India’s technology sector is preparing for a more outcome focused phase as the country moves closer to 2026, with industry leaders stressing the need for scale, accountability, and real world impact.
Sindhu Gangadharan, Managing Director of SAP Labs India and Chairperson of Nasscom, said the industry has already built strong foundations in areas such as artificial intelligence, cloud computing, cybersecurity, and digital platforms. These capabilities are supported by a deep talent pool and a mature ecosystem that includes startups, global capability centres, and multinational enterprises.
“The next chapter is about converting capability into sustained business and societal impact. AI adoption is becoming sharper and more grounded in real use cases. Enterprises are asking clearer questions around productivity, resilience and trust,” she said.
Companies are now expecting technology to be embedded into core business processes instead of being used only for experimentation. This change places more responsibility on the technology sector to deliver solutions that are secure, explainable, and focused on long term value.
“India is well positioned to lead this phase. Our strength lies in combining engineering depth with domain understanding and the ability to execute at scale. As an industry, success in 2026 will depend on how well we collaborate across ecosystems, invest in skills and apply technology with purpose,” Gangadharan said.
She added that the opportunity ahead is significant, with the potential to strengthen enterprises, empower people, and reinforce India’s position as a trusted global technology partner.
Looking ahead to 2026, Gangadharan said the true test of artificial intelligence will be its ability to deliver consistent and context aware results for customers.
“We are seeing a clear shift away from generic intelligence toward AI that understands the nuances of an enterprise — its data, processes, policies and customer behaviours. Customer specific AI performs better because relevance drives decisions, not raw intelligence alone,” she noted.
As enterprises plan their next steps, the message is clear. Artificial intelligence must move from novelty to reliability. The greatest advantage will come from AI systems that truly understand how a business works and how it serves its customers every day.
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