Home Speakers Elad Gil Quote AI will first automate away the things that are easier to form a closed loop learning system on. This is why code and AI research may be accelerated and then displaced quickly - you can have testable closed loop systems so machines can learn and iterate quickly.
Words found on the source page on Nov 6, 2026.
More from Elad Gil Blog Random thoughts while gazing at the misty AI Frontier Apr 20, 2026
Founders running successful AI companies should all take a cold hard look at exiting in the next 12-18 months, which may be a value maximizing moment for outcomes. Blog Random thoughts while gazing at the misty AI Frontier Apr 20, 2026
If Anthropic and OpenAI hit $100B of revenue by EOY as many think they might, roughly 1% of GDP run rate will be from AI by end of 2026. Blog Random thoughts while gazing at the misty AI Frontier Apr 20, 2026
Multiple later stage CEOs told me that rather then do big layoffs due to AI, they will just stop growing. So if revenue at the company is growing 30%, 50%, or 100%, headcount may be flat or slightly down as they allow attrition to shrink staff. Blog Random thoughts while gazing at the misty AI Frontier Apr 20, 2026
The AI engineer of the future will be managing and orchestrating large numbers of agents to build things (systems and product thinking) vs writing a lot of code themselves (the auto-complete tab era). Blog Random thoughts while gazing at the misty AI Frontier Apr 20, 2026
The top AI researchers became post-economic all at once. (Maybe the closest prior analogues is the early crypto HODLRs?). Blog Random thoughts while gazing at the misty AI Frontier Apr 20, 2026
This means countries like India and the Philippines may be the most impacted soonest in terms of employment and AI as they house many of these outsourced services organizations. It also means some developing countries may lose their services ladder to upgrading their economy and work. Blog Random thoughts while gazing at the misty AI Frontier Apr 20, 2026
While people will undoubtedly get more efficiency out of the compute they have, this artificial compute constraint may mean no one lab is able to break significantly ahead until 2028 at the soonest - re-enforcing an oligopoly market for LLMs. Blog AI Market Clarity Jul 22, 2025
In the future, it is unlikely that many new core LLM companies will get started due to capital moats, barring some new breakthrough that somehow doesn’t spread quickly. Blog AI Market Clarity Jul 22, 2025
Often, adoption of AI is not a technology problem – it is an organization, process, and people issue. Blog AI Market Clarity Jul 22, 2025
We are starting to see the shift from selling seats, to selling units of cognition or human equivalent labor. Blog Things I Don't Know About AI Feb 21, 2024
Cloud providers are easily the biggest funders of foundation models, not venture capitalists. Blog Things I Don't Know About AI Feb 21, 2024
Things seem to be evolving towards the above: Frontier LLMs are likely to be an oligopoly market.
On the same topics Blog Thinking in Systems, Shipping in Loops Sep 24, 2026
AI has removed the typing from software engineering & left the system design. Blog Thinking in Systems, Shipping in Loops Sep 24, 2026
The craft of fitting code together by hand is over; what remains is designing the loop that decides whether the output is right. Blog Thinking in Systems, Shipping in Loops Sep 24, 2026
This is the new software engineering: designing the systems that let AI write code correctly at scale. Blog Frontier Overhangs Sep 21, 2026
What this means is that model performance isn’t the only thing that matters: the integration between model and harness is where true agent differentiation is found. Blog The Overhang Sep 18, 2026
In fact, the new GPT-6 Astra and Fable 5.1 are already enough for transformative impact in large sections of the economy and they can reliably do weeks worth of human work when properly guided and harnessed. Blog The Overhang Sep 18, 2026
Making great things with AI means knowing which AI outputs to keep, which to discard, and which to use as raw material for something the AI would never have generated on its own. About this quote 
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