The most immediate AI milestone is not singularity, but "Economic AGI," where AI can perform most virtual knowledge work better than humans. This threshold, predicted to arrive within 12-18 months, will trigger massive societal and economic shifts long before a "Terminator"-style superintelligence becomes a reality.

Leaders from OpenAI, Google, and Anthropic are openly and consistently predicting profound disruption to the labor market from AI. This view, once an outlier, has become the conventional wisdom in the tech C-suite, signaling a major shift in expectations for the near-term future of work.

To predict AI's future impact on the broader economy, observe its current capabilities in software development. AI models are consistently about a year ahead in coding ability compared to other domains, providing a reliable preview of the automation coming to other knowledge-work sectors.

Julian Schrittwieser, a key researcher from Anthropic and formerly Google DeepMind, forecasts that extrapolating current AI progress suggests models will achieve full-day autonomy and match human experts across many industries by mid-2026. This timeline is much shorter than many anticipate.

Jack Clark of Anthropic estimates a 60% probability of achieving end-to-end automated AI R&D by 2028. This "recursive self-improvement," where AI designs better AI, would mark a critical threshold, leading to an intelligence explosion and a future that is nearly impossible to forecast.

AI's primary impact will be augmenting and increasing productivity across entire organizations, not just automating lower-level tasks. The technology can handle a fraction of almost everyone's job, freeing up humans to focus on strategic, creative, and interpersonal work that models cannot perform.

The immense challenge of deploying AI within large enterprises, acknowledged by labs like OpenAI and Anthropic, is slowing widespread impact. This extended timeline provides a crucial adaptation period for businesses and workers to reskill and redesign roles, tempering fears of a sudden job apocalypse.

Dario Amodei is "at like 90%" confidence that AI will achieve the capability of a "country of geniuses in a data center" by 2035. He believes the path is clear, with the only major uncertainties being geopolitical disruptions or a fundamental roadblock in scaling non-verifiable creative tasks.

OpenAI CEO Sam Altman has publicly stated a timeline for AI to conduct AI research autonomously, aiming for an intern-level researcher by 2026 and a fully automated one by 2028. This could massively accelerate AI progress and lead to an intelligence explosion.