User stickiness for AI models is increasingly driven by the 'harness'—the custom prompts, workflows, and integrations built around a specific model. This ecosystem creates high switching costs, even when a competing model offers incrementally better performance.

The cost of re-validating, QA-ing, and re-training internal apps built on a specific LLM far outweighs potential token savings. Once an application is "dialed in" on a model like Claude Opus, the business has little incentive to switch, creating a durable competitive advantage.

Enterprise platform ServiceNow is offering customers access to models from both major AI labs. This "model choice" strategy directly addresses a primary enterprise fear of being locked into a single AI provider, allowing them to use the best model for each specific job.

According to RAMP spending data, Anthropic's share of new enterprise AI tool purchases skyrocketed to over 73% in just ten weeks. This dramatic market shift, with Anthropic becoming the default first choice for businesses, is the likely catalyst for OpenAI's urgent and defensive strategy change.

Startups are becoming wary of building on OpenAI's platform due to the significant risk of OpenAI launching competing applications (e.g., Sora for video), rendering their products obsolete. This "platform risk" is pushing developers toward neutral providers like Anthropic or open-source models to protect their businesses.

An enterprise CIO confirms that once a company invests time training a generative AI solution, the cost to switch vendors becomes prohibitive. This means early-stage AI startups can build a powerful moat simply by being the first vendor to get implemented and trained.

Legora pivoted its core model provider from OpenAI to Anthropic, driven by a strategic belief that Anthropic is aligning more with enterprise-grade needs while OpenAI is increasingly targeting the B2C market. This signals a potential bifurcation in the foundation model landscape based on end-market focus.

CIOs report that the unbudgeted 'soft costs' of implementing AI—training, onboarding, and business process change—are the highest they've ever seen. This extreme cost and effort will make companies highly reluctant to switch AI vendors, creating strong defensibility and lock-in for the platforms chosen during this initial wave.

According to Ramp's AI index, Anthropic has become the default choice for businesses adopting AI for the first time, capturing 70% of this segment. This marks a complete reversal from 2023 when OpenAI led, suggesting Anthropic's enterprise-focused strategy is successfully capturing the lucrative business market.