Descriptions:
In a Bloomberg Tech interview, economist Yael examines how rising AI costs intersect with UK inflation data and the Bank of England’s monetary policy framework. The conversation covers whether “chipflation” — price increases driven by AI chip demand — is likely to register meaningfully in the UK Consumer Price Index, and why the BOE remains focused on energy costs, labor market conditions, and geopolitical risks rather than AI as a primary inflation driver.
A notable disclosure: Yael’s team has built an internal index tracking the cost of AI across different frontier models, finding significant price disparity between providers. The conclusion is that companies will increasingly need to develop model-routing strategies — directing different tasks to cheaper or more expensive models — to manage rising AI expenditure. The segment also contrasts the scale of US hyperscaler capital expenditure with Europe’s comparatively limited data center buildout, explaining why energy and water resource pressure from AI infrastructure is less acute in the UK than in the United States.
The interview offers a rare macro-economic perspective on AI cost trends, including how institutional economists are beginning to formally track and index AI pricing, even as central banks have not yet elevated AI to a primary monetary policy consideration. Relevant for anyone tracking enterprise AI cost management, model pricing dynamics, or the divergence between US and European AI infrastructure investment.
📺 Source: Bloomberg Tech · Published August 19, 2026
🏷️ Format: Interview
