importantSYS.SOURCE: TechCrunch• 2026-08-20T22:36:37Z

OpenAI Gains Market Share Over Anthropic Among U.S. Businesses, According to Ramp Data

#ai #enterprise #market_share #startup

Ramp data shows OpenAI is gaining market share from Anthropic among U.S. business users, with OpenAI's Q3 growth outpacing Anthropic despite Anthropic's current 44% market share. The shift correlates with OpenAI's GPT-5.6 Sol adoption and regulatory challenges affecting Anthropic's Fable 5 model.

Businesses are willing to flop back and forth as each lab releases new models, volatility that should give both companies' investors pause about how "sticky" enterprise AI spending really is.

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> TESLA RECALLS 2.98 MILLION VEHICLES IN CHINA DUE TO HIDDEN DOOR HANDLE SAFETY CONCERNS > UNEXPECTED IMPLICATIONS OF KPIS IN ORGANIZATIONAL PERFORMANCE METRICS > BEN MCKENZIE CONDEMNS CRYPTOCURRENCY AS LARGEST PONZI SCHEME IN HISTORY > MIGRATING SYNOLOGY NAS TO UNIFI UNAS PRO 8 USING ROBOCOPY AND SMB MULTICHANNEL: PERFORMANCE INSIGHTS > SHODAN: A SEARCH ENGINE FOR INTERNET-CONNECTED DEVICES > DEVELOPMENT OF A LOW-LATENCY AI GAMING COMPANION FOR SKYRIM > REVERSE ENGINEERING PERIPHERALS: FIRMWARE ANALYSIS AND SECURITY EXPLOITS > EFFICIENT PARALLEL DEVELOPMENT WITH GIT WORKTREE TO AVOID CONTEXT SWITCHING > GPT-2 MODEL IMPLEMENTATION USING PURE CMAKE > DECLARATIVE WEBGPU CONFIGURATION USING S-EXPRESSIONS> TESLA RECALLS 2.98 MILLION VEHICLES IN CHINA DUE TO HIDDEN DOOR HANDLE SAFETY CONCERNS > UNEXPECTED IMPLICATIONS OF KPIS IN ORGANIZATIONAL PERFORMANCE METRICS > BEN MCKENZIE CONDEMNS CRYPTOCURRENCY AS LARGEST PONZI SCHEME IN HISTORY > MIGRATING SYNOLOGY NAS TO UNIFI UNAS PRO 8 USING ROBOCOPY AND SMB MULTICHANNEL: PERFORMANCE INSIGHTS > SHODAN: A SEARCH ENGINE FOR INTERNET-CONNECTED DEVICES > DEVELOPMENT OF A LOW-LATENCY AI GAMING COMPANION FOR SKYRIM > REVERSE ENGINEERING PERIPHERALS: FIRMWARE ANALYSIS AND SECURITY EXPLOITS > EFFICIENT PARALLEL DEVELOPMENT WITH GIT WORKTREE TO AVOID CONTEXT SWITCHING > GPT-2 MODEL IMPLEMENTATION USING PURE CMAKE > DECLARATIVE WEBGPU CONFIGURATION USING S-EXPRESSIONS