Thoughts on Generative AI, product leadership, and enterprise AI transformation

The enterprise world is buzzing with the promise of agentic AI. With the AI agent market projected to surge from approximately $7.8 billion in 2025 to over $52 billion by 2030, the race to deploy autonomous AI agents capable of reasoning, planning, and acting on behalf of organizations has never been more intense. According to […]

The rise of powerful Large Language Models (LLMs) has transformed AI from simple Q&A systems into intelligent agents capable of executing complex, multi-step workflows—such as booking flights, resolving customer issues, or orchestrating business processes. At the core of this shift is an agent’s ability to interact with real-world systems through tools and APIs. The Model […]

The long-sought potential of autonomous AI agents has been hampered by Large Language Model (LLM) limitations, notably the finite “context window”—the model’s working memory. A persistent issue, even with large windows, is the “lost in the middle” phenomenon, where LLMs forget details in the middle of a context, recalling only the beginning and end. However, […]

As we move further into the decade, the landscape of artificial intelligence is not just evolving; it is undergoing a revolutionary transformation. For business executives and decision-makers, understanding the trajectory of these changes is no longer a matter of competitive advantage but of corporate survival. The year 2026 is poised to be a pivotal moment […]

A recent MIT report, “The GenAI Divide: State of AI in Business 2025,” sent shockwaves through the tech world with a startling headline: 95% of generative AI projects in enterprises fail to deliver a return on investment. This statistic quickly became fodder for a narrative of disillusionment, with many developers and commentators on platforms like […]
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