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Every time I hear “Stop learning to code. AI will do it,” I worry. That is dangerous advice. Andrew Ng nailed it. When something becomes easier, more people should do it, not fewer. When coding moved from punch cards to keyboards, demand exploded. When higher level languages replaced assembly,...

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Pascal Bornet

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18,019 Aufrufe • vor 3 Monaten •via X (Twitter)

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Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."
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Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."

Big Brain AI

210,997 Aufrufe • vor 15 Tagen

"the people who struggle with coding agents are those who try to push their way too hard. partially why I find coding with agents easy is that I've led engineering teams before". this is a unique view on AI coding, that to maximize your output you have to "let go" a bit and accept that the way AI will build the project might not be 100% aligned with your way, it might not even be 100% correct, but it will push the project forward. and if you realize later that you don't like an approach, you can always go back to it later and iterate over it. so there's not always an absolute total gain, but the overall performance is what matters in the end.
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"the people who struggle with coding agents are those who try to push their way too hard. partially why I find coding with agents easy is that I've led engineering teams before". this is a unique view on AI coding, that to maximize your output you have to "let go" a bit and accept that the way AI will build the project might not be 100% aligned with your way, it might not even be 100% correct, but it will push the project forward. and if you realize later that you don't like an approach, you can always go back to it later and iterate over it. so there's not always an absolute total gain, but the overall performance is what matters in the end.

ℏεsam

164,838 Aufrufe • vor 3 Monaten

Jensen Huang recently said he wants his engineers to spend 0% of their time coding. At first, it sounds absurd — until you realize what he really means. Coding is becoming automated. The new value isn’t in typing instructions for machines… …it’s in teaching machines what’s worth building. Jensen’s message is clear: The future belongs to engineers who understand systems, context, and creativity — not just syntax. As AI takes over execution, human intelligence must rise to orchestration. It’s not about writing code anymore. It’s about writing the future. What do you think — will the best engineers of 2026 still code, or will they design intelligence itself? #ArtificialIntelligence #AI #Coding #Technology #FutureOfWork #Leadership #Innovation #Automation #MachineLearning #AIandHumanity
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Jensen Huang recently said he wants his engineers to spend 0% of their time coding. At first, it sounds absurd — until you realize what he really means. Coding is becoming automated. The new value isn’t in typing instructions for machines… …it’s in teaching machines what’s worth building. Jensen’s message is clear: The future belongs to engineers who understand systems, context, and creativity — not just syntax. As AI takes over execution, human intelligence must rise to orchestration. It’s not about writing code anymore. It’s about writing the future. What do you think — will the best engineers of 2026 still code, or will they design intelligence itself? #ArtificialIntelligence #AI #Coding #Technology #FutureOfWork #Leadership #Innovation #Automation #MachineLearning #AIandHumanity

Pascal Bornet

65,433 Aufrufe • vor 4 Monaten

“AI won’t take people’s jobs. Other people who know how to use AI will” - Jensen Huang, NVIDIA CEO ​ Jensen Huang said the quiet part out loud: AI revolution isn't about robots taking jobs. It's about people with AI taking jobs from people without AI. ​ Why this matters more than it seems: We're fixated on the wrong question: 'Will AI replace me?' Right question: 'How do I use AI to become irreplaceable?' ​ Real life examples: ​ Junior developer with Copilot, supervised by Senior dev, can write Senior-level code ​ Marketer with AI generates content like entire department ​ Analyst with Claude conducts research like team of 5 ​ This isn't 'AI does work for you'. It's 'AI enables you to do 10x more'. ​ But here's uncomfortable truth: most people use AI at 5% capacity. ChatGPT for writing emails is like using supercomputer as calculator. ​ Real moat in AI era: ​ Ability to define tasks (prompting is the new coding) Ability to verify results (critical thinking > ever) Ability to combine AI tools (stack of AIs = superpower) ​ Huang gave us warning. Those who heard - already learning. Others will wonder why they got replaced by 22-year-old kid with right AI stack. ​ The race is on. But between humans who adapt and those who don't.
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“AI won’t take people’s jobs. Other people who know how to use AI will” - Jensen Huang, NVIDIA CEO ​ Jensen Huang said the quiet part out loud: AI revolution isn't about robots taking jobs. It's about people with AI taking jobs from people without AI. ​ Why this matters more than it seems: We're fixated on the wrong question: 'Will AI replace me?' Right question: 'How do I use AI to become irreplaceable?' ​ Real life examples: ​ Junior developer with Copilot, supervised by Senior dev, can write Senior-level code ​ Marketer with AI generates content like entire department ​ Analyst with Claude conducts research like team of 5 ​ This isn't 'AI does work for you'. It's 'AI enables you to do 10x more'. ​ But here's uncomfortable truth: most people use AI at 5% capacity. ChatGPT for writing emails is like using supercomputer as calculator. ​ Real moat in AI era: ​ Ability to define tasks (prompting is the new coding) Ability to verify results (critical thinking > ever) Ability to combine AI tools (stack of AIs = superpower) ​ Huang gave us warning. Those who heard - already learning. Others will wonder why they got replaced by 22-year-old kid with right AI stack. ​ The race is on. But between humans who adapt and those who don't.

Rezo🛡₿RRR

50,818 Aufrufe • vor 10 Monaten

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.
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Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

Ian Miles Cheong

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🚨 CEO of Nvidia: "I'd hire the graduate who's expert in AI over the one who isn't. Every time" he's not talking about people who use AI everyone uses AI. he's talking about people who know the stack. agents. frameworks. tools. workflows. skills. automations Bookmark it.

Rahul

3,758,589 Aufrufe • vor 20 Tagen

Jensen Huang said if he were a student today, he wouldn’t prioritize coding. He’d prioritize learning how to talk to AI. Most people treat AI like Google. Type a question, get an answer, move on. Huang sees it differently. He calls it “expertise in artistry,” which sounds dramatic but makes sense when you think about it. The real skill isn’t using AI. It’s knowing what to ask for and how to refine it. “Learning to interact with AI is not unlike being really good at asking questions.” If you’re a doctor, can you use AI to catch diagnoses you’d miss? If you’re a lawyer, can you sharpen arguments faster than your competition? The leverage comes from pairing what you know with how well you can direct the tool. Domain expertise multiplied by AI fluency equals amplification. Without the expertise, the AI is just noise. Without fluency, you’re leaving most of the capability on the table. The question isn’t whether AI will replace you. It’s whether someone who knows how to use it better will.
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Jensen Huang said if he were a student today, he wouldn’t prioritize coding. He’d prioritize learning how to talk to AI. Most people treat AI like Google. Type a question, get an answer, move on. Huang sees it differently. He calls it “expertise in artistry,” which sounds dramatic but makes sense when you think about it. The real skill isn’t using AI. It’s knowing what to ask for and how to refine it. “Learning to interact with AI is not unlike being really good at asking questions.” If you’re a doctor, can you use AI to catch diagnoses you’d miss? If you’re a lawyer, can you sharpen arguments faster than your competition? The leverage comes from pairing what you know with how well you can direct the tool. Domain expertise multiplied by AI fluency equals amplification. Without the expertise, the AI is just noise. Without fluency, you’re leaving most of the capability on the table. The question isn’t whether AI will replace you. It’s whether someone who knows how to use it better will.

Dustin

785,431 Aufrufe • vor 4 Monaten

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Ihtesham Ali

148,959 Aufrufe • vor 2 Tagen

Deepmind CEO's advice to young professionals: Get unbelievably proficient at using AI tools. AI is not taking your jobs yet, but the people who uses it better than you will.
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Deepmind CEO's advice to young professionals: Get unbelievably proficient at using AI tools. AI is not taking your jobs yet, but the people who uses it better than you will.

Jason Choi

15,817 Aufrufe • vor 4 Monaten

Whether you like it or not, AI is dominating the world of work today. So, if you are not AI fluent then it is a matter of time before you get replaced! Whether you are a student, employed or unemployed, you need to make sure that your skills remain relevant. Join us today at 5pm (SAST) & start your journey towards AI Fluency.
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Whether you like it or not, AI is dominating the world of work today. So, if you are not AI fluent then it is a matter of time before you get replaced! Whether you are a student, employed or unemployed, you need to make sure that your skills remain relevant. Join us today at 5pm (SAST) & start your journey towards AI Fluency.

Kgethi Phakeng, PhD(Wits); Hon DSc (UBristol)

10,330 Aufrufe • vor 10 Monaten

AI coding just arrived in Jupyter notebooks - and bhupesh ganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI - built by the Jupyter team and showcased at JupyterCon this week - brings AI assistance directly into notebooks. Most AI coding assistants struggle with Jupyter notebooks. Jupyter AI was designed specifically for them. This is the first course to teach it. In this course, Brian and I teach you to: - Generate and debug code directly in notebook cells through an integrated chat interface - Provide the right context (like API docs) to help AI write accurate code - Use Jupyter AI's unique notebook features: drag cells to chat, generate cells from chat, attach context for the LLM We've integrated Jupyter AI directly into the DeepLearningAI platform, so you can start using it immediately. Since Jupyter AI is open source, you can also install and run it locally afterward. Whether you're experienced with notebooks or learning them for the first time, this course will prepare you for AI-assisted notebook development. Start using Jupyter AI (free):
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AI coding just arrived in Jupyter notebooks - and bhupesh ganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI - built by the Jupyter team and showcased at JupyterCon this week - brings AI assistance directly into notebooks. Most AI coding assistants struggle with Jupyter notebooks. Jupyter AI was designed specifically for them. This is the first course to teach it. In this course, Brian and I teach you to: - Generate and debug code directly in notebook cells through an integrated chat interface - Provide the right context (like API docs) to help AI write accurate code - Use Jupyter AI's unique notebook features: drag cells to chat, generate cells from chat, attach context for the LLM We've integrated Jupyter AI directly into the DeepLearningAI platform, so you can start using it immediately. Since Jupyter AI is open source, you can also install and run it locally afterward. Whether you're experienced with notebooks or learning them for the first time, this course will prepare you for AI-assisted notebook development. Start using Jupyter AI (free):

Andrew Ng

117,912 Aufrufe • vor 7 Monaten

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.
0:39

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

a16z

366,027 Aufrufe • vor 9 Monaten

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.
0:35

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

82,690 Aufrufe • vor 2 Monaten

Some people keep saying not to learn to code on the grounds that AI would automate it. We will look back on that as some of the worst career advice ever given. AI will make software development easier, just like the compiler did. Or open source. Or the cloud. More people should learn coding, not less. More on that in my interview with Marina Mogilko at Viva Technology this year.
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Some people keep saying not to learn to code on the grounds that AI would automate it. We will look back on that as some of the worst career advice ever given. AI will make software development easier, just like the compiler did. Or open source. Or the cloud. More people should learn coding, not less. More on that in my interview with Marina Mogilko at Viva Technology this year.

Thomas Dohmke

12,353 Aufrufe • vor 11 Monaten

Around 1 billion computer-based jobs are at risk of being replaced by AI. This shift is happening whether people are ready for it or not. The real question isn’t if it happens. It’s who owns the value created by it. Right now, that value flows to a handful of billionaires and Big Tech companies. At Action Model, we believe AI should be owned by the people, not controlled by the few. There’s still a small window for people-owned AI to win. Now is your chance to do something about it.
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Around 1 billion computer-based jobs are at risk of being replaced by AI. This shift is happening whether people are ready for it or not. The real question isn’t if it happens. It’s who owns the value created by it. Right now, that value flows to a handful of billionaires and Big Tech companies. At Action Model, we believe AI should be owned by the people, not controlled by the few. There’s still a small window for people-owned AI to win. Now is your chance to do something about it.

Action Model

21,029 Aufrufe • vor 1 Monat

Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part I can't stop thinking about: > the AI you're using today is the dumbest it will ever be > in 5 years the gap between people using AI and people who aren't will be impossible to hide > companies will run on 10 people doing what 200 used to do > the ones who get there first won't be the smartest, they'll be the ones who started right now right now the average person opens Claude, types something, gets an answer, closes the tab they think they're using AI, but they're using maybe 10% of it I turned his lecture into 18 steps to actually use Claude the way it was designed, copy-paste prompts included full guide in the post below.
1:01:06

Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part I can't stop thinking about: > the AI you're using today is the dumbest it will ever be > in 5 years the gap between people using AI and people who aren't will be impossible to hide > companies will run on 10 people doing what 200 used to do > the ones who get there first won't be the smartest, they'll be the ones who started right now right now the average person opens Claude, types something, gets an answer, closes the tab they think they're using AI, but they're using maybe 10% of it I turned his lecture into 18 steps to actually use Claude the way it was designed, copy-paste prompts included full guide in the post below.

Anatoli Kopadze

775,081 Aufrufe • vor 27 Tagen

I call it meditation coding. It's the opposite of vibe coding where you spend a ton of time meticulously hand coding something useless, when using AI or an app would have been way easier and faster.
0:40

I call it meditation coding. It's the opposite of vibe coding where you spend a ton of time meticulously hand coding something useless, when using AI or an app would have been way easier and faster.

martin_casado

98,528 Aufrufe • vor 1 Jahr

holy moly @windsurf from Codeium is the best AI coding agent experience i've had 💨 🏄‍♂️ I scaffolded an entire Next.js app, including frontend and backend - db, auth, frontend framework etc. by simply talking to "Cascade" their AI coding agent they've figured something out something with the idea of - "Flows": "AI flows ensure that the AI always understands the context of your work, adapting instantly as you transition between tasks, so it can assist without needing to be brought up to speed or interrupt your focus." it's the first time working with an AI that I feel it actually understands what I'm trying to do and is acting with true agency it also stops to consult me when needed if anything is unclear it's a beautiful experience, so well done the best part is that it's free to try for the next few weeks for any developer
0:34

holy moly @windsurf from Codeium is the best AI coding agent experience i've had 💨 🏄‍♂️ I scaffolded an entire Next.js app, including frontend and backend - db, auth, frontend framework etc. by simply talking to "Cascade" their AI coding agent they've figured something out something with the idea of - "Flows": "AI flows ensure that the AI always understands the context of your work, adapting instantly as you transition between tasks, so it can assist without needing to be brought up to speed or interrupt your focus." it's the first time working with an AI that I feel it actually understands what I'm trying to do and is acting with true agency it also stops to consult me when needed if anything is unclear it's a beautiful experience, so well done the best part is that it's free to try for the next few weeks for any developer

Dan McAteer

190,467 Aufrufe • vor 1 Jahr

Marc Andreessen just coined a term that perfectly describes what's actually happening to programmers right now and it's the opposite of what the doomers predicted (Save this). He calls them AI vampires. Andreessen's says that programmers using Codex, Claude Code and AI coding tools are not being replaced but they're working harder than ever, sleeping less than ever, with massive bags under their eyes and they are completely euphoric. What's remarkable is that the phenomenon extends far beyond professional engineers. Andreessen described an a16z partner who had never written a single line of code in his career, who built an entire AI powered work system for himself and when asked if he'd ever looked at the underlying code, the answer was simply "hell no." The data behind the anecdote is extraordinary. Andreessen says the leading-edge programmers at a16z portfolio companies are now 20x more productive than they were a year ago, the most dramatic increase in programmer productivity in the history of the industry. The METR May 2026 AI usage survey found technical workers self reporting a 1.4–2x change in work value from AI tools, with 75% of software engineers using AI for at least half their work. The software engineer hiring rate is actually increasing up to 22.77% of new hires in 2025 from 19.32% in late 2023 and companies are now bidding more aggressively for senior engineers specifically because AI empowered engineers have a higher ROI than ever before. The US economy added 115,000 jobs in April 2026 alone, beating the 62,000 consensus forecast precisely as AI adoption hit its highest level on record. This is exactly what basic economics predicts and what almost no one who writes about AI and jobs bothers to say. Classic marginal productivity theory says: when you increase the productivity of a worker, you don't diminish human work, you expand it. The worker becomes more productive, gets paid more, does more, and more jobs are created in the process. Andreessen's ATM analogy holds here because ATMs were supposed to eliminate bank tellers but instead, teller employment rose because lower operating costs let banks open more branches. The no-code AI market has exploded from $4.3 billion in 2023 to $21.2 billion in 2026 not because programmers are being replaced, but because the universe of people who can now build software has expanded by orders of magnitude. The blind spot, as Andreessen notes, is that productivity is now outrunning comprehension. The a16z partner building AI systems he's never looked at the code for represents something genuinely new, software being summoned faster than it can be understood. That's not necessarily dangerous but it does mean the verification, security, and governance layer of the AI development stack is more important now than it has ever been.
2:28

Marc Andreessen just coined a term that perfectly describes what's actually happening to programmers right now and it's the opposite of what the doomers predicted (Save this). He calls them AI vampires. Andreessen's says that programmers using Codex, Claude Code and AI coding tools are not being replaced but they're working harder than ever, sleeping less than ever, with massive bags under their eyes and they are completely euphoric. What's remarkable is that the phenomenon extends far beyond professional engineers. Andreessen described an a16z partner who had never written a single line of code in his career, who built an entire AI powered work system for himself and when asked if he'd ever looked at the underlying code, the answer was simply "hell no." The data behind the anecdote is extraordinary. Andreessen says the leading-edge programmers at a16z portfolio companies are now 20x more productive than they were a year ago, the most dramatic increase in programmer productivity in the history of the industry. The METR May 2026 AI usage survey found technical workers self reporting a 1.4–2x change in work value from AI tools, with 75% of software engineers using AI for at least half their work. The software engineer hiring rate is actually increasing up to 22.77% of new hires in 2025 from 19.32% in late 2023 and companies are now bidding more aggressively for senior engineers specifically because AI empowered engineers have a higher ROI than ever before. The US economy added 115,000 jobs in April 2026 alone, beating the 62,000 consensus forecast precisely as AI adoption hit its highest level on record. This is exactly what basic economics predicts and what almost no one who writes about AI and jobs bothers to say. Classic marginal productivity theory says: when you increase the productivity of a worker, you don't diminish human work, you expand it. The worker becomes more productive, gets paid more, does more, and more jobs are created in the process. Andreessen's ATM analogy holds here because ATMs were supposed to eliminate bank tellers but instead, teller employment rose because lower operating costs let banks open more branches. The no-code AI market has exploded from $4.3 billion in 2023 to $21.2 billion in 2026 not because programmers are being replaced, but because the universe of people who can now build software has expanded by orders of magnitude. The blind spot, as Andreessen notes, is that productivity is now outrunning comprehension. The a16z partner building AI systems he's never looked at the code for represents something genuinely new, software being summoned faster than it can be understood. That's not necessarily dangerous but it does mean the verification, security, and governance layer of the AI development stack is more important now than it has ever been.

Milk Road AI

136,646 Aufrufe • vor 29 Tagen

Who believes it is AI should name the AI tool for me. I want to have it.
0:38

Who believes it is AI should name the AI tool for me. I want to have it.

Johannes Maria

11,179 Aufrufe • vor 6 Tagen