For software companies, the risk of becoming obsolete by moving too slowly on AI is greater than the risk of IP exposure. They are aggressively integrating AI to prioritize innovation and speed. In contrast, traditional enterprises are taking a much more cautious, risk-averse approach.

Large enterprises navigate a critical paradox with new technology like AI. Moving too slowly cedes the market and leads to irrelevance. However, moving too quickly without clear direction or a focus on feasibility results in wasting millions of dollars on failed initiatives.

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.

While doubling down on a proven strategy is usually wise, this rule can be broken when a new market offers exponentially greater (e.g., 100x) value per customer for the same operational effort. The potential upside is too significant to ignore, justifying the risk of a strategic test.

When an unexpected opportunity in an adjacent vertical arises, dedicate a small amount of effort (e.g., 5%) to explore it, even if it's not on the immediate roadmap. This low-cost probe provides invaluable market feedback on your product's readiness for future expansion without derailing current priorities.

While adjacent, incremental innovation feels safer and is easier to get approved, Nubar Afeyan warns that everyone else is doing the same thing. This approach inevitably leads to commoditization and erodes sustainable advantage. Leaping to new possibilities is the only way to truly own a new space.

The traditional VC advice of conquering one market before moving to the next is obsolete in the fast-paced AI era. To outrun competitors, startups must treat GTM like venture capital: test multiple markets and strategies in parallel to quickly identify the few bets that will drive exponential growth.

To avoid being too futuristic or too incremental, Cisco's innovation arm manages its ventures across two axes: technology risk and time horizon (from 6 months to 5 years). This portfolio approach ensures a mix of near-term value and long-term strategic bets.

Bootstrapped SaaS company Vasion allocates investment like a diversified portfolio: 70% to drive and evolve the core business, 20% to build adjacent platform capabilities for new markets, and 10% for exploratory 'moonshot' technologies. This model ensures both short-term stability and long-term innovation.