TITLE
Inference Economics: The Hidden Constraint Shaping AI Product Strategy

DESCRIPTION

Many teams rushing to build AI products focus on the visible layers: models, prompts, and user interfaces.

But in practice, the hardest product decisions often emerge elsewhere — around cost unpredictability, model reliability, latency, governance, and how these constraints shape what products can realistically deliver.

For product managers, this creates a new challenge:
AI capability is no longer the main constraint, operational reality is.

This session explores how these invisible constraints influence product strategy and roadmap decisions when building AI-powered products.

Topics we’ll explore together:
- Why many AI product ideas fail after the prototype stage
- The new trade-offs product leaders must manage when shipping AI features
- How infrastructure realities influence product design decisions
- Lessons emerging from teams building real AI products today

This session is intended as a discussion with the audience, not a lecture, where we share experiences and perspectives from teams navigating AI product development.

SPEAKER
George Nie
Product Marketing Strategist at CLōD (clod.io)

George Nie is Product Marketing Strategist at CLōD, where he explores how AI infrastructure quietly shapes the way products are built and shipped. He partners with engineering and business leadership to translate emerging shifts in AI inference into narratives that empower developers to move from experimentation to real-world impact.