IBM Says APAC Enters AI “Breakout Moment” As Enterprises Shift From Cost Cuts To New Revenue

Asia‑Pacific enterprises are entering a “breakout moment” in their AI journeys, with the majority now redirecting investments from narrow productivity gains toward large‑scale business‑model reinvention and new revenue streams, according to a new IBM report.​

The “APAC AI Outlook 2026,” published in early January, finds that 64% of organizations surveyed are shifting AI spending toward core business functions that directly impact customer value and top‑line growth. By 2026, 95% of global executives expect generative‑AI initiatives to be at least partially self‑funded, reflecting growing confidence that AI can create sizable revenue pools rather than simply trimming costs.​

IBM’s Institute for Business Value highlights a mindset change: executives in markets such as Singapore, Australia, Japan and South Korea are increasingly designing AI systems with scalability and governance in mind from the outset. Instead of isolated pilots, enterprises are embedding AI in workflows across sales, customer service, risk, supply chain and product development, often using platform‑based architectures and reusable models.​

The report emphasizes what it calls “transferable value”—the idea that AI‑enabled knowledge, workflows and models can be ported across industries, accelerating maturity without reinventing the wheel. For example, risk‑assessment models developed in financial services can inform underwriting in insurance; predictive‑maintenance algorithms used in manufacturing can be adapted for healthcare or energy equipment.​

Case studies span a wide geography, including EastWest Bank in the Philippines, Telkom in Indonesia, Delta Electronics in Taiwan, and software providers in Australia and India. Their experiences reveal that success hinges on integrating AI into everyday processes, ensuring data quality, and building cross‑functional teams that bring together domain experts, data scientists and engineers.​

For Southeast Asian governments and regulators, the report’s findings are both encouraging and cautionary. On one hand, the potential for AI to drive new growth is substantial, especially in sectors like manufacturing, agriculture and public services. On the other hand, rapid scaling raises concerns around ethics, bias, privacy and workforce displacement, prompting calls for robust governance frameworks and reskilling strategies.

The Gulf is closely aligned with these themes. GCC governments have launched national AI strategies and are investing heavily in data centers and AI research, often in partnership with Asian tech providers. IBM’s notion of “transferable value” is particularly relevant as Gulf banks, insurers and energy companies seek to adapt AI use cases proven in Asia to local regulatory and market conditions.

Over the next two years, IBM argues, the winners in APAC will be those that scale AI “with discipline”—aligning projects tightly with business priorities, building governance into design, and treating AI capabilities as strategic assets that can be reused across the enterprise. That message resonates in boardrooms from Tokyo and Seoul to Singapore, Sydney and Dubai, as AI shifts from experimental hype to a core driver of competitive advantage.