AI 2027 Tracker: Predictions vs Reality

2 min read Original article ↗

Tracking predictions from the AI 2027 scenario against reality.

Predictions Confirmed

16/31

53 total tracked

Speed Ratio

0.70×

~70% of predicted pace

Overall Assessment

Mixed

Directionally plausible, uneven pace

Scenario Speed Ratio

Reality is progressing at ~70% of AI 2027's predicted pace

0.70× Current 1.0×

Status Breakdown

16 Confirmed

3 Ahead

8 On Track

4 Behind

13 Emerging

9 Not Yet Testable

Visual Overview

Status Distribution

Category Coverage

By Category

Recently Updated

Current Assessment

August 2026 Summary

The tracker remains mixed, with the status distribution unchanged. Infrastructure spending, data-center construction, coding tools, computer use, cyber evaluations, and restricted frontier access continue to move quickly. These areas support the scenario's broad direction, while leaving several numeric thresholds and causal claims unresolved.

The central test is still the AI R&D feedback loop. Independent shadow evaluations found that agents completed engineering work in two six-day AI research projects but did not make substantial progress on the central research questions. This cautions against treating coding throughput as evidence of a lab-wide research multiplier, although two cases cannot establish the population rate.

Bottom line: keep the overall assessment and approximate 0.70× speed ratio unchanged. The portfolio is strongest on capability deployment and physical investment. The transition from engineering automation to measured, compounding research acceleration remains unverified.

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