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"The average accretion was 180 basis points, that's significant" Franklin Templeton's Chris Galipeau on companies starting to quantify what AI does to margins "In Q2 there were two dozen S&P component companies that specifically quantified their EBIT margin accretion from using AI, and I think the average accretion was... show more

The Wolf Of All Streets

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18,449 views • 6 days ago •via X (Twitter)

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"If you're not using Walmart's AI agent and I am, I will spend 35% more" Franklin Templeton's Chris Galipeau on the Walmart data showing what AI agents do to consumer spending "Walmart on their earnings call talked about the use of AI by Walmart customers in the store. You can fact check me on this, go back and read the transcript" "What Walmart told us was, if Scott is on the floor in a Walmart store and he is not using Walmart's AI agent in their app, and I'm on the floor at the same time and I am using the AI tool on Walmart's app, I will spend 35% more relative to what Scott will spend, because that AI agent is directing me. You just bought these sneakers on aisle six, and you might like these shorts, or whatever the case is" "We're going to hear a lot more of that. I think it's early innings there"

"If you're not using Walmart's AI agent and I am, I will spend 35% more" Franklin Templeton's Chris Galipeau on the Walmart data showing what AI agents do to consumer spending "Walmart on their earnings call talked about the use of AI by Walmart customers in the store. You can fact check me on this, go back and read the transcript" "What Walmart told us was, if Scott is on the floor in a Walmart store and he is not using Walmart's AI agent in their app, and I'm on the floor at the same time and I am using the AI tool on Walmart's app, I will spend 35% more relative to what Scott will spend, because that AI agent is directing me. You just bought these sneakers on aisle six, and you might like these shorts, or whatever the case is" "We're going to hear a lot more of that. I think it's early innings there"

The Wolf Of All Streets

23,622 views • 6 days ago

I can't find a sector of the economy that isn't using AI now. Every single sector, including all the small companies I invest in, is using an AI app and is spending more on AI applications than they did 18 months ago. It's a productivity tool and a margin enhancer. So this idea that it's a bubble in the sense that all these companies don't have earnings yet, it's a race to see who's gonna deliver the prize and I bet on all of them.

I can't find a sector of the economy that isn't using AI now. Every single sector, including all the small companies I invest in, is using an AI app and is spending more on AI applications than they did 18 months ago. It's a productivity tool and a margin enhancer. So this idea that it's a bubble in the sense that all these companies don't have earnings yet, it's a race to see who's gonna deliver the prize and I bet on all of them.

Kevin O'Leary aka Mr. Wonderful

13,596 views • 10 months ago

Billionaire Marc Andreessen describes a “horrifying” meeting with the Biden Administration that convinced him he had to endorse Donald Trump 🚨 Biden Admin was going to control AI, only allow 3 companies to create AI, crush all competitor companies then classify the physics needed to run AI models “Meetings in DC in May where we talked to them about this, and the meetings were absolutely horrifying” Reporter “What did you hear in those meetings?” “AI is a technology, basically, that the government is gonna completely control. — Don't fund AI startups. That's not something that we're gonna allow to happen. Um, they’re not gonna be allowed to exist.” “They basically said AI is gonna be a a game of 2 or 3 big companies working closely with the government, and we're gonna basically wrap them in a you know, they I'm paraphrasing, but we're gonna basically wrap them in a government cocoon.” “We're gonna protect them from competition. We're gonna control them, um, and we’re gonna dictate what they do.” He then talks about the Biden Admins plan to clarify and withhold the technology being used This really is horrifying. Just imagine everything else they’re doing this with

Billionaire Marc Andreessen describes a “horrifying” meeting with the Biden Administration that convinced him he had to endorse Donald Trump 🚨 Biden Admin was going to control AI, only allow 3 companies to create AI, crush all competitor companies then classify the physics needed to run AI models “Meetings in DC in May where we talked to them about this, and the meetings were absolutely horrifying” Reporter “What did you hear in those meetings?” “AI is a technology, basically, that the government is gonna completely control. — Don't fund AI startups. That's not something that we're gonna allow to happen. Um, they’re not gonna be allowed to exist.” “They basically said AI is gonna be a a game of 2 or 3 big companies working closely with the government, and we're gonna basically wrap them in a you know, they I'm paraphrasing, but we're gonna basically wrap them in a government cocoon.” “We're gonna protect them from competition. We're gonna control them, um, and we’re gonna dictate what they do.” He then talks about the Biden Admins plan to clarify and withhold the technology being used This really is horrifying. Just imagine everything else they’re doing this with

Wall Street Apes

1,883,232 views • 1 year ago

US Treasury Secretary Scott Bessent on AI: “What we’ve had in the past month was a step change in the power of one large language model, but we’re going to see it from the other AI companies. And it’s important, Maria, that the U.S. stays ahead here. Imagine if China or some non-state actor were ahead of us. So what we’re determined to do is work with our AI companies to allow them to continue to innovate, but our charge in the U.S. government is maintaining safety. And there is a very important calculus here between innovation and safety. And the U.S. government, we’re going to make sure that things stay safe.”

US Treasury Secretary Scott Bessent on AI: “What we’ve had in the past month was a step change in the power of one large language model, but we’re going to see it from the other AI companies. And it’s important, Maria, that the U.S. stays ahead here. Imagine if China or some non-state actor were ahead of us. So what we’re determined to do is work with our AI companies to allow them to continue to innovate, but our charge in the U.S. government is maintaining safety. And there is a very important calculus here between innovation and safety. And the U.S. government, we’re going to make sure that things stay safe.”

Kyle Chan

45,570 views • 3 months ago

Chris Bryant today all but admitted why the government refuses to accept legislation that makes AI companies reveal their training data: They are going to offer creators transparency legislation *later*, in return for upending copyright law & letting AI companies train on people's life's work without permission. His justification for rejecting transparency legislation: "If we're going to get to that proper compromise solution [between creators and AI companies], it's going to require all the bits of the jigsaw to be put together into a comprehensive picture." That is: if creators want to know when AI companies are using their work, they're going to have to give up their rights. There is no other way of interpreting this comment I can think of. He is saying creators can't get transparency from AI companies without giving something up. And there is nothing to give up except their current rights under the law, which compel AI companies to ask their permission before using their work. Bryant & co. have given no other reason to reject transparency legislation. AI companies are breaking the law, and government refuses to hold them to account. IMO this is awful treatment of the creative sector by the government. Commercial generative AI training on copyrighted work without a license is illegal in the UK; creators cannot enforce their rights, because training happens behind closed doors; the government won't empower creators to enforce their rights without requiring them to give up other rights. Bookmark this. I hope I'm wrong, and that this is not the government's plan - but I see no other conclusion you can draw from Chris Bryant's words here.

Chris Bryant today all but admitted why the government refuses to accept legislation that makes AI companies reveal their training data: They are going to offer creators transparency legislation later, in return for upending copyright law & letting AI companies train on people's life's work without permission. His justification for rejecting transparency legislation: "If we're going to get to that proper compromise solution [between creators and AI companies], it's going to require all the bits of the jigsaw to be put together into a comprehensive picture." That is: if creators want to know when AI companies are using their work, they're going to have to give up their rights. There is no other way of interpreting this comment I can think of. He is saying creators can't get transparency from AI companies without giving something up. And there is nothing to give up except their current rights under the law, which compel AI companies to ask their permission before using their work. Bryant & co. have given no other reason to reject transparency legislation. AI companies are breaking the law, and government refuses to hold them to account. IMO this is awful treatment of the creative sector by the government. Commercial generative AI training on copyrighted work without a license is illegal in the UK; creators cannot enforce their rights, because training happens behind closed doors; the government won't empower creators to enforce their rights without requiring them to give up other rights. Bookmark this. I hope I'm wrong, and that this is not the government's plan - but I see no other conclusion you can draw from Chris Bryant's words here.

Ed Newton-Rex

24,097 views • 1 year ago

.Talia Goldberg explains the concept of 'supernovas' in the AI industry. "The supernovas are out-of-nowhere growth stories that are mind-blowing. AI companies are accelerating and compressing growth into a very short period of time." "On average, the top cloud companies took about 6-7 years to get to about $100 million ARR." "In this cohort, the top percentile is getting to $100 million ARR in about one and a half years, and the top decile in about four years. There are some trade-offs like gross margins. Many of these companies have negative gross margins. Not all revenue is created equal, but nevertheless, the adoption is astounding."

.Talia Goldberg explains the concept of 'supernovas' in the AI industry. "The supernovas are out-of-nowhere growth stories that are mind-blowing. AI companies are accelerating and compressing growth into a very short period of time." "On average, the top cloud companies took about 6-7 years to get to about $100 million ARR." "In this cohort, the top percentile is getting to $100 million ARR in about one and a half years, and the top decile in about four years. There are some trade-offs like gross margins. Many of these companies have negative gross margins. Not all revenue is created equal, but nevertheless, the adoption is astounding."

TBPN

409,181 views • 1 year ago

🚨 Elon Musk on xAI and Grok: "I came to realize that really there's two choices here, either be a spectator or or a participant. And if I'm a spectator, I can't really influence the direction of AI, but if I'm a participant, I can try to influence the direction of AI and have a maximally true seeking AI with with good values, that loves humanity, and that's what we're trying to create with Grok. Grok was the only one that weighted human life equally. You want a curious truth seeking AI. And I think a curious truth seeking AI will want to foster humanity. As long as there's at least one AI that is maximally truth seeking, it will cause embarrassment for the other AIs, and then they improve. They tend to improve just in the same way that acquiring Twitter and allowing the truth to be told and not suppressing the truth forced the other social media companies to be more truthful in the same way, having Grok be a maximally truth seeking, curious AI will force the other AI companies to be more truth seeking and fair."

🚨 Elon Musk on xAI and Grok: "I came to realize that really there's two choices here, either be a spectator or or a participant. And if I'm a spectator, I can't really influence the direction of AI, but if I'm a participant, I can try to influence the direction of AI and have a maximally true seeking AI with with good values, that loves humanity, and that's what we're trying to create with Grok. Grok was the only one that weighted human life equally. You want a curious truth seeking AI. And I think a curious truth seeking AI will want to foster humanity. As long as there's at least one AI that is maximally truth seeking, it will cause embarrassment for the other AIs, and then they improve. They tend to improve just in the same way that acquiring Twitter and allowing the truth to be told and not suppressing the truth forced the other social media companies to be more truthful in the same way, having Grok be a maximally truth seeking, curious AI will force the other AI companies to be more truth seeking and fair."

DogeDesigner

216,533 views • 9 months ago

Katherine Boyle says SpaceX’s legacy will be the thousands of companies that spawn from the school of Elon Musk: "What we've learned from the SpaceX story is that these kinds of companies can be built." "It is one of the most important companies in America. It's beloved by Americans across the country for what it's been able to achieve." "The legacy of SpaceX is going to be hundreds, if not thousands of companies—people who've gone to the school of Elon Musk, they've learned manufacturing and they've built companies, and built products in a way that they can take to new companies in manufacturing and defense, and drones and hypersonics—all of these other categories that SpaceX doesn't do." "We're incredibly excited about SpaceX. We're incredibly excited for what it's achieved for the American people and what it's going to lead to over the next 25 years." Katherine Boyle on FOX Business

Katherine Boyle says SpaceX’s legacy will be the thousands of companies that spawn from the school of Elon Musk: "What we've learned from the SpaceX story is that these kinds of companies can be built." "It is one of the most important companies in America. It's beloved by Americans across the country for what it's been able to achieve." "The legacy of SpaceX is going to be hundreds, if not thousands of companies—people who've gone to the school of Elon Musk, they've learned manufacturing and they've built companies, and built products in a way that they can take to new companies in manufacturing and defense, and drones and hypersonics—all of these other categories that SpaceX doesn't do." "We're incredibly excited about SpaceX. We're incredibly excited for what it's achieved for the American people and what it's going to lead to over the next 25 years." Katherine Boyle on FOX Business

a16z

658,981 views • 5 months ago

It's very interesting what's happening because I was listening to the Disney earnings call, which is such a great index for consumers. Think about families going to theme parks, buying gasoline, buying stuff. This is a new CEO was asked right out of the gate, because every analyst is trying to figure out where the consumer stands, "Have you seen a slowdown in park traffic?" Remember, parks are more expensive than they've ever been and the cost of taking your family in the car should be more expensive than ever because it's gas four to five bucks now. He said there was zero change in traffic. In fact, it's up. So what is happening to this economy that people feel confident enough to see forward to the end of whatever this volatility is, particularly on gas prices? The truth is 50% of the S&P 500 companies have absorbed the tariffs themselves by using AI to increase their margins and productivity. So the full weight of tariffs hasn't ever affected the consumer yet because of this incredible productivity enhancement, this serendipitous tool that Trump never saw coming, called AI, in all 11 sectors.

It's very interesting what's happening because I was listening to the Disney earnings call, which is such a great index for consumers. Think about families going to theme parks, buying gasoline, buying stuff. This is a new CEO was asked right out of the gate, because every analyst is trying to figure out where the consumer stands, "Have you seen a slowdown in park traffic?" Remember, parks are more expensive than they've ever been and the cost of taking your family in the car should be more expensive than ever because it's gas four to five bucks now. He said there was zero change in traffic. In fact, it's up. So what is happening to this economy that people feel confident enough to see forward to the end of whatever this volatility is, particularly on gas prices? The truth is 50% of the S&P 500 companies have absorbed the tariffs themselves by using AI to increase their margins and productivity. So the full weight of tariffs hasn't ever affected the consumer yet because of this incredible productivity enhancement, this serendipitous tool that Trump never saw coming, called AI, in all 11 sectors.

Kevin O'Leary aka Mr. Wonderful

102,065 views • 3 months ago

Chamath Palihapitiya: "when I build Facebook, there were 7000 or 8000 social companies - within six years there were five of us left - I suspect we're about to go through that same cycle in AI " this is him revealed which AI companies will survive and showed his current strategy His words: "companies are generating $50 million of ARR in months and then raising huge rounds. what we haven't seen is whether the foundational models just move up the stack and absorb the capability" "the first wave was just boards who read the word AI somewhere in an article, went to a board meeting and asked the CEO: what's your AI strategy?" MIT looked at 300 AI implementations across 52 companies - 95% never made it to production "there's a big difference between probabilistic software and deterministic software" 70% of AI budgets went into sales and marketing - the lowest ROI category in the study bookmark & watch today ↓

Chamath Palihapitiya: "when I build Facebook, there were 7000 or 8000 social companies - within six years there were five of us left - I suspect we're about to go through that same cycle in AI " this is him revealed which AI companies will survive and showed his current strategy His words: "companies are generating $50 million of ARR in months and then raising huge rounds. what we haven't seen is whether the foundational models just move up the stack and absorb the capability" "the first wave was just boards who read the word AI somewhere in an article, went to a board meeting and asked the CEO: what's your AI strategy?" MIT looked at 300 AI implementations across 52 companies - 95% never made it to production "there's a big difference between probabilistic software and deterministic software" 70% of AI budgets went into sales and marketing - the lowest ROI category in the study bookmark & watch today ↓

bodila

2,617,089 views • 16 days ago

Chamath says the craziest thing he ever heard was Elon on Tesla's Q2 call saying the company will take American solar production past 100 gigawatts a year, making energy completely abundant. "I don't know if you guys saw Elon and Vaibhav, who's the CFO of Tesla in their Q2 earnings call." "It was the craziest thing I had ever heard." "They said, well, I think we're just going to increase the production of solar in America by an entire order of magnitude." "And somebody said, what does that mean?" "He goes, we're going to take it to more than 100 gigawatts a year. And they're going to vertically integrate." "And so they're going to crush the price of all of this stuff. And they're going to make so much energy, and they're going to make it completely abundant."

Chamath says the craziest thing he ever heard was Elon on Tesla's Q2 call saying the company will take American solar production past 100 gigawatts a year, making energy completely abundant. "I don't know if you guys saw Elon and Vaibhav, who's the CFO of Tesla in their Q2 earnings call." "It was the craziest thing I had ever heard." "They said, well, I think we're just going to increase the production of solar in America by an entire order of magnitude." "And somebody said, what does that mean?" "He goes, we're going to take it to more than 100 gigawatts a year. And they're going to vertically integrate." "And so they're going to crush the price of all of this stuff. And they're going to make so much energy, and they're going to make it completely abundant."

Fireside Alpha

200,311 views • 22 days ago

David Stearns was asked if the Mets have considered moving Devin Williams to the 8th inning: "That's not something that Mendy and I have really talked about. I think we're focused on getting Devin right, regardless of what inning he happens to be pitching in."

David Stearns was asked if the Mets have considered moving Devin Williams to the 8th inning: "That's not something that Mendy and I have really talked about. I think we're focused on getting Devin right, regardless of what inning he happens to be pitching in."

SNY Mets

19,961 views • 4 months ago

Dara (CEO of Uber) on their AI spend: "We blew through our AI budget in a quarter, for the whole year. It is forcing us to adjust. We are going to meter headcount increases because to the extent that my engineers are getting much more efficient, their throughput is increasing. There's a cost to that, and it's a significant cost. AI adoption has been occurring in all parts of the business –– whether it's engineers and how they scope projects, how they build, debugging, platform migrations. I'm pushing the teams to fundamentally use the power of AI to rebuild systems and processes from the bottoms up. I do think it's a combination for us right now of encouraging adoption, but then driving efficiency. We're using the more expensive models to explore. Once we scale some of these experiences, we'll look to bring in more efficient models that are more efficient on a token basis or are open source."

Dara (CEO of Uber) on their AI spend: "We blew through our AI budget in a quarter, for the whole year. It is forcing us to adjust. We are going to meter headcount increases because to the extent that my engineers are getting much more efficient, their throughput is increasing. There's a cost to that, and it's a significant cost. AI adoption has been occurring in all parts of the business –– whether it's engineers and how they scope projects, how they build, debugging, platform migrations. I'm pushing the teams to fundamentally use the power of AI to rebuild systems and processes from the bottoms up. I do think it's a combination for us right now of encouraging adoption, but then driving efficiency. We're using the more expensive models to explore. Once we scale some of these experiences, we'll look to bring in more efficient models that are more efficient on a token basis or are open source."

Patrick OShaughnessy

616,953 views • 2 months ago

Mikel Arteta on how hard it is to sign the best players: "But that's the demands, I think, as you said. I think for the margins to improve, there are very few players in the market that are available to do that and bring that to the club. But again, we are actively looking to improve that and we're going to try."

Mikel Arteta on how hard it is to sign the best players: "But that's the demands, I think, as you said. I think for the margins to improve, there are very few players in the market that are available to do that and bring that to the club. But again, we are actively looking to improve that and we're going to try."

Connor Humm

30,397 views • 10 days ago

I wanna solve this because I'm a guy that actually does business there and I'm telling you, they wipe out thousands, if not millions, of American companies that get to five million in sales. I'm just one voice, but I think that narrative's starting to pick up a little momentum here. There are millions of American companies wiped out by what China does. I don't know why anyone is okay with it. 62% of jobs in America are created companies five to five hundred employees. I am their advocate and we're pissed. We've finally got somebody in the White House saying, "What about this IP theft?" I'm just speaking on behalf of every small entrepreneur in America, and I think I have my army behind me.

I wanna solve this because I'm a guy that actually does business there and I'm telling you, they wipe out thousands, if not millions, of American companies that get to five million in sales. I'm just one voice, but I think that narrative's starting to pick up a little momentum here. There are millions of American companies wiped out by what China does. I don't know why anyone is okay with it. 62% of jobs in America are created companies five to five hundred employees. I am their advocate and we're pissed. We've finally got somebody in the White House saying, "What about this IP theft?" I'm just speaking on behalf of every small entrepreneur in America, and I think I have my army behind me.

Kevin O'Leary aka Mr. Wonderful

309,790 views • 1 year ago

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.

Konstantine Buhler

24,887 views • 10 months ago

Mobile put a bank in your pocket. AI is going to put a banker in your pocket. Micky 🐸 says AI agents will start making investment decisions on your behalf very soon. “What I expect to see very soon is an AI agent that can do all kinds of investment decisions and recommendations. The agent will do all kinds of commerce decisions and recommendations. It can do any kind of payment decisions on your behalf. The agent is going to free up time for you and give you ideas that you didn’t have. We're just starting. What we expect is that we're going to see a bunch of new companies and incumbents that are going to be shipping these features in ways that we have not experienced before.”

Mobile put a bank in your pocket. AI is going to put a banker in your pocket. Micky 🐸 says AI agents will start making investment decisions on your behalf very soon. “What I expect to see very soon is an AI agent that can do all kinds of investment decisions and recommendations. The agent will do all kinds of commerce decisions and recommendations. It can do any kind of payment decisions on your behalf. The agent is going to free up time for you and give you ideas that you didn’t have. We're just starting. What we expect is that we're going to see a bunch of new companies and incumbents that are going to be shipping these features in ways that we have not experienced before.”

David Senra

42,009 views • 12 days ago

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Dustin

82,757 views • 5 months ago

Travis Kalanick: “AGI is not here yet, and it's silly for folks to say it is.” “When it comes to big companies, I think the big thing about, let's call it the autonomous enterprise, is change management. And change management is about all the people that already work there, the middle managers, the technocrats, the bureaucrats. The change management is a human thing. And it's very tricky with very complex processes, many of which are not even documented. And in theory, it's just all going to happen real fast. But in practice, that's hard. So that's part one. Part two, what I'm seeing with true tech companies, they are fired up about the development, the productivity, the deployment schedule, and the new features they're able to roll out much, much, much faster because they've pivoted their culture, sort of very pro-AI development. Now, there are folks selling their book that are like, ‘Oh, we're at AGI,’ and all this. Anybody who has worked with these agents and done the AI dev stuff, there's a lot of good stuff, but they're not that smart yet. They're just not that smart.”

Travis Kalanick: “AGI is not here yet, and it's silly for folks to say it is.” “When it comes to big companies, I think the big thing about, let's call it the autonomous enterprise, is change management. And change management is about all the people that already work there, the middle managers, the technocrats, the bureaucrats. The change management is a human thing. And it's very tricky with very complex processes, many of which are not even documented. And in theory, it's just all going to happen real fast. But in practice, that's hard. So that's part one. Part two, what I'm seeing with true tech companies, they are fired up about the development, the productivity, the deployment schedule, and the new features they're able to roll out much, much, much faster because they've pivoted their culture, sort of very pro-AI development. Now, there are folks selling their book that are like, ‘Oh, we're at AGI,’ and all this. Anybody who has worked with these agents and done the AI dev stuff, there's a lot of good stuff, but they're not that smart yet. They're just not that smart.”

The All-In Podcast

112,830 views • 4 months ago