India AI Impact Summit 2026 – Day 2: Enterprise AI Moves From Strategy to Execution

Day 2 at Bharat Mandapam shifted the spotlight from high-level policy vision to practical AI deployment.

While Day 1 centered around national direction and global leadership, Day 2 focused on enterprise adoption, infrastructure readiness, and implementation at scale. Panels and closed-door discussions leaned heavily into how AI is being integrated across industries, not just discussed conceptually.

Emergent was present at the summit, engaging with enterprise leaders and AI ecosystem participants across sessions focused on scalable AI deployment, workflow automation, and operational intelligence.

Here is what defined Day 2.

Key Takeaways from Day 2

• Enterprise AI is moving beyond pilots. Discussions emphasized measurable ROI, deployment frameworks, and production-grade AI systems inside large organizations.

• Infrastructure readiness is a priority. Leaders spoke about compute access, data pipelines, model governance, and security frameworks as foundational requirements.

• Responsible AI remains central. Governance, model transparency, and regulatory alignment were recurring themes across panels.

• Cross-sector AI integration is accelerating. Finance, healthcare, manufacturing, and public services were repeatedly referenced as active adoption zones.

• AI talent and upskilling are urgent challenges. Enterprise leaders acknowledged the growing gap between AI ambition and skilled workforce availability.

Enterprise Panels Focus on Scaling AI

Sessions on Day 2 featured executives from major Indian IT and global technology firms discussing how organizations are transitioning from experimentation to structured deployment.

Representatives from Tata Consultancy Services, Infosys, and HCLTech participated in discussions around:

• AI integration into enterprise workflows

• Data modernization strategies

• AI governance frameworks

• Large-scale automation initiatives

Unlike Day 1, which focused on positioning and strategy, Day 2 sessions concentrated on operational execution. Major development that has come amidst the summit is Infosys plans to integrate Anthropic’s Claude models into its Topaz AI platform to build so-called “agentic” systems.

Global AI Leaders Continue Policy Dialogue

Global AI leadership including representatives associated with OpenAI, Google, and Anthropic continued discussions around:

• Model safety standards

• International cooperation on AI regulation

• Infrastructure collaboration between governments and private labs

Day 2 reinforced that enterprise deployment and policy oversight are evolving in parallel rather than separately.

Expo Floor Highlights Applied AI Use Cases

The India AI Impact Expo remained active alongside summit programming, with hundreds of exhibitors showcasing AI-driven systems across sectors including:

• Agriculture

• Healthcare

• Financial services

• Manufacturing

• Climate and sustainability

The emphasis was on live, deployable solutions rather than conceptual demonstrations.

Conclusion

Day 2 of the India AI Impact Summit 2026 marked a clear transition from vision to implementation.

If Day 1 established India’s ambition in AI policy and global positioning, Day 2 examined what it takes to operationalize that ambition inside enterprises and public systems.

With sustained participation from global AI firms, Indian enterprise leaders, and ecosystem players such as Emergent, the summit’s second day highlighted a critical shift. AI is no longer just being discussed at the highest levels. It is being architected for real-world deployment.

Next, Day 3 coverage will move deeper into developer sessions, technical tracks, and infrastructure conversations shaping the foundation of India’s AI ecosystem.