Systemic Effects of AI
Riccardo Campa · CRC Press eBooks · 4 Nov 2026
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Abstract
This chapter examines the systemic effects of artificial intelligence by analysing its simultaneous impact on labour and financial systems within the robonomic system. Artificial intelligence is treated as a general-purpose technology reshaping not only productivity and employment structures, but also asset valuations, investment patterns, and macro-financial stability. From a robonomics perspective, labour and financial markets are structurally coupled: employment dynamics influence income formation, consumption, and creditworthiness, while financial conditions shape investment decisions, automation incentives, and the conditions under which work is created or displaced. The chapter identifies two critical uncertainties in the short to medium term. The first concerns the capacity of labour markets and welfare systems to compensate for AI-driven displacement, particularly in white-collar and knowledge-intensive occupations. The second relates to the stability of AI-related asset markets, where elevated valuations, large-scale capital expenditure, and growing financial interdependencies increase the risk of destabilising corrections. Given the interaction between these uncertainties, the chapter adopts a scenario-based analytical framework rather than point forecasting. A 2×2 matrix generates four trajectories-Alpha (Business as Usual), Beta (Accelerated Disruption), Gamma (Silent Squeeze), and Delta (Systemic Breakdown)-each characterised by a distinct configuration of employment risk, financial fragility, and systemic stress.
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- 2026 (recently)
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