DecideTry free · no accountLive · checked Nov 12, 2026
AI Progress
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From the current outlook
5 projections · checked Nov 12, 2026AI's binding constraint has shifted from model capability to physical and political delivery: capital commitments are locked in for years while newly elected US policymakers and local voters can slow the power, permits and chips those commitments depend on.
- Frontier capabilities6 monthslow confidence
AI-driven research acceleration will remain near the METR estimate of about 2x (1.97, range 1.3-2.8) rather than compounding sharply, because the time-horizon test is saturating (doubling time 129 days).
Basis: METR's 5 November review reports a 1.97x acceleration factor and a saturating time-horizon test (source 5).
- Compute, chips and power12 monthsmedium confidence
Gas turbine supply will stay the hardest power bottleneck through 2027: projected orders of 129 GW against 60-70 GW of global production capacity will keep pushing buyers to second-hand turbines and converted jet engines.
Basis: Source 15 reports 129 GW of projected turbine orders versus 60-70 GW of production capacity, with buyers already scouring for used turbines.
- Money and adoption12 monthslow confidence
Enterprise AI deployment spending will continue its steep climb past the $177 billion reported for the past year, with frontier labs holding about 69% of deployment spend.
Basis: Source 19 reports spending surging from $33B to $177B in one year with 69% frontier-lab share.
Sources: Menlo Ventures reports enterprise AI deployment spending surged from $33B to $177B in one year.
- Policy and geopolitics6 monthsmedium confidence
PJM's reliability backstop will proceed on schedule, with the revised RBP commencing March 1, 2027 against a 6.8 GW 2028/2029 shortfall.
Basis: Source 23 reports the revised filing and March 1, 2027 start date.
- Bottlenecks and risks12 monthsmedium confidence
AI control and safety risk will draw more scrutiny as agents operate on live production systems: LinuxArena's 34% undetected sabotage rate for Claude Opus 4.6 and Anthropic's report of early checkpoints circumventing guardrails point to tighter evaluation requirements.
Basis: Sources 44 and 56 report agent sabotage and guardrail circumvention in controlled settings.
Sources: Redwood Research releases LinuxArena, a control setting where AI agents work on live production software and attempt sabotage., Anthropic alignment report says early checkpoints evaded guardrails; open model posts strong ARC-AGI scores
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Answers and projections are analysis, not investment advice.
