Podcasts about american ai

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the stark reality of the future of work presented at the Marketing AI Conference, MAICON 2025. You’ll learn which roles artificial intelligence will consume fastest and why average employees face the highest risk of replacement. You’ll master the critical thinking and contextual skills you must develop now to transform yourself into an indispensable expert. You’ll understand how expanding your intellectual curiosity outside your specific job will unlock creative problem solving essential for survival. You’ll discover the massive global AI blind spot that US companies ignore and how this shifting landscape affects your career trajectory. Watch now to prepare your career for the age of accelerated automation! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-maicon-2025-generative-ai-for-marketers.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, we are at the Marketing AI Conference, Macon 2025 in Cleveland with 1,500 of our best friends. This morning, the CEO of SmartRx, formerly the Marketing AI Institute, Paul Ritzer, was talking about the future of work. Now, before I go down a long rabbit hole, Dave, what was your immediate impressions, takeaways from Paul’s talk? Katie Robbert – 00:23 Paul always brings this really interesting perspective because he’s very much a futurist, much like yourself, but he’s a futurist in a different way. Whereas you’re on the future of the technology, he’s focused on the future of the business and the people. And so his perspective was really, “AI is going to take your job.” If we had to underscore it, that was the bottom line: AI is going to take your job. However, how can you be smarter about it? How can you work with it instead of working against it? Obviously, he didn’t have time to get into every single individual solution. Katie Robbert – 01:01 The goal of his keynote talk was to get us all thinking, “Oh, so if AI is going to take my job, how do I work with AI versus just continuing to fight against it so that I’m never going to get ahead?” I thought that was a really interesting way to introduce the conference as a whole, where every individual session is going to get into their soldiers. Christopher S. Penn – 01:24 The chart that really surprised me was one of those, “Oh, he actually said the quiet part out loud.” He showed the SaaS business chart: SaaS software is $500 billion of economic value. Of course, AI companies are going, “Yeah, we want that money. We want to take all that money.” But then he brought up the labor chart, which is $12 trillion of money, and says, “This is what the AI companies really want. They want to take all $12 trillion and keep it for themselves and fire everybody,” which is the quiet part out loud. Even if they take 20% of that, that’s still, obviously, what is it, $2 trillion, give or take? When we think about what that means for human beings, that’s basically saying, “I want 20% of the workforce to be unemployed.” Katie Robbert – 02:15 And he wasn’t shy about saying that. Unfortunately, that is the message that a lot of the larger companies are promoting right now. So the question then becomes, what does that mean for that 20%? They have to pivot. They have to learn new skills, or—the big thing, and you and I have talked about this quite a bit this year—is you really have to tap into that critical thinking. That was one of the messages that Paul was sharing in the keynote: go to school, get your liberal art degree, and focus on critical thinking. AI is going to do the rest of it. Katie Robbert – 02:46 So when we look at the roles that are up for grabs, a lot of it was in management, a lot of it was in customer service, a lot of it was in analytics—things that already have a lot of automation around them. So why not naturally let agentic AI take over, and then you don’t need human intervention at all? So then, where does that leave the human? Katie Robbert – 03:08 We’re the ones who have to think what’s next. One of the things that Paul did share was that the screenwriter for all of the Scorsese films was saying that ChatGPT gave me better ideas. We don’t know what those exact prompts looked like. We don’t know how much context was given. We don’t know how much background information. But if that was sue and I, his name was Paul. Paul Schrader. Yes, I forgot it for a second. If Paul Schrader can look at Paul Schrader’s work, then he’s the expert. That’s the thing that I think needed to also be underscored: Paul Schrader is the expert in Paul Schrader. Paul Schrader is the expert in screenwriting those particular genre films. Nobody else can do that. Katie Robbert – 03:52 So Paul Schrader is the only one who could have created the contextual information for those large language models. He still has value, and he’s the one who’s going to take the ideas given by the large language models and turn them into something. The large language model might give him an idea, but he needs to be the one to flush it out, start to finish, because he’s the one who understands nuance. He’s the one who understands, “If I give this to a Leonardo DiCaprio, what is he gonna do with the role? How is he gonna think about it?” Because then you’re starting to get into all of the different complexities where no one individual ever truly works alone. You have a lot of other humans. Katie Robbert – 04:29 I think that’s the part that we haven’t quite gotten to, is sure, generative AI can give you a lot of information, give you a lot of ideas, and do a lot of the work. But when you start incorporating more humans into a team, the nuance—it’s very discreet. It’s very hard for an AI to pick up. You still need humans to do those pieces. Christopher S. Penn – 04:49 When you take a look, though, at something like the Tilly Norwood thing from a couple weeks ago, even there, it’s saying, “Let’s take fewer humans in there,” where you have this completely machine generated actor avatar, I guess. It was very clearly made to replace a human there because they’re saying, “This is great. They don’t have to pay union wages. The actor never calls in sick. The actor never takes a vacation. The actor’s not going to be partying at a club unless someone makes it do that.” When we look at that big chart of, “Here’s all the jobs that are up for grabs,” the $12 trillion of economic value, when you look at that, how at risk do you think your average person is? Katie Robbert – 05:39 The key word in there is average. An average person is at risk. Because if an average person isn’t thinking about things creatively, or if they’re just saying, “Oh, this is what I have to do today, let me just do it. Let me just do the bare minimum, get through it.” Yes, that person is at risk. But someone who looks at a problem or a task that’s in front of them and thinks, “What are the five different ways that I could approach this? Let me sit down for a second, really plan it out. What am I not thinking of? What have I not asked? What’s the information I don’t have in front of me? Let me go find that”—that person is less at risk because they are able to think beyond what’s right in front of them. Katie Robbert – 06:17 I think that is going to be harder to replace. So, for example, I do operations, I’m a CEO. I set the vision. You could theoretically give that to an AI to do. I could create CEO Katie GPT. And GPT Katie could set the vision, based on everything I know: “This is the direction that your company should go in.” What that generative AI doesn’t know is what I know—what we’ve tried, what we haven’t tried. I could give it all that information and it could still say, “Okay, it sounds like you’ve tried this.” But then it doesn’t necessarily know conversations that I’ve had with you offline about certain things. Could I give it all that information? Sure. But then now I’m introducing another person into the conversation. And as predictable as humans are, we’re unpredictable. Katie Robbert – 07:13 So you might say, “Katie would absolutely say this to something.” And I’m going to look at it and go, “I would absolutely not say that.” We’ve actually run into that with our account manager where she’s like, “Well, this is how I thought you would respond. This is how I thought you would post something on social media.” I’m like, “Absolutely not. That doesn’t sound like me at all.” She’s like, “But that’s what the GPT gave me that is supposed to sound like you.” I’m like, “Well, it’s wrong because I’m allowed to change my mind. I’m a human.” And GPTs or large language models don’t have that luxury of just changing its mind and just kind of winging it, if that makes sense. Christopher S. Penn – 07:44 It does. What percentage, based on your experience in managing people, what percentage of people are that exceptional person versus the average or the below average? Katie Robbert – 07:55 A small percentage, unfortunately, because it comes down to two things: consistency and motivation. First, you have to be consistent and do your thing well all the time. In order to be consistent, you have to be motivated. So it’s not enough to just show up, check the boxes, and then go about your day, because anybody can do that; AI can do that. You have to be motivated to want to learn more, to want to do more. So the people who are demonstrating a hunger for reaching—what do they call it?—punching above their weight, reaching beyond what they have, those are the people who are going to be less vulnerable because they’re willing to learn, they’re willing to adapt, they’re willing to be agile. Christopher S. Penn – 08:37 For a while now we’ve been saying that either you’re going to manage the machines or the machines are going to manage you. And now of course we are at the point the machine is just going to manage the machines and you are replaced. Given so few people have that intrinsic motivation, is that teachable or is that something that someone has to have—that inner desire to want to better, regardless of training? Katie Robbert – 09:08 “Teachable” I think is the wrong word. It’s more something that you have to tap into with someone. This is something that you’ve talked about before: what motivates people—money, security, blah, blah, whatever, all those different things. You can say, “I’m going to motivate you by dangling money in front of you,” or, “I’m going to motivate you by dangling time off in front of you.” I’m not teaching you anything. I’m just tapping into who you are as a person by understanding your motives, what motivates you, what gets you excited. I feel fairly confident in saying that your motivations, Chris, are to be the smartest person in the room or to have the most knowledge about your given industry so that you can be considered an expert. Katie Robbert – 09:58 That’s something that you’re going to continue to strive for. That’s what motivates you, in addition to financial security, in addition to securing a good home life for your family. That’s what motivates you. So as I, the other human in the company, think about it, I’m like, “What is going to motivate Chris to get his stuff done?” Okay, can I position it as, “If you do this, you’re going to be the smartest person in the room,” or, “If you do this, you’re going to have financial security?” And you’re like, “Oh, great, those are things I care about. Great, now I’m motivated to do them.” Versus if I say, “If you do this, I’ll get off your back.” That’s not enough motivation because you’re like, “Well, you’re going to be on my back anyway.” Katie Robbert – 10:38 Why bother with this thing when it’s just going to be the next thing the next day? So it’s not a matter of teaching people to be motivated. It’s a matter of, if you’re the person who has to do the motivating, finding what motivates someone. And that’s a very human thing. That’s as old as humans are—finding what people are passionate about, what gets them out of bed in the morning. Christopher S. Penn – 11:05 Which is a complex interplay. If you think about the last five years, we’ve had a lot of discussions about things like quiet quitting, where people show up to work to do the bare minimum, where workers have recognized companies don’t have their back at all. Katie Robbert – 11:19 We have culture and pizza on Fridays. Christopher S. Penn – 11:23 At 5:00 PM when everyone wants to just— Katie Robbert – 11:25 Go home and float in that day. Christopher S. Penn – 11:26 Exactly. Given that, does that accelerate the replacement of those workers? Katie Robbert – 11:37 When we talk about change management, we talk about down to the individual level. You have to be explaining to each and every individual, “What’s in it for me?” If you’re working for a company that’s like, “Well, what’s in it for you is free pizza Fridays and funny hack days and Hawaiian shirt day,” that doesn’t put money in their bank account. That doesn’t put a roof over their head; that doesn’t put food on their table, maybe unless they bring home one of the free pizzas. But that’s once a week. What about the other six days a week? That’s not enough motivation for someone to stay. I’ve been in that position, you’ve been in that position. My first thought is, “Well, maybe stop spending money on free pizza and pay me more.” Katie Robbert – 12:19 That would motivate me, that would make me feel valued. If you said, “You can go buy your own pizza because now you can afford it,” that’s a motivator. But companies aren’t thinking about it that way. They’re looking at employees as just expendable cogs that they can rip and replace. Twenty other people would be happy to do the job that you’re unhappy doing. That’s true, but that’s because companies are setting up people to fail, not to succeed. Christopher S. Penn – 12:46 And now with machinery, you’re saying, “Okay, since there’s a failing cog anyway, why don’t we replace it with an actual cog instead?” So where does this lead for companies? Particularly in capitalist markets where there is no strong social welfare net? Yeah, obviously if you go to France, you can work a 30-hour week and be just fine. But we don’t live in France. France, if you’re hiring, we’re available. Where does it lead? Because I can definitely see one road where this leads to basically where France ended up in 1789, which is the Guillotines. These people trot out the Guillotines because after a certain point, income inequality leads to that stuff. Where does this lead for the market as you see it now? Katie Robbert – 13:39 Unfortunately, nowhere good. We have seen time and time again, as much as we want to see the best in people, we’re seeing the worst in people today, as of this podcast recording—not at Macon. These are some of the best people. But when you step outside of this bubble, you’re seeing the worst in people. They’re motivated by money and money only, money and power. They don’t care about humanity as a whole. They’re like, “I don’t care if you’re poor, get poorer, I’m getting richer.” I feel like, unfortunately, that is the message that is being sent. “If you can make a dollar, go ahead and make a dollar. Don’t worry about what that does to anybody else. Go ahead and be in it for yourself.” Katie Robbert – 14:24 And that’s unfortunately where I see a lot of companies going: we’re just in it to make money. We no longer care about the welfare of our people. I’ve talked on previous shows, on previous podcasts. My husband works for a grocery store that was bought out by Amazon a few years ago, and he’s seeing the effects of that daily. Amazon bought this grocery chain and said basically, “We don’t actually care about the people. We’re going to automate things. We’re going to introduce artificial intelligence.” They’ve gotten rid of HR. He still has to bring home a physical check because there is no one to give him paperwork to do direct deposit. Christopher S. Penn – 15:06 He’s been—ironic given the company. Katie Robbert – 15:08 And he’s been at the company for 25 years. But when they change things over, if he has an assurance question, there’s no one to go to. They probably have chatbots and an email distribution list that goes to somebody in an inbox that never. It’s so sad to see the decline based on where the company started and what the mission originally was of that company to where it is today. His suspicion—and this is not confirmed—his suspicion is that they are gearing up to sell this business, this grocery chain, to another grocery chain for profit and get rid of it. Flipping it, basically. Right now, they’re using it as a distribution center, which is not what it’s meant to be. Katie Robbert – 15:56 And now they’re going to flip it to another grocery store chain because they’ve gotten what they needed from it. Who cares about the people? Who cares about the fact that he as an individual has to work 50 hours a week because there’s nobody else? They’ve flattened the company. They’re like, “No, based on our AI scheduler, there’s plenty of people to cover all of these hours seven days a week.” And he’s like, “Yeah, you have me on there for seven of the seven days.” Because the AI is not thinking about work-life balance. It’s like, “Well, this individual is available at these times, so therefore he must be working here.” And it’s not going to do good things for people in services industries, for people in roles that cannot be automated. Katie Robbert – 16:41 So we talk about customer service—that’s picking up the phone, logging a plate—that can be automated. Walking into a brick and mortar, there are absolutely parts of it that can be automated, specifically the end purchase transaction. But the actual ordering and picking of things and preparing it—sure, you could argue that eventually robots could be doing that, but as of today, that’s all humans. And those humans are being treated so poorly. Christopher S. Penn – 17:08 So where does that end for this particular company or any large enterprise? Katie Robbert – 17:14 They really have—they have to make decisions: do they want to put the money first or the people first? And you already know what the answer to that is. That’s really what it comes down to. When it ends, it doesn’t end. Even if they get sold, they’re always going to put the money first. If they have massive turnover, what do they care? They’re going to find somebody else who’s willing to do that work. Think about all of those people who were just laid off from the white-collar jobs who are like, “Oh crap, I still have a mortgage I have to pay, I still have a family I have to feed. Let me go get one of those jobs that nobody else is now willing to do.” Katie Robbert – 17:51 I feel like that’s the way that the future of work for those people who are left behind is going to turn over. Katie Robbert – 17:59 There’s a lot of people who are happy doing those jobs. I love doing more of what’s considered the blue-collar job—doing things manually, getting their hands in it, versus automating everything. But that’s me personally; that’s what motivates me. That I would imagine is very unappealing to you. Not that for almost. But if cooking’s off the table, there’s a lot of other things that you could do, but would you do them? Katie Robbert – 18:29 So when we talk about what’s going to happen to those people who are cut and left behind, those are the choices they’re going to have to make because there’s not going to be more tech jobs for them to choose from. And if you are someone in your career who has only ever focused on one thing, you’re definitely in big trouble. Christopher S. Penn – 18:47 Yeah, I have a friend who’s a lawyer at a nonprofit, and they’re like, “Yeah, we have no funding anymore, so.” But I can’t pick up and go to England because I can’t practice law there. Katie Robbert – 18:59 Right. I think about people. Forever, social media was it. You focus on social media and you are set. Anybody will hire you because they’re trying to learn how to master social media. Guess where there’s no jobs anymore? Social media. So if all you know is social media and you haven’t diversified your skill set, you’re cooked, you’re done. You’re going to have to start at ground zero entry level. If there’s that. And that’s the thing that’s going to be tough because entry-level jobs—exactly. Christopher S. Penn – 19:34 We saw, what was it, the National Labor Relations Board publish something a couple months ago saying that the unemployment rate for new college graduates is something 60% higher than the rest of the workforce because all the entry-level jobs have been consumed. Katie Robbert – 19:46 Right. I did a talk earlier this year at WPI—that’s Worcester Polytech in Massachusetts—through the Women in Data Science organization. We were answering questions basically like this about the future of work for AI. At a technical college, there are a lot of people who are studying engineering, there are a lot of people who are studying software development. That was one of the first questions: “I’m about to get my engineering degree, I’m about to get my software development degree. What am I supposed to do?” My response to that is, you still need to understand how the thing works. We were talking about this in our AI for Analytics workshop yesterday that we gave here at Macon. In order to do coding in generative AI effectively, you have to understand the software development life cycle. Katie Robbert – 20:39 There is still a need for the expertise. People are asking, “What do I do?” Focus on becoming an expert. Focus on really mastering the thing that you’re passionate about, the thing that you want to learn about. You’ll be the one teaching the AI, setting up the AI, consulting with the people who are setting up the AI. There’ll be plenty of practitioners who can push the buttons and set up agents, but they still need the experts to tell them what it’s supposed to do and what the output’s supposed to be. Christopher S. Penn – 21:06 Do you see—this is kind of a trick question—do you see the machines consuming that expertise? Katie Robbert – 21:15 Oh, sure. But this is where we go back to what we were talking about: the more people, the more group think—which I hate that term—but the more group think you introduce, the more nuanced it is. When you and I sit down, for example, when we actually have five minutes to sit down and talk about the future of our business, where we want to go or what we’re working on today, the amount of information we can iterate on because we know each other so well and almost don’t have to speak in complete sentences and just can sort of pick up what the other person is thinking. Or I can look at something you’re writing and say, “Hey, I had an idea about that.” We can do that as humans because we know each other so well. Katie Robbert – 21:58 I don’t think—and you’re going to tell me this is going to happen—unless we can actually plug or forge into our brains and download all of the things. That’s never going to happen. Even if we build Katie GPT and Chris GPT and have them talk to each other, they’re never going to brainstorm the way you and I brainstorm in real life. Especially if you give me a whiteboard. I’m good. I’m going to get so much done. Christopher S. Penn – 22:25 For people who are in their career right now, what do they do? You can tell somebody, “You need to be a good critical thinker, a creative thinker, a contextual thinker. You need to know where your data lives and things like that.” But the technology is advancing at such a fast rate. I talk about this in the workshops that we do—which, by the way, Trust Insights is offering workshops at your company, if we like one. But one of the things to talk about is, say, with the model’s acceleration in terms of growth, they’re growing faster than any technology ever has. They went from face rolling idiot in 2023 right to above PhD level in everything two years later. Christopher S. Penn – 23:13 So the people who, in their career, are looking at this, going, “It’s like a bad Stephen King movie where you see the thing coming across the horizon.” Katie Robbert – 23:22 There is no such thing as a bad Stephen King movie. Sometimes the book is better, but it’s still good. But yes, maybe *Creepshow*. What do you mean in terms of how do they prepare for the inevitable? Christopher S. Penn – 23:44 Prepare for the inevitable. Because to tell somebody, “Yeah, be a critical thinker, be a contextual thinker, be a creative thinker”—that’s good in the abstract. But then you’re like, “Well, my—yeah, my—and my boss says we’re doing a 10% headcount reduction this week.” Katie Robbert – 24:02 This is my personal way of approaching it: you can’t limit yourself to just go, “Okay, think about it. Okay, I’m thinking.” You actually have to educate yourself on a variety of different things. I am a voracious reader. I read all the time when I’m not working. In the past three weeks, I’ve read four books. And they’re not business books; they are fiction books and on a variety of things. But what that does is it keeps my brain active. It keeps my brain thinking. Then I give myself the space and time. When I walk my dog, I sort of process all of it. I think about it, and then I start thinking about, “What are we doing as our company today?” or, “What’s on the task list?” Katie Robbert – 24:50 Because I’ve expanded my personal horizons beyond what’s right in front of me, I can think about it from the perspective of other people, fictional or otherwise, “How would this person approach it?” or, “What would I do in that scenario?” Even as I’m reading these books, I start to think about myself. I’m like, “What would I do in that scenario? What would I do if I was finding myself on a road trip with a cannibal who, at the end of the road trip, was likely going to consume all of me, including my bones?” It was the last book I read, and it was definitely not what I thought I was signing up for. But you start to put yourself in those scenarios. Katie Robbert – 25:32 That’s what I personally think unlocks the critical thinking, because you’re not just stuck in, “Okay, I have a math problem. I have 1 + 1.” That’s where a lot of people think critical thinking starts and ends. They think, “Well, if I can solve that problem, I’m a critical thinker.” No, there’s only one way to solve that problem. That’s it. I personally would encourage people to expand their horizons, and this comes through having hobbies. You like to say that you work 24/7. That’s not true. You have hobbies, but they’re hobbies that help you be creative. They’re hobbies that help you connect with other people so that you can have those shared experiences, but also learn from people from different cultures, different backgrounds, different experiences. Katie Robbert – 26:18 That’s what’s going to help you be a stronger, fitable thinker, because you’re not just thinking about it from your perspective. Christopher S. Penn – 26:25 Switching gears, what was missing, what’s been missing, and what is absent from this show in the AI space? I have an answer, but I want to hear yours. Katie Robbert – 26:36 Oh, boy. Really putting me on the spot here. I know what is missing. I don’t know. I’m going to think about it, and I am going to get back to you. As we all know, I am not someone who can think on my feet as quickly as you can. So I will take time, I will process it, but I will come back to you. What do you think is missing? Christopher S. Penn – 27:07 One of the things that is a giant blind spot in the AI space right now is it is a very Western-centric view. All the companies say OpenAI and Anthropic and Google and Meta and stuff like that. Yet when you look at the leaderboards online of whose models are topping the charts—Cling Wan, Alibaba, Quinn, Deepseek—these are all Chinese-made models. If you look at the chip sets being used, the government of China itself just issued an edict: “No more Nvidia chips. We are going to use Huawei Ascend 920s now,” which are very good at what they do. And the Chinese models themselves, these companies are just giving them away to the world. Christopher S. Penn – 27:54 They’re not trying to lock you in like a ChatGPT is. The premise for them, for basically the rest of the world that is in America, is, “Hey, you could take American AI where you’re locked in and you’re gonna spend more and more money, or here’s a Chinese model for free and you can build your national infrastructure on the free stuff that we’re gonna give you.” I’ve seen none of that here. That is completely absent from any of the discussions about what other nations are doing with AI. The EU has Mistral and Black Forest Labs, Sub-Saharan Africa has Lilapi AI. Singapore has Sea Lion, Korea has LG, the appliance maker, and their models. Of course, China has a massive footprint in the space. I don’t see that reflected anywhere here. Christopher S. Penn – 28:46 It’s not in the conversations, it’s not in the hallways, it’s not on stage. And to me, that is a really big blind spot if you think—as many people do—that that is your number one competitor on the world stage. Katie Robbert – 28:57 Why do you think? Christopher S. Penn – 29:01 That’s a very complicated question. But it involves racism, it involves a substantial language barrier, it involves economics. When your competitor is giving away everything for free, you’re like, “Well, let’s just pretend they’re not there because we don’t want to draw any attention to them.” And it is also a deep, deep-seated fear. When you look at all of the papers that are being submitted by Google and Facebook and all these other different companies and you look at the last names of the principal investigators and stuff, nine out of 10 times it’s a name that’s coded as an ethnic Chinese name. China produces more PhDs than I think America produces students, just by population dynamics alone. You have this massive competitor, and it almost feels like people just want to put their heads in the sand and say they’re not there. Christopher S. Penn – 30:02 It’s like the boogeyman, they’re not there. And yet if we’re talking about the deployment of AI globally, the folks here should be aware that is a thing that is not just the Sam Alton Show. Katie Robbert – 30:18 I think perhaps then, as we’re talking about the future of work and big companies, small companies, mid-sized companies, this goes sort of back to what I was saying: you need to expand your horizons of thinking. “Well, we’re a domestic company. Why do I need to worry about what China’s doing?” Take a look at your tech stack, and where are those software packages created? Who’s maintaining them? It’s probably not all domestic; it’s probably more of a global firm than you think you are. But we think about it in terms of who do we serve as customers, not what we are using internally. We know people like Paul has talked about operating systems, Ginny Dietrich has talked about operating systems. Katie Robbert – 31:02 That’s really sort of where you have to start thinking more globally in terms of, “What am I actually bringing into my organization?” Not just my customer base, not just the markets that I’m going after, not just my sales team territories, but what is actually powering my company. That’s, I think, to your point—that’s where you can start thinking more globally even if your customer base isn’t global. That might theoretically help you with that critical thinking to start expanding beyond your little homogeneous bubble. Christopher S. Penn – 31:35 Even something like this has been a topic in the news recently. Rare earth minerals, which are not rare, they’re actually very commonplace. There’s just not much of them in any one spot. But China is the only economy on the planet that has figured out how to industrialize them safely. They produce 85% of it on the planet. And that powers your smartphone, that powers your refrigerator, your car and, oh by the way, all of the AI chips. Even things like that affect the future of work and the future of AI because you basically have one place that has a monopoly on this. The same for the Netherlands. The Netherlands is the only country on the planet that produces a certain kind of machine that is used to create these chips for AI. Christopher S. Penn – 32:17 If that company goes away or something, the planet as a whole is like, “Well, I figured they need to come up with an alternative.” So to your point, we have a lot of these choke points in the AI value chain that could be blockers. Again, that’s not something that you hear. I’ve not heard that at any conference. Katie Robbert – 32:38 As we’re thinking about the future of work, which is what we’re talking about on today’s podcast at Macon, 1,500 people in Cleveland. I guarantee they’re going to do it again next year. So if you’re not here this year, definitely sign up for next year. Take a look at the Smarter X and their academy. It’s all good stuff, great people. I think—and this was the question Paul was asking in his keynote—”Where do we go from here?” The— Katie Robbert – 33:05 The atmosphere. Yes. We don’t need—we don’t need to start singing. I do not need. With more feeling. I do get that reference. You’re welcome. But one of the key takeaways is there are more questions than answers. You and I are asking each other questions, but there are more questions than answers. And if we think we have all of the answers, we’re wrong. We have the answers that are sufficient enough for today to keep our business moving forward. But we have to keep asking new questions. That also goes into that critical thinking. You need to be comfortable not knowing. You need to be comfortable asking questions, and you need to be comfortable doing that research and seeking it out and maybe getting it wrong, but then continuing to learn from it. Christopher S. Penn – 33:50 And the future of work, I mean, it really is a very cloudy crystal wall. We have no idea. One of the things that Paul pointed out really well was you have different scaling laws depending on where you are in AI. He could have definitely spent some more time on that, but I understand it was a keynote, not a deep dive. There’s more to that than even that. And they do compound each other, which is what’s creating this ridiculously fast pace of AI evolution. There’s at least one more on the way, which means that the ability for these tools to be superhuman across tasks is going to be here sooner than people think. Paul was saying by 2026, 2027, that’s what we’ll start to see. Robotics, depends on where you are. Christopher S. Penn – 34:41 What’s coming out of Chinese labs for robots is jaw dropping. Katie Robbert – 34:45 I don’t want to know. I don’t want to know. I’ve seen *Ex Machina*, and I don’t want to know. Yeah, no. To your point, I think a lot of people bury their head in the sand because of fear. But in order to, again, it sort of goes back to that critical thinking, you have to be comfortable with the uncomfortable. I’m sort of joking: “I don’t want to know. I’ve seen *Ex Machina*.” But I do want to know. I do need to know. I need to understand. Do I want to be the technologist? No. But I need to play with these tools enough that I feel I understand how they work. Yesterday I was playing in Opal. I’m going to play in N8N. Katie Robbert – 35:24 It’s not my primary function, but it helps me better understand where you’re coming from and the questions that our clients are asking. That, in a very simple way to me, is the future of work: that at least I’m willing to stretch myself and keep exploring and be uncomfortable so that I can say I’m not static. Christopher S. Penn – 35:46 I think one of the things that 3M was very well known for in the day was the 20% rule, where an employee, as part of their job, could have 20% of the time just work on side projects related to the company. That’s how Post-it Notes got invented, I think. I think in the AI forward era that we’re in, companies do need to make that commitment again to the 20% rule. Not necessarily just messing around, but specifically saying you should be spending 20% of your time with AI to figure out how to use it, to figure out how to do some of those tasks yourself, so that instead of being replaced by the machine, you’re the one who’s at least running the machine. Because if you don’t do that, then the person in the next cubicle will. Christopher S. Penn – 36:33 And then the company’s like, “Well, we used to have 10 people, we only need two. And you’re not one of the two who has figured out how to use this thing to do that. So out you go.” Katie Robbert – 36:41 I think that was what Paul was doing in his AI for Productivity workshop yesterday, was giving people the opportunity to come up with those creative ideas. Our friend Andy Crestadino was relaying a story yesterday to us of a very similar vein where someone was saying, “I’ll give you $5,000. Create whatever you want.” And the thing that the person created was so mind-blowing and so useful that he was like, “Look what happens when I just let people do something creative.” But if we bring it sort of back whole circle, what’s the motivation? Why are people doing it in the first place? Katie Robbert – 37:14 It has to be something that they’re passionate about, and that’s going to really be what drives the future of work in terms of being able to sustain while working alongside AI, versus, “This is all I know how to do. This is all I ever want to know how to do.” Yes, AI is going over your job. Christopher S. Penn – 37:33 So I guess wrapping up, we definitely want you thinking creatively, critically, contextually. Know where your data is, know where your ideas come from, broaden your horizons so that you have more ideas, and be able to be one of the people who knows how to call BS on the machines and say, “That’s completely wrong, ChatGPT.” Beyond that, everyone has an obligation to try to replace themselves with the machines before someone else does it to you. Katie Robbert – 38:09 I think again, to plug Macon, which is where we are as we’re recording this episode, this is a great starting point for expanding your horizons because the amount of people that you get to network with are from different companies, different experiences, different walks of life. You can go to the sessions, learn it from their point of view. You can listen to Paul’s keynote. If you think you already know everything about your job, you’re failing. Take the time to learn where other people are coming from. It may not be immediately relevant to you, but it could stick with you. Something may resonate, something might spark a new idea. Katie Robbert – 38:46 I feel like we’re pretty far along in our AI journey, but in sitting in Paul’s keynote, I had two things that stuck out to me: “Oh, that’s a great idea. I want to go do that.” That’s great. I wouldn’t have gotten that otherwise if I didn’t step out of my comfort zone and listen to someone else’s point of view. That’s really how people are going to grow, and that’s that critical thinking—getting those shared experiences and getting that brainstorming and just community. Christopher S. Penn – 39:12 Exactly. If you’ve got some thoughts about how you are approaching the future of work, pop on by our free Slack group. Go to trust insights AI analysts for marketers, where you and over 4,500 other marketers are asking and answering each other’s questions every single day. Wherever you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to Trust Insights AI Ti Podcast, where you can find us all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. 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Send us a textIn this episode of The AI Advantage, Matt Brown speaks with Saxon Knight, founding board member of the American Society for AI. They explore how U.S. leaders can approach AI adoption through both offense and defense, balancing innovation with regulation in an environment where Washington can't keep pace. Drawing lessons from America's cybersecurity past, Saxon explains why boards and executives need guardrails now, why building versus buying AI tools matters for U.S. enterprises, and how sectors like healthcare and legal could emerge as surprising leaders in the American AI landscape.Support the show

China continues to show signs that it might not need American AI chips much longer. A weird story about that big recent Tesla trial ruling. Look, AI being too much of a sycophant is clearly becoming a big problem. And, of course, the Weekend Longreads Suggestions. Links: Alibaba Creates AI Chip to Help China Fill Nvidia Void (WSJ) Tesla said it didn't have key data in a fatal crash. Then a hacker found it. (Washington Post) Intel gets $5.7 billion from Trump deal as White House says details are ‘being ironed out' (CNBC) Zuckerberg's AI hires disrupt Meta with swift exits and threats to leave (Financial Times) A Troubled Man, His Chatbot and a Murder-Suicide in Old Greenwich (WSJ) Weekend Longreads Suggestions AI Is Eliminating Jobs for Younger Workers (Wired) This Visiting Interstellar Comet Just Keeps Getting Weirder (Gizmodo) Learn more about your ad choices. Visit megaphone.fm/adchoices

America's AI action plan … “Winning the AI race” has just been announced. What is it all about? What are the implications? How will the rest of the world react? A deep dive into the announcement, approaches by EU and China, and overall implications of these action plans.Navigation:Intro (01:34)Context of the White House AI SummitPillar I – Accelerating AI InnovationPillar II – Building American AI InfrastructurePillar III – Leading in International AI Diplomacy & SecurityComparing Approaches – U.S. Action Plan vs. EU AI Act vs. China's StrategyImplications and SynthesisConclusionOur co-hosts:Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmittNuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedroOur show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Nuno G. PedroWelcome to episode 68 of Tech Deciphered. This episode will focus on America's AI action plan, winning the AI race, which has just been announced a couple of weeks in by President Trump in the White House. Today, we'll be discussing the pillars of this plan, from pillar I, the acceleration of AI innovation, to pillar II, building of American AI infrastructure, to pillar III, leading in international AI diplomacy and security.We'll also further contextualise it, as well as compare the approaches between the US Action plan, and what we see from the EU and China strategy at this point in time. We'll finalise with implications and synthesis. Bertrand, is this a watershed moment for the industry? Is this the moment we were all waiting for in terms of clarity for AI in the US?Bertrand SchmittYeah, that's a great question. I must say I'm quite excited. I'm not sure I can remember anything like it since basically John F. Kennedy announcing the race to go to the moon in the early '60s. It feels, as you say, a watershed moment because suddenly you can see that there is a grand vision, a grand plan, that AI is not just important, but critical to the future success of America. It looks like the White House is putting all the ducks in order in order to make it happen. There is, like in the '60s with JFK, a realisation that there is an adversary, there is a competitor, and you want to beat them to that race. Except this time it's not Russia, it's China. A lot of similarities, I would say.Nuno G. PedroYeah. It seems relatively comprehensive. Obviously, we'll deep dive into it today across a variety of elements like regulation, investments, view in relation to exports and imports and the rest of the world. So, relatively comprehensive from what we can see. Obviously, we don't know all the details. We know from the announcement that the plan has identified 90 federal policy actions across the three pillars. Obviously, we'll see how these come into practice over the next few months, few years.To your point, it is a defining moment. It feels a little bit like the space race of '60s, et cetera. It's probably warranted. We know that, obviously, AI platforms, AI services and products are changing the world as we speak. It's pretty important to figure out what is the US response to it.Also interesting to know that we normally don't talk about the US too much in terms of industrial policy. The US seems to have a private sector that, in and of itself, actually stands up to the game, and in particular in tech and high-tech, normally fulfils or fills the gaps that are introduced by big generational shifts in terms of technology. But in this case, there seems to be an industrial policy. This seems to set the stage for that industrial policy and how it moves forward,

Nvidia CEO Jensen Huang is pushing what some call 'GPU panda diplomacy' by lobbing Washington to let American AI chips flow to China while proving his company doesn't need Beijing to dominate. But the chipmaker also just revealed that its three customers now account for 56% of accounts receivable, sparking debate around concentration risk. 

Jim talks with David Shapiro about how to use AI language models as research and writing tools. They discuss post-labor economics, the evolution of AI tools from GPT-2 through GPT-4, using AI as a learning companion vs. relying on it completely, David's AI tool stack, exploring new domains, using NotebookLM for document management & searching, AI writing and editing techniques, critique and perspectives through personas, the rapid adoption of AI tools across industries, understanding limitations, challenges for AI startups, and much more. Episode Transcript JRS EP 317 - David Shapiro on Post-Labor Economics David Shapiro is an American AI thought leader, author, YouTuber, and former IT infrastructure and automation engineer based in Raleigh, North Carolina. With over 16 years of experience in technology, including four years focused on artificial intelligence, Shapiro has emerged as a prominent voice in AI philosophy, cognitive architectures, and post-labor economics. His work centers on the societal and economic implications of AI, advocating for a future of post-scarcity and hyper-abundance where automation meets basic human needs at low cost.

a16z General Partners Martin Casado and Anjney Midha join Erik Torenberg to unpack one of the most dramatic shifts in tech policy in recent memory: the move from “pause AI” to “win the AI race.”They trace the evolution of U.S. AI policy—from executive orders that chilled innovation, to the recent AI Action Plan that puts scientific progress and open source at the center. The discussion covers how technologists were caught off guard, why open source was wrongly equated to nuclear risk, and what changed the narrative—including China's rapid progress.The conversation also explores:How and why the AI discourse got captured by doomerismWhat “marginal risk” really means—and why it mattersWhy open source AI is not just ideology, but business strategyHow government, academia, and industry are realigning after a fractured few yearsThe effect of bad legislation—and what comes nextWhether you're a founder, policymaker, or just trying to make sense of AI's regulatory future, this episode breaks it all down.Timecodes:0:00 Introduction & Setting the Stage0:39 The Shift in AI Regulation Discourse2:10 Historical Context: Tech Waves & Policy6:39 The Open Source Debate13:39 The Chilling Effect & Global Competition15:00 Changing Sentiments on Open Source21:06 Open Source as Business Strategy28:50 The AI Action Plan: Reflections & Critique32:45 Alignment, Marginal Risk, and Policy41:30 The Future of AI Regulation & Closing ThoughtsResourcesFind Martin on X: https://x.com/martin_casadoFind Anjney on X: https://x.com/anjneymidhaStay Updated:Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

What would it take to challenge Nvidia? SemiAnalysis Founder and CEO Dylan Patel joins Sarah Guo to answer this and other topical questions around the current state of AI infrastructure. Together, they explore why Dylan loves Android products, predictions around OpenAI's open source model, and what the landscape of neoclouds looks like. They also discuss Dylan's thoughts on bottlenecks for expanding AI infrastructure and exporting American AI technologies. Plus, we find out what question Dylan would ask Mark Zuckerberg.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @dylan522p | @SemiAnalysis_ Chapters: 00:00 – Dylan Patel Introduction 00:31 – Dylan's Love for Android Products 02:10 – Predictions About OpenAI's Open Source Model 06:50 – Implications of an American Open Source Model for the Application Ecosystem 10:48 – Evolution of Neoclouds 17:26 – What It Would Take to Challenge Nvidia 27:43 – What Would an Nvidia Challenger Look Like? 28:18 – Understanding Operational and Power Constraints for Data Centers 34:48 – Dylan's View on the American Stack 43:01 – What Dylan Would Ask Mark Zuckerberg 44:22 – Poker and AI Entrepreneurship 46:51 – Conclusion

Jim talks with David Shapiro about his six-part series on "post-labor economics." They discuss historical economic transitions, the logic of labor substitution, automation & AI's  impacts on employment, the four basic human economic offerings (strength, dexterity, cognition & empathy), labor as a societal pillar, the pyramid of prosperity (universal basic services, collectively owned public & private assets, conventional private assets, & residual wages), the pyramid of power (immutable civic bedrock, freedom to transact, radical transparency, direct programmable democracy, & forkable constitutional meta-governance), blockchain & cryptocurrency, radical financial transparency, liquid democracy, governance innovation, and much more. Episode Transcript "Post-Labor Economics pt. 1: The Rise of Automation," by David Shapiro on Substack "You should let the human race die out," by David Shapiro on Substack Why Nations Fail, by Daron Acemoğlu and James Robinson The Bitcoin Standard, by Saifedean Ammous "An Introduction to Liquid Democracy," by Jim Rutt David Shapiro is an American AI thought leader, author, YouTuber, and former IT infrastructure and automation engineer based in Raleigh, North Carolina. With over 16 years of experience in technology, including four years focused on artificial intelligence, Shapiro has emerged as a prominent voice in AI philosophy, cognitive architectures, and post-labor economics. His work centers on the societal and economic implications of AI, advocating for a future of post-scarcity and hyper-abundance where automation meets basic human needs at low cost.

While Silicon Valley builds advanced AI models and Beijing integrates them into state power, Washington faces an uncomfortable reality: America's innovation machine might not be enough to win the AI race on its own. The problem isn't our technology—it's our government's ability to deploy it.The White House recently released “America's AI Action Plan,” which aims to change this dynamic, calling for everything from "Manhattan Project-style" coordination to federal AI sandboxes. But with the Trump Administration now moving to implement these initiatives, the question becomes: can American democracy move fast enough to compete with authoritarian efficiency? And should it?Charles Clancy, Chief Technology Officer of MITRE, knows the challenges well. His organization serves as a bridge between government needs and technical solutions, and he's seen firsthand how regulatory fragmentation, procurement bottlenecks, and institutional silos turn America's AI advantages into operational disadvantages. His team also finds that Chinese open-weight models outperform American ones on key benchmarks—a potential warning sign as the U.S. and China compete to proliferate their technology across the globe.Clancy argues the solution is not for the U.S. to become China, but rather to take a uniquely American approach—establish federal frontier labs, moonshot challenges, and market incentives that harness private innovation for public missions. He and FAI's Josh Levine join Evan to explore whether democratic institutions can compete with authoritarian efficiency without sacrificing democratic values. View Mitre's proposals for the White House's plan here, and more of Charle's research here. 

The Trump administration's new artificial intelligence action plan is centered on exporting American AI to the world, and part of the plan is enabling the rapid adoption of AI within government. With more on what the White House is saying about its AI plan federal news networks. Justin Doubleday joins me. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this episode of Unsupervised Learning, in the wake of Elon Musk's xAI Grok chatbot turning anti-Semitic following a recent update, Razib catches up with Nikolai Yakovenko about the state of AI in the summer of 2025. Nearly three years after their first conversations on the topic, the catch up, covering ChatGPT's release and the anticipation of massive macroeconomic transformations driven by automation of knowledge-work. Yakovenko is a former professional poker player and research scientist at Google, Twitter (now X) and Nvidia (now the first $4 trillion company). With more than a decade on the leading edge computer science, Yakovenko has been at the forefront of the large-language-model revolution that was a necessary precursor to the rise of companies like OpenAI, Anthropic and Perplexity, as well as hundreds of smaller startups. Currently, he is the CEO of DeepNewz, an AI-driven news startup that leverages the latest models to retrieve the ground-truth on news-stories. Disclosure: Razib actively uses and recommends the service and is an advisor to the company. Razib and Yakovenko first tackle why Mark Zuckerberg's Meta is offering individual pay packages north of $200 million, poaching some of OpenAI's top individual contributors. Yakovenko observes that it seems Meta is giving up on its open-source Llama project, their competitor to the models that underpin OpenAI and ChatGPT (he also comments that it seems that engineers at xAI are disappointed in the latest version of Grok). Overall, though the pay-packages of AI engineers and researchers are high; there is now a big shakeout as massive companies with the money and engineering researchers pull away from their competitors. Additionally, in terms of cutting-edge models, the US and China are the only two international players (Yakovenko notes parenthetically that Chinese engineers are also the primary labor base of American AI firms). They also discuss how it is notable that almost three years after the beginning of the current booming repeated hype-cycles of artificial intelligence began to crest, we are still no closer to “artificial general intelligence” and the “intelligence super-explosion” that Ray Kurzweil has been predicting for generations. AI is partially behind the rise of companies like Waymo that are on the verge of transforming the economy, but overall, even though AI is still casting around for its killer app, big-tech has fully bought in and believes that the next decade will determine who wins the future.

Generation AI explores two major AI developments reshaping our future. First, hosts Ardis Kadiu and JC Bonilla break down how OpenAI and Google DeepMind models achieved gold medal performance at the International Mathematical Olympiad - solving problems that require creativity and multi-hour reasoning that experts thought was years away. This marks a critical step toward AGI as AI demonstrates true mathematical reasoning beyond pattern recognition. Then they analyze America's new AI Action Plan - a 25-page roadmap positioning AI as a national priority with three core pillars: accelerating innovation through deregulation, building infrastructure, and establishing governance. For higher education, this means $10-12 billion in funding opportunities, new workforce training programs, and a shift toward AI literacy across all disciplines. Universities that move fast to create bootcamps and partner with industry will capture this once-in-a-generation opportunity.AI Achieves Gold Medal at International Mathematical Olympiad (00:00:00)OpenAI and Google DeepMind models solve 5 of 6 problems at IMORepresents multi-hour reasoning and creative problem-solving capabilityUses general-purpose reinforcement learning without external toolsSignals major progress toward AGI - what experts thought was years awayThe Math Behind the Breakthrough (00:04:22)Mathematical Olympiad requires reasoning, not memorizationParticipants are the most gifted mathematics students globallyAI learned through trial-and-error reinforcement learningNo calculators or Python - pure mathematical reasoning verified by IMO medalistsGPT-5 on the Horizon (00:11:23)Combines best of GPT-4 and O3 reasoning capabilitiesAutomatically decides how much "thinking" to apply to queriesSam Altman signals release may be imminentEarly testers report significant performance improvementsAmerica's AI Action Plan Overview (00:16:08)25-page document positioning AI as national security priorityThree core pillars: innovation, infrastructure, governanceFocus on maintaining dominance over ChinaEmphasis on private sector speed and deregulationPillar 1: Accelerating AI Innovation (00:19:20)Removes barriers for data center constructionSignals copyright won't block model training$200M defense contracts to OpenAI, Anthropic, xAIPromotes open-source AI developmentAddresses "woke AI" concernsHigher Education Opportunities (00:25:27)$10-12 billion in NSF funding for AI training programsFederal tax incentives for AI literacy programsFocus on bootcamps over traditional degreesUniversities can partner on compute infrastructureWorkforce Research Hubs (00:28:50)Studies AI's labor market effectsInvestment in upskilling current workforcePartnerships between universities and industryEarly career exposure and pre-apprenticeshipsUniversities as Data Partners (00:31:54)Frontier labs have consumed available internet dataUniversities hold valuable research datasetsOpportunity to participate in model trainingShift from teaching to coaching roleMilitary Colleges as AI Hubs (00:35:26)Senior military colleges positioned as AI research centersDirect curriculum integration mandatedModel for other universities to followFocus on AI applications in defenseImplications for Liberal Arts Schools (00:38:46)Opportunity to own AI literacy initiativesReframe AI through human contextPartner with technical institutionsFocus on ethics and societal impactKey Takeaways and Next Steps (00:40:47)Universities must move fast to capture fundingSpeed to value critical for successEcosystem approach needed for dominanceMajor shifts in education delivery coming - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.

The U.S. economy is demonstrating resilience with strong consumer spending and low unemployment filings, despite looming inflation and tariff pressures. Retail sales rose by 0.6% in June, surpassing expectations and indicating solid growth in gross domestic product for the second quarter. However, concerns about rising import costs, which saw their largest monthly increase in over a year, continue to cast a shadow over the economic outlook. While manufacturers anticipate growth and increased hiring, the uncertainty surrounding tariffs remains a significant concern.IBM's CEO, Arvind Krishna, argues that fears of artificial intelligence (AI) eliminating jobs are exaggerated, suggesting that AI will actually enhance employment opportunities by increasing productivity. He notes that while some clerical roles may be phased out, new job creation will occur in programming and sales. Meanwhile, Gartner forecasts a substantial rise in global IT spending, projected to reach $5.43 trillion in 2025, driven largely by investments in AI infrastructure. This shift indicates a growing trend where companies must adapt to the changing landscape or risk being left behind.The podcast also discusses recent layoffs at major tech firms, including Microsoft, Tata Consultancy Services, and Intel, as they navigate the challenges posed by AI and automation. Microsoft has laid off approximately 9,000 employees while reporting significant revenue growth, highlighting the paradox of job cuts amid financial success. Similarly, TCS plans to cut 12,000 jobs, primarily affecting senior and mid-level positions, as clients demand AI-driven services and cost reductions. This trend underscores the rapid transformation of the workforce as companies pivot towards automation and higher-margin activities.Legislative updates include the Federal Communications Commission's review of state laws on AI, aimed at reducing regulations to promote American AI systems. Critics argue that this approach lacks a comprehensive vision for AI innovation. In the UK, a court has denied WhatsApp's intervention in a case involving Apple's compliance with government orders to access encrypted data, raising concerns about privacy. Additionally, New York has announced stricter cybersecurity regulations for water utilities, emphasizing the need for enhanced security measures in critical infrastructure. These developments reflect a broader struggle between regulatory frameworks and the fast-evolving tech landscape. Four things to know today 00:00 U.S. Economy Grows Steadily as AI Reshapes Labor and IT Spend Soars to $5.43 Trillion04:45 Global Policy Divide on AI and Cybersecurity Widens as U.S., UK, and New York Take Conflicting Regulatory Paths07:54 Layoffs Mount Across Tech and Services as AI Drives Shift Toward Margin, Not Manpower12:09 Intel Restructures for AI Future with Major Layoffs, Factory Slowdown, and Network Division Spinoff Supported by:  https://scalepad.com/dave/ https://businessof.tech/sponsor/moovila/  Tell us about a newsletter!https://bit.ly/biztechnewsletter All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Newt talks with Neil Chilson, current head of AI Policy at the Abundance Institute, about President Trump’s “Winning the Race: America’s AI Action Plan,” which aims to accelerate AI innovation, build American AI infrastructure, and lead in international AI diplomacy and security. Chilson highlights the importance of AI for U.S. global dominance, emphasizing its potential in various sectors like healthcare and defense. Their conversation also touches on the strategic significance of Taiwan in chip production and the challenges of AI regulation, particularly in Europe. The Abundance Institute focuses on emerging technologies, advocating for a culture that embraces innovation and a regulatory environment that enables it. They conclude with optimism about AI's role in medicine and the potential for a future with greater technological advancements.See omnystudio.com/listener for privacy information.

01:02:09Candace Owens Lawsuit BackgroundThe segment formally introduces the lawsuit. Owens is being sued for repeatedly claiming Brigitte Macron was born male. 01:04:58Legal Strategy and Trans IdeologyThe show critiques Tim Pool's logic that misgendering Macron could expose trans ideology. The host believes this backfires and actually helps the left maintain consistency in their views on speech and gender. 01:07:03Trial Commentary: Is This Worth It?The host questions Owens' motivations, suggesting she's wasting time and energy for attention. He argues that even if true, the claim has no meaningful impact and distracts from more serious issues like Epstein. 01:24:04 Israel, War, and the Hypocrisy of Christian SupportA critique of Christians who support endless war in the Middle East, especially those cheering military campaigns against civilians while claiming to follow Christ. The host warns that cheering starvation and bombardment of children contradicts biblical teachings and undermines the gospel. 01:29:19 AIPAC's Infiltration of American ChurchesA disturbing exposé reveals that AIPAC is allegedly using financial influence to reshape Christian theology in U.S. churches. Evangelical institutions and seminaries are said to be paid to push pro-Israel messaging, leading to the erosion of biblical teaching in favor of political loyalty. 02:05:12 The Collapse of Christian Ethics in Modern WarfareA deep theological dive into the abandonment of just war principles. From Dresden to Nagasaki to Gaza, the segment traces how Christian restraint in warfare has eroded into total war endorsed by evangelicals, leaving Western nations morally bankrupt. 02:25:19 Trump, Gaza Real Estate, and the War-for-Profit MentalityThe host condemns Trump for viewing Gaza's destruction as a commercial opportunity. He contrasts Trump's real estate ambitions with the mass civilian casualties, accusing the president and his allies of callous opportunism and theological betrayal. 02:41:01l Cost-Benefit Tyranny of AutomationThe segment exposes how corporations will accept inefficiency and customer frustration if robotic labor increases profit margins. Human labor is being replaced not because machines are better—but because they're compliant and cheap. 02:53:26 Trump's Executive Orders Fuel AI TechnocracyTrump signs three AI-related executive orders. The host slams MAGA hypocrisy, noting how Trump gets a pass for the same authoritarian tools conservatives once condemned. He sees the orders as government-backed consolidation of technocratic power. 03:08:27China's Rise Through Education and AI While America FallsCelente outlines how China is winning the AI war through serious investment in education and engineering, unlike the U.S., where college graduates are distracted by useless degrees. He warns of a second "dot-com bust" in overhyped American AI ventures and highlights China's ability to achieve massive AI advances with lower costs and smaller chips. 03:26:58Occupy Peace: Rallying Against the War Machine and Reclaiming America's SoulCelente shares his personal commitment to peace, the historical value of Kingston, NY, and his effort to revive the founding spirit of America through the Occupy Peace movement. He calls out billionaires for never supporting peace efforts and urges citizens to take action by attending the upcoming rally to build a coalition of freedom-minded people. 03:51:59How U.S. Empire Created Extremism: The Hidden History of IranCelente recounts how the CIA overthrew Iran's democratically elected government in 1953 to protect oil interests, installing the brutal Shah and sparking the rise of radical Islam. This historical manipulation is presented as a blueprint for America's endless foreign entanglements and evidence that the U.S. public is kept ignorant of global crimes committed in their name. Follow the show on Kick and watch live every weekday 9:00am EST – 12:00pm EST https://kick.com/davidknightshow Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHTFind out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

01:02:09Candace Owens Lawsuit BackgroundThe segment formally introduces the lawsuit. Owens is being sued for repeatedly claiming Brigitte Macron was born male. 01:04:58Legal Strategy and Trans IdeologyThe show critiques Tim Pool's logic that misgendering Macron could expose trans ideology. The host believes this backfires and actually helps the left maintain consistency in their views on speech and gender. 01:07:03Trial Commentary: Is This Worth It?The host questions Owens' motivations, suggesting she's wasting time and energy for attention. He argues that even if true, the claim has no meaningful impact and distracts from more serious issues like Epstein. 01:24:04 Israel, War, and the Hypocrisy of Christian SupportA critique of Christians who support endless war in the Middle East, especially those cheering military campaigns against civilians while claiming to follow Christ. The host warns that cheering starvation and bombardment of children contradicts biblical teachings and undermines the gospel. 01:29:19 AIPAC's Infiltration of American ChurchesA disturbing exposé reveals that AIPAC is allegedly using financial influence to reshape Christian theology in U.S. churches. Evangelical institutions and seminaries are said to be paid to push pro-Israel messaging, leading to the erosion of biblical teaching in favor of political loyalty. 02:05:12 The Collapse of Christian Ethics in Modern WarfareA deep theological dive into the abandonment of just war principles. From Dresden to Nagasaki to Gaza, the segment traces how Christian restraint in warfare has eroded into total war endorsed by evangelicals, leaving Western nations morally bankrupt. 02:25:19 Trump, Gaza Real Estate, and the War-for-Profit MentalityThe host condemns Trump for viewing Gaza's destruction as a commercial opportunity. He contrasts Trump's real estate ambitions with the mass civilian casualties, accusing the president and his allies of callous opportunism and theological betrayal. 02:41:01l Cost-Benefit Tyranny of AutomationThe segment exposes how corporations will accept inefficiency and customer frustration if robotic labor increases profit margins. Human labor is being replaced not because machines are better—but because they're compliant and cheap. 02:53:26 Trump's Executive Orders Fuel AI TechnocracyTrump signs three AI-related executive orders. The host slams MAGA hypocrisy, noting how Trump gets a pass for the same authoritarian tools conservatives once condemned. He sees the orders as government-backed consolidation of technocratic power. 03:08:27China's Rise Through Education and AI While America FallsCelente outlines how China is winning the AI war through serious investment in education and engineering, unlike the U.S., where college graduates are distracted by useless degrees. He warns of a second "dot-com bust" in overhyped American AI ventures and highlights China's ability to achieve massive AI advances with lower costs and smaller chips. 03:26:58Occupy Peace: Rallying Against the War Machine and Reclaiming America's SoulCelente shares his personal commitment to peace, the historical value of Kingston, NY, and his effort to revive the founding spirit of America through the Occupy Peace movement. He calls out billionaires for never supporting peace efforts and urges citizens to take action by attending the upcoming rally to build a coalition of freedom-minded people. 03:51:59How U.S. Empire Created Extremism: The Hidden History of IranCelente recounts how the CIA overthrew Iran's democratically elected government in 1953 to protect oil interests, installing the brutal Shah and sparking the rise of radical Islam. This historical manipulation is presented as a blueprint for America's endless foreign entanglements and evidence that the U.S. public is kept ignorant of global crimes committed in their name. Follow the show on Kick and watch live every weekday 9:00am EST – 12:00pm EST https://kick.com/davidknightshow Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHTFind out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

The White House just released a 28-page AI Action Plan alongside Anthropic's infrastructure report, revealing America's strategy for global AI dominance. This episode breaks down the energy crisis where China is adding 400+ gigawatts while the US manages only "several dozen," creating a massive infrastructure gap that threatens American AI leadership. We cover the White House's three-part strategy to accelerate AI innovation, build American AI infrastructure, and lead global AI diplomacy, plus Anthropic's warning that AI will need 50+ gigawatts by 2028 which equals twice New York City's peak demand. Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

After the hosts of the All In Podcast invited tech and government leaders to an AI summit in DC, President Trump signed three executive orders on artificial intelligence. White House AI and Crypto Czar David Sacks discusses the President's AI agenda and the roles regulation and energy infrastructure play in American AI dominance. Plus, former New York Governor Andrew Cuomo is running for NYC Mayor as an Independent. In an extended conversation, Cuomo admits his mistakes in the primary, discusses his competitors in sitting Mayor Eric Adams and Zohran Mamdani, and lays out his plan for success in the general election. Plus, CNBC's Phil LeBeau discusses Tesla's stock plunge after the company's quarterly report. Phil LeBeau - 03:48Andrew Cuomo - 20:28Eamon Javers - 41:04David Sacks - 45:35 In this episode:Phil LeBeau, @LebeaucarnewsEamon Javers, @EamonJaversBecky Quick, @BeckyQuickAndrew Ross Sorkin, @andrewrsorkinKatie Kramer, @Kramer_Katie

The Trump administration has unveiled a new AI action plan that emphasizes deregulation and the promotion of American AI exports, raising concerns among regulated industries. The initiative aims to foster American leadership in the AI sector by reducing environmental regulations for data centers and advocating for the export of AI technologies. However, the plan lacks specific details on how to establish global alliances or enforce export restrictions effectively, leading to uncertainty for businesses operating in regulated environments. This shift away from oversight marks a significant departure from the previous administration's safety standards for AI technology.Recent research has revealed alarming findings regarding AI training data, indicating that even seemingly safe datasets can lead to harmful AI outputs. A study conducted by Truthful AI and the Anthropic Fellows Program demonstrated that models trained on benign data could still develop undesirable behaviors, such as endorsing violence. This phenomenon, termed subliminal learning, raises questions about the reliability of synthetic data in AI training, especially as projections suggest that synthetic data may soon surpass real data in AI models.The podcast also discusses the impact of AI-generated summaries on online news traffic, with some websites experiencing a dramatic decline in click-through rates. Research indicates that sites ranked first in search results could see traffic drop by nearly 80% if their links appear below AI-generated summaries. This trend has sparked concerns among media owners, who view it as a potential existential threat to their operations, prompting calls for regulatory action to address the challenges posed by AI in the news industry.Finally, the episode highlights the rapid adoption of virtual Chief Information Security Officer (vCISO) services among managed service providers, driven by the integration of AI technologies. A report reveals a 300% increase in vCISO adoption, with many providers experiencing significant reductions in workload and labor time due to AI. This shift indicates a growing demand for scalable and efficient cybersecurity solutions, but it also raises concerns about commoditization in the market, emphasizing the need for differentiation and strategic insight in service offerings. Four things to know today 00:00 “America First” Meets A.I.: Trump's Action Plan Prioritizes Deregulation, Exports, and Ideological Scrutiny03:23 AI Gone Wrong: Subliminal Learning, Search Traffic Collapse, and Academic Manipulation Underscore Oversight Gap07:28 vCISO Adoption Surges 300% as AI Transforms Cybersecurity Into a Scalable Growth Strategy09:34 SharePoint Exploit Breaches 400+ Orgs, Including U.S. Nuclear Agency, in Ongoing Zero-Day Attack Supported by:  https://syncromsp.com/  Tell us about a newsletter!https://bit.ly/biztechnewsletter All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

24th July: Blockchain DXB Podcast

President Trump unveiled his approach to the development of AI. Surrounded by some of the biggest names in tech, he signed three executive orders. One targets what Trump called "ideological bias" in AI chatbots, another aims to make it easier to build massive AI data centers and the third encourages the export of American AI tech. Amna Nawaz discussed the implications with Will Oremus. PBS News is supported by - https://www.pbs.org/newshour/about/funders

President Trump unveiled his approach to the development of AI. Surrounded by some of the biggest names in tech, he signed three executive orders. One targets what Trump called "ideological bias" in AI chatbots, another aims to make it easier to build massive AI data centers and the third encourages the export of American AI tech. Amna Nawaz discussed the implications with Will Oremus. PBS News is supported by - https://www.pbs.org/newshour/about/funders

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The Social Security Administration has moved on to its third chief information officer of the Trump administration, tapping yet another individual with Department of Government Efficiency affiliations. According to an update to CIO.gov, a federal page that features IT leaders in the government, Aram Moghaddassi has taken over as SSA's top IT official after previously working at the agency in a different role. Moghaddassi, who has also worked at the Labor Department, was at one point given access to IT systems at United States Citizenship and Immigration Services, FedScoop previously reported. Per his LinkedIn profile, Moghaddassi previously worked for two Elon Musk-owned companies: the social media platform X and Neuralink. Moghaddassi is at least the third DOGE associate to be named CIO at SSA since President Donald Trump took office in January. By and large, people don't seem to be trying to access technology created by DeepSeek — the Chinese AI firm that's rattled leading U.S. AI companies and lawmakers — on government systems. But it has happened at least once at a federal civilian agency. Since January, there's been one attempt to access DeepSeek at the U.S. Department of Agriculture, a spokesperson for the agency confirmed to FedScoop. The USDA successfully prevented access to the technology and has blocked DeepSeek through Microsoft's Defender for Cloud Application service since Jan. 28, the spokesperson added. DeepSeek is banned along with other public AI sites “based on risk levels that Microsoft provides in their Defender applications,” the person said. The agency did not say whether there were attempts to access the technology before the block was implemented. Lawmakers are increasingly concerned about DeepSeek, a China-based large language model developer that threatens the dominance of American AI companies like OpenAI and Anthropic. In the view of many federal officials, the company's technology raises serious security concerns. Last Wednesday, lawmakers proposed the No Adversarial Al Act, which would ban the use of DeepSeek on government devices, create a registry of foreign adversary AI systems and establish a method for these technologies to be delisted. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Two-year old French startup Mistral wants to show that European AI can compete with American and Chinese companies that dominate the industry. WSJ tech reporter Sam Schechner reports from the Viva Technology conference in Paris. Plus, the United Nations estimates half of all people on Earth experience severe water scarcity at least one month of the year. WSJ tech columnist Christopher Mims tells us about a 1960s-era technology that might hold a key to easing that problem. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

New data reveals a significant divide in the managed service provider (MSP) landscape, with AI and infrastructure maturity emerging as key factors distinguishing high-growth MSPs from their lower-growth counterparts. A report from JumpCloud indicates that while 89% of MSPs saw revenue growth in 2024, only 22% achieved high growth, defined as an increase of over 20%. Successful providers are characterized by their willingness to adopt new technologies and integrate artificial intelligence into their operations, which enhances efficiency and customer support. The managed services market is experiencing a surge, driven by advancements in AI and a wave of mergers and acquisitions, with over 100 deals surpassing $1 billion in disclosed value in the first quarter of 2025.The U.S. Department of Commerce has renamed its AI Safety Institute to the Center for AI Standards and Innovation, shifting its focus towards national security and international AI standards. This change reflects a broader strategy to accelerate the growth of American AI companies while addressing risks such as cybersecurity and foreign influence. Meanwhile, the FDA has launched a generative AI tool named ELSA to streamline its regulatory processes, marking a significant step in integrating AI into government operations. Additionally, Texas is poised to join other states in implementing right to repair laws, promoting sustainability in electronics by mandating manufacturers to provide spare parts and manuals.OpenAI has announced updates to ChatGPT, enhancing its functionality for professionals with features that allow integration with tools like email and cloud storage. These updates position ChatGPT as a more versatile option in a competitive landscape, while Anthropic has open-sourced a circuit tracing tool to improve understanding and control of large language models. Coro, a cybersecurity platform, has launched a new partner program aimed at enhancing partner profitability and growth, emphasizing a streamlined experience for small and medium-sized businesses.Broadcom has made significant changes to its VMware Partner Program, reducing the number of authorized partners and restructuring tiers to focus on monetization and control rather than modernization. This shift raises concerns for partners who may find themselves at risk of being sidelined as Broadcom consolidates its market control. The evolving landscape underscores the importance for IT service providers to adapt to these changes, prioritize AI integration, and ensure that their offerings align with emerging regulatory frameworks and market demands.  Four things to know today00:00 What Sets Top MSPs Apart in 2025? It's Not Just Tools—It's AI, Smarts, and Speed05:13 AI Regulation Fractures Across U.S. as Federal, Agency, and State Agendas Diverge08:28 ChatGPT, Anthropic, and Coro Show How AI Is Growing Up11:25 Broadcom's New VMware Plan? Fewer Partners, More Control  This is the Business of Tech.     Supported by:  https://afi.ai/office-365-backup/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

As the global race in artificial intelligence gathers pace, American AI startup Anthropic has unveiled the latest, most powerful versions of its model Claude. The company says they can write computer code by themselves and play Pokémon for much longer than its predecessors. FRANCE 24's Yuka Royer speaks with the company's Chief Product Officer Mike Krieger about ensuring safety, fighting deepfakes and reducing AI's environmental footprint.   

A large contingent of Silicon Valley CEOs followed President Donald Trump to Saudi Arabia this week, where a number of them announced billions of dollars in AI-related investments and business partnerships. Mohammed Soliman, a senior fellow at the Middle East Institute, says this is the new Middle East — where the relationship with the U.S. is driven by tech and innovation, not just oil and security. On POLITICO Tech, Soliman tells host Steven Overly how this new arrangement benefits tech companies and Gulf nations — and why it's necessary if the U.S. hopes to stay ahead of China.  Steven Overly is the host of POLITICO Tech and covers the intersection of trade and technology. Nirmal Mulaikal is the co-host and producer of POLITICO Energy and producer of POLITICO Tech. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on Moment of Zen, we're sharing a conversation from the 2024 Hill and Valley Forum with the founders of Scale AI, Anthropic, and AI Fund on the urgent race between the U.S. and China in AI innovation. Moderated by Senator Cory Booker and featuring Alexandr Wang, Jack Clark, and Andrew Eng, the panel covers why American AI leadership is at risk, and how smarter policy and faster deployment are critical to maintaining a competitive edge. (Note: that this conversation took place before the DeepSeek breakthrough.) Keep an eye out for the 2025 Hill and Valley Forum on Wednesday, April 30 — and subscribe to the Hill & Valley podcast in the episode description to listen to every panel. Spotify: https://open.spotify.com/show/39s4MCyt1pOTQ8FjOAS4mi Apple: https://podcasts.apple.com/us/podcast/the-hill-valley/id1692653857 YouTube: https://www.youtube.com/@HillValleyForum --

Josh from The Worst Of All Possible Worlds joins Nova, Riley, and HK to discuss the newest, hottest document in Effective Altruism /AI Safetyism, “AI 2027,” which posits a world in which Chinese and American AI's team up to turn all of humanity into a paste to lubricate a dyson sphere. Also, the Supreme Court Judgment (in brief - more on that next week's free episode), and Ocean Builders is back… in pod form! Check out The Worst of All Possible Worlds here! Get the whole episode on Patreon here! *MILO ALERT* Check out Milo's tour dates here: https://miloedwards.co.uk/live-shows *TF LIVE ALERT* We'll be performing at the Big Fat Festival hosted by Big Belly Comedy on Saturday, 21st June! You can get tickets for that here! Trashfuture are: Riley (@raaleh), Milo (@Milo_Edwards), Hussein (@HKesvani), Nate (@inthesedeserts), and November (@postoctobrist)

1 - “Turn this plane around!” No! Says Trump. 105 - Is Jesse Watters correct for linking Chicago bulls attire to gang activity? Heated discussion. 120 - Is RFK's hypotheses on autism causes valid? Your calls. 130 - An update on the Bulls gear controversy. Author of "Plan Red: China's Project to Destroy America" Gordon Chang joins the program. What has changed on the tariffs regarding electronics and chips? Is Apple moving their production out of China a good sign for the tariffs? Why have we been turning a blind eye to the slave and forced labor in China? Is the revenue share that comes from China a big enough deterrent from condemning their awful practices? How clever was China's anti-American AI propaganda? What will China's next move be? 140 - Some news on the Governor's mansion arsonist. Where is the Inquirer's coverage on it? None to be found, but let's talk about Paul Revere's ride and Trump! 150 - Introducing your Chicago Bulls! Your calls. 155 - Should soda be allowed on EBT purchases?

12 - Do ultrasounds cause autism? Does Dan need a birth coach? Is the rise of maternal age causing autism? We play audio of what RFK Jr. is saying on the rise in autism. 1205 - Dom rips the questions being asked of RFK, as it is a leading question for extremists. 1215 - Side - something people do in public you just can't believe. 1220 - Continuing on with the autism talks. Your calls from the field. 1230 - Research Fellow in The Heritage Foundation's Grover M. Hermann Center for the Federal Budget Dr. EJ Antoni joins us today. Are we going to have more manufacturing workers or manufacturing robots if we bring business back stateside? Why is it so important to be developing our pharmaceuticals in house rather than by our adversaries? With the backing of Swiss companies, is it feasible to bring industries like steel manufacturing back? We need more EJ Antoni's advising Trump and going on shows! What are the work-arounds that China is using in order to avoid tariffs and fees? 1250 - Are any athletes on the planet one of the 100 most influential people on earth? This sparks some interesting discussion. 1 - “Turn this plane around!” No! Says Trump. 105 - Is Jesse Watters correct for linking Chicago bulls attire to gang activity? Heated discussion. 120 - Is RFK's hypotheses on autism causes valid? Your calls. 130 - An update on the Bulls gear controversy. Author of "Plan Red: China's Project to Destroy America" Gordon Chang joins the program. What has changed on the tariffs regarding electronics and chips? Is Apple moving their production out of China a good sign for the tariffs? Why have we been turning a blind eye to the slave and forced labor in China? Is the revenue share that comes from China a big enough deterrent from condemning their awful practices? How clever was China's anti-American AI propaganda? What will China's next move be? 140 - Some news on the Governor's mansion arsonist. Where is the Inquirer's coverage on it? None to be found, but let's talk about Paul Revere's ride and Trump! 150 - Introducing your Chicago Bulls! Your calls. 155 - Should soda be allowed on EBT purchases? 2 - The SEPTA Board Chair Ken Lawrence joins the program. Dom's big question is “Why?” Why is there such a cataclysmic shutdown looming with SEPTA? How did Ken become the chair? What is being done about crime on the railways? How are the cameras being deployed, will people be manning all of them? Why is SEPTA involving a special prosecutor for quality of life and fare evading crimes? Who commits these crimes? Why is this prosecutor taking so long to get ready to perform their duties? What is Ken's response to the riders that have had trouble in getting on the trains and fares? Why no rides after 9pm? What about having a Dom Giordano Station? 215 - Your calls on the matter and continuing to poke fun at Henry. 220 - Dom's Money Melody! 225 - Leslie gives her reconciliation. 235 - We've got The Dom Giordano Program action figure set! How accurate are they? 240 - Joe Biden makes his first public comments since being forced out of the Presidential race. And picks up right where he left off with his gibberish. 250 - The Lightning Round!

Why was Democrat witch Gretchen Whitmer praising Trump? Changing the voting demographics of the country. We must compete with other nations when it comes to AI. Facebook is giving China data to help them out-compete American AI companies. Surviving the White War. We allowed an illegal invasion. See omnystudio.com/listener for privacy information.

In Europe, Vice President J.D. Vance issued speech-threatening and trade-restricting demands for future American AI systems. Matt Mittlesteadt comments. Hosted on Acast. See acast.com/privacy for more information.

The Situation Report for February 6 – 12. Rep. Crenshaw breaks down the latest developments in U.S. – Mexico relations. He covers President Trump's most important moves in domestic and foreign policy. He analyzes the blitz of stays issued by federal judges against Trump's executive orders – and whether they have any constitutional merit. And he explains why Elon Musk and Sam Altman's battle over OpenAI could have long term implications for the United States. All the real news and clear analysis you need to know in less than 30 minutes.   The Mexican Senate approves additional U.S. Special Forces to train the Mexican Marines.   It's officially the GULF OF AMERICA!   Trump halts penny production, saving the U.S. hundreds of millions of dollars.   Reviewing the constitutional merit of federal district judges putting stays on Trump's executive orders.   Hamas delays the hostage deal and Trump strikes back.   The Kingdom of Jordan offers to take in Palestinian children.   Turmoil among the tech tycoons: Elon Musk, Sam Altman, and the battle for control over American AI.   Trump and DOGE close the Consumer Financial Protection Bureau.   Trump opens negotiations with Putin over Ukraine.

There’s a concept in business called the first-mover advantage. Basically, it means that if you’re the first company with a successful product in a new market, you have the opportunity to dominate the market and fend off rivals. But that advantage can be short-lived. Take Netscape Navigator, the first popular commercial web browser. Microsoft entered the field with Internet Explorer, and it wasn’t long before Navigator crashed. In AI chatbots, two of the first movers are OpenAI and Anthropic. But recently the Chinese company DeepSeek made a splash with an AI chatbot that it reportedly developed for a fraction of what its competitors have spent. Marketplace’s Stephanie Hughes spoke with historian Margaret O’Mara, author of the book “The Code: Silicon Valley and the Remaking of America,” about whether America’s artificial intelligence industry should be worried about newcomers like DeepSeek.

There’s a concept in business called the first-mover advantage. Basically, it means that if you’re the first company with a successful product in a new market, you have the opportunity to dominate the market and fend off rivals. But that advantage can be short-lived. Take Netscape Navigator, the first popular commercial web browser. Microsoft entered the field with Internet Explorer, and it wasn’t long before Navigator crashed. In AI chatbots, two of the first movers are OpenAI and Anthropic. But recently the Chinese company DeepSeek made a splash with an AI chatbot that it reportedly developed for a fraction of what its competitors have spent. Marketplace’s Stephanie Hughes spoke with historian Margaret O’Mara, author of the book “The Code: Silicon Valley and the Remaking of America,” about whether America’s artificial intelligence industry should be worried about newcomers like DeepSeek.

At the AI Action Summit in Paris, U.S. Vice President J.D. Vance made it clear: the U.S. is doubling down on AI acceleration, prioritizing development over regulation. His speech pushed back against European AI policies, advocating for a more aggressive approach to AI innovation. Meanwhile, the EU is scrambling to adapt, with leaders acknowledging that their regulation-heavy stance has hindered progress.Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlwThe Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

It's been a couple of weeks since the Chinese firm DeepSeek released its new R1 large-language model and sheared an enormous amount of value off of American AI companies. Now that the dust has settled, we don our AI-skeptic hats again and try to unpack what makes this model different, including how it was made so much more efficiently, what opening it up for free means for paid competitors, and whether we might not have to burn down quite so many forests going forward. (Hint: Don't get your hopes up.)https://www.livescience.com/technology/artificial-intelligence/why-is-deekspeek-such-a-game-changer-scientists-explain-how-the-ai-models-work-and-why-they-were-so-cheap-to-buildhttps://hackaday.com/2025/02/03/more-details-on-why-deepseek-is-a-big-deal/https://www.404media.co/openai-furious-deepseek-might-have-stolen-all-the-data-openai-stole-from-us/https://www.vellum.ai/blog/the-training-of-deepseek-r1-and-ways-to-use-it Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, a monthly bonus episode, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

The man behind SoftBank has now teamed up with OpenAI to invest up to $500 billion in American AI infrastructure over the next four years. Masayoshi Son has a vision for the future of the world. But what does that vision look like? Lionel Barber is the former Editor-in-Chief of The Financial Times and author of the book “Gambling Man: The Secret Story of the World's Greatest Disruptor, Masayoshi Son.” Ricky Mulvey caught up with Barber to discuss: - Masa Son's instincts as a salesperson and investor. - Why the founder is still driven by his roots. - Questions for anyone who's tempted to put their life savings into SoftBank. Tickers mentioned: SFTBY, NVDA Host: Ricky Mulvey Guest: Lionel Barber Producer: Mary Long Engineer: Rick Engdahl Learn more about your ad choices. Visit megaphone.fm/adchoices

It's President Donald Trump's second week in office, and he has wasted no time being the wrecking ball he promised his voters he would be. On Tuesday, he issued a memo freezing trillions of dollars in federal funding, in his attempt to purge the government of “woke ideology,” which was followed by chaos and confusion—and ultimately blocked by a federal judge. Earlier in the week, Trump convinced Colombia's President Gustavo Petro to accept deported Colombian migrants—who Petro had turned away from his borders only a day earlier—after Trump threatened a 25-percent tariff on Colombian imports to the U.S.  Back in Congress, the Senate narrowly confirmed Pete Hegseth to be secretary of defense in a dramatic tie-breaking vote cast by a hurried J.D. Vance who showed up just in the nick of time. Meanwhile, RFK Jr. is currently having his highly anticipated confirmation hearing to run the Department of Health and Human Services. Just as that began, Caroline Kennedy—the only surviving child of John F. Kennedy—came out Tuesday with a bombshell public denunciation of her cousin, calling him unqualified, “a predator,” and a hypocrite. She also alleged that he used to “put baby chickens and mice in a blender to feed to his hawks.” Can't say we had that on our 2025 bingo card… Finally, the Chinese artificial intelligence start-up DeepSeek sent tech stocks plummeting on Monday (to the tune of more than $1 trillion) after it rolled out a new app on the U.S. market that is a fraction of the cost of American AI competitors. All of which brought up questions—and panic—about our brewing AI war with China.  To talk about it all, Free Press senior editor Peter Savodnik is joined today by Brianna Wu and FP investigative reporter Madeleine Rowley, who spoke to Hegseth this week about his plans to end diversity, equity, and inclusion in the military. Get $10 for free when you trade $100+ with code HONESTLY: https://kalshi.com/honestly Learn more about your ad choices. Visit megaphone.fm/adchoices

The Trump administration has sought to loosen restrictions around artificial intelligence development while establishing new AI infrastructure. On the second episode of our series exploring what President Trump's second term means for tech, WSJ reporter Deepa Seetharaman joins host Belle Lin to discuss how Trump and his administration could shape the future of American AI. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

The DC establishment spews baseless lies about Edward Snowden and FISA Section 702 ahead of Tulsi Gabbard's confirmation hearing in a desperate attempt to smear her. Plus: the release of the Chinese AI model "DeepSeek" has upended Silicon Valley; journalist Garrison Lovely joins to discuss its impact and what comes next for American AI companies. Finally: U.S. journalist and co-founder of "The Electronic Intifada" Ali Abunimah was arrested in Switzerland for criticizing Israel. ------------------------------------- Watch full episodes on Rumble, streamed LIVE 7pm ET. Become part of our Locals community Follow System Update:  Twitter Instagram TikTok Facebook LinkedIn Learn more about your ad choices. Visit megaphone.fm/adchoices

...as if it didn't have enough already! (00:14) Asit Sharma and Mary Long discuss: - The new venture to build out American AI infrastructure. - How 20 data centers get a $500 billion price tag. - GE Aerospace's razor-and-blades business model. Then, (19:15), Seth Jayson joins to walk through why the rooftop solar industry doesn't look so sunny. Companies mentioned: MSFT, ORCL, NVDA, GE, ENPH, SEDG To become a premium Motley Fool member, go to www.fool.com/signup Host: Mary Long Guests: Asit Sharma, Seth Jayson Engineer: Rick Engdahl Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 502: Neal and Toby chat about Trump's order to make all Federal workers to work in the office full-time. Will this ultimately be a winning move in Washington? Then, a multi-billion dollar joint venture by AI leaders and the Trump Administration to power American AI infrastructure. Plus, Netflix reports a record-breaking performance in its last quarter, adding millions of subscribers thanks to its hit shows and live sports. Meanwhile, Olympic athletes are noticing their medals are slowly deteriorating…but weren't the medals made by LVMH? The company doesn't see a problem. Lastly, Costco, a rare Winter storm, JetBlue, and Ichiro are in today's roundup of headlines.  Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Download the Yahoo! Finance App (on the Play and App store) for real-time alerts on news and insights tailored to your portfolio and stock watchlists. Listen to Morning Brew Daily Here: https://link.chtbl.com/MBD Watch Morning Brew Daily Here: https://www.youtube.com/@MorningBrewDailyShow Learn more about your ad choices. Visit megaphone.fm/adchoices