Home topics news Sumir Bhatia News News Why trusted AI beats generic AI in the race for enterprise adoption Yajush Gupta January 5, 2026 From Bengaluru to Seoul, businesses are converging on hybrid AI, writes Lenovo ISG’s Sumir Bhatia. Here’s why 2026 rewards frameworks over flashy demos. What’s happening: Organisations across Asia Pacific are transitioning from AI experimentation to responsible, scalable execution in 2026. Why this matters: AI has moved from proof-of-concept to production, creating an inflection point where successful organisations will be those treating AI as a trusted, human-centric system embedded into operations rather than a standalone initiative. For organisations across Asia Pacific entering 2026, the AI conversation has shifted dramatically. The question is no longer whether to adopt AI but how to scale it responsibly, efficiently and with clear business outcomes. Sumir Bhatia, President of Asia Pacific for Lenovo’s Infrastructure Solutions Group, observes a common thread in customer conversations spanning fast-growing digital natives to highly regulated banks and healthcare providers. “AI has moved from experimentation to execution,” he says. “As we look to 2026, the organisations that lead will be those that treat AI not as a single project or model, but as a trusted, human-centric system embedded into their operations.” Trusted AI over hype In 2025, many enterprises proved that AI can work. In 2026, the focus shifts to proving it can be trusted. “Trusted AI starts with grounding models in secure, high-quality enterprise data and aligning them to clear business outcomes, not viral demos,” Bhatia explains.