When a startup pivots, it often adapts its existing software instead of rebuilding. This leads to a convoluted codebase built for a problem the company no longer solves. This accumulated technical debt from a series of adaptations can hobble a company's agility and scalability, even after it finds product-market fit.

Historically, platform shifts like PCs, the web, and mobile were seen as threats to existing software players. In reality, each transition simply expanded the total addressable market (TAM), creating more opportunities for both new and old players rather than causing mass extinction.

Over four decades, Dell has seen countless entrepreneurs fail. He argues their downfall isn't typically due to external competition but from their own fatal mistakes, poor choices, and a failure to deeply understand what's happening in their own business.

For incumbent software companies, surviving the AI era requires more than superficial changes. They must aggressively reimagine their core product with AI—not just add chatbots—and overhaul back-end operations to match the efficiency of AI-native firms. It's a fundamental "adapt or die" moment.

Regardless of your industry, your true existential threat comes from technological disruption, not direct competitors. You are in the same position as the taxi industry before Uber. Your business model will be challenged by technology, so you must either be on the side of eating or getting eaten.

MongoDB's CEO argues that successful pivots during tech transitions like cloud or AI are fundamentally change management challenges, not technical ones. The biggest risk for established companies is complacency. Leadership must force the organization to lean into new platform shifts, even when their maturity is uncertain, to avoid being disrupted like Nokia or BlackBerry.

In the age of AI, 10-15 year old SaaS companies face an existential crisis. To stay relevant, they must be willing to make radical changes to culture and product, even if it threatens existing revenue. The alternative is becoming a legacy player as nimbler startups capture the market.

Unlike past tech shifts, incumbents are avoiding disruption because executives, founders, and investors have all internalized the lessons from 'The Innovator's Dilemma.' They proactively invest in disruptive AI, even if it hurts short-term profits, preventing startups from gaining a foothold.

A key pattern among founders who fail is a refusal to accept unmovable realities, such as market dynamics. Instead of adapting, they try to change fundamental truths. Successful founders, in contrast, are truth-seekers who figure out how to work with or around constraints.