Citi raises AI market to $4 trillion
- Citigroup raised its global artificial intelligence market forecast on April 28, saying faster enterprise use of coding and automation tools will push the market above $4.2 trillion by 2030. - Citi said about $1.9 trillion of that 2030 total will come from enterprise AI, after stronger-than-expected demand and revenue growth at Anthropic. - The call shifts attention from consumer chatbots toward workplace software budgets and infrastructure spending. (reuters.com)
Citigroup said on April 28 that the global artificial intelligence market will exceed $4.2 trillion by 2030 as companies buy more coding and automation tools. (reuters.com) In an April 27 research note, the bank said roughly $1.9 trillion of that 2030 total will come from enterprise AI, the software and services businesses use inside daily operations. (reuters.com) Citi tied the higher forecast to faster adoption of AI for writing code and automating office workflows, not to a new burst of consumer app spending. The bank pointed to Anthropic as an example of strong enterprise revenue growth. (reuters.com) That distinction changes where the money goes. If companies keep buying AI to help employees build software, answer internal questions and handle repetitive tasks, spending concentrates in developer tools, cloud infrastructure and compliance software. (citigroup.com) (reuters.com) Citi had already argued in a 2025 research report that AI revenue could rise from $43 billion in 2025 to $780 billion in 2030, with infrastructure spending above $400 billion in 2025 alone. The new note pushes the broader market view higher as enterprise demand arrives faster than Citi expected. (citigroup.com) (reuters.com) The forecast also lands as investors keep treating AI as a capital-spending story as much as a software story. Citi said in a separate estimate that hyperscalers including Amazon, Microsoft, Alphabet and Meta could spend more than $630 billion on AI-related capital expenditure in 2026. (eastandpartners.com) What Citi is describing is less a bet on one chatbot than a bet on companies rebuilding how work gets done. By its numbers, the biggest pool of AI money is moving inside the enterprise. (reuters.com)
