For decades, AI evaluation has relied on pitting machines against humans in controlled tasks like chess or essay writing. This approach generates clean rankings but fails to reflect real-world use. MIT Technology Review argues current benchmarks fundamentally misunderstand AI's role, as they assess isolated performance rather than integration into human workflows.

The core problem: AI is rarely deployed alone, yet is judged as if it operates in a vacuum. This misalignment obscures systemic risks and economic impacts, leaving organizations unprepared for actual deployment challenges.