Key facts
- The UK economy is expected to contract by 0.1% in April.
- The contraction is attributed to the lagged impact of an energy price shock stemming from the conflict in Iran.
- Analysts also point to political uncertainty, retail sales decline, and sector-specific issues like strikes as dampening factors.
- Rachel Reeves, the Chancellor, is facing pressure to implement growth policies, including accelerating AI adoption.
- Barriers to AI adoption include a lack of skills and unclear regulations.
The UK economy is projected to contract in April, reversing earlier growth momentum due to the delayed impact of an energy price shock linked to the conflict in Iran. City analysts anticipate a 0.1% decline, with official figures due Friday. Production and spending are expected to remain subdued as households and businesses grapple with higher energy costs.
Factors contributing to the slowdown include a recent 0.4% drop in retail sales and a likely decline in the services sector. Additionally, strikes on the London Underground and unfavorable weather have impacted activity. Further downside risks to growth forecasts stem from scheduled doctor strikes in June, following those in April which affected the health sector.
Analysts suggest that the 0.6% growth recorded in the first quarter may be unwound as firms reduce stockpiling amid anticipated trade disruptions through the Strait of Hormuz. Some forecasts indicate a larger contraction due to weaknesses in the retail and communication sectors.
In response to growth concerns, business groups are urging Chancellor Rachel Reeves to expedite growth policies. Reeves has highlighted the adoption of Artificial Intelligence (AI) as a key strategy to boost productivity and business growth. However, a recent report indicated that skills shortages and regulatory uncertainty are significant barriers to AI adoption. A government review proposes pooling AI data and providing training for entry-level AI roles, with companies like HSBC, Rolls-Royce, Revolut, and Linklaters contributing data to an institute overseeing AI policy.