← Live scorecard
On track

Can AI replace knowledge workers? (the 2025/26 call, graded)

Last updated: July 11, 2026 · Updated as verdicts change
By the AGI Scorecard team · methodology & independence
On track. Aschenbrenner predicted frontier AI would outpace college graduates on knowledge work by 2025/26. As of mid-2026 it broadly clears the bar: ~83% on GDPval, ~80% on SWE-Bench Pro, agents in production — though “drop-in coworker” reliability still lags the benchmark scores.

The prediction

One of the essay's most concrete near-term claims: by 2025/26, frontier models would reach or exceed the level of a smart college graduate across knowledge work — the precursor step to a "drop-in remote worker."

The evidence

The benchmark picture supports it. Frontier models score around 83% on knowledge-work benchmarks like GDPval, and agentic coding sits near 80% on SWE-Bench Pro, with agents deployed in real production workflows. On the benchmark bar, this is comfortably On track.

The caveat — and the flip condition

Benchmarks aren't the same as reliable autonomy. The pre-registered condition: this moves to Wrong if, by end-2026, frontier models still can't complete a majority of representative entry-level knowledge-work tasks end-to-end without human cleanup — the "drop-in coworker" bar, not the benchmark bar. The gap between scoring 80% on a test and reliably doing a junior employee's job unsupervised is exactly where the verdict could still turn — and with the flip condition dated end-2026, this is the scorecard's next verdict to resolve.

So can AI replace knowledge workers?

Partially, and unevenly. It clears the capability bar Aschenbrenner named and is automating slices of knowledge work; it has not become a reliable, unsupervised replacement for a knowledge worker. On track — with the reliability gap as the thing to watch.

Frequently asked questions

Can AI replace knowledge workers in 2026?

Partially. Frontier models clear the capability bar Aschenbrenner predicted for 2025/26 (~83% GDPval, ~80% SWE-Bench Pro) and automate slices of knowledge work, but aren't yet reliable unsupervised replacements. The prediction is graded On track.

Was Aschenbrenner right that AI would outpace college graduates?

On the benchmark bar, yes — graded On track. Frontier models reach ~83% on knowledge-work benchmarks and ~80% on agentic coding. The open question is 'drop-in coworker' reliability.

What would prove this prediction wrong?

It flips to Wrong if, by end-2026, frontier models still can't complete a majority of representative entry-level knowledge-work tasks end-to-end without human cleanup.

The live scorecard updates as models ship and verdicts change.

View the live scorecard →

Get the weekly AGI progress briefing

Verdict changes, lab milestones, and what they mean for the 2027 clock. Free — no hype, just signal.

Subscribe free →