‘FOBO’ is driving China’s AI anxiety

A New Kind of Tech Anxiety Emerges in China

For decades, China's relationship with emerging technology has followed a familiar script: a new innovation arrives, the public and enterprises alike embrace it with enthusiasm, and adoption accelerates faster than almost anywhere else in the world. Mobile payments, e-commerce, high-speed rail — each followed this pattern. According to recent commentary, artificial intelligence is breaking that mold. Instead of unrestrained excitement, AI's rollout is reportedly being met with something new: apprehension, or what's being termed 'FOBO' — the Fear Of Becoming Obsolete.

Why FOBO Is Different From Ordinary Tech Skepticism

FOBO differs meaningfully from the more familiar 'fear of missing out.' Rather than anxiety about being left behind by not adopting a technology fast enough, FOBO describes a deeper unease about what happens after adoption — namely, whether workers, managers, and even entire companies will still have a meaningful role once AI systems are woven into daily operations. This distinction matters enormously for enterprise AI adoption strategies. If the dominant emotional undercurrent among employees and mid-level managers is fear of displacement rather than excitement about productivity gains, the rollout of AI copilots and automation tools inside organizations could face quiet resistance, underreporting of failures, or reluctance to fully integrate these tools into workflows.

Implications for Copilot Deployments and ROI Measurement

Enterprise AI copilot deployments depend heavily on user trust and voluntary engagement — tools work best when employees actively incorporate them into decision-making rather than treating them as a checkbox exercise or existential threat. If FOBO is indeed widespread among China's workforce, companies rolling out AI copilots may find adoption metrics look strong on paper (mandated usage, executive mandates) while actual behavioral integration lags. This has direct consequences for AI ROI case studies: many of the productivity gains promised by AI vendors assume enthusiastic, exploratory use by employees. Anxiety-driven adoption, by contrast, tends to produce minimal, defensive usage patterns that undercount the technology's real potential — and may distort the case studies companies use to justify further investment.

A Signal Worth Watching for AI Transformation Companies

For firms guiding AI transformation efforts, this shift in sentiment is a signal worth taking seriously, particularly given China's outsized role as both an AI development hub and a bellwether for global tech adoption trends. If a market long characterized by techno-optimism is now exhibiting caution, it may foreshadow similar undercurrents elsewhere as AI's labor-market implications become more tangible. Companies designing change-management programs around AI rollouts may need to address psychological and career-security concerns explicitly, not just technical training, to achieve the adoption levels their ROI models assume.