
Sreeram Narayan
11.3K posts

Sreeram Narayan
@sreespace
Tweets/ RT on AI, #ProductManagement, Tech & Startups. CXO. Finance. 💙 Cricket. Not here to give/ take offence. All commentary personal.





AI inference cost (which we pay in dollars) may rival our oil import bill and blow up our current account deficit. Great post on that below. What is the solution? I believe that high developer productivity can be achieved without the high AI inference bill. We have to invent our way out of trouble. Stay tuned.
















Build revenue measurement infrastructure before the board asks. The answer to “how much incremental revenue has AI brought?” lives in three places: conversion lift in AI-assisted workflows, reduced time-to-market on product features, and quality improvement metrics in AI outputs. If you don’t have that measurement infrastructure built, start now, not after the question gets asked in a QBR.

The J-Curve Nobody Warned You About Here’s the scenario I hear from CXO constantly: you freed up budget by deferring headcount. You bought the tooling. Six months later, the AI tab has grown 2–3x as adoption spread, usage scaled, and new use cases kept getting added. The investment curve is not a straight line upward. It’s a J. For two years, “productivity gains” was the default justification for every AI investment. It was the right answer for the pilot phase. The market has now moved on. The enterprise buyer has matured. Boards are now asking the harder question: how much incremental revenue has AI actually brought? Only 20% of organisations are already achieving revenue growth through AI, according to Deloitte’s 2026 State of AI report


Something quieter is happening under the productivity headline. A generation of product managers is entering the workforce not knowing how to write the first three lines of a PRD from a blank page. A generation of engineers is being onboarded with AI coding assistants before they’ve ever debugged a complex system by hand. And we’re celebrating both. Meanwhile, enterprise AI budgets are growing faster than the evidence for returns. The tools are proliferating. The token bills are climbing. And the hard questions - What did this actually produce? What did we give up? are getting pushed to the next quarter. 86% of enterprises grew their AI budgets in 2025. Only 5% can demonstrate“substantial ROI” meaning AI investments that demonstrably improve the bottom line beyond the total cost of implementation, including tooling, integration, training, and organisational change.


