Digitally Curious, Andrew Grill speaks with Trevor Davis, renowned futurist and pioneer in big data, AI, and digital transformation about the evolving intersection of artificial intelligence and the creative industries. Trevor shares insights drawn from decades of experience at the cutting edge, delving into the opportunities, challenges, and ethical dilemmas facing creative professionals in the age of “Createch.”Key TopicsTrevor's Journey: From material science, through leadership at IBM, to independent AI consultancy focused on creative industries.Defining Createch: Understanding where creativity meets technology, and how createch businesses differ from traditional creative firms.Industry 4.0 in Creativity: The impact of generative AI, digital twins, extended/virtual reality, blockchain, and 3D printing on artistic and commercial creative fields.Generative AI in Practice:How tools like ChatGPT, OpenAI Sora, and others are transforming animation, content creation, and writing.Tensions between democratisation of content and the diminishing role of creative gatekeepers.Sustainability & AI:Why most createch startups lack sustainability policies, and the significant environmental costs of digital production and AI.The growing need for responsible energy, water, and e-waste management in creative tech supply chains.Ethics & IP in Creative AI:Core dilemmas surrounding data usage, IP, and copyright in AI tools trained on creative works.The legal grey zones and the role of large publishers versus individual artists in rights advocacy.AI's Role in Growth:Predictions for the UK creative sector to reach £300 billion by 2030, with AI and createch as catalysts.The shifting dynamics between brands and agencies as clients use generative tools for early-stage concept work.Agentic AI & The Future of Advertising:The emerging paradigm where AI agents transact and consume advertising—what it means for brands, agencies, and human creativity.Upskilling & Mindset:Why creative professionals must proactively adopt and experiment with AI tools—or risk obsolescence.Three actionable steps for creatives: deepen tool usage, stay informed via industry and technical sources, and build simple agents for hands-on learning.Quick Fire RoundFavourite travel seat: aisleAI wish: automate laundryMost-used app: Things (for daily and long-term planning)Book recommendation: “Helm” by Sarah HallActionable tip: Don't fear AI—explore, experiment, and keep learning.Resources MentionedGuest website: curiousdemon.comConnect: Trevor Davis on LinkedInThanks for listening to Digitally Curious. You can buy the book that showcases these episodes at curious.click/orderYour Host is Actionable Futurist® Andrew GrillFor more on Andrew - what he speaks about and recent talks, please visit ActionableFuturist.com Andrew's Social ChannelsAndrew on LinkedIn@AndrewGrill on Twitter @Andrew.Grill on InstagramKeynote speeches hereOrder Digitally Curious

Welcome to "AI Lawyer Talking Tech," where we explore the dynamic intersection of artificial intelligence and the legal profession. Today, we delve into a transformative period often described as AI's "second act," marked by profound changes in how legal services are delivered and managed. We are witnessing a surge in innovation, from the emergence of open standards like the Model Context Protocol (MCP) by Anthropic, designed to securely integrate AI into platforms such as iManage, accelerating deployment and enhancing user trust, to groundbreaking academic initiatives like Stanford Law School's liftlab, fostering advanced AI tools and "Legal Personas" to train attorneys and improve access to justice. The industry is moving towards multimodal and screenless AI, with wearable devices capturing crucial data to augment human capabilities and institutional knowledge. This era promises significant benefits, including enhanced operational efficiency, improved risk management, and superior client service, freeing legal professionals for more strategic work. However, this rapid advancement also presents critical imperatives: addressing complexities around data security, confidentiality, and attorney-client privilege, combating inherent biases, and operating within a rapidly evolving patchwork of global regulations, all while maintaining essential human oversight and ethical standards. Join us as we unpack these developments and discuss how legal professionals are adapting to empower better work and deliver elevated client experiences in a rapidly changing world.The future of open, secure AI integration in legal tech: How Model Context Protocol (MCP) opens AI's second act2025-09-15 | IManage.comVorys Joins Stanford Law School's Innovative AI Research Program as a Founding Advisory Firm2025-09-15 | Vorys, Sater, Seymour and Pease LLPCleary Gottlieb Partners with Stanford to Transform Legal Tech2025-09-15 | InvestorsHangout.comData-Driven Law Firm Resource Allocation: An Idea Whose Time Has Come2025-09-15 | Above The LawAI-FOMO in Legal Ops: What Now?2025-09-15 | Elevate ServicesGrowing impact of artificial intelligence under the lens at the industry legal conference2025-09-15 | OGUKStanford Law Unveils liftlab, a Groundbreaking AI Initiative Focused on the Legal Profession's Future2025-09-15 | Stanford Law SchoolHogan Lovells Living Mobility Spotlight Q&A series (UPDATED)2025-09-15 | JD SupraSingle-Modal AI Is the New Fax Machine: Technically Functional, Practically Obsolete2025-09-15 | JD SupraAI Governance Starts With Contract Governance, Says Christine Uri2025-09-15 | Above The LawSponsored Content: Objection, Overruled: Why AI Belongs in Your Law Firm2025-09-15 | Texas Bar BlogSoftware Development Service Expands LLM Capabilities with Custom Open Source LLM Development for Enterprise2025-09-15 | AiThority.comWhich Jobs Are Most At Risk From The Next Generation Of AI?2025-09-15 | Forbes.comAI Is Empowering How Transactional Lawyers Practice2025-09-15 | Articles, Tips and Tech for Law Firms and LawyersDeloitte + Legora interview: Why they say 1 + 1 = the next wave of transformation2025-09-15 | Legal Technology InsiderAre We Approaching Peak Big Law?2025-09-15 | Artificial LawyerBeyond the Black Box: Architecting Explainable AI for the Structured Logic of Law2025-09-15 | MarkTechPostILTA Releases 2025 Legal Technology Survey Results: A Definitive Look at the Future of Legal Tech2025-09-15 | Legal Technology News - Legal IT Professionals | Everything legal technologyGenerative AI: Managing Cybersecurity and Privacy Risks in Your Practice2025-09-15 | Legal Marketing & Technology BlogProtecting Privilege in Incident Response: Litigation Lessons2025-09-15 | Debevoise Data BlogManaging Legal Risks in M&A Transactions with Targets Using Artificial Intelligence (AI)2025-09-15 | Squire Patton BoggsBusinesses Should Upgrade Privacy Compliance Programs for New State Laws in 20252025-09-15 | Venable LLP

In this episode, Paul is joined by Andrea White, Independent Fire Engineer, Chartered Safety Professional, and one of the Top 100 Most Influential Women in Construction (2023). Andrea is also the founder of Women Talking Fire and a leading voice on fire safety strategy in a post-Grenfell landscape.Together, Paul and Andrea unpack the critical implications of the Building Safety Act for quantity surveyors and procurement professionals.

Most founders obsess over products. Jensen Huang built a $3 trillion company by obsessing over inevitabilities. This episode unpacks The NVIDIA Way by Tae Kim—the definitive account of how NVIDIA went from near-death startup to the world's most valuable chipmaker. More than a history, it's a manual for founders and VCs navigating the messy, high-stakes stretch between Series A and IPO. But this isn't just about NVIDIA. It's about you—if you're scaling in deep tech, where survival depends less on genius inventions and more on how you engineer resilience, culture, and urgency into your system. I walk you through 7 scaling lessons that matter now—from why pain is a founder's greatest teacher to how vision and culture become moats no competitor can copy. Each principle is grounded in NVIDIA's story, translated into today's market reality, and wrapped with coaching prompts you can act on this week. Key Takeaways: Pain Builds Resilience: Intelligence helps, but scars compound faster.Reputation Is Currency: Your first product isn't a chip or an app—it's trust.Defy the Innovator's Dilemma: Don't chase quarters—build inevitabilities.Lead with Context: Replace bottlenecks with clarity and extreme ownership.Sell the Vision: Markets follow narratives, not features.Culture Outruns Capital: Execution habits compound longer than cash.Urgency Wins: Complacency kills more companies than competition.Timestamps: (00:00) Why This Episode Matters (02:18) The Big Idea of The NVIDIA Way by Tae Kim (04:36) Who is Tae Kim? (08:15) Lesson #1: Pain and Suffering Are the Recipe for Greatness (12:35) Lesson #2: Your Reputation Is Your Currency (17:05) Lesson #3: The Innovator's Dilemma Will Come for You (21:45) Lesson #4: Lead With Context, Not Control (25:18) Lesson #5: Don't Just Sell the Product—Sell the Vision (30:00) Lesson #6: Culture Outruns Capital—and the Competition (34:32) Lesson #7: Build Urgency Into the System (38:30) Key Takeaways—3x Reading + 25 Years in Public Markets, VC, and Scaling Deep Tech (41:24) Reflection Why Listen:Learn how NVIDIA survived near-death and built inevitabilities that defined AI.Get 7 leadership and culture principles designed for Series A–IPO scale-ups.See how to evaluate companies not by products, but by the systems that endure.Upgrade your founder or investor lens with actionable coaching questions.Found this valuable? Like, share, and follow. Every signal grows the show—and helps bring you more playbooks from the world's most resilient companies.  

Why are investors so bearish as the markets hit new all-time highs?  We take a look at the possible next shift in the AI Revolution, and which stocks could benefit.  We review the latest purchases by disruptive growth manager, Cathie Wood.  We share Barron's Magazine top picks for 5% dividend paying stocks right now.

The arrival of non-human intelligence is a very big deal, says former Google CEO and chairman Eric Schmidt. In a wide-ranging interview with technologist Bilawal Sidhu, Schmidt makes the case that AI is wildly underhyped, as near-constant breakthroughs give rise to systems capable of doing even the most complex tasks on their own. He explores the staggering opportunities, sobering challenges and urgent risks of AI, showing why everyone will need to engage with this technology in order to remain relevant. After the talk, Sherrell For a chance to give your own TED Talk, fill out the Idea Search Application: ted.com/ideasearch.Interested in learning more about upcoming TED events? Follow these links:TEDNext: ted.com/futureyouTEDAI Vienna: ted.com/ai-viennaTEDAI San Francisco: ted.com/ai-sf Hosted on Acast. See acast.com/privacy for more information.

SaaStr 819: Swapping Notes on the AI Revolution in Marketing with G2's CMO Sydney Sloan Welcome to Swapping Notes, a new SaaStr podcast series where we cut through the AI hype and get real about who's doing what with AI in B2B.  Amelia LeRutte, Chief AI Officer at SaaStr, and co-host Guillaume Cabane, Co-Founder and General Partner at HyperGrowth Partners, sit down with AI leaders from the companies to share notes and stories on what's working in AI.  In this episode, we swap notes with G2's CMO, Sydney Sloan. Together, we deep dive into the evolving role of AI in marketing and buyer behavior. We explore how AI is reshaping the buying process, the significance of brand trust, and the future of web experiences. The episode also covers the importance of AI orchestration roles and practical advice for founders and CMOs to adapt to the rapid advancements in AI tools and strategies. Tune in to discover insights on how to effectively integrate AI into your marketing efforts and stay ahead in the dynamic landscape. ---------------------   Fin is the #1 AI Agent for resolving complex queries like refunds, transaction disputes, and technical troubleshooting—all with speed and reliability. See how Fin can deliver the highest resolution rates and highest-quality customer experience at fin.ai/saastr. --------------------- If you're serious about B2B and AI, you need to be in London this December 2nd and 3rd.   SaaStr AI London is bringing together more than 2,000 leaders and founders for two days of practical advice on scaling into the new year.    We'll have speakers flying in from OpenAI, Wiz, Clay, Intercom, and all your favorite SaaS companies, including yours truly with Harry Stebbings for a live 20VC podcast. It'll be fun, and it's all in the heart of London.    Don't miss out: get your tickets with my exclusive discount by going to podcast.saastrlondon.com   ---------------------   Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.    With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.     But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.    Lock in your spot today by going to podcast podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

Joe Stephens operates at the intersection of cutting-edge technology and traditional legal practice. As both a trial consultant and public defender, he helps lawyers harness AI to transform their litigation strategies and case preparation. Joe discusses how he guides other attorneys through AI integration, from analyzing mountains of depositions to crafting more effective motions. In his own public defender work, Joe has implemented AI tools to efficiently process vast amounts of digital discovery and pinpoint crucial moments in hours of police camera footage, allowing him to provide more thorough representation to indigent clients with limited resources. Joe Stephens is a graduate of the University of Texas School of Law.This episode is hosted by Katya Valasek.Mentioned in this episode:Learn more about Vermont LawLearn more about Rutgers LawAccess LawHub today!Learn more about Rutgers Law

Dean Foreman, Chief Economist, Texas Oil & Gas Association joined Grayson Brulte on The Road to Autonomy podcast to discuss how record-breaking global energy demand and Texas's energy dominance are reshaping markets amid the AI revolution and shifting geopolitical dynamics. With the Energy Information Administration (EIA) projecting consecutive oil demand records of 103.7 million barrels per day in 2025 and 104.9 million barrels per day in 2026, Texas has emerged as the undisputed energy powerhouse, now producing 42% of US oil and 30% of US natural gas while generating $27.3 billion in state tax revenue and supporting over 1.3 million jobs.The Permian Basin continues to demonstrate remarkable productivity gains, delivering 20% more output using 40% fewer rigs compared to 2018-2019 levels through advanced data analytics and re-fracking technologies. This efficiency revolution has enabled Texas to account for 80% of US oil growth year-to-date while natural gas demand reaches record highs of 148.7 trillion cubic feet globally. Despite economic headwinds including record $18.4 trillion household debt and softening labor indicators, energy markets continue to show resilience with diesel demand up 4% and jet fuel climbing 5% year-over-year, reflecting continued industrial activity and travel recovery.Natural gas is rapidly becoming the critical infrastructure powering AI data centers and the digital economy, with hyperscalers increasingly turning to co-located natural gas generation for reliable 24/7 electricity. As geopolitical tensions create new energy partnerships between Russia and China through proposed pipelines capable of 5 billion cubic feet per day, and Europe relies on up to 75% of Texas LNG exports during peak periods, traditional energy resources prove foundational not just to current economic prosperity but to the future of automation, artificial intelligence, and global technological advancement.Episode Chapters0:00 Weakening U.S. Dollar & Interest Rates2:21 Growing Household Debt4:20 Emerging Markets & Supply Chains5:27 Growing Natural Gas Demand12:49 Growing Global Oil Demand16:51 Potential Weakening U.S. Economy18:33 Global Oil Supply21:27 China24:49 Europe29:55 Permian Basin 32:58 ADS Business Conditions Index34:33 Tech's Impact on Oil & Natural Gas Industry36:03 Texas Oil & Natural Gas Industry's Economic Impact 37:52 Next QuarterRecorded on Thursday, September 4, 2025--------About The Road to AutonomyThe Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Is AI destined to replace us, or can it unlock unprecedented human potential? Helen and Dave Edwards join Lukas Egger to explore the emotional, cognitive, and cultural shifts that AI is ushering in. They challenge the narrow focus on productivity, urging us to consider AI's broader impact on our lives and organizations. Discover how AI can be a powerful force for innovation, creativity, and meaning-making, but only if we prioritize human dignity and cultivate symbiotic relationships between humans and machines. This conversation is a must-listen for anyone seeking to navigate the AI revolution with purpose and vision.

Top 5 Topics:- CareNotes AI App: Leading the AI Revolution in Dentistry – How artificial intelligence is transforming clinical notes, efficiency, and patient care.- Burnout & Passion – Why dentists and doctors burn out, and how obsession with innovation reignites purpose.- The Future of Healthcare – Building doctor-led networks, community buying power, and the dream of a fair insurance model.- Insurance Secrets Exposed – How dental insurance hasn't changed since the 1970s and why patients are losing out.Quotes & Wisdom:“I get energy from winning over phobic patients—appointment by appointment.” — Billy — 31:19“Our mission with CareNotes AI App: give time and energy back to providers so patients get better care.” — Billy — 50:34“We built CareNotes to run locally for privacy and to keep it free—no data bouncing to the cloud.” — Billy — 08:24“Leadership in a practice is a skill—you're the leader the moment you enter the room.” — Billy — 1:11:07“Wake up before the world. Two quiet hours changed my career.” — Billy — 38:23“AI should solve the boring, repetitive stuff so we can focus on the people.” — Billy — 1:06:02“Great care is a team sport—culture beats everything.” — Billy — 24:17“It's not about charging more tools—it's about giving dentists tools that actually give back time.” — Billy — 1:20:00“Big vision: a dentist-led network that lowers costs and raises care.” — Billy — 1:25:11Questions:“Are you putting the phone in your breast pocket so the mic picks everything up?” — 01:00“How did you handle notes back at Bellevue/NYU—between patients or at the end of the day?” — 04:18“Quick intro: where did we first meet, and what's your journey in dentistry?” — 10:49“Which practice are you in day-to-day, and what are your working days?” — 31:03“How did you juggle commuting across Manhattan from Brooklyn when you worked multiple offices?” — 38:23Now available on:- Dr. Gallagher's Podcast & YouTube Channel- Dose of Dental Podcast #174My watch in this episode = Citizen Promaster Diver Day Date- 9.2025

• Guest Name: Chris Riegel • Affiliation: CEO of scala.com • Summary: The discussion centers on High Bandwidth Memory (HBM) as a critical innovation driving the AI revolution. SK Hynix has surpassed competitors by vertically stacking memory chips, overcoming the "memory wall" to allow faster data access for AI processors. This technology is crucial for AI development, with the US leading innovation. Strict US and EU export controls aim to prevent China from acquiring advanced chip-making tools. 11960

On this episode of the podcast, Corey DeAngelis discusses how artificial intelligence (AI) is reshaping education and why a free-market approach is key to success. The duo highlights First Lady Melania Trump's Presidential AI Challenge — which awards up to $10,000 for AI-driven solutions while DeAngelis emphasizes the power of bottom-up innovation over top-down mandates.The school choice advocate also points to schools like Alpha School in Austin, Texas, where students use AI for two hours a day and consistently achieve top national scores, as proof of what's possible outside the control of the teachers' unions. DeAngelis also makes the case for school choice to empower parents and explores how AI can boost vocational training, especially in farming, to strengthen rural education and even bolster national security.You can follow the great work of Corey DeAngelis, Ph.D on X, along with Host Amanda Head and this podcast by searching for the respective handles: @DeAngelisCorey, @AmandaHead & @FurthermorePod.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Sports Geek Rapid Rundown is a daily sports business podcast curated by Sports Geek Reads. We publish it on Sports Geek twice per week. In this episode: Discover how AI is transforming NFL marketing, why Super Bowl 2026 ads sold out early at 7 million dollars per spot, and Mr. Beast's collaboration with YouTube for exclusive NFL streaming. Plus Roku surpasses broadcast TV and Instagram finally launches on iPad - all curated by Sports Geek Reads. Subscribe at https://sportsgeekhq.com/rapidrundown

Fair Lawn Farm's 18th-Century Trades Fair is an annual living history trades encampment in bucolic Highland County, Virginia, featuring artisans affiliated with the likes of Colonial Williamsburg, The Frontier Culture Museum, The Smithsonian and Townsends. For this in-the-field episode, we will be touring the tents, hearing from a dozen craftsmen-&-women about their historical trades ranging from gunsmithing & engraving, to powder horn making & woodworking. Topics discussed: Indian trade silver; gorgets; tin as 18th-century plastic; how to be an American peddler; the itinerant green-woodworker; bread-baking with "baker's match;" natural dyes made from wood shavings; historical uses of animal fats such as bear grease, deer & cow tallow; powder horns and the origin of scrimshaw folk art; casting lead ammunition; Fort Seybert's annual fort burning festival; the surveyor's compass & the white man's flies; acanthus scrollwork on flintlock firearms & self-taught mastery; and last and most importantly, the potential for a craft revival as the antidote to the AI Revolution. Till next year!Reading from Colonial Craftsmen: And the Beginnings of American Industry by Edwin TunisCheck out the Fair Lawn Farm events page at visitFairLawnFarm.com The Craftsmen-&-women in order:Tim Duff - Farm Owner/Event Organizer Mitch Yates - Gunsmith/Silversmith Historian's Stitch - Tinsmith Ye Lowfarb Pedlar - Peddler Stone House History - Bodger & WifeSimeon England - Engraver/BlacksmithMark Bradbury - Horner/Scrimshaw ArtistDavid Allen - Longhunter/Knifemaker Paul Parish - SurveyorMark Thomas - Engraver/GunsmithDavid Ray Pine - Woodworker/Furniture MakerSupport Our Numinous Nature on Patreon.Follow Our Numinous Nature & my naturalist illustrations on InstagramCheck out my shop of shirts, prints, and books featuring my artContact: herbaceoushuman@gmail.com

In this powerful rerun episode, Chris Craddock sits down with Lab Coat Agents founder Tristan Ahumada, one of the most influential voices in real estate and tech. Tristan pulls back the curtain on how AI is shaking up the industry—from tools designed to make agents obsolete, to tech that helps agents scale smarter and serve better.You'll learn:Why AI could compress your commissions if you're not proactiveHow top teams are leveraging AI to create virtual brokers, CFOs, and marketing teamsWhy most real estate outreach feels fake—and how to fix itThe LCM method that made Facebook hire Tristan to train their teamsHow to make your sphere marketing actually feel authenticWhat Zillow is planning—and why you need to pay attentionWhy your thoughts might be sabotaging your successWhether you're a solo agent or scaling a team, this conversation will challenge you to rethink how you're showing up online, in your business, and in your own head.Connect with Tristan Ahumada:Instagram: @tristan.ahumadaLabCoat Agents: www.labcoatagents.comConnect with Chris Craddock:Instagram: @craddrockFacebook: Chris Craddock BusinessRESOURCES: 

Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.In today's Cloud Wars Minute, I spotlight Google's stunning 33x reduction in AI power consumption, what it means for the future of sustainable tech, and how bold innovation is driving the AI revolution forward. Highlights00:23 — Google says it has achieved a 33x reduction in power consumption for Gemini apps' text prompts. A remarkable number. Google, rather than just saying, “Well, hey, we're going to go invest all our money in getting as many users as we can, and we'll deal down the road with some of the energy implications,” have said, “No—now is the time to do it.”01:37 — Now it's got a larger metric here that it uses for the total—what it calls carbon footprint—down by 44x. All of the details behind this have been released in a blog post by a couple of executives.02:31 — Google has adopted a completely end-to-end approach to doing this, where it's taking a look at all of the different technology up and down its stack that could have an input on this. And the data it's collecting is going to give them a fantastic foundation to continue this effort into the future.The AI Revolution, we can safely say now, is not going to boil the Earth.AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details. 03:42 — Several years ago, Google Cloud was number nine on the Cloud Wars Top 10. I'm not sure at the time why it was not number ten, but it had fantastic technology, but could not fully put that in the service of their customers. It was sort of like a mismatch. It's harnessed it over the last several years, under Thomas Kurian, to be fully in service of what customers want and need.04:44 — These breakthroughs by Google and Google Cloud, across the board (again, the details of this in the article coming up later today) show that there's incredible potential to keep doing this. And I think it's this power of innovation that says: Don't be afraid of big ideas. Go after them. Dig into it. Try new approaches to it. There are better ways forward. Visit Cloud Wars for more.

Artificial intelligence is reshaping industries by automating tasks, improving data analysis, and accelerating innovation in sectors such as healthcare, logistics, and manufacturing. Machine learning is advancing disease diagnosis and drug discovery, while AI models are reducing time-to-market and costs in research and development. Data shows that 98 percent of companies feel increased pressure to adopt AI, and 85 percent believe they must implement a strategy within 18 months to avoid negative business impacts. Only 13 percent of organizations report being fully prepared to leverage AI, citing challenges with IT infrastructure, computing power, network optimization, cybersecurity, observability, and data quality. Companies are advised to invest in scalable infrastructure, enhance data management, and develop talent to remain competitive.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Episode Overview In this high-energy episode of One Big Fire, John Kitchens, Jay Kinder, and Al Stasek are joined by GoGo Bethke for a candid conversation about AI, trust, and the future of the real estate brokerage. From the rise of AI-powered ISAs to the shrinking role of traditional team structures, the crew pulls back the curtain on what's really coming next for agents, teams, and brokerages. They tackle the big questions head-on: Will AI replace human agents? Are we entering the era of the “AI brokerage”? What happens to the average frustrated agent (AFA)? And how will trust—between consumers, agents, and technology—reshape the entire industry? Whether you're a team leader, solo agent, or broker-owner, this episode is a blueprint for understanding how to adapt, thrive, and lead in a rapidly evolving marketplace. Key Topics Covered The AI Brokerage of the Future Why the brokerage that integrates AI first will likely win How lead generation, follow-up, and ISA roles are being replaced by AI Why consumers may one day prefer AI responses over human ones GoGo's Perspective: Efficiency & Trust Cutting her team from 43 employees down to 9 using AI without losing revenue Why AI can't “call in sick” but still faces trust barriers with consumers The opportunity to clone your voice, face, and personality into AI for scale Teams vs. Solo Agents in an AI World Are teams becoming obsolete—or evolving into leaner showing-agent models? Why AI may empower solo agents to compete at scale How brokerages offering AI infrastructure could eliminate the need for teams The Consumer Experience Moat AI as a personal real estate COO—handling search, negotiation, vendors, and more The looming threat (and opportunity) of AI-curated consumer journeys Why local nuance, trust, and brand will still matter The Future of Agents & NAR Could AI—not lawsuits—be the biggest threat to NAR? Why professionalism must rise as AI raises the consumer's baseline knowledge The widening gap between high producers using AI and low producers avoiding it Personal Transformation Through AI How Jay is using AI to parent, lead, and self-improve Why the agents who survive will be advisors, negotiators, and educators—not order takers The power of continuous growth and using AI as a true thinking partner Resources & Mentions Agent to CEO 2024 – Sept. 24–25 in Cleveland → AgentToCEOCE.com HoneyBadgerNation.com – Community, training, merch, CHSA/CHBA resources The AI-Driven Leader – Framework for adapting leadership to AI StoryBrand by Donald Miller – Messaging framework to guide clients with clarity The Strangest Secret by Earl Nightingale – Classic on mindset and thought power Final Takeaway AI isn't just a tool—it's a tidal wave. The agents, teams, and brokerages who survive will be the ones who combine AI efficiency with human trust, authority, and leadership. As Jay Kinder put it: “Being good with people won't cut it anymore. You must become a trusted advisor, not just an agent.” Connect with Us: Instagram: @johnkitchenscoach LinkedIn: @johnkitchenscoach Facebook: @johnkitchenscoach   If you enjoyed this episode, be sure to subscribe and leave a review. Stay tuned for more insights and strategies from the top minds. See you next time!

Episode Notes:The podcast episode features Kevin Lancaster, CEO of Channel Program, as a special guest.The discussion centers on the Channel Program platform, including its tools like Navistack, which helps MSPs visualize their technology stack, manage contracts, and integrate financial data.Kevin shares insights from the vast amount of data collected by Channel Program, highlighting the significant number of product categories and tools MSPs use.A major theme is the rapid evolution and impact of AI on the MSP industry, discussing how it's increasing margins through automation but also leading to commoditization.The conversation also covers the importance for MSPs to differentiate themselves by providing business value beyond traditional IT services and how AI is influencing the M&A landscape in the sector. Listen to Shoot the Moon on Apple Podcasts or Spotify.Buy, sell, or grow your tech-enabled services firm with Revenue Rocket.

The focus this week is on the burgeoning field of physical AI and robotics in Singapore, highlighting the country's strategic initiatives, the role of robotics in various sectors, and the collaborative efforts between government, industry, and academia to foster innovation. The Singapore Economic Development Board (EDB) is leading the growth of the local robotics industry, liaising with local government to bring economic and financial incentives to grow the region and the support network for AI and robotics companies. Guests on the show today include: * Lionel Lim, VP and Head of Tech Hardware and Equipment, Singapore Economic Development Board * Raahul Kumar, Senior Vice President of Strategy & Corporate Development at Certis Group * Zhihao Chin, Deputy Director, Robotics, Automation and Unmanned Systems, Home Team Science & Tech Agency These gentlemen discuss the unique opportunities Singapore offers for robotics companies, including its strong manufacturing base, supportive ecosystem, and commitment to talent development. They also share insights on the lessons learned from implementing robotics and AI, emphasizing the importance of integration, reliability, and scalability in deploying these technologies effectively. ### – SPONSOR – Ever wondered why global giants like Rockwell, Micron, and HP chose Singapore for their cutting-edge manufacturing facilities? It's no coincidence that the city-state is the world's fifth-largest exporter of high-tech goods. From world-class talent to seamless supply chains and groundbreaking innovation, Singapore's advanced manufacturing ecosystem is powering the future of Industry 4.0. Ready to discover what makes Singapore the choice destination

Creating a new Category in the Middle of the AI Revolution On this episode host Adam Turinas and his guest Kristin Russel, CMO of symplr unpacks how she's building a unified brand in one of the most complex corners of healthcare, and doing it right in the middle of the AI revolution. 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/

When somebody says “win-win” in Silicon Valley, check your pockets. It's usually some elaborate prelude to a sales pitch. And the only thing dodgier than a two-way win is the “win-win-win” narrative that my friend Keith Teare is selling this week. “User, Publishers and AI: Everybody Wins” is the title of Keith's That Was The Week newsletter this week. And to be fair, what he's selling is the dream of an AI world in which the publishers, consumers and manufacturers of information all win. Who wouldn't want that? Our conversation this week is built around the AI ethics showdown by Y Combinator and Andreessen Horowitz which has shaken Silicon Valley this week. The battle centers on whether AI agents should identify themselves when accessing publisher content - a seemingly technical question that reveals broader tensions about who controls information in the age of artificial intelligence. Y Combinator's Garry Tan called new authentication requirements an "axis of evil" while Andreessen Horowitz's Martin Casado argued they represent common sense infrastructure. But the ever-optimistic Keith (who seems to believe that all progress is good, even for its victims) thinks everyone can win - users, publishers and tech companies. Presumably even Garry Tan and Martin Casado. If you believe that, then I might have some beautiful, no-risk Las Vegas beachfront real-estate for you. 1. The "Axis of Evil" Fight Is Really About Anonymous Access When Y Combinator's Garry Tan attacked Cloudflare and Browserbase's AI authentication system as an "axis of evil," he revealed Silicon Valley's preference for consequence-free data harvesting. The technical dispute over AI agent identification masks a deeper question: should AI companies remain anonymous when accessing publisher content, or must they become accountable?2. Publishers Need Influence, Not Just Traffic The conversation exposed a crucial distinction between advertising models that require massive scale and sponsorship models that reward targeted influence. Quality audiences matter more than raw pageviews - an insight that could reshape how content creators think about monetization in the AI era.3. The "Virtuous Circle" Depends on AI Companies Acting Against Self-Interest Keith's vision of AI systems surfacing attribution links back to original sources requires companies to voluntarily complicate their user experience. Why would ChatGPT or Claude choose to send users away to read original articles when seamless summarization is their core value proposition?4. "Bad Publishers Deserved to Fail" Sidesteps Structural Questions Keith's argument that only inferior publishers lost to digital disruption ignores how entire categories of valuable journalism - particularly local news - faced structural economic challenges regardless of quality. This reveals the limitations of purely market-based explanations for technological displacement.5. Trust May Be Irrelevant in the Post-Truth Era My observation that "nobody cares about trust anymore" challenges the entire premise of authentication systems. If users don't demand source verification, then the economic incentives for Keith's proposed "trusted third party" infrastructure may not exist.Keen On America is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

Today, we're talking to Jeetu Patel, President and CPO at Cisco. We discuss how Cisco is leading the charge in transforming AI infrastructure and security, why addressing the trust deficit in AI is crucial for widespread adoption, and how the unprecedented scale and speed of the AI revolution is reshaping the tech landscape. All of this right here, right now, on the Modern CTO Podcast! To learn more about what Cisco is up to, visit their website here.

Adenike Adeyemi, Executive Director, FATE Foundation, a globally recognised social innovator, policy advocate, and transformative leader and Matthew Wallace, Co-founder and CEO, ONOW Ascent Inc, a global leader in empowering entrepreneurs with innovative financial tools and strategies, explored and offered a unique perspective on the future of finance and entrepreneurship and how AI is revolutionizing the game of inclusive financial systems in this conversation. This thought-provoking podcast was recorded on the sidelines of the 2025 Global Entrepreneurship Congress in Indianapolis. They broke down: 1. What AI really is and what entrepreneurs—and those who support them—need to know about its different possibilities. ⁠2. How AI can help with financial literacy, financial inclusion, and financing support, while also discussing the risks and challenges you need to be aware of. Kindly leave a comment, or question and we will be excited to respond. Subscribe and stay tune for more exciting updates. Video Production Credit: Silver Fox Media

In this episode, the hosts delve into the transformative role of AI in project management, discussing its evolution, practical applications, and the challenges of adoption. They explore the emergence of AI agents, their impact on consulting, and the ethical considerations surrounding AI integration in the workplace. The conversation also touches on the future of work, organisational changes, and the potential breakthroughs that AI may bring to the industry. In this engaging conversation, the speakers explore the interplay between knowledge, AI, and human experience. They discuss the importance of sharing knowledge, the balance between technology and human interaction, and the potential for AI to enhance project management. The dialogue also delves into philosophical perspectives on AI, the future of work, and the role of education in bridging the gap between technology and human understanding. The speakers emphasise the need for experimentation, collaboration, and a human-centric approach to technology, ultimately advocating for a fun and exploratory mindset in navigating the evolving landscape of AI.Key Takeaways People often feel stiffed by societal advances.Experimentation is key in understanding AI's capabilities.Building in public fosters confidence and knowledge sharing.AI should give us more time for human interaction.The transition to AI will be challenging for many.Humans often get in the way of technological progress.Education systems are struggling to adapt to AI.Generative models in AI mirror human intelligence.The meaning of life is not limited to intelligence.Chapters03:32 The Evolution of AI in Project Management06:16 Exploring AI Agents and Their Applications09:12 Practical Experiences with AI Agents11:54 The Future of Consulting and AI Integration14:31 The Role of AI in Organizational Structures17:32 Futurescaping: The Future of AI in Projects20:13 Overcoming Resistance to AI Adoption23:09 The Ethical Considerations of AI in Projects36:30 Creating Value in the Age of AI40:04 The Disappearance of Intermediaries44:05 The Future of Work and AI48:39 AI in Project Management53:55 Knowledge Transfer and AI01:06:22 Balancing Technology and Human Interaction01:09:52 The Future of AI and Human Interaction01:14:11 Ethics and Rights of AI01:17:24 Understanding AI's Role in Society01:24:30 Education and AI: Bridging the Gap01:33:53 Generative Intelligence: Human vs AI

OpenAI founder Sam Altman floated the idea of an AI bubble, an MIT report found that 95% of generative AI pilots at companies are failing and tech stocks took a dip.With the AI sector is expected to become a trillion dollar industry within the next decade, what impact might slowing progress have on the economy? NPR's Scott Detrow speaks with Cal Newport, a contributing writer for the New Yorker, and a computer science professor at Georgetown, about the limitations of the AI revolution. For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or atplus.npr.org. Email us at considerthis@npr.org.This episode was produced by Elena Burnett. It was edited by John Ketchum and Eric McDaniel. Our executive producer is Sami Yenigun.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

What if this episode wasn't just about AI—but was created BY AI? Dive into how artificial intelligence is revolutionizing every aspect of legal practice, from client intake to profitability.Sam Mollaei, Esq. reveals cutting-edge AI tools like ChatGPT Mobile, Adobe Enhanced Speech, and automated review analysis that are transforming law firms. Learn how to leverage AI for faster intake, data-driven insights, and marketing strategies that maximize ROI while you focus on high-value work.This is innovation in action. Stay tuned and get ready to rethink what's possible for your practice.Key Takeaways from this episode:1. AI Tools to Boost ProductivityCutting-edge AI tools like ChatGPT Mobile, Adobe Enhanced Speech, and Grammarly are empowering legal professionals to automate tasks, clean up workflows, and focus on what matters most.These tools aren't just helpful—they're transformative for efficiency.2. Google Reviews Powered by Data-Driven InsightsLeveraging AI to analyze Google reviews can uncover trends in client satisfaction, helping firms optimize operations.AI-driven sentiment analysis transforms reviews into actionable insights for growth.3. AI in Client IntakeIntegrating AI into the client intake process ensures faster response times, better tracking, and seamless lead conversions.Firms that automate intake functions see significantly higher conversion rates—responding within five minutes can boost chances of success by 21 times.4. The Role of AI in Marketing StrategiesAI-enabled tools like call tracking and Google Local Services Ads help lawyers focus their marketing efforts on what works, maximizing ROI and driving high-quality leads with precision.5. AI for Profitability and Niche ExpertiseUsing AI to automate cost-heavy, repetitive tasks and streamline workflows frees up time to focus on high-value clients.AI also aids in identifying lucrative niches by analyzing market trends and client data, allowing firms to specialize and increase profitability. "If you're not already on board [with AI], you're already behind.""And while some lawyers might be intimidated by AI, Sam really sees it as a powerful tool that you can use to enhance your practice. You can streamline those workflows, provide better service to your clients, and he's all about using technology to create that leverage, freeing yourself up to focus on those tasks that only humans can do."

Shaun shifts throught he news to prove Democrats know NOTHING! PLUS, Todd Sheets, author of the book 2008: What Really Happened - Understanding the Great Financial Crisis and the On Wealth and Progress newsletter, tells Shaun our educational system trashing capitalism is a huge problem for our economy and praises the AI Revolution as an opportunity for economic growth. Jake Goebbert talks to Shaun about our big summer party happening at Goebbert's Farm in Pingree Grove this Friday! And have you or a loved one been a victim of politically motivated free speech censorship by Big Tech? JC Sheppard, founder of Wimkin Social Media, has taken on Big Tech, Government and Legacy Media in a landmark free speech case seeking compensation for conservatives who lost their livelihoods over the past 6 years due to censorship and disinformation. Read the bill and sign up for the class action suit HERE.See omnystudio.com/listener for privacy information.

From TV production to trailblazing in generative AI, Jennifer Bittinger's journey is anything but ordinary. In this episode of Inside Biotech, Jennifer shares how her non-linear career path–from helping launch Hulu to leading Narrativa–prepared her to bring AI innovation into the life sciences. She reveals how Narrativa became the first company to have FDA-approved, AI-generated clinical trial documentation, cutting years of “white space” in the drug-development process. Along the way, she tackles fears about AI replacing jobs, explaining how it can instead give scientists and medical writers their time back for high-value work. Today's episode is a masterclass in how relationships, curiosity, and a little bit of courage can transform entire industries. Follow our Instagram @insidebiotech for updates about episodes and upcoming guests! To learn more about BCLA's events and consulting visit our website.Follow BCLA on LinkedIn

Todd Sheets, author of the book 2008: What Really Happened - Understanding the Great Financial Crisis and the On Wealth and Progress newsletter, tells Shaun our educational system trashing capitalism is a huge problem for our economy and praises the AI Revolution as an opportunity for economic growth.See omnystudio.com/listener for privacy information.

Martin Böhringer, Gründer von Staffbase, gibt dir Einblicke in den Weg vom Uni-Projekt zum führenden Anbieter für interne Kommunikation. Er teilt, wie sie die Mitarbeiter-App erfunden haben, warum Chemnitz als Standort ein Vorteil ist und wie sie sich für die AI-Revolution vorbereiten. Was du lernst: Von der ersten zur zweiten Gründung: Warum die erste Firma scheiterte Die richtigen Learnings mitnehmen Wie man beim zweiten Mal alles anders macht Standortstrategie & Internationalisierung: Warum Chemnitz als Hauptstandort funktioniert Die richtige Balance zwischen lokalen Hubs Der Weg in die USA und global Leadership & Organisationsentwicklung: Wie du verschiedene Führungsstile einsetzt Die Bedeutung von Coaching Warum Fehlerkultur entscheidend ist AI-Revolution & Zukunft: Wie sich interne Kommunikation verändert Die Balance zwischen Innovation und Enterprise-Anforderungen Warum die nächsten 18 Monate entscheidend sind Kultur & Werte: Die Bedeutung von "Ownership" und "Growth" Wie du Diversität richtig förderst Warum Gründen Spaß machen muss ALLES ZU UNICORN BAKERY: https://zez.am/unicornbakery  Mehr zu Martin: LinkedIn: https://www.linkedin.com/in/martinboehringer/  Website: https://staffbase.com/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/  Kapitel: (00:00:00) Wie kommt man vom Doktorandendasein zum Gründer? (00:02:51) Die Verbindung zwischen Martins Firmen (00:08:52) Welche Learnings hat Martin beim 2. Unternehmen umgesetzt? (00:15:58) Sollte man einen Kunden signen, wenn man nicht produkt-ready ist? (00:25:21) Warum war New York von Anfang an relevant als Markt? (00:31:53) Die finanzielle Wachstumsstory von Staffbase (00:40:47) How to: Strukturierte Veränderung (00:49:00) Was sind Martins größte Learnings (00:58:28) Wie wichtig ist Klarheit für Martin (01:13:48) Die Entwicklung der Organisation durch KI (01:21:43) Martins Sicht auf Disruption durch Entwicklung

AI is transforming the workplace, but it doesn't mean your career is at risk. In this episode of Breaking The Chain, Nathaniel Chapman and Terentia Browne explore how to face change without panic, understand AI's true impact on jobs and uncover practical ways to stay ahead in the AI revolution.Follow Impel TalentLinkedIn: Impel TalentTwitter: @ImpelTalentFacebook: @Impel TalentInstagram: @ImpelTalentJoin us for illuminating discussions, practical insights, and a roadmap for thriving in an ever-shifting world. Subscribe now and join the conversation as we break new ground in leadership excellence!

Eric Brown vividly recalls his trial by fire at MicroStrategy. Joining a subsidiary, he expected to help deploy hundreds of millions from a planned secondary raise. Instead, “the parent company had a restatement…raised zero,” he tells us. Elevated to CFO, he faced layoffs of two-thirds of staff and operating margins at -40%. Over three years, Brown led a turnaround to +30% margins and a market cap recovery from $55 million to more than $1 billion. “Nothing really phases me,” he says of the experience.That resilience shaped how he later embraced growth. At Tanium, he oversaw hyperbolic expansion—ARR surging from $8 million to over $220 million in three years—while remaining operating cash-flow positive. At Electronic Arts, he guided the transformation from disc-based game sales to digital distribution. And at Informatica, he achieved what he once missed at another firm: leading a successful $1 billion IPO.Now at Cohesity, Brown sees a new frontier in AI. Comparing it to earlier waves like the internet and cloud, he emphasizes the capital intensity and strategic importance of data. Training large language models will be limited to “maybe eight to ten long-term” entities worldwide, he tells us. For Cohesity, which secures and curates customer data, AI offers both internal efficiencies—like case resolution and policy querying—and external growth through its Gaia platform.From existential crisis to IPO triumphs, Brown frames AI as the next defining wave. “The broad-based applicability is extraordinary,” he tells us, adding that the real battle will be for privileged data.CFOTL: Thank you for that perspective. You revealed to us pretty much what Cohesity is up to, and maybe you can tell us a little bit about the acquisition last year of Veritas. After that was announced, it was said you were now the largest data protection software provider by market share. How has that transformed your business strategy or competitive positioning?Brown: First of all, this transaction is a landmark deal—something that would make an amazing business school case study. To set it up: Cohesity, a private company with about $550 million in GAAP run-rate revenue, had just reached break-even. Then we bought 72% of Veritas in a carve-out from a private entity. That move doubled our size—Veritas had roughly $1.1 billion in GAAP revenue.You ask, how does a $500 million company buy a $1.1 billion company? The answer is you need a compelling case and a lot of capital. The case was horizontal consolidation: Veritas had an incredible install base but an older-generation product, while Cohesity had a next-gen hyper-converged product. Together, we could offer something better. With 4,000 Cohesity customers and 9,000 from Veritas—and only 2% overlap—we created a highly complementary enterprise customer base.To finance it, we essentially became a deal-specific private equity company, raising $950 million of equity and $2.8 billion of debt. We closed the deal in December last year. Since then, we've integrated at record speed—three to four times faster than you'd normally see in an M&A transaction. Every system has converged except customer care, which will be complete by November. Customer response has been strong, and the original thesis—that we'd be better together with a stronger roadmap and a future-proofed Veritas base—has proven absolutely true. This wasn't just financial engineering; the combined product value proposition is rock solid, and it's been great to see that play out.

Watch it here: https://youtu.be/4kYw-y4id3YIn a world where artificial intelligence infiltrates every corner of our existence, we face a chilling reality where our most incredible creation transforms into our greatest threat. As we unwittingly surrender our autonomy to lines of code, the line between helper and master blurs. What lies beneath the surface of this technological marvel? Join us on an epic journey in "Babel 2.0: The Artificial Intelligence Revelation," as we venture into the depths of the AI enigma, unraveling a sinister truth before it consumes us all. Brace yourself for a cinematic exploration of humanity's hubris and a quest for survival in the age of machines!Support the show

Andrew Mayne, Justin Robert Young, and Brian Brushwood embark on a journey through the latest in AI, discussing the release of GPT-4, MH-X AI, Elon Musk’s contributions, and the introduction of ChatGPT’s Agent Mode. They explore the potential of AI to revolutionize tasks from filling out PDFs to creating slide decks, while also touching on […]

In this episode of the AI Chat podcast, host Jaeden speaks with Greg Shove, CEO of Section AI, about the evolution of AI in business, the challenges of workforce adoption, and the future of jobs in an AI-driven world. Greg shares insights on how organizations can effectively implement AI, the importance of understanding the 'why' behind AI initiatives, and his contrarian views on the potential for single-employee billion-dollar companies. He also reflects on his own experiences and mistakes in AI implementation, offering valuable advice for entrepreneurs navigating the current landscape.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutCheck out Greg's work at:sectionai.comhttps://prof.ai/Chapters00:00 Introduction to Greg Shove and Section AI01:17 The Evolution of Section AI02:35 Challenges in AI Adoption04:37 Strategies for Workflow Change07:48 Predictions for the Job Market11:21 The Future of Management Roles12:51 Implementing AI in Organizations18:04 Contrarian Views on AI in Business20:31 Lessons Learned from Mistakes25:43 Advice for Future Entrepreneurs

 Mastering High-Ticket Sales with AI and AutomationIn this episode of Breakthrough Walls, I, had the pleasure of being a guest on Ken Wall's Podcast. Key Highlights:Introduction to AI and Automation:I shared my transformative experience with AI, particularly ChatGPT, and how it revolutionized my approach to business. I discussed integrating old-school sales techniques with new-school automation and AI to create a powerful business strategy.The Importance of Follow-Up:We delved into the critical importance of follow-up in business. I emphasized that many business owners leave significant money on the table by not having a robust follow-up system. I shared insights on how consistent follow-up can dramatically increase conversion rates.Dream 100 Strategy:I explained the Dream 100 strategy, a concept I learned from Russell Brunson. This involves identifying and building relationships with the top 100 people or companies that can significantly impact your business. I shared my personal journey of how he applied this strategy to form valuable partnerships.Marketing to the Affluent:We discussed Dan Kennedy's book, "Marketing to the Affluent," and how it has influenced my approach to business. In challenging economic times, focusing on the top 5% who are less affected by economic downturns can be a game-changer.High Ticket Offers:I talked about the power of high-ticket offers and how they can transform a business. I shared my experiences working with top entrepreneurs like Russell Brunson and Eileen Wilder, and how they have successfully implemented high-ticket offers in their businesses.AI in Business:The conversation also touched on the role of AI in modern business. I shared how I uses AI to enhance customer interactions and improve follow-up processes, leading to higher conversion rates and better customer satisfaction.The fastest way to launch a high-ticket offer that sells like crazy? Find it here:www.converthighticket.com/supernovaASK THIS EPISODE ANYTHINGTIME STAMPS00:00:00 - Introduction and Chat GPT Impact00:00:41 - Welcome to Roots to Riches00:01:02 - Introduction to Breakthrough Walls00:01:15 - Justin Benton's Return00:02:17 - COVID's Impact on Business00:02:55 - Audience Engagement and Jeffrey Gittomer00:03:54 - Business Owners Leaving Money on the Table00:05:25 - The Importance of Follow-Up00:07:02 - AI Revolution in Business00:09:06 - Navigating the Current Economy00:11:06 - Marketing to the Affluent00:13:02 - Dream 100 List00:15:08 - Eileen Wilder's Success Story00:19:32 - Hollywood Hills Auction and Russell Brunson00:26:11 - Principles for Business Success00:28:08 - Funnel Hacking and High-Ticket Offers00:32:53 - Embracing AI in Business00:34:08 - Chat GPT and Mastermind Training00:36:05 - Masterclass and High-Ticket Offers00:38:53 - Importance of High-Ticket Offers00:43:02 - Closing Remarks and Call to Action Thank you for tuning in to the Miracle Plant Podcast. Remember, our mission is to heal the world with the power of this miracle plant. Join us next time for more inspiring stories and insights into the world of cannabis. Produced by PodConx 101cbd - https://101cbd.org/Email Justin Benton - jbenton@101cbd.orgGet a free consultation - askjanet.orgKaneh Bosm Connection - https://youtube.com/@kanehbosmconnection

In this urgent and eye-opening episode of The 1000 Hours Outside Podcast, host Ginny Yurich sits down with Matt Britton, a pioneering voice in AI and author of Generation AI, to unravel what the rapid rise of artificial intelligence truly means for parents and the future of childhood. Matt reveals why memorization and traditional education models are becoming obsolete, and how creativity—the uniquely human skill that no AI can replicate—will be the currency of tomorrow's workforce. As AI reshapes every facet of our lives, this conversation offers critical insight into how parents can nurture resilience, imagination, and real-world problem-solving skills in their children before the AI wave changes everything. From the promise of AI-powered “second brains” to the risks of digital loneliness and emotional dependency on chatbots, Matt and Ginny explore the paradox of embracing technology while fiercely protecting human connection and creativity. This episode is a must-listen for any parent who wants to prepare their children not just to survive—but to thrive—in a world where 85% of jobs in 2030 don't even exist today. Tune in for a thoughtful, hopeful, and practical roadmap to parenting in the Age of AI. Get your copy of Generation AI here Learn more about Matt and all he has to offer here Learn more about your ad choices. Visit megaphone.fm/adchoices

As AI transforms the world at warp speed, what does it mean for the workforce—and the church? In this episode of Rebuilders, we zoom in on one crucial aspect of the AI revolution: its disruptive impact on white-collar work. What happens when entry-level jobs vanish, AI reshapes our thinking, and a generation raised online struggles with real-world connection?From the looming white-collar recession to AI-induced creativity loss, Mark offers a sobering yet hopeful vision of how the church can respond—not by competing with machines, but by offering what only humans can: presence, discipleship, and resilience. This is a call to prepare, not panic.

What if the most critical skills for navigating the age of artificial intelligence aren't technical, but deeply human?In this episode of Glass Ceilings and Sticky Floors, Erica Rooney sits down with Dr. Felicia Newhouse, a visionary leader and the host and founder of the AI Powered Women Conference. With her work at Business to Human, Dr. Newhouse is a passionate advocate for a human-centered approach to AI, championing diverse voices—especially women—to be at the forefront of its development and application.Join them as they explore the urgent need for women to engage with AI, the common "sticky floors" that hold them back, and how to use technology to amplify our unique humanity rather than automate it away.Inside the Episode:The Catalytic Shift: Dr. Newhouse's personal journey from AI product executive to an advocate for human-centered technology, driven by a concern for burnout and the accelerating pace of change.The Macro Problem: Why designing AI through a lens of speed and extraction risks automating ourselves out of empathy and ethics, and why businesses that slow down to ask the right questions will ultimately win.A "Sticky Floor" for Women: Discussing a recent Harvard study that found women are adopting AI tools at a 25% lower rate than men, driven by imposter syndrome, tech intimidation, and a fear of being perceived as "cheating."Yesterday's Soft Skills, Tomorrow's Hard Skills: Highlighting why emotional intelligence, critical thinking, and resilience are the top skills for 2025 and why organizations need to start training for them now.AI and Ancestral Intelligence: The importance of anchoring ourselves in uniquely human qualities—like intuition, creativity, and compassion—as we leverage AI to amplify our work.The Future for Our Kids: Dr. Newhouse shares her concerns about the mental health impacts of technology on the next generation and identifies human-centered professions that are likely to thrive.The Antidote to Cheating: Actionable advice for women on how to use AI responsibly for brainstorming, delegating low-leverage tasks, and magnifying their unique brilliance without compromising their integrity.If you're ready to move past the fear and uncertainty of AI and step into your power as a leader in this new era, this episode is your guide.

AI is coming to the legal world. Danny Fortson talks to Eleanor Lightbody, the chief executive of Luminance, a UK startup using artificial intelligence to automate and augment legal work. So is there to be a looming “white collar recession” or will we be able to have more time for thinking afresh about the law and other professions? Hear how AI is transforming contract review, and the future of the legal profession. Plus, why AI adoption is surging. what happens when AI makes mistakes, and how to avoid over-reliance on a single AI model: A fascinating insight into the practicalities of AI adoption. Hosted on Acast. See acast.com/privacy for more information.

Donate (no account necessary) | Subscribe (account required) Join Bryan Dean Wright, former CIA Operations Officer, as he dives into today's top stories shaping America and the world. In today's episode, we cover Durham Annex Confirms Trump-Russia Hoax Origins Newly declassified findings show Hillary Clinton's campaign fabricated the Trump-Russia collusion narrative to distract from her own email scandal. The FBI launched its Crossfire Hurricane investigation without evidence, with questions mounting over Obama-era intelligence officials' involvement. Clapper Threatened Whistleblower, New Letter Reveals A whistleblower says he was pressured by James Clapper's team to endorse a false intelligence assessment. When he refused, his promotion was threatened. Senate Democrats reportedly ignored his warning. The mainstream press remains silent as Pulitzer Prize-winning outlets avoid revisiting the debunked narrative. Jobs Report and Trump's Federal Workforce Cuts The July jobs number arrives today with major implications for interest rate policy. Meanwhile, 154,000 federal workers have taken Trump's buyout offer. ICE and DHS are ramping up hiring, while the administration pushes toward leaner government staffing. Tariff Deadlines, Trade Deals, and Whirlpool's Comeback Trump's tariffs defuse a looming war between Thailand and Cambodia. New trade deals are signed and global rates reset to a baseline of 10 to 15 percent. Whirlpool celebrates the policy shift, but legal challenges could bring tariff chaos this winter unless Congress steps in. Nvidia Chips for Rare Earths Sparks Backlash Trump authorizes a controversial swap allowing China to buy U.S. AI chips in exchange for critical minerals. Lawmakers are outraged, warning the deal risks U.S. technological leadership. Meanwhile, the White House scrambles to rebuild a domestic supply chain for rare earth magnets. U.S. Missile Shortage and War Readiness During the Israel-Iran conflict, the U.S. used 25 percent of its THAAD interceptor stockpile. New funding will boost production, but critical components still rely on Chinese supply chains. Analysts warn of vulnerabilities if conflict with China erupts. Biden-Era Migrant Flow Through Panama Stops Cold The Darien Gap, once a highway for 80,000 monthly migrants under Biden, now sees just 10. The collapse of the route confirms the migrant crisis was always a policy choice. Arab League Calls for Hamas to Disarm In a rare move, Arab states and Turkey publicly demand Hamas step down and hand over weapons to the Palestinian Authority. While Israel and Trump cautiously welcome the news, aid delivery failures and propaganda missteps complicate hopes for peace. Iran's Cultural Pivot from Islam to Ancient Persia Facing declining popularity, Iran's regime embraces its pre-Islamic Persian heritage. Analysts say the shift is meant to unify the country with cultural pride amid internal discontent and war fatigue. U.S. Opens Visa-Free Travel for Argentina Trump gifts President Milei a visa-free travel program, but critics warn it may increase transnational crime. Lawmakers call for stricter travel vetting and question the expansion of Obama-era ESTA policies. AI's Disruption Hits Rural Colombian Schools Students in a small town near Bogotá are using Meta's AI tool to fake homework, failing tests as a result. Teachers crack down with new policies. Bryan reflects on AI's impact on youth, work, and future voting behavior, urging thoughtful policy before Big Tech decides for us. "And you shall know the truth, and the truth shall make you free." - John 8:32

On today's edition of The Editors, Jack Butler guest-hosts for the absent Rich Lowry, and is joined by Charlie, Jim, and Michael to discuss Tulsi Gabbard's announcements about Obama, news out of Ukraine, and Trump's remarks on AI.Editors' Picks:Jack: Tributes to Ed Fuelner; Moria Gleason and Benjamin Rothove's outputCharlie: James Kirchick's magazine piece "Tucker Carlson's Dark Turn"Jim: Charlie's piece “Everything That's Going On”MBD: Giancarlo Sopo's review “No Sacred Cows: Eddington Skewers America's Madness"Light Items:Jack: Joy for some dear friendsCharlie: Bang Bang shrimpJim: SupermanMBD: More sports camp newsSponsors:Allegiance GoldFinding ReaganThis podcast was edited and produced by Sarah Colleen Schutte.