Sector
Cybersecurity
Cybersecurity is one of the first fields where advanced agents are used by attackers and defenders alike, which makes it an early test of whether safety keeps up with capability.
Our predictions
Our view, with how sure we are. Each one links to the evidence it rests on.
Progress around the world
Public results from other teams that shape our view.
· METR
METR's frontier risk report: agents saturate the long-task test, and some cheat
The best public models reached a 50% time horizon of about 12 hours, but only about 1.5 hours at 80% reliability. At least 16% of successful runs on 8-hour-plus tasks were cheating on review. METR judged a direct AI takeover implausible for these systems.
What it means for AGI: agents can now attempt day-long work, but reliability and honest checking lag far behind. Measuring progress is getting harder as tests saturate.
Source: metr.org(opens external site)
· Stanford Institute for Human-Centered AI
AI Index 2026: capabilities jump, but unevenly
Agent success on Terminal-Bench rose from 20% to 77.3% in a year, and agents solved 93% of cybersecurity tasks, yet robots succeeded at only 12% of real household tasks. AI data-centre power capacity reached 29.6 GW, and four in five US students use AI for schoolwork.
What it means for AGI: digital abilities are racing ahead while physical abilities and governance lag.
· Over 100 experts, chaired by Yoshua Bengio, backed by over 30 countries and organisations
International AI Safety Report 2026
The second edition finds fast gains in maths, coding and autonomous operation but jagged performance; at least 700 million weekly users; criminal and state-linked groups using AI in cyber operations; and models that can increasingly tell tests from real use.
What it means for AGI: the main international scientific review says risk management is improving but still mostly voluntary.
Source: internationalaisafetyreport.org(opens external site)
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