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Many companies across the Asia-Pacific region have transitioned from mere AI experimentation to comprehensive enterprise transformation. However, only a few have achieved results that provide a genuine competitive edge, with a significant obstacle being the workforce’s skill preparedness, according to several industry leaders.
Executives from a major telecommunications provider, a leading bank in Singapore, and an Indian consumer goods company, along with regional regional leaders from a global consulting firm, participated in a webinar to discuss the current state of AI transformation within organizations.
The event referenced a recent industry report revealing that 86% of APAC executives plan to boost AI investments this year. Additionally, 77% are already utilizing AI-driven agents, and 76% believe that AI offers more benefits for revenue growth than for reducing costs.
“Organizations throughout Asia-Pacific increasingly recognize that reinventing talent is essential for scaling AI,” said the AI and data leader for the region at the consulting firm. “In fact, 41% identify skills readiness and development as the primary challenge in expanding AI initiatives.”
Shifting from isolated use cases, companies are now focusing on redesigning core business processes end-to-end. For instance, a prominent telecom has deployed a network management tool that consolidates telemetry data across multiple sites affected by storms, reducing reporting times from 11 minutes per site to under two minutes for the entire network. They have also introduced AI agents to resolve billing and delivery errors, which previously caused delays of three to five days for customer handsets.
“We are determined to make this telecom the most AI-enabled carrier worldwide,” emphasized the Chief AI and Business Services Officer. “Our growing understanding of this technology convinces us that AI is the future—improving customer experiences, employee satisfaction, and overall growth.”
A major bank in the region has implemented over 300 AI and data analytics projects spanning revenue enhancement, risk management, and efficiency. Examples include a recommendation system for business banking clients and AI-based conduct risk detection within its private banking division. They were also among the first in the region to utilize a new AI tool for all 28,000 employees, and have developed a proprietary generative AI platform to standardize AI use in areas like credit control and wealth management.
As economic fragmentation increases, data sovereignty becomes a key concern. Around 62% of APAC companies plan to increase investments in sovereign AI, seeking hybrid solutions that combine the reach of global cloud providers with local-controlled infrastructure. China stands out in this landscape, with 93% of Chinese companies planning to increase AI investments. About 26% are actively deploying AI agents across various functions, and a third are piloting these in specific units.
Chinese firms tend to prioritize operational efficiency and employee productivity over product innovation, diverging from global preferences. Industry experts note China’s rapidly evolving AI ecosystem, characterized by innovations across infrastructure and foundational models, often emphasizing lean approaches and open-source development. China is becoming an important partner for many Asian markets, developing hybrid sovereign AI strategies tailored to local regulations and security considerations.
Regarding talent development, the consulting firm has reskilled approximately 550,000 employees worldwide on AI fundamentals and has trained 80,000 advanced AI practitioners to serve regional clients.
A major Indian consumer goods company faced cultural challenges in AI adoption. Its CIO described how the company made AI tools “invisible” by integrating them into daily tasks like spreadsheet analysis and presentation creation, before expanding their use to larger functions.
“AI is a digital colleague, not a replacement,” the CIO emphasized. “It’s designed to assist, helping employees focus on higher-value tasks and become more productive.”
Similarly, a regional telecom has prioritized a people-first approach by embedding AI engineers within business teams to demystify the technology and launching a platform called Skills Edge to monitor and promote skill development and career growth.
Despite these efforts, only about 8% of global companies qualify as AI front-runners, capable of scaling advanced AI across their entire organization, according to recent assessments. The gap between ambition and actual execution remains significant, with industry leaders cautioning that in this fast-moving era, waiting even a month can feel too long.
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