Key Developments

A comprehensive new study from Anthropic has provided the clearest picture yet of AI’s actual impact on labor markets, revealing a significant gap between AI capabilities and real-world adoption. The research by Maxim Massenkoff and Peter McCrory, published March 5, 2026, found that “actual AI adoption is a fraction of what AI tools are capable of performing,” suggesting much of the feared workplace displacement remains theoretical.

Simultaneously, Goldman Sachs released projections that AI will eventually displace 11 million US jobs—over 6% of workers—with analyst Briggs declaring “the big story in 2026 in labor will be AI.” The investment bank expects this transition to unfold over roughly a decade, potentially increasing unemployment by 0.6 percentage points during the adjustment period.

Industry Context

These findings come as labor market data shows concerning trends, with US nonfarm payrolls falling by 92,000 in February—far below expectations and marking the third job loss in five months. Meanwhile, the IMF’s managing director warned that AI is “hitting the labor market like a tsunami, and most countries and most businesses are not prepared for it.”

Employee anxiety is mounting, with concerns about AI-related job loss jumping from 28% in 2024 to 40% in 2026. However, the research suggests the transformation is more nuanced than wholesale job elimination—AI is primarily automating specific tasks within roles rather than erasing entire job categories.

Practical Implications

For European businesses and policymakers, these findings suggest a critical window for preparation. The World Economic Forum projects that by 2030, AI will displace 92 million jobs globally while creating 170 million new roles—but this net positive masks enormous churn underneath.

The gap between AI capability and adoption indicates organizations have time to develop reskilling programs and transition strategies. However, the Anthropic study’s warning about AI’s “unrealized potential” suggests this window may be shorter than expected once technical and organizational barriers are overcome.

Open Questions

Critical uncertainties remain around the pace of AI adoption acceleration, the effectiveness of retraining programs, and how regulatory frameworks—including the EU AI Act—will influence deployment patterns. The disconnect between current modest adoption and projected massive displacement raises questions about what specific catalysts will trigger more widespread AI integration across European workplaces.

Source: Anthropic Research