AGI Timeline Forecasts Vary Wildly — Experts Say Plan for Capability Shifts Instead

Experts and institutions sharply disagree on when artificial general intelligence will arrive, with estimates ranging from a few years, as suggested by Google DeepMind's Demis Hassabis, to around 2047, according to a large survey of machine learning researchers. The lack of a shared AGI definition further muddies the debate, with major AI leaders at OpenAI, Anthropic, Meta, and Nvidia each using different benchmarks to describe the same systems. Technical constraints — including projected exhaustion of public training data by 2028 and diminishing performance gains at rising costs — add genuine uncertainty to any specific timeline. Independent evaluations lab METR has found that AI task-completion capability is doubling every four to seven months, a measurable trend that analysts say is more reliable for planning than any predicted AGI date. Rather than betting strategies on a fixed year, builders are advised to focus on the steady, documented expansion of AI capabilities as the more actionable signal.