Why 2026's agents failed to replace staff
mit tech review reports that despite theoretical white-collar automation, 2026 lacks data on ai's economic impact as agents remain unproven in enterprise.
mit technology review reports that halfway through 2026, generative ai has normalized into everyday office tasks without resolving the fundamental questions about employment. editor will douglas heaven notes that while teams of agents could theoretically revolutionize white-collar work, there is currently almost no data proving their economic effect or mass adoption. this uncertainty persists despite hype from industry leaders, meaning the predicted transformation of the workforce remains speculative rather than realized.