The Rise of AI Agents Exacerbates the Mismatch Between AI Capabilities and Social Resources

According to an analysis by Meng Yan, the rapid advancement of AI is creating a 'productivity spillover' issue where individual gains in efficiency are not being absorbed by existing organizational networks. While many professionals are aggressively adopting AI agents and workflows, these improvements often fail to translate into economic value because the bottleneck lies in external resource connectivity and organizational decision-making speeds rather than individual output. The author notes a growing mismatch: those in secondary network nodes, such as developers and analysts, are rapidly increasing their productivity, while key decision-makers—entrepreneurs and investors—are lagging in AI adoption. Since AI innovation has become increasingly programming-driven since late 2025, this gap in technical application is hindering the potential for AI to trigger meaningful shifts in social and economic power structures.