TLDR Product Management 2026-02-20

The CEO wants to see that AI feature shipped yesterday. The code works. The model works.

Then you look at billing, and it's gone horribly wrong. Finance needs to manually fix invoices. Sales ops are managing 50+ SKU variations. Engineers are writing custom scripts to reconcile charges.

A a new whitepaper from Metronome gets to the root cause: AI products have multiple usage dimensions: tokens, GPU hours, API calls - which means that billing needs to become a runtime system, not a record-keeper. Also covered:

• Why AI breaks legacy CPQ and ERP
• How credit-based monetization works
• How to audit your current stack

Download the whitepaper →

Product-market fit shows up as real pull, and it shows up quickly. Founders win by hiring underestimated talent, protecting their vision, working proactively, and applying advice with judgment rather than dogma.

AI will pressure SaaS, but it is not killing it. Large vendors still hold durable advantages in enterprise infrastructure and proprietary data, even as AI reshapes pricing and growth dynamics.

Zero to one is about pruning, not speed. Success comes from knowing what you must own and cutting everything else.

AI agent pricing has not stabilized, so Salesforce is letting customers self-select across multiple models. The market is drifting toward hybrids that combine predictable seats with usage or outcomes, especially to avoid automation shrinking seat-based revenue.

When everything is urgent, nothing is. Planview's ebook on prioritizing what matters offers an AI-driven framework for identifying high-value work that drives real impact - not just work that feels important. It's a useful read for PMs tired of defending their roadmap against every executive pet project. Download free

Product ownership is about shaping systems and people, not managing backlogs. Great Product owners clarify thinking, prevent debt, and build teams that make better decisions on their own.

AI belongs in instrumental work where the product is the goal. It should be constrained where human authorship or human presence is the point.

AI made creation cheap. Attention is now scarce. In a saturated world, reach and capital may be the only moats left.

The “aha moment” alone does not drive growth. Sustainable growth comes from owning and refining the full new user journey while thoughtfully integrating multiple growth levers.

Figma closed the design-to-code loop by making AI-generated UI instantly editable and round-trippable.

A backlog is not a plan.