Intense competition forces companies to innovate their products and marketing more aggressively. This rivalry validates the market's potential, accelerates its growth, and ultimately benefits the entire ecosystem and its customers, rather than being a purely zero-sum game.

Unlike the slow denial of SaaS by client-server companies, today's SaaS leaders (e.g., HubSpot, Notion) are rapidly integrating AI. They have an advantage due to vast proprietary data and existing distribution channels, making it harder for new AI-native startups to displace them. The old playbook of a slow incumbent may no longer apply.

While many investors hunt for pure monopolies, most tech markets naturally support a handful of large players in an oligopoly structure. Markets like payments (Stripe, Adyen, PayPal) demonstrate that multiple large, successful companies can coexist, a crucial distinction for market analysis and investment strategy.

Unlike mobile or internet shifts that created openings for startups, AI is an "accelerating technology." Large companies can integrate it quickly, closing the competitive window for new entrants much faster than in previous platform shifts. The moat is no longer product execution but customer insight.

Obsessing over creating a new market category is often a mistake. Data shows the vast majority of successful public tech companies compete within established categories. It's more effective to get "invited to the party" by using a known category label and then winning with a sharp, differentiated value proposition.

AI favors incumbents more than startups. While everyone builds on similar models, true network effects come from proprietary data and consumer distribution, both of which incumbents own. Startups are left with narrow problems, but high-quality incumbents are moving fast enough to capture these opportunities.

A major market opportunity exists when one side of an industry (e.g., insurance companies) adopts new technology like AI faster than its counterpart (e.g., hospitals). Startups can succeed by building tools that close this technology gap, effectively 'arming the rebels' and leveling the playing field.

Dominant aggregator platforms are often misjudged as being vulnerable to technological disruption (e.g., Uber vs. robo-taxis). Their real strength lies in their network, allowing them to integrate and offer new technologies from various providers, thus becoming beneficiaries rather than victims of innovation.

Conventional venture capital wisdom of 'winner-take-all' may not apply to AI applications. The market is expanding so rapidly that it can sustain multiple, fast-growing, highly valuable companies, each capturing a significant niche. For VCs, this means huge returns don't necessarily require backing a monopoly.