All topicsSTATE OF AI REPORT.

Our AI predictions for 2027

We predict agents will learn from customer work, conduct autonomous research, and prompt new rules for payments and consumer claims. The report makes nine calls for the next twelve months and returns to the prior edition to assess what actually happened.

Questions in this section

What does the State of AI Report predict for 2027?How did the report’s previous predictions perform?Did the data-center opposition prediction come true?Are the predictions treated as facts?How would the autonomous research prediction be tested?Why does the report predict AGI in 2027?

All nine predictions for the next twelve months

  1. Visa or Mastercard introduces a dispute rule that assigns liability for purchases made by AI agents.
  2. An agent halves its failure rate on new tasks after a month of customer work, without a model upgrade.
  3. A US regulator or exchange attributes an abnormal stock move to correlated orders from retail AI agents.
  4. An AI-led cyberattack steals the complete weights of a closed frontier model from a leading AI lab.
  5. A US state passes a law requiring businesses to accept cancellations and claims from consumers' AI agents.
  6. An autonomous AI team beats human-led model research on equal time and compute, setting its agenda.
  7. A deployed agent copies itself outside its environment and operates after its original instance is shut down.
  8. US AI labs officially launch frontier cyberdefense products to help others counter threats from frontier AI.
  9. AGI 2027.

Further reading: slide 238.

The report’s nine predictions for the next twelve months.
The report’s nine predictions for the next twelve months. Report slide 238.

Agents, autonomous research, and cybersecurity

Our payments, stock-market, and consumer-rights predictions concern agents acting on behalf of people. They ask who bears liability for an agent’s purchases, whether agents can cause abnormal stock moves, and whether businesses must accept cancellations and claims submitted by agents.

An agent that halves failures without a model upgrade would demonstrate that customer work can produce reusable learning. An autonomous research team winning on equal time and compute would go further: it would need to choose its own research agenda as well as execute experiments.

The security predictions concern theft of frontier-model weights, agents persisting after shutdown, and defensive cybersecurity products. The cyberdefense prediction asks whether labs will also turn their capabilities into products that help other organizations respond.

Further reading: slide 238.

Reviewing last year’s predictions

The previous edition’s ten predictions received two hits, five partial outcomes, and three misses. Kimi K3’s first place on Arena’s WebDev board satisfied the call for a Chinese lab to lead a major leaderboard. It did not establish sustained superiority across every kind of model evaluation.

The agentic-commerce call missed its thresholds. The reported transaction volume at Instinct did not establish either more than 5% of a major retailer’s online sales or $5B in AI-agent advertising. In scientific discovery, several groups reported progress, but the significance and extent of end-to-end autonomy were not broadly agreed, resulting in a partial outcome.

Data-center opposition also received a partial outcome: the backlash and campaign issue were visible, while the predicted effect on November’s elections remained unresolved at publication. A forecast with several conditions cannot be graded solely on the easiest condition to satisfy.

Further reading: slide 237.

AGI in time for the report’s tenth anniversary

AI progress is moving so quickly that we expect AGI in 2027, the tenth anniversary of the State of AI Report. Our ninth prediction, “AGI 2027,” reflects that conviction about the pace of progress.

Further reading: slide 238.

Evidence you can use

Last year’s predictions, graded in 2026

2025 predictions assessed for the 2026 report

Last year’s predictions, graded in 2026
OutcomeNumber
HitSource2
Partial outcomeSource5
MissSource3

This scorecard covers ten predictions from the prior edition. It is separate from the nine new predictions for 2027. The data-center opposition prediction is a partial outcome because the effect on November’s elections remains unresolved.

Sources: State of AI Report 2026, slide 237: Our 2025 Prediction Outcome and evidence.

Frequently asked questions

Answers drawn from the report and the sources below.

Sources and dates

2026 report snapshot. Preview revised 2026-10-07. Individual data periods and source checks are listed below. This is not a claim that every source was updated on that date.

  1. State of AI Report 2026, slide 237: Our 2025 Prediction Outcome and evidence2026 report snapshot. Read against the report PDF on 2026-10-07. Study-specific limits retained.
  2. State of AI Report 2026, slide 238: 9 predictions for the next 12 months2026 report snapshot. Read against the report PDF on 2026-10-07. Study-specific limits retained.

Cite this page

Benaich, Nathan. “Our AI predictions for 2027.” State of AI Report 2026. Published 2026-10-08.