Competing in the Age of AI

Lesson preview

The competitive moat isn't the AI model itself — everyone rents the same models at the same price. The real advantage belongs to whoever owns the feedback loop: proprietary workflow data flowing in, corrections flowing back, the system quietly improving with every cycle. This is also exactly why MIT's research shows a 95%/5% split. The failing 95% use AI as a static tool — plug it in, get output, done. The winning 5% treat AI as something that learns: it has memory, captures feedback, and adapts over time. Two Harvard frameworks and one MIT dataset, one conclusion: build the loop, not the demo. Iansiti & Lakhani describe an 'AI factory' — an operating model that industrializes the process of turning raw data into predictions, insights, and decisions that guide (or fully automate) business operations. It has four components: a data pipeline that gathers, cleans, and connects data; algorithm development that builds the actual prediction engines; an experimentation platform so changes are validated by evidence, not intuition; and software infrastructure that wires all of it into the real business. The strategic shift this enables: instead of choosing a market position and defending it, you design a learning loop and compound it. More usage → more data → better predictions → better outcomes → more usage. That cycle, not the model, is the moat.

Frequently asked questions

Who is "Competing in the Age of AI" for?

This Expert module in AI Strategy & Implementation is for operators, founders and growth teams who run AI in real work and want production-grade judgement. It takes about 8 minutes and ends with a 3-question quiz.

Do I need to code?

No. This module is about decisions, economics and implementation planning, so no coding is involved.

What comes before and after this module?

Before "Competing in the Age of AI", take "The Evidence Base: Why Most AI Initiatives Fail" (module 1 of AI Strategy & Implementation). Afterwards, continue with "Opportunity Selection: Which Workflows, Which Shape".

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