The United Steelworkers approved a bargaining programme in Pittsburgh covering more than 300 oil refinery workers, with demands including 25% wage increases and AI job protections — specifically, a block on management using AI to monitor workers' movements, assess productivity, and automate disciplinary decisions1.
The outcome fell short on every front. Workers received sub-inflation wage increases and no binding guarantees against AI-driven job replacement. The monitoring restrictions — the most novel element of the demands — did not survive negotiations.
The result matters because these were not weak bargaining conditions. Oil refineries cannot be offshored. The workers hold specialised safety certifications that take years to obtain. The United Steelworkers is one of the largest and most experienced industrial unions in North America, with a decades-long record of extracting concessions from energy companies. If organised labour with structural leverage in a sector with high barriers to automation cannot secure meaningful AI protections, the prospects for less organised workforces are considerably worse.
Only roughly 10% of US workers belong to unions. The four strategies Labor Notes documented in March 2026 — monitoring restrictions, job guarantees, retraining provisions, and AI committee formation — are available only to that fraction. The New York Times tech workers' eight-day strike produced an AI impact committee but no binding job protections. Early AI-era bargaining is producing consultation mechanisms, not enforceable constraints. The gap between what unions are demanding and what they are winning is the gap the legislative proposals — the Warner-Hawley bill at federal level, California's SB 951 at state level — are meant to fill.
