Who predicts AGI is imminent, who doesn't, and what financial incentives lie behind each position. The correlation is real — but the full picture is more nuanced than "follow the money."
Each dot is a person or group. X-axis: financial exposure to AGI arriving soon. Y-axis: how soon they predict it. The four quadrants tell four different stories. Hover for details.
The conversation splits into three distinct camps — each with a different incentive structure.
"We are now confident we know how to build AGI."Sam Altman, Jan 2025 — $730B
"A country of geniuses in a datacenter, as early as 2026."Dario Amodei — $380B
"AGI by 2027 is strikingly plausible."Leopold Aschenbrenner — $5.5B fund
"I was born to realise ASI."Masayoshi Son — $41B in OpenAI
"AGI milestones are nonsensical benchmark hacking."Satya Nadella — 27% of OpenAI
"We are quite far from a generalized technology."Sundar Pichai — CEO, $4T Alphabet
"It's so early right now in the AI space."Andy Jassy — $50B in OpenAI
"Whether we reach that point in a decade or a century."Bill Gates — Microsoft advisor
"People bloviating about AGI in a year or two. Completely delusional."Yann LeCun, Turing Award — left Meta
"AI agents are slop. They just don't work."Andrej Karpathy — ex-OpenAI
"Decades away. AGI hype misleads students and CEOs."Andrew Ng — DeepLearning.AI
"Revised from 2027 to 2030 when evidence warranted."Daniel Kokotajlo — forfeited $1.7M
The most instructive case: Zuckerberg ("Superintelligence is now in sight") and his own chief scientist LeCun ("Completely delusional") work at the same company. The money-holder and the scientist have opposite positions. This pattern repeats: Altman vs. Karpathy, Son vs. Nadella, Hassabis vs. Pichai. In every case, the person controlling capital is more bullish than the person doing the research.
Three model-building companies worth $1.34T. Their platform partners — with equal or greater exposure — won't endorse their timelines.
Model builders (OpenAI, Anthropic, xAI, SSI) have valuations that collapse if AGI is 20 years away. Platform players (Microsoft, Google, Amazon, Nvidia) profit from AI adoption at any pace. This explains why two people can have equal financial exposure to AI but radically different AGI claims. Nadella's $13B in OpenAI doesn't need AGI to be imminent — Azure grows either way. Altman's $730B valuation does.
What does the evidence look like when you separate the signals by incentive structure?
Bar length = years from today. Sources: AI Impacts, Metaculus, AAAI, public statements.
The technology is real and useful. LLMs are generating genuine revenue. Nobody credible disputes this.
The "money = hype" correlation is real, with caveats. Model builders (OpenAI, Anthropic, xAI) whose valuations depend on AGI proximity cluster at 2026-2027. Platform players (Microsoft, Google, Amazon) with equal or greater AI exposure but no AGI-dependent valuations cluster at "too early to say" or "quite far." This isn't coincidence.
But financial incentive isn't the only explanation. A cluster of safety researchers — Hinton, Bengio, Kokotajlo — believe AGI is near-ish (2028-2035) without having billions at stake. Their timelines are wider and more hedged than the model builders', and some have revised longer when evidence warranted, but they exist. The honest framing: financial incentives explain the extremity and precision of the claims (exactly 2027, total confidence), not necessarily the direction.
The most telling signal: In every case where a capital-controller and a researcher exist at the same organization, the capital-controller predicts AGI sooner. Zuckerberg vs. LeCun. Altman vs. Karpathy. Son vs. Nadella. Hassabis vs. Pichai. This pattern has zero exceptions in our dataset.
The controlled estimate: Strip out everyone whose valuation depends on AGI proximity. The remaining voices — platform CEOs, academics, Turing Award winners, 2,778 surveyed researchers, prediction markets — converge on a range of 2030-2047, with most weight in the 2033-2040 band. The technology will continue to improve. AGI, however defined, is probably a decade-plus away, not one to three years.