The Horizon
Doubling roughly every four months since 2023; AI can now autonomously complete tasks worth months of human work
What is the current The Horizon?
The AI Task Horizon, measured by METR (Model Evaluation and Threat Research), tracks the duration of professional tasks that frontier AI models can perform autonomously — currently at 1044.8 hours for the leading model (Claude Opus 4.6) in April 2026. This metric quantifies AI capability growth in terms directly relevant to workforce displacement: as the task horizon extends, the range of human jobs that AI can substitute for expands. Source: METR benchmark evaluations.
The length of task that AI models can complete autonomously has crossed 700 hours — roughly four months of full-time professional work at 40 hours a week — and the curve is still bending upward, not flattening.
METR, an independent AI evaluation lab, measures what it calls the autonomous task horizon. The metric asks how long a task an AI system can complete without human intervention while still matching expert human performance. In February 2019, the horizon sat at zero. In February 2024, it was a few hours. In April 2026, it reached 1044.8 hours — roughly 18 weeks of full-time work at 40 hours a week.
The doubling time matters as much as the level. METR's own analysis places the horizon's doubling rate at roughly every four to seven months across the past several years. That is not the shape of a curve that is about to flatten. Whether it continues at this rate is an open empirical question, but the trajectory to date is accelerating.
A capability benchmark is not a labor-market outcome. What it measures is the ceiling of what AI can do unsupervised — not how much of that ceiling businesses have adopted, nor how that adoption translates into displaced workers. The Adoption Curve shows the deployment side. The AI Cut shows where companies have begun to name AI when they announce layoffs. The Tech Drought shows how tech-sector openings have responded.
What the data suggests, rather than proves, is a mechanism. Capability rises. Adoption follows. Displacement eventually appears in the wage, quits, and unemployment data downstream. The horizon is the most upstream of those signals, and right now it is moving quickly.
Explore Further
Is this happening to you?
Are AI tools now doing tasks you used to be paid for?
How has The Horizon changed over time?
Most affected counties
Counties with the highest labor scores in the County Distress Index.
Explore all 3,144 counties →| Period | Value | YoY Change |
|---|---|---|
| Apr 2026 | 1,044.8 | +925.10 |
| Feb 2026 | 718.8 | +658.40 |
| Dec 2025 | 352.2 | +313.40 |
| Nov 2025 | 293 | +254.20 |
| Aug 2025 | 203 | +182.70 |
| May 2025 | 101.2 | +94.20 |
| Apr 2025 | 119.7 | +116.50 |
| Feb 2025 | 60.4 | +56.80 |
| Dec 2024 | 38.8 | +34.80 |
| Oct 2024 | 20.5 | +16.50 |
| Sep 2024 | 20.3 | — |
| Jun 2024 | 11.4 | — |
Frequently Asked Questions
What is the AI Task Horizon?
The AI Task Horizon measures the duration of professional tasks that frontier AI models can perform autonomously, as evaluated by METR (Model Evaluation and Threat Research). The current leading capability is 1044.8 hours as of April 2026 — meaning AI can now sustain autonomous work on complex tasks for extended periods.
Why does the task horizon matter for jobs?
As the task horizon extends, the range of human jobs that AI can substitute for expands. Tasks requiring sustained focus over hours — writing reports, analyzing data, coding features, processing documents — increasingly fall within AI capability. This directly affects the employment prospects of knowledge workers.
Where does the AI Task Horizon data come from?
METR (Model Evaluation and Threat Research) conducts standardized benchmark evaluations of frontier AI models, measuring their ability to perform real-world professional tasks autonomously over extended durations. Results are published as new model capabilities are evaluated.
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