64% of Indian enterprises now list Generative AI (GenAI) as a top strategic priority. But here’s the catch: most are flying blind when it comes to implementation.
As excitement around GenAI spreads across boardrooms and IT budgets, a new gap is emerging between ambition and execution. While leaders want to integrate AI into customer service, marketing, product, and analytics, the internal systems and teams needed to deliver that vision are often unprepared.
In this edition, we break down what’s happening on the ground, where the risks lie, and what investors, business leaders, and professionals should watch next.
Why GenAI Is Everywhere in 2025. From content generation and code writing to customer engagement and workflow automation, GenAI’s impact is no longer theoretical.
India has seen an explosion in enterprise adoption thanks to:
- Cost-effective cloud infrastructure
- Local language LLMs like Sarvam AI
- Rise of sector-specific copilots and agentic tools
- Government support via the IndiaAI mission and AI Safety Institute
Large firms in BFSI, IT services, healthcare, and manufacturing are launching pilot projects or scaling existing tools. Tata Consultancy Services, Infosys, and HCL Technologies are embedding GenAI across internal functions and client delivery models.
The Execution Bottleneck. Despite this momentum, most firms face three challenges:
- Change Management Readiness
- Talent and Training Gaps
- Ethical and Regulatory Blind Spots
Opportunity for Forward-Thinking Investors and Tech Leaders The winners in this GenAI wave won’t just be those who adopt fast, but those who adopt wisely.
Look for companies that:
- Invest in AI training across departments
- Build internal AI governance bodies
- Collaborate with ecosystem players (startups, academia, regulators)
- Focus on solving real business problems over hype-driven use cases
Case Study: Tredence’s Agentic AI Playbook Tredence, a data science and AI solutions firm, recently launched a structured Agentic AI framework in Bengaluru. It helps Chief Data & Analytics Officers (CDAOs) move from pilot purgatory to scaled deployments by aligning tech, people, and processes.
This kind of approach could be the difference between AI as a cost center vs. a value driver.
What This Means for You (as an Investor or Professional)
- If you’re a retail investor: Track IT firms and SaaS players building AI capabilities and change management infrastructure.
- If you’re a business owner or CXO, start building your internal AI playbook before the gap widens.
- If you’re a professional: Upskill beyond tools. Learn prompt design, data literacy, and AI ethics.
Final Thought: India’s GenAI surge is real. But the difference between hype and impact will come down to how well we prepare our people, not just our platforms.