VFF - The signal in the noise
VFF - The signal in the noise
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Enterprise Giants Unite on AI Protocol to Challenge Startups

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Enterprise Giants Unite on AI Protocol to Challenge Startups

Google, Microsoft, Salesforce, Snowflake, ServiceNow and others announced support for an AI backend-software protocol on Wednesday. The move signals how established enterprise software providers plan to compete against AI-native startups like Anthropic and OpenAI by leveraging their existing large customer bases. The protocol announcement represents a strategic shift in how incumbent software vendors may defend their market position in the AI era.

TL;DR

  • Google, Microsoft, Salesforce, Snowflake, ServiceNow and others announced a joint agreement to support an AI backend-software protocol
  • The announcement demonstrates how enterprise software incumbents plan to compete against Anthropic and OpenAI
  • Established vendors are using their large customer bases as leverage in the AI business
  • The protocol aims to help traditional software providers avoid being decimated by AI-native competitors

Why It Matters

The AI market has been dominated by well-funded startups like Anthropic and OpenAI that can move quickly and attract top talent. This announcement shows how entrenched enterprise software companies plan to fight back by standardizing AI infrastructure around their existing customer relationships. The outcome will shape whether AI capabilities remain concentrated in a few startups or become distributed across the broader software ecosystem.

Business Impact

For enterprise IT executives, this protocol could mean AI tools that integrate more seamlessly with existing Salesforce, Snowflake, ServiceNow and other systems they already use. For the companies involved, the protocol represents a way to build AI offerings without competing directly on model quality against OpenAI and Anthropic, instead competing on integration and enterprise fit.

Key Implications

  • Enterprise software incumbents are forming coalitions to standardize AI infrastructure rather than competing individually
  • Customer lock-in through existing software relationships may become as important as model quality in enterprise AI adoption
  • The protocol could fragment the AI market into competing ecosystems rather than winner-take-all consolidation around a few models

What to Watch

Monitor adoption rates of the protocol among enterprise customers and whether other major software vendors join the coalition. Track whether this approach actually slows Anthropic and OpenAI's enterprise penetration or whether customers adopt both the protocol-based tools and direct integrations with frontier models. Watch for competing protocol standards that might emerge from other vendor groups.

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