Tech Leaders Outline Blueprint for Responsible AI

At the India AI Impact Summit 2026, global technology leaders from Palo Alto Networks, HCLTech, NXP Semiconductors, and ServiceNow converged to argue that the next phase of artificial intelligence will be defined as much by trust, security, and governance as by breakthroughs in capability. Their keynotes framed AI as entering a decisive moment where institutions must catch up with innovation to ensure safe, scalable deployment across
economies and societies.
Nikesh Arora, CEO of Palo Alto Networks, called AI the fastest technological shift in modern
history and warned that innovation is currently outpacing institutional readiness. He stressed that AI “cannot be governed out of existence” and that the real challenge is building trust as rapidly as capabilities advance, especially as autonomous, agentic systems emerge. Governance, accountability, and security, he argued, must be foundational design principles rather than afterthoughts.
Roshni Nadar, Chairperson of HCLTech, described AI as a structural economic inflection
point where knowledge itself becomes programmable. She contended that future advantage will rest not on scale alone but on ownership of platforms, intellectual property, and innovation. For India, she urged a strategic transition from being primarily a services
powerhouse to becoming an IP powerhouse, noting that services scale with effort while
intellectual property compounds without limits.
Adding a hardware and edge-computing lens, Lars Reger, CTO of NXP Semiconductors,
emphasized embedding intelligence directly into devices and physical systems. He argued
that AI’s future lies not only in massive data centres but also at the edge, inside vehicles,
factories, medical devices, and critical infrastructure. Without device-level trust, including
functional safety and robust cybersecurity, he warned, AI adoption will stall.
From the enterprise operations perspective, Amit Zavery, President, CPO, and COO at ServiceNow, focused on the challenge of scaling AI beyond pilots. Many organisations, he
noted, are experimenting with AI, but true scale demands governance, visibility, and control built into the underlying platforms. He insisted that security must be embedded within AI, from design through deployment, rather than bolted on as an external add-on.
Together, the four leaders converged on a shared thesis: AI’s next era will be defined less by model sophistication and more by its ability to operate securely, efficiently, and responsibly inside real-world systems. Their messages spanned cybersecurity, IP ownership, edge intelligence, and enterprise governance, but all pointed to one core idea: treating trust itself as infrastructure, so that AI innovation reinforces institutions, protects users, and delivers resilient impact at scale.