This joint discussion explores how organizations are moving from simplistic operational AI to agentic AI that drives innovation and new revenue. Through industry use cases and platform strategies, it shows how AI-enabled systems are disrupting markets and reshaping competitive advantage, with practical guidance for growth.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Move from operational AI (cost cutting, automation) to innovation AI (new revenue streams, new products). Industry use cases and platform strategies.
Why it matters
Cost cutting hits a floor — you can only cut so far. Revenue ceilings are higher. The companies winning with AI are the ones building new products, not just optimising old ones.
The hard parts
New product lines need new go-to-market motions, not just new tech. The hardest part of an AI-native product is selling it, not building it.
Playbook moves
(1) Pick one ambitious AI-native product per year. Resource it as a startup-within-a-company. (2) Don't dilute it with feature work for existing products. (3) Set a 12-month kill criterion — if it hasn't found product-market fit, kill it cleanly.
The surprise
The companies that win with agentic AI will look more like *platforms* than products. Plan to expose APIs that *your customers' agents* can call. The customers aren't buying your UI in two years; they're letting their agents shop your APIs.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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