Investors and markets don't care about AI-driven efficiencies in go-to-market or engineering; those are table stakes. The existential question for any software company is how AI disrupts not just *how* you build, but *what* you build for your customers. Failure to reinvent the core product is a death sentence.

The most successful organizations will view AI not as a tool for cost-cutting (doing the same with less) but as an expansionary technology. This mindset focuses on using AI to create new products, enter new markets, and dramatically increase scope, rather than just incremental efficiency gains.

The true power of AI lies beyond optimizing existing workflows. The key skill is shifting from asking 'How can AI help my job?' to 'What can we do now that was previously impossible or uneconomic?' This reframes AI as a tool for radical innovation, not just incremental efficiency.

The market is rejecting 'lame co-pilots' that provide minor workflow improvements for an extra fee. Successful AI products create entirely new, powerful use cases and deliver substantial, tangible value on day one, justifying their place in the budget.

The litmus test for meaningful AI integration is whether it fundamentally changes how users interact with the product. If no one's workflow is challenged or disrupted, the AI is merely a "bolt-on." A foundational approach, like shifting from users prompting a system to the system guiding users, is inherently riskier but truly innovative.

The initial phase of any new technology is applying it to old problems. The transformative phase is creating things previously impossible. The key question for AI is not 'How can we do X faster?' but 'What new thing can we do now?', similar to how Spotify redefined music beyond an online CD store.

With nearly every public B2B company now featuring AI, the novelty has worn off. 'AI washing' by adding a simple co-pilot is no longer a differentiator. To succeed, companies must use AI to create genuinely disruptive products that solve problems in ways that were previously impossible.

Now that generative AI is accessible to all, claiming "we have AI" is table stakes. The real competitive advantage lies in clearly articulating what the AI *does* for the user to create a differentiated product experience and value proposition. The key question is always, "So what?"

Simply incorporating AI features is "performative." The true measure of being an AI company is whether the technology has tangibly re-accelerated revenue growth. Without that lift, the AI label is meaningless to investors and the market, as demonstrated by Meta's successful turnaround.