Inside the rise of enterprise AI model-switching

Perplexity’s 2025 enterprise usage data, drawn from customers including many Fortune 500 companies, indicates that organizations are increasingly adopting multi-model AI workflows rather than relying on a single provider. While two models represented more than 90% of usage at the start of the year, usage had become more distributed by December, with four models each exceeding 10% share and the leading model accounting for about 23% of queries. Power users and large enterprise accounts were especially likely to experiment with multiple models, with many switching models within a workday to match particular tasks. Claude was the most common choice for programming and software development, while Gemini, GPT, and Claude variants led different specialized areas such as visual arts, financial analysis, debugging, legal work, and medical research. The report also notes that new model releases often create short-lived spikes in adoption before users settle on tools suited to their workflows, suggesting that flexibility and access to multiple models may be increasingly important as capabilities and preferences change quickly.

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