Wall Street’s Data Gatekeepers Get Blindsided by Anthropic’s Finance Takeover

AI just aimed straight at the heart of the financial data business. Anthropic released its Claude Opus 4.6 model on Thursday, positioning it as an upgrade for financial analysis, research, spreadsheets, and presentations. Markets didn’t wait to debate the implications, as S&P Global and FactSet both sank, wiping out billions in combined market value as investors realized AI might render traditional financial data platforms obsolete.
Information domination: Anthropic is quietly pushing into territory long-dominated by financial software vendors. Its new Claude Opus 4.6 model topped the Finance Agent benchmark, outperforming tools from OpenAI and Google on common analyst tasks. The company also previewed features that generate PowerPoint decks and improve spreadsheet building and debugging, moves that go beyond productivity boosts and into core workflow replacement. That shift matters for data and software firms as AI capabilities accelerate, especially as Anthropic and OpenAI move closer to public listings, where enterprise adoption will be closely scrutinized.
OpenAI isn’t sitting idle. The ChatGPT maker is rapidly expanding its team of forward-deployed engineers, growing from about 60 to hundreds, as it works directly with corporate clients to tailor AI models using their own data and deepen its push into enterprise automation. Management aims to lift business revenue from about 40% to 50% by year-end, targeting roughly $15B in enterprise sales by 2026. Rival Anthropic is making a similar bet, projecting $18B in revenue by year-end, largely from selling model access to developers and businesses.
The winner takes it all: What matters most now is who wins enterprise customers first. These IPOs are about showing investors which AI company can lock in the most profitable clients before the market decides winners. Financial services firms caught in the crossfire now face an uncomfortable reality — partner with the disruptors or watch your legacy software business slowly evaporate as clients discover they can get better analysis from a chatbot than from your decades-old platform.