Karpathy: only ~5,000 people can access frontier AI; 6 billion never touched an LLM
Andrej Karpathy said in a post that only about 5,000 people have access to frontier internal AI systems, roughly 6 billion people (about 75% of the population) have barely touched a large language model, another 1–2 billion occasionally use free ChatGPT-style products, and about 20 million (around 0.2%) use frontier models deeply in areas such as math and coding. He argues frontier capability only shows up on large, complex, long-horizon problems, and that reinforcement learning's need for verifiable feedback is why math and code advance first while open-ended writing lacks clear signal. The article also cites a16z data showing the top 1% of paying users generate 19.5% of consumer AI revenue, says ChatGPT has about 810 million weekly users versus roughly 35 million paying ones, and notes METR's estimate that agent capability doubles about every seven months, while an early-2025 randomized experiment found experienced developers familiar with their own codebase took 19% longer on tasks when using AI tools.
It underscores how far public perception of AI capability has drifted from everyday usage, and that the gap between tiers of access may keep widening.