The future belongs to leaders who can bridge product leadership and AI strategy execution. In India, 92 percent of knowledge workers have already integrated AI tools into their jobs, and 93 percent of business leaders plan to adopt AI agents within the next 18 months, signaling an organizational shift toward pervasive AI-driven operations (Microsoft and LinkedIn, 2024 Work Trend Index). Yet, Gartner estimates that by 2026, more than 80 percent of enterprises will have used generative AI APIs or models, but fewer than 30 percent will have a mature AI governance framework, exposing a widening strategy and execution gap (Gartner, 2024).
This disconnect reveals a defining challenge for 2026. Adoption is widespread, but execution is uneven. The leaders who will stand out are those who can both build market-ready products that drive revenue and retention, and shape enterprise-wide AI strategy that delivers measurable value with governance and accountability. Kellogg Executive Education offers two complementary routes to build exactly this capability.
1) Build Products That Scale: KLG PM – Post Graduate Certificate in Product Management
Why this matters now
India’s digital economy is expanding rapidly, but product success is no longer defined by shipping features. According to McKinsey, companies that outperform on product development are 1.5 times more likely to achieve above-average revenue growth, largely because they connect customer insight, analytics, and execution more effectively. The modern product manager is now expected to own outcomes, not outputs.
What leaders build here
• End-to-end product ownership
Participants learn to lead the full lifecycle, from customer insight and hypothesis generation to MVP development, roadmap prioritization, launch, and growth.
• Evidence-based decision-making
The program emphasizes opportunity sizing, pricing strategy, and portfolio decisions that directly link product bets to financial impact.
• Designing for adoption, not just release
Through UI and UX principles, prototyping, and experimentation, leaders learn how to de-risk launches and improve adoption before scaling.
• Working fluently with data and AI
Participants use analytics and GenAI-enabled workflows, including tools like ChatGPT, Copilot, Mixpanel, and Maze, to accelerate discovery, iteration, and validation.
• Shipping executive-ready artifacts
The program culminates in stakeholder-ready deliverables such as go-to-market plans, roadmaps, metrics frameworks, and a capstone that demonstrates business value.
Who it is for
Mid- to senior-level professionals and lateral movers from engineering, UX, marketing, and sales who need cross-functional product leadership with measurable outcomes.
• Duration: 36 weeks
• Fees: ₹2,95,000 + GST
2) Lead AI at the Enterprise Level: KLG AIS – AI Strategies and Applications for Leaders
Why this matters now
While AI usage is accelerating across functions, PwC reports that only a small percentage of organizations have been able to scale AI into enterprise-wide value creation. The challenge is no longer access to technology, but prioritization, governance, and execution at scale. Leaders must decide where AI creates value, how to deploy it responsibly, and how to align it with business strategy.
What leaders build here
• Strategic AI prioritization
Participants apply Kellogg frameworks such as AI Canvas 2.0, AI Radar 2.0, and AI Capability Maturity Models to assess readiness, risk, and value potential.
• Operational AI across the value chain
The program focuses on mapping high-impact use cases across customer experience, operations, and support functions using jobs-to-be-done logic.
• Responsible and governed AI leadership
Ethics, governance, regulatory exposure, and workforce impact are embedded into transformation planning, not treated as afterthoughts.
• Fluency in GenAI and agentic AI
Through faculty-led and live components, leaders gain clarity on AI agents, RAG-style architectures, and their enterprise implications.
• A CEO-ready business case
The capstone takes the form of a “Memo to the CEO,” laying out AI readiness, prioritized use cases, ROI logic, and a sequenced execution roadmap.
Who it is for
C-suite and senior leaders, consultants, and functional heads in marketing, sales, and technology who need a strategy-first approach to AI adoption. No coding background required.
• Duration: 12 weeks
• Fees: ₹1,65,000 + GST
What This Signals for Leaders in 2026
In 2026, leadership advantage will come from execution, not experimentation. As AI becomes embedded in everyday work and organizations push for measurable returns, professionals who can either build products with clear market impact or lead AI strategy with discipline, governance, and value focus will stand apart. The next phase of growth will be shaped by leaders who translate intent into outcomes and align their capabilities with where the market is heading, not where the hype is.