Sloane Barbour (@nycsloane) header
Sloane Barbour (@nycsloane) profile picture

Recruiting the Future™️ | Founder & CEO of engin | Father | Husband | Friend | Dog Dad 🐶|

New York, USA
Joined April 2009
Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)Photo by Sloane Barbour (@nycsloane)
Sloane Barbour retweeted
Every time something scarce became abundant, the world changed so fast that the people living through it mistook the beginning for the end. Food was scarce for a hundred thousand years. Agriculture made it abundant, and people who had spent every waking hour chasing their next meal suddenly had something they had never owned before. Time. That time became villages. The villages became cities. The cities became language carved into clay, and then law. Nobody standing in a wheat field understood they were building Rome. Information was scarce for millennia. The printing press made it abundant. The church lost its monopoly on knowledge, and within two centuries every throne in Europe was shaking. Nobody pulling letters from a press understood they were ending the divine right of kings. Energy was scarce until we learned to crack the earth open. Coal and oil made it abundant, and a single person could suddenly command the force of a thousand. Within one generation the entire structure of work turned inside out. Nobody shoveling coal understood they were building the middle class. The pattern never changes. A resource that was hoarded becomes available. The people who held it resist. The structures built on that scarcity fall. And whatever rises in their place is invisible from where everyone is standing. Here is the part almost everyone misses. Information stopped being scarce a long time ago. The library, the search engine, the endless feed. We have been drowning in information for decades, and it never set anyone free, because information just sits there. It answers only the question you already knew how to ask. Intelligence was the thing still locked away. A mind on the other side. Something that explains, argues back, catches your mistake, and meets you exactly where you are standing. The part that bends toward you instead of forcing you to bend toward it. That is what broke open. For the first time, a person with nothing but curiosity and a connection can reach an intelligence that teaches, challenges, and builds alongside them in real time. No tuition. No admissions office. No permission. The distance between what a person can imagine and what they can actually make is collapsing in front of us. And the people most threatened by that are not the ones without talent. They are the ones whose entire standing depends on talent staying rare. Every credential, every hierarchy, every quiet system that decided who was allowed to build and who was told to watch, is resting on a foundation dissolving underneath it. They will fight it. They always do. The church fought the press. The aristocracy fought the vote. The owners fought the union. Every single time a scarce thing became abundant, the ones who controlled it warned everyone else that the sky was falling. The sky was never falling. The ceiling was lifting. And the people underneath it, the ones who had been told their whole lives that the ceiling was the sky, finally looked up and saw nothing there to stop them. That is what is happening right now. Intelligence was never rare. Access to it was. Access just became free. Whatever gets built in the next ten years will not come from the rooms we are all watching. It will come from someone who was never supposed to have the tools, who right now has no idea that the thing they are doing has a name, or a scale, or a future. Same as the wheat field. Same as the press. Same as the coal. We never recognize Rome while we are still building it.
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Sloane Barbour retweeted
Math, or any other field of science for that matter, does not exist, nor is it funded by citizens or taxpayers, simply to provide people with careers! Society has generously granted us scientists with prestige, status & resources in return for our responsibility to advance knowledge, contribute to humanity & move civilization forward. If AI or super-intelligence is able to do that better than our mission has been completed or we can now change our role to help steer it as long as we are able to add value. Unfortunately, academia has built ivory towers guarded by gatekeepers who have taken advantage of society’s generosity. Superintelligence is now challenging these gatekeepers and throwing the gates wide open. That is precisely why they are so upset.
NYU math professor Tristan Buckmaster says OpenAI’s Tuesday drop of 722 AI-generated math papers wiped out entire research programs: “This recent dump of papers on Tuesday destroyed the careers of early career mathematicians.”
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Completing 2FA verifications will be the last jobs humans do
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Sloane Barbour retweeted
Our analysis suggests that AI has so far created around 1m new jobs in America. We explain how the technology has created a hiring boom economist.com/finance-and-ec…
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Sloane Barbour retweeted
One of the best things about starting a company (regardless of whether it is successful or not) is that it eliminates fear. Overcoming the pain of running through walls / getting rejected / dealing with the inevitable twists and turns of building a company - just makes anything you do next feel so light by comparison. And makes you far more likely to “attack” whatever you do next with a more intense degree of ferocity bc you don’t fear failure anymore.
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Sloane Barbour retweeted
One of the most important things to know about this AI cycle is that no one knows what they're talking and even very smart and plugged in people are continually reversing their opinions and then re-reversing them three months later.
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Sloane Barbour retweeted
of the top 10 highest paid jobs today, 8 did not exist 20 years ago
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Building agents for staffing and enterprise recruiting teams has been interesting because 9 months ago they were effectively equal with humans. Now they are much better than even the best recruiter at finding signal in the noise.
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Sloane Barbour retweeted
"What if the model companies do this?" is the new "What if Google does this?" I.e. the meaningless question investors ask that shows either that they're stupid or that they dislike you and are looking for ways to find fault.
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Sloane Barbour retweeted
the more noise, the more value there is for signal
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Sloane Barbour retweeted
Yes
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Sloane Barbour retweeted
“man shouldn't be able to see his own face. there's nothing more sinister. nature gave him the gift of not being able to see it and of not being able to stare into his own eyes. only in the water of rivers and ponds could he look at his face. and the very posture he had to assume was symbolic. he had to bend over, stoop down, & to commit the ignominy of beholding himself. the inventor of the mirror poisoned the human heart.”
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Sloane Barbour retweeted
This is a fantastic post about why jobs aren’t going away in the way some predict. We are constantly making the mistake of confusing task completion with AI with being able to eliminate the whole job. Even as we can automate one or many tasks within a job, the definition of the job almost inevitably just expands to do vastly more of those tasks, do them at a higher quality, or move on to the type of task that hasn’t been automated yet. And as a result of being able to do more of the tasks or at a higher quality level, the job becomes valuable in a new way. And in many cases for now an entirely new audience as well. This will be true for coding, legal work, sales, or marketing. The small business or non-tech company that wants to now take on larger software projects finally can, and they’ll hire to do so. The small business that couldn’t afford a full marketing agency can hire or contract out to a marketer that can do as much as an agency did before now with agents. And so on. Don’t fall into the trap of confusing tasks with jobs.
We’ve automated every single thing we can @every with AI agents. And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3. I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI. After Automation: every.to/p/after-automation
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Sloane Barbour retweeted
We’ve automated every single thing we can @every with AI agents. And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3. I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI. After Automation: every.to/p/after-automation
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Sloane Barbour retweeted
Artificial intelligence won’t take away all the jobs - quite the opposite. After all, the manufacture of new professions and roles has itself been historically subject to a limits of a production function. As input costs collapse, job types can explode: we shall be awash in work.
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Sloane Barbour retweeted
Narrative violations abound: - Demand for software engineers is rising - Software devs are rising as a share of new jobs - AI exposed industries are seeing above-trend wage growth - Open PM jobs haven't been higher since 2022 More from a16z's David George on the "AI job apocalypse" myth: a16z.news/p/the-ai-job-apoca…
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Apollo's top economist says AI will spark a job-market boom. It happened with agriculture, the automobile, and the internet. Every major shift created more jobs than it destroyed... eventually. BUT the problem isn't whether... it's when. The "AI jobs" being created right now (prompt engineering, output auditing, synthetic data curation) are temporary scaffolding built to bridge current model limitations. When the next version ships, the scaffolding comes down with it. I said before that timing is the main question... AI is eliminating jobs now, while abundance comes later. The question is, who finances the gap? Destruction is instant. Creation takes years.
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Sloane Barbour retweeted
only way to be an expert is to remain a student especially true in platform shifts
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Sloane Barbour retweeted
Magical OpenClaw experiences that use frontier models cost $300-1,000/day today, heading to $10,000/day and more. The future shape of the entire technology industry will be how to drive that to $20/month.
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Sloane Barbour retweeted
Engineering job openings are at the highest levels we’ve seen in over 3 years There are over 67,000 (!!!) eng openings at tech companies globally right now, with 26,000 just in the U.S. We don’t know if there would have been more open roles if not for AI or if AI is actually leading to more open roles, but since the start of this year, the increase in open eng roles is accelerating even more.
STATE OF THE PRODUCT JOB MARKET IN EARLY 2026 In spite of the headlines about layoffs and AI taking jobs, we’re actually seeing a lot of promising signs in tech hiring, and some interesting new trends: 1. PM openings are at the highest levels we’ve seen in over three years 2. AI hasn’t slowed the demand for software engineers (at least not yet) 3. AI roles in general are absolutely exploding 4. Design roles have plateaued 5. The Bay Area is increasing in importance 6. Remote work opportunities continue to decline 7. Despite ongoing layoffs, the overall number of tech jobs continues to grow More in 🧵
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