Rising oil prices linked to tensions in Iran may be dominating inflation headlines, but economists are increasingly pointing to a longer-term concern: AI inflation.
The rapid expansion of artificial intelligence is creating strong demand for semiconductors, data centres, software and technology infrastructure, generating price pressures that could last far longer than any temporary energy shock.
Global spending on AI is expected to exceed $800 billion this year alone and could reach trillions of dollars in the years ahead. The investment boom is already affecting corporate earnings, economic forecasts, stock valuations and broader economic growth.
Growing demand creates supply bottlenecks
While much of the debate around artificial intelligence has focused on its long-term impact on employment and productivity, fewer analysts have examined the inflationary pressures that may emerge before those benefits materialise.
The surge in investment has increased demand for memory chips, computing equipment and software services, creating bottlenecks across global supply chains.
As shortages emerge, manufacturers are facing higher costs that may eventually be passed on to consumers through more expensive products and services.
Fed study points to rising technology costs
A recent report from the Federal Reserve System highlighted one area where AI-related demand may already be influencing consumer prices.
Researchers examined a sharp increase in the “computer software and accessories” component of the Personal Consumption Expenditures (PCE) index, the inflation measure closely watched by the Fed.
Although the category represents a relatively small share of the overall consumer basket, it recorded an unprecedented rise between November and March.
Prices increased by 5.5% year-on-year during the four months. Software accounted for more than half of that increase, while prices for flash memory devices surged by around 70% amid growing memory chip shortages in South Korea driven by AI-related demand.
Higher AI costs could spread across the economy
Economists note that the impact of AI inflation may extend beyond technology products.
Industries heavily dependent on semiconductors, including automotive manufacturing and energy systems, could also face rising costs if chip shortages persist.
Attention is increasingly turning to the actual cost of operating AI systems. Businesses are beginning to track AI computing expenses more closely, while some analysts expect future contracts to be repriced as the true costs become clearer.
If AI proves more expensive to produce and deploy than currently anticipated, companies may respond by raising prices, cutting jobs, reducing investment or limiting the adoption of AI technologies.
Risk of prolonged inflation pressures
The concern for policymakers is that AI inflation could contribute to a period of stubbornly elevated inflation before any productivity gains eventually help lower prices.
Economists warn that central banks may face a difficult balancing act if inflation remains high while economic growth slows.
According to Wei Yao, the challenge resembles what he described as a “convexity” problem in monetary tightening, where policymakers must respond to overlapping economic shocks.
While energy prices remain a key inflation risk, some economists believe the artificial intelligence boom could prove to be a more significant and longer-lasting source of price pressures across the global economy.
Source: Mike Dolan/Reuters
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