To transform a 45-year-old enterprise, allocate 60% of capacity to core business bets, 20% to tech debt (KTLO), and protect 20% for strategic innovation. Frame this not just as resource allocation, but as a governance model where each bucket has different metrics, cadences, and failure tolerances.
When facing a build-versus-buy decision, the key filter is whether the initiative deepens your competitive moat with customers. If a project doesn't leverage your proprietary data or capabilities to strengthen this moat, it's better to partner or buy a solution, even if it seems core to the business.
To secure a budget for strategic innovation in a public or PE-owned company, link it directly to investor perception. Instead of calling them "future bets," frame initiatives as essential "proof points" the market needs to see to re-value the company as a high-growth technology platform, not a legacy distributor.
A crucial, non-obvious skill for product leaders is holding two contradictory ideas at once. This includes maintaining deep conviction in a vision while remaining genuinely open to being wrong. This mental flexibility allows for decisive action without succumbing to dogmatism, which is critical for navigating complex product decisions.
Elevate AI from a productivity tool to a strategic sparring partner. Prompt the AI to adopt a critical persona, like a skeptical board member, and instruct it to find weaknesses, challenge assumptions, and ask hard questions about your strategy. This provides surprisingly rigorous and unbiased feedback to strengthen your plan.
To drive AI adoption in a legacy enterprise, begin with an internal tool that augments employee workflows. An "AI Sales Assistant," for example, keeps a human-in-the-loop, allowing the organization to gain confidence, measure tangible results, and build conviction before deploying AI directly to customers.