Economic Impact
Revenue, valuations, and labor-market effects of AI progress.
This category contains 13 tracked predictions. Each page includes the original claim, current evidence, counterevidence, and what would change our assessment.
SHARE OF US POWER ON AI 2.5% — 33 GW OF 1.34TW CAPACITY
AI takes some jobs and creates others, junior software roles face disruption, and public concern produces a large Washington protest in late 2026.
OpenBrain blows the competition out of the water again by releasing Agent-1-mini—a model 10x cheaper than Agent-1 and more easily fine-tuned for different applications.
GLOBAL AI CAPEX $1T: COST OF OWNERSHIP OF ACTIVE COMPUTE
GLOBAL AI POWER 38GW PEAK POWER
Hiring new programmers has nearly stopped, while workers able to manage teams of AIs remain valuable.
Sidebar graphics show OpenBrain valuation trajectory: $1T (Apr 2026), $2T (Aug 2026), $3T (Dec 2026)
OPENBRAIN'S COMPUTE COSTS $40B 2026 ANNUAL · OPENBRAIN POWER REQUIREMENT 6GW PEAK POWER · CAPITAL EXPENDITURE $200B COST OF OWNERSHIP OF OPENBRAIN'S ACTIVE COMPUTE
OPENBRAIN REVENUE $45B 2026 ANNUAL
Hundreds of billions pour into AI infrastructure, with hyperscalers racing to build compute capacity at unprecedented scale.
Data center construction accelerates dramatically, with power grid constraints becoming a real bottleneck.
The stock market has gone up 30% in 2026, led by OpenBrain, Nvidia, and whichever companies have most successfully integrated AI assistants.
Ten percent of Americans, mostly young people, consider an AI a close friend.