The Innovator's Dilemma
Source: https://www.hbs.edu/faculty/Pages/item.aspx?num=46 ↗
Disruption from below: initially inferior technologies that serve ignored markets and end up displacing incumbents.
Established firms fail not from incompetence but because their processes, values and metrics are optimised for the current market, not the emerging one.
Relevant to AI because agentic tools let small teams inside the organisation disrupt internal processes without asking for permission — disruption is no longer only external.
The bar moves: you are not only competing with a startup, you are competing with a team of five inside your own company wielding Claude.
Central argument
Christensen argues that well-managed, rational incumbents are systematically destroyed by disruptive technologies not because they make mistakes, but because they make correct decisions optimised for their current customers and markets. Disruptive innovations begin as inferior products serving marginal or ignored segments, making them invisible to established firms' metrics and unattractive to their best customers. The paradox is structural: the very processes, values, and resource allocation mechanisms that make a company successful today make it constitutionally incapable of responding to disruption tomorrow.
Critique
The framework has significant predictive weakness — it is far more useful as a retrospective narrative than as a forward-looking diagnostic tool, since many technologies that fit the 'disruptive' pattern never actually displace incumbents. Christensen's model also underweights the role of regulation, network effects, and switching costs, which frequently allow incumbents to absorb or neutralise threats that theory would predict should unseat them. The result is a compelling explanatory lens that can be misapplied to justify almost any underdog bet, lending strategic cover to decisions that may not warrant it.
Why it matters for product
For a CPO, the sharpest implication is that the threat model has changed: agentic AI tools now allow small internal teams to rebuild workflows, automate discovery, and ship product iterations without crossing formal budget or headcount thresholds — which means disruption can originate inside the organisation, bypassing the governance structures designed to coordinate large teams. This inverts a core assumption of roadmap prioritisation: if a five-person team wielding AI can approximate what a thirty-person team previously delivered, then your capacity planning, team topology, and delivery metrics are measuring the wrong constraints. The strategic question is no longer only 'which startup should we watch' but 'which internal team is quietly making our current operating model obsolete.'