Key Takeaways:
OpenAI is developing industry-specific AI tools for finance and legal departments, directly challenging Anthropic's Claude as the two AI giants race to dominate enterprise vertical markets.
OpenAI is building AI tools tailored for finance and legal workflows, taking direct aim at Anthropic's Claude as enterprise spending on vertical AI accelerates past $30 billion in annualized run-rate revenue at its rival.
"Enterprise demand is a vertical wall right now," OpenAI CFO Sarah Friar said during a podcast this month, describing how companies across banking, accounting and legal services are racing to deploy AI into daily operations.
Anthropic's Claude has already embedded deeply into finance functions. PwC plans to train 30,000 US professionals on Claude, KPMG is integrating it into its Digital Gateway for tax clients, and JPMorgan and Goldman Sachs are expanding deployments for research and analysis. Anthropic CFO Krishna Rao said the company's run-rate revenue surged to north of $30 billion from about $9 billion at the start of the year, with net dollar retention exceeding 500% on an annualized basis.
The competitive stakes are enormous. Anthropic just raised $65 billion in Series H funding at a $965 billion valuation, led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital. OpenAI's push into vertical-specific tools signals that the next phase of the AI arms race will be fought not over general-purpose chatbots but over specialized applications that can justify their cost against measurable business outcomes.
Finance Becomes the AI Battleground
The finance sector has emerged as the most intense area of enterprise AI competition. Anthropic's Claude is already used by top accounting firms for tax preparation, audit workflows, forecasting and reconciliations. Internally, Anthropic has built more than 70 finance-specific Claude skills and uses the model to produce statutory financial statements across legal entities, cutting production time to 30 minutes from hours, according to Rao.
OpenAI's move into finance and legal tools mirrors Anthropic's strategy of embedding AI directly into operational workflows rather than selling it as a general-purpose assistant. The approach carries higher switching costs for customers and creates recurring revenue tied to usage volume rather than flat subscription fees. KPMG US CEO Tim Walsh captured the urgency driving adoption, telling the Financial Times that "regardless of how fast we're moving, I'm confident it's not fast enough."
The Cost Challenge No One Has Solved
The push into vertical AI comes as enterprises confront the economics of consumption-based pricing. Uber said it exhausted its 2026 AI budget by April after deploying Claude Code across thousands of engineers. Microsoft began winding down portions of its Claude Code licenses after token-based costs climbed sharply.
Anthropic's pricing structure charges separately for input tokens, output tokens, cache operations, regional routing and agent runtime sessions — a complexity that has prompted some finance teams to implement daily spending caps and monitoring dashboards. A recent discussion among FP&A professionals described Claude as "one of our largest variable costs in the business right now."
Uber Chief Operating Officer Andrew Macdonald questioned whether rising AI coding-tool usage translates into measurable customer-facing output. "That link is not there yet," he said during a podcast appearance.
OpenAI's vertical push could pressure Anthropic's dominance in enterprise finance, but the economics remain unproven. A Bain & Co. survey found more than half of CFOs expect AI spending to rise at least 15% over the next year, yet more than 80% of firms reported no measurable productivity impact from AI over the past three years, according to research cited by CFO.com. The winner of this race will be the company that can prove ROI — not just ship features.
This article is for informational purposes only and does not constitute investment advice.
