Nutanix successfully challenged incumbents like EMC and Cisco by bringing the architecture of consumer giants (e.g., Google's use of commodity hardware) to the enterprise. They combined this with an Apple-like focus on end-to-end quality control by delivering their software in a hardware appliance.

Initially, Microsoft's go-to-market strategy was not to displace competitors but to displace customers' own internal development teams. They framed their software's price as a fraction of a company's fixed in-house engineering budget, a powerful value proposition that defined a new category of B2B sales.

Data businesses have high fixed costs to create an asset, not variable per-customer costs. This model shows poor initial gross margins but scales exceptionally well as revenue grows against fixed COGS. Investors often misunderstand this, penalizing data companies for a fundamentally powerful economic model.

Direct AI disruption is a minimal concern for telecom companies. The more significant threat comes from hyperscalers like AWS and Azure, which already dominate Europe's B2B cloud market with an 85% share. The real risk is these giants leveraging their cloud infrastructure to enter the B2C telecom space via virtualized networks.

Incumbents are disincentivized from creating cheaper, superior products that would cannibalize existing high-margin revenue streams. Organizational silos also hinder the creation of blended solutions that cross traditional product lines, creating opportunities for startups to innovate in the gaps.

In the current market, AI companies see explosive growth through two primary vectors: attaching to the massive AI compute spend or directly replacing human labor. Companies merely using AI to improve an existing product without hitting one of these drivers risk being discounted as they lack a clear, exponential growth narrative.

During major platform shifts like AI, it's tempting to project that companies will capture all the value they create. However, competitive forces ensure the vast majority of productivity gains (the "surplus") flows to end-users, not the technology creators.

Satya Nadella reveals that Microsoft prioritizes building a flexible, "fungible" cloud infrastructure over catering to every demand of its largest AI customer, OpenAI. This involves strategically denying requests for massive, dedicated data centers to ensure capacity remains balanced for other customers and Microsoft's own high-margin products.

AI is making core software functionality nearly free, creating an existential crisis for traditional SaaS companies. The old model of 90%+ gross margins is disappearing. The future will be dominated by a few large AI players with lower margins, alongside a strategic shift towards monetizing high-value services.