The battle for enterprise AI is being fought on two fronts. Data platforms like Snowflake build agents from a governed data foundation (Data+AI), while model companies like OpenAI push general agents down into enterprise systems (AI+Data). The winner controls the core workflow.

Anthropic is pursuing a vertical-specific GTM strategy, rolling out tailored connectors and agents for industries like legal and finance. This contrasts with OpenAI's horizontal strategy of routing all knowledge workers to a single, general-purpose interface, setting up a key strategic battle.

OpenAI's new platform, Frontier, is designed for building 'AI co-workers' that can access a company's various data sources and systems. This represents a strategic move beyond single-user chatbots toward an enterprise-grade orchestration layer for managing teams of interconnected AI agents.

Most successful SaaS companies weren't built on new core tech, but by packaging existing tech (like databases or CRMs) into solutions for specific industries. AI is no different. The opportunity lies in unbundling a general tool like ChatGPT and rebundling its capabilities into vertical-specific products.

OpenAI's new desktop app signals a trend where all major AI products are becoming similar 'super apps' that combine chat with agentic workflows. This forces differentiation to shift from core features to vertical specialization and the underlying 'context layer'.

OpenAI's launch of ChatGPT Health, which integrates medical records, signals a clear strategy to move beyond general-purpose APIs. Foundation model companies are now building specialized, vertical-specific products, posing a direct threat to "wrapper" startups that rely on the underlying models' existing capabilities.

As foundational AI models become commoditized, differentiation will come from building specialized platforms for specific business functions like sales or marketing. This involves deep integration with industry-specific data, workflows, and context, making the 'intelligence layer' the key competitive advantage.

With model improvements showing diminishing returns and competitors like Google achieving parity, OpenAI is shifting focus to enterprise applications. The strategic battleground is moving from foundational model superiority to practical, valuable productization for businesses.

OpenAI's partnership with ServiceNow isn't about building a competing product; it's about embedding its "agentic" AI directly into established platforms. This strategy focuses on becoming the core intelligence layer for existing enterprise systems, allowing AI to act as an automated teammate within familiar workflows.