Citigroup lifts AI market view

Citigroup raised its 2030 global artificial intelligence market forecast to more than $4.2 trillion, saying businesses are adopting AI tools faster than it expected. (reuters.com) In an April 27 note, Citi said roughly $1.9 trillion of that 2030 total would come from enterprise AI. Its earlier forecast was more than $3.5 trillion overall, with nearly $1.2 trillion tied to enterprise use. (reuters.com) The bank tied the revision to faster adoption of AI for coding and automation. It pointed to Anthropic as one company showing strong revenue growth from business customers. (reuters.com) Enterprise AI is the part of the market where companies buy software to write code, summarize documents, answer internal questions, or automate routine tasks. Citi’s new numbers suggest those purchases are moving from pilot projects into larger budgets. (reuters.com) That call lands as companies are debating whether to rely on one giant general model or a set of smaller systems trained for specific jobs. Gartner said domain-specific language models can improve relevance, accuracy, compliance, and cost for specialized business tasks. (gartner.com) A domain-specific model is closer to a specialist than a general practitioner: it is trained or tuned on a narrower body of data, such as legal contracts, medical records, or software code. That narrower focus can make it easier to deploy inside regulated industries with tighter controls on data and output. (gartner.com) Citi’s forecast does not settle that architecture debate, but it does put a larger dollar figure on the demand behind it. More companies are now spending on AI tools that fit directly into existing workflows instead of treating chatbots as stand-alone experiments. (reuters.com) (gartner.com) The new forecast shifts the argument from whether enterprises will buy AI to how that spending will be split across models, software, and infrastructure. Citi’s answer, for now, is that the business market is getting bigger faster. (reuters.com)