AI Adoption Gaps Highlighted Across Europe, UK, US and Asia

European companies are entering their strongest earnings season in more than three years, but analysts note a persistent AI performance gap with the United States, where second‑quarter profit growth is projected at 23.7% versus 15.3% in Europe. Excluding energy, the gap widens, underscoring concerns that Europe lacks enough AI‑driven growth engines.

In the United Kingdom, firms have doubled AI spending yet rank low on AI maturity. Only 20% have testing, auditing and risk‑assessment processes, and many remain stuck in pilot phases. Manufacturing companies repeat pilots and suffer from poor data quality, leading 42% of AI projects to be scrapped in 2025.

In the United States, small‑business owners report high adoption – 68% view AI positively and 74% are using or testing tools – but trust remains low. Eighty‑two percent cite barriers such as data‑security concerns and doubts about accuracy; fewer than half trust AI for routine tasks.

Across Southeast Asia, senior‑level commitment is seen as the decisive factor for AI transformation, with national AI strategies in Singapore, Malaysia and Indonesia shaping talent reinvention. A World Economic Forum report highlights a global shortage of human skills needed to work effectively with AI.

Market analysts project the AI model‑risk‑management sector to grow from $5.7 bn in 2024 to $10.5 bn by 2029, driven by regulatory pressure and the need for governance. Legal‑tech firms note that autonomous AI workflows remain rare, with only about 22% of in‑house counsel expressing high trust in AI‑generated outputs. Corporate executives are shifting from token‑burn metrics to measuring saved engineering hours and cost reductions as true AI ROI.