One‑Quarter of Executives Say AI Is Reshaping Business Models, Adoption Leaps Ahead in Asia and Africa

TL;DR: About 25% of executives say AI is fundamentally changing their business models, and adoption is twice as high in Asia and Africa as in North America and Europe.

A survey of 1,735 senior leaders across eight regions and eight industries reveals a clear split in AI perception. One‑quarter of respondents describe AI as “mostly” or “extensively” influencing how they operate, while the remaining three‑quarters see it as a peripheral tool.

The data show a stark geographic divide. In South Africa, Central and South Asia, and East/Southeast Asia, 40‑42% of executives report that AI has substantially altered their business models and delivered a strategic edge. By contrast, only about 20% of North American and European leaders claim a similar level of impact, indicating a more cautious rollout in the West.

Industries that handle large data volumes and complex operations—mining, financial services, professional services, and transportation—lead the adoption curve. Executives in these sectors cite predictive analytics, automation, dynamic pricing, and knowledge‑work augmentation as primary use cases.

Despite the optimism, the survey highlights AI’s limitations. When tested on standard tax scenarios, leading AI systems repeatedly misapplied thresholds, miscalculated liabilities, and erred on credit eligibility. These mistakes underscore the technology’s lack of human reasoning and the risk of over‑reliance in high‑stakes domains.

The findings suggest two parallel trends. First, firms that embed AI into core processes can gain a competitive advantage, especially where data intensity is high. Second, regions pushing rapid adoption may outpace governance frameworks, raising concerns about unchecked errors and regulatory compliance.

Executives worldwide face a choice: invest in AI capabilities while building robust oversight, or risk falling behind peers that are already leveraging the technology for strategic gain. As AI continues to evolve, the next wave of corporate strategy will likely hinge on how well organizations balance innovation with control.

What to watch next: Monitor how regulatory bodies in high‑adoption regions respond to AI errors and whether Western firms accelerate their rollout to close the adoption gap.