{"data":{"id":"d43ec98c-11d5-4f4f-b6b2-0682ae3e9179","title":"Perspective: AI demand is inflated, and only Anthropic is being realistic","summary":"AI companies may be overestimating demand by measuring success through token consumption (the basic units of AI usage, like words and characters), rather than actual business value or return on investment. Anthropic is adjusting its pricing model away from flat monthly fees toward per-token billing and has discontinued third-party tools that were consuming excessive tokens without generating meaningful results, positioning itself better if AI demand projections prove inflated.","solution":"Anthropic's mitigation strategies mentioned in the source include: (1) moving from flat-rate enterprise pricing to per-token billing so revenue reflects actual usage; (2) cutting off third-party agentic tools (like OpenClaw) that were consuming large volumes of tokens unsustainably; and (3) planning infrastructure investment carefully by accounting for a 'cone of uncertainty' (acknowledging that data centers take 1-2 years to build, so companies must estimate future demand carefully rather than over-committing to infrastructure based on inflated projections).","labels":["industry"],"sourceUrl":"https://www.cnbc.com/2026/04/17/ai-tokens-anthropic-openai-nvidia.html","publishedAt":"2026-04-17T19:10:15.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":["Anthropic","OpenAI"],"affectedVendorsRaw":["Anthropic","Claude","OpenAI","Meta","Shopify","Nvidia","Databricks"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-04-17T19:10:15.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"inference","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}