MongoDB's CEO argues that AI's disruptive threat to enterprise software is segmented. Companies serving SMBs are most at risk because their products are less sticky and more easily replaced by AI-generated tools. In contrast, vendors serving large enterprises are more protected because "products are always replaceable, platforms are not."

To build a multi-billion dollar database company, you need two things: a new, widespread workload (like AI needing data) and a fundamentally new storage architecture that incumbents can't easily adopt. This framework helps identify truly disruptive infrastructure opportunities.

High-profile outages at market leader AWS highlight the risk of single-vendor dependency. Competitors' sales teams leverage these events to aggressively push for diversification, arguing for better reliability and accelerating the enterprise shift to multi-cloud infrastructure.

While network effects drive consolidation in tech, a powerful counter-force prevents monopolies. Large enterprise customers intentionally support multiple major players (e.g., AWS, GCP, Azure) to avoid vendor lock-in and maintain negotiating power, naturally creating a market with two to three leaders.

An outage at a single dominant cloud provider like AWS can cripple a third of the internet, including competitors' services. This highlights how infrastructure centralization creates systemic vulnerabilities that ripple across the entire digital economy, demanding a new approach to redundancy and regulation.

Don't try to compete with hyperscalers like AWS or GCP on their home turf. Instead, differentiate by focusing on areas they inherently neglect, such as multi-cloud management and hybrid on-premise integration. The winning strategy is to fit into and augment a customer's existing cloud strategy, not attempt to replace it.

Beyond upfront pricing, sophisticated enterprise customers now demand cost certainty for consumption-based AI. They require vendors to provide transparent cost structures and protections for when usage inevitably scales, asking, 'What does the world look like when the flywheel actually spins?'

The high-speed link between AWS and GCP shows companies now prioritize access to the best AI models, regardless of provider. This forces even fierce rivals to partner, as customers build hybrid infrastructures to leverage unique AI capabilities from platforms like Google and OpenAI on Azure.

Anthropic is making its models available on AWS, Azure, and Google Cloud. This multi-cloud approach is a deliberate business strategy to position itself as a neutral infrastructure provider. Unlike competitors who might build competing apps, this signals to customers that Anthropic aims to be a partner, not a competitor.