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.

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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.

When launching into a competitive space, first build the table-stakes features to achieve parity. Then, develop at least one "binary differentiator"—a unique, compelling capability that solves a major pain point your competitors don't, making the choice clear for customers.

Snowflake's CEO views giants like OpenAI as "empires that have not met their oceans"—believing they can expand anywhere. To compete, companies must identify and avoid areas where these platforms have a natural 'right to win' (like coding agents), and instead build differentiated value elsewhere.

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.

IBM CEO Arvind Krishna's strategy rests on the conviction that most enterprises will remain hybrid, avoiding lock-in to one public cloud. This creates a durable market for IBM's management software. The second pillar is focusing on deploying trusted AI in regulated industries, ceding the consumer space to others.

Hyperscalers are new ecosystem marketplaces, not just advanced distributors. They have fundamentally changed the B2B customer journey, invalidating traditional sales and marketing playbooks. Established tech companies must adapt to new co-selling motions or risk becoming obsolete.

Smaller software companies can't compete with giants like Salesforce or Adobe on an all-in-one basis. They must strategically embrace interoperability and multi-cloud models as a key differentiator. This appeals to customers seeking flexibility and avoiding lock-in to a single vendor's ecosystem.

Instead of scaling a costly direct sales team, SpeedSize focused early on partnerships with major cloud providers. Their strategy targets platforms like AWS that lack a built-in image and video compression solution, positioning SpeedSize as the essential add-on, despite a multi-year setup time.

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.