Asia Pacific firms lead in AI spending & CEO-led strategies
Asia Pacific companies are accelerating the adoption of artificial intelligence (AI), outpacing their counterparts in North America and Europe in both investment and strategic leadership. Recent findings show that APAC businesses are allocating substantial resources to generative AI and are more likely to have CEOs directly oversee AI strategies.
Investment increases
Research from Forrester highlights that 26% of businesses in Asia Pacific have invested between USD $400,001 and USD $500,000 in generative AI. This figure puts the region well ahead of North America, where 19% of firms report similar levels of spending, and Europe at 17%. The report credits higher investment to rapid market growth in the region and the drive for competitive speed.
Strategic leadership
A notable difference between regions is executive control over AI initiatives. In Asia Pacific, 33% of AI decision-makers say their Chief Executive Officer owns the main AI strategy. This compares to 18% in North America and 8% in Europe. The centralisation of AI decision-making is streamlining the integration of AI with overall business goals in APAC firms.
"Asia Pacific's leadership in AI adoption reflects bold investment, decisive leadership, and a clear understanding of regional dynamics. With CEOs taking ownership of AI strategy, organisations are better positioned to align technology with business transformation. But success requires more than ambition, it demands adapting to local market conditions. APAC's momentum shows that tailoring AI strategies to regional realities is the key to unlocking meaningful and sustainable impact." said Frederic Giron, VP and Senior Research Director, Forrester.
Deployment patterns
APAC companies are pushing forward with deep and broad implementations of AI across core functions. Adoption levels for generative AI in IT operations reach 63%, while data management and engineering functions register 46% adoption. These figures are consistently above those found in North America and Europe, and suggest an operational rather than experimental approach towards AI integration.
Workforce transformation
The expansion of AI within enterprises across Asia Pacific is driving substantial workforce changes. According to the survey, 76% of respondents in the region expect that many workers will need to move to different roles as AI adoption progresses. Nearly half-47%-have already seen reductions in headcount or have replaced roles with AI capabilities. Additionally, 66% of firms are opting to slow down hiring to evaluate the changing demands brought about by automation.
Employee readiness
High employee readiness is cited as a key enabler for APAC's rapid AI rollout. Research indicates that 91% of employees in the region are motivated to learn about AI, with the same percentage having received formal AI training. Furthermore, 89% report knowing how to prompt generative AI systems for their work tasks, reinforcing the region's strong adoption rates.
Regional differences
The report notes that circumstances influencing AI strategies vary by region. Asia Pacific's competitive and expanding markets encourage rapid technology deployments. In contrast, European businesses are more conservative, emphasising regulatory compliance and employee protection. North America focuses on balancing efficiency with digital innovation.
Use cases and global position
Asia Pacific leads globally in employing AI for IT operations and data engineering. North America prioritises operational efficiency and digital customer service, while Europe's applications tilt towards improving employee experiences under stricter regulatory guidance.
Data from the 2025 AI Usage Index by Anthropic shows four of the top five countries for enterprise AI usage-Singapore, Australia, New Zealand, and South Korea-are based in APAC. This demonstrates the region's strong presence in the global landscape for AI technology adoption.
Future outlook
Firms in Asia Pacific are now preparing for a period where AI adoption will be shaped by governance and regulatory frameworks. The report projects that enterprises globally may delay a quarter of their planned AI spending into 2027, responding to emerging market realities. Approximately 60% of major multinationals are expected to appoint leaders responsible for AI governance. In Asia Pacific, emphasis is expected to shift towards sovereignty, security, and responsible AI deployment as the technology becomes more embedded in both national infrastructure and corporate strategy.
