Companies are building multi-model stacks and production-grade AI workflows centered on governance, data foundations, and change management to sustain automation and deliver durable value beyond demos.

Experts warn the market remains early-stage; maintain model-agnostic testing in real production workflows and keep vendor flexibility to avoid premature lock-in amid compute, reliability, and cost concerns.

Anthropic’s Claude is gaining momentum, with adoption quadrupling over the year while OpenAI’s growth remains modest, signaling a rapid shift in enterprise preferences.

Adoption versus usage matters: many firms run multiple models, and data reflects which model teams reach for first on new projects.

Claude’s strengths in reliability, long-context handling, and instruction-faithful outputs align with production needs for enterprise-grade agents.

The overarching principle is AI First, Human Always: the most successful adopters embed models in disciplined systems that sustain performance, not just demos.

Ramp AI Index bases its findings on real corporate card and invoice data from over 50,000 U.S. companies, grounding the metrics in actual spending.

Adoption is driven by workflow redesign, data foundations, and governance; the model is only one input in a broader production system that confers durable competitive advantage.

The shift reflects organizations redesigning workflows to maximize trust and minimize manual intervention, rather than relying solely on model capabilities.

Claude is increasingly the default starting point for new builds, especially in coding, with OpenAI used for other tasks but Anthropic integration rising.

Anthropic’s token-based pricing draws scrutiny as usage grows, with costs potentially rising in budget-constrained environments.

Ramp AI Index shows Claude leading OpenAI in May 2026 adoption among U.S. businesses, with Claude at 34.4% and ChatGPT at 32.3%, reflecting a broader trend toward multi-model stacks.