The Cheaper AI Gets, the More Dangerous It Is to Just Rent General Intelligence
- Investor Chamath Palihapitiya published a long essay on X titled "The Great Descent," arguing that AI intelligence is retracing the same cost curve smartphones once rode — from luxury good to mass commodity
- The first smartphone launched in 2007 at around $500, a luxury for a wealthy few; 15 years later, phones with far more compute power sell for under $50 at market stalls in developing countries, with over 6 billion units in use worldwide
- The author argues AI's descent is even faster than the phone's, because it stacks two curves at once: the hardware itself is getting cheaper, and the compute required for the same capability keeps shrinking year over year
- The internet made facts and knowledge free, but never solved the scarcity of judgment; the author argues AI is now delivering judgment itself — an event bigger than the internet
- The author raises a paradox: if every company just rents the same general-purpose AI, they erase their own edge instead of building one — the real winners are the companies that encode their own proprietary experience into dedicated systems
Fifteen Years Later, That Prediction Came True — Every Word of It
Investor Chamath Palihapitiya published a long essay titled "The Great Descent" on X on July 2, 2026, arguing that AI intelligence is sliding down the exact same cost curve smartphones once rode — from luxury to mass availability — and this time it's sliding faster.
Fifteen years ago, Marc Andreessen predicted that software would eat one industry after another, and that prediction came true almost entirely; the author takes it a step further: once software starts to think, expert judgment will slide down the same curve as phones — from a luxury for the few to a commodity for everyone.
Why it's worth reading: The author gives a concrete mechanism. AI's price collapse is driven by two curves at once — the hardware cost curve plus the model efficiency curve — whereas phones back then only had the hardware curve. This is his core argument for why "AI is falling faster than phones did."
Andreessen's essay was good in a way that's rare: a prediction that came entirely true, so true that its thesis has become the air we breathe. The industries he named were all eaten by software, and most of the ones he didn't name didn't escape either. But a truly good essay doesn't just close a topic — it opens the next one. Back then, software couldn't think yet, so there was a part of the story he didn't get to tell: what happens once software starts to think.
The Old Problem: Information Went Free, but Judgment Never Did
The internet crushed the distribution cost of knowledge to zero. Everything humanity knows, once locked in libraries and gated by gatekeepers, is now a search box. But that revolution only finished half the job: it gave you facts, not judgment. You can look up every symptom of a disease and still not know whether you actually have it; you can read every precedent on a legal question and still not know what to do.
The reason is that knowledge can be copied, but professional judgment can't. A book costs almost nothing to reprint, but a doctor, a lawyer, a senior engineer, a seasoned underwriter takes decades to develop, and can't be cloned. The author says the scarcity of professional judgment is the oldest, most fundamental bottleneck in the economy — it's been there since human economies began.
A book costs almost nothing to reprint. The search box now holds everything humanity knows — the internet age made it accessible to everyone.
It takes a doctor, a lawyer, a senior engineer decades to develop — and it walks out the door at retirement, never fully written down, never copied.
And now, the author says, that bottleneck is being broken.
How Phones Went from a $500 Luxury to 6 Billion Units
Start with the phone in your pocket. When the first modern smartphone launched in 2007, it cost about $500 — a luxury for wealthy consumers in developed countries. Fewer than two million people worldwide owned one, an elite product priced for the few by any standard.
What happened next isn't about the high-end flagship, which is still expensive today and still sits at the top of the market — it's about the whole category. Within 15 years, a smartphone with more compute power than that original device could be bought for under $50 at a market stall in any developing country. There are now over 6 billion smartphones on Earth. Something born as a rich person's toy became, in fifteen years, the most widely distributed and most powerful tool in human history.