Karnataka's numbers explain why Bengaluru is called India's Silicon Valley. The state contributes about 9% of India's GDP with roughly 5% of its population. Participants at the Bengaluru edition of the SpeakIn Asia Dialogues Forum 2026, held on 21 and 22 January, described a "40-40-40 rule": Karnataka accounts for around 40% of India's software exports, GCCs, unicorns and chip design work. Bengaluru is home to some 2 million IT professionals and 100,000 PhDs, and 400 Fortune 500 companies run R&D centres in the city. The state is now targeting a USD 1 trillion economy by 2032, up from about USD 360 billion today.

The forum traced this position to 110 years of deliberate choices. In 1909, the Tata family gifted land for the Indian Institute of Science. In the 1930s, the Maharaja of Mysore built India's first hydroelectric power plant. Public research centres followed in the 1970s and 1980s, the IT boom in the 1990s, and in 1998 Karnataka launched India's first state IT policy.

Participants identified a three-pillar model behind that record. Government acts as enabler, through initiatives such as the Karnataka Digital Economy Mission and AI and quantum centres of excellence. Industry acts as partner, with global firms running innovation hubs rather than back offices. Academia supplies depth, from IISc to newer university partnerships with Nvidia.

"Policy is not just what I think is right. It's a collective decision. It should be for the industry and by the industry, not the government alone." Sanjeev Kumar Gupta, CEO, Karnataka Digital Economy Mission

Yet the forum's central finding was a gap. A multi-city study across manufacturing, healthcare and financial services, shared with participants, found that every organisation talks about AI, around 63% use it mainly as a search tool, only 11% have it in production, and just 3% realise meaningful value. The challenge, participants argued, is not capability but integration. Technology must be embedded in core workflows. Processes must be redesigned rather than patched. And AI should increase decision velocity, not simply reduce cost.

Rejin Surendran, Global CIO of Wipro Enterprises, gave an example of what integration across the value chain looks like: using AI to break the English-language barrier so that a frontline salesperson in Tamil Nadu can receive guidance in Telugu and understand their incentives clearly. That, he argued, is economic participation as much as productivity.

The most urgent workforce challenge was the collapse of skill lifecycles. Skills that once lasted 20 years now stay relevant for about 2, shifting the emphasis from degrees to continuous competency building. Participants also named a mindset gap that training alone cannot close: graduates who ask to be told what to do, rather than identifying a problem and proposing a solution. Dr. Shivananda Koteshwar of Astera Labs argued that skilling is insufficient on its own. What India needs is competency, a combination of knowledge, skills, values and attitude.

The forum also issued a serious warning. Participants cautioned that India is building AI capability mainly for external markets, with prosperity accruing elsewhere. Without deliberate focus on domestic value creation, India risks splitting into an AI-enabled elite and an AI-excluded majority. Shobha Jagathpal of Morgan Stanley added a competitive concern: India's national AI policy lags other nations, and major GCC expansions are increasingly heading to Hyderabad, Pune and Chennai.

The recommendations reflected all three pillars. Government should accelerate AI policy and extend growth to emerging cities such as Hubli, Mysuru and Mangaluru. Industry should invest in mindset as well as skills and move AI from experimentation to production with measured business impact. Academia should co-create curriculum with industry, offer real-world projects from the first year and build competency rather than perishable skill sets.

Karnataka has led India's technology story for more than a century. The forum's message was that its next chapter depends on choosing integration over isolation, and doing so deliberately.