Artificial intelligence is best understood not as a single economic force but as two distinct shocks arriving on different schedules. On the demand side, AI is already driving a pronounced surge in investment and consumption, which can push prices up in the short to medium term. On the supply side, it promises a productivity-driven expansion of output that tends to lower inflation—but only over the medium and long term, and only if firms adopt the technology and workers acquire the skills to use it. That sequencing, more than any single number, is what makes AI a puzzle for central bankers and investors.
Introduction: Setting the Stage for AI's Economic Impact
The framing comes from two directions. A policy brief authored by Bank for International Settlements economists, published by SUERF in July 2024, states that AI "is poised to reshape the economy by affecting aggregate demand (via consumption and investment) and aggregate supply (through productivity)." Separately, reporting on remarks by Kevin Warsh, who was reported as Federal Reserve chairman in the coverage, describes AI as a historic supply-demand shock whose near-term demand expansion creates price and investment pressures before long-term productivity benefits spread across the broader economy.
The apparent contradiction in expert commentary—AI as both inflationary and disinflationary, both job-destroying and growth-boosting—dissolves once the two channels are separated. The demand channel works through spending today; the supply channel works through productive capacity built over years. The rest of this article unpacks each channel and then combines them into a single framework.
AI as a Demand-Side Shock: Immediate Investment and Consumption Surges
The demand-side shock is immediate. On the investment side, Warsh's remarks, as reported, point to massive private investment in AI technologies as a pronounced surge in aggregate demand—capital spending on data centers, chips, and infrastructure that registers in the economy now, not later. This is the classic pattern of a technology boom: the money spent building the new capacity arrives years before the capacity itself expands output.
Consumption adds a second, subtler channel. PwC's technical analysis of AI's macroeconomic impact traces a transmission mechanism in which AI-enhanced products increase consumer utility: greater variety through personalisation, higher quality, time saved during work and leisure, and falling prices from increased competition. As goods become more attractive relative to leisure, substitution toward consumption raises demand further, reinforced by an income effect from rising affordability. The BIS authors likewise identify consumption and wages, alongside investment, as the demand-side levers.
