OpenAI Drops Microsoft Exclusivity; Citi Raises AI Market to $4.2 Trillion

OpenAI cuts Microsoft's cloud exclusivity as Citigroup raises the global AI market forecast to $4.2 trillion by 2030.

💰 OpenAI and Microsoft End Exclusive License, Unlocking AWS and Google Cloud Sales

Decoded: Microsoft and OpenAI jointly announced a renegotiated partnership on April 27, terminating the exclusive license that had prevented OpenAI from selling its models on competing cloud platforms. Under the revised terms, OpenAI can now directly supply its products to enterprise customers on Amazon Web Services and Google Cloud — clearing the path for its previously announced $50 billion AWS agreement. Microsoft retains its position as OpenAI's primary cloud partner with an IP license, but surrenders its revenue share on resold OpenAI products. In exchange, Microsoft receives greater revenue certainty from OpenAI and gains freedom to invest those freed resources in its own Copilot AI development. Barclays analysts said the deal frees Microsoft capital for Copilot and boosts Azure capacity planning. CNBC reported that an internal Amazon memo described OpenAI's cloud demand as "staggering." Microsoft shares closed largely unchanged after an initial 1.3% dip; Alphabet closed up 1.81%. The renegotiation also alleviates antitrust scrutiny in the U.S., UK, and Europe. Microsoft has invested $13 billion in OpenAI since 2019. (Reuters, Bloomberg, April 27, 2026)

Why it matters: Microsoft's exclusive license was a structural distribution moat — any enterprise wanting OpenAI's models through a hyperscaler had to be an Azure customer. That constraint disappears. AWS and Google Cloud can now compete directly for OpenAI model deployments, compressing Azure's AI-driven growth advantage that powered Microsoft's (MSFT) multiple expansion through 2024-2025. The deal arrives the day before Microsoft reports Q1 2026 earnings: investors will scrutinize whether Azure AI revenue commentary reflects this transition or whether lost OpenAI exclusivity creates a forward guidance risk. For OpenAI's IPO — the company was last reported targeting a $300 billion valuation — broad cloud distribution across all three hyperscalers dramatically expands the addressable enterprise revenue base investors will be asked to price.

📊 Citigroup Raises Global AI Market Forecast to $4.2 Trillion by 2030 on Enterprise Demand

Decoded: Citigroup revised its global artificial intelligence market forecast upward in an April 27 research note, lifting its target to more than $4.2 trillion by 2030 from a prior estimate of more than $3.5 trillion. The enterprise AI segment alone was raised to $1.9 trillion from the previous $1.2 trillion estimate. Citi cited faster-than-expected enterprise adoption of AI tools for coding and task automation as the primary driver. In the note, Citi described Anthropic as "the leader in enterprise AI," citing strong traction in software development workflows and agentic automation. Key data points: Anthropic's annualized revenue run rate has surpassed $30 billion by April 2026 — one of the fastest growth trajectories in tech history. Roughly 80% of Anthropic's revenue comes from enterprise customers. Citi noted that Claude Code and Claude models are driving current revenue, while the Mythos model represents future upside rather than near-term monetization. (Reuters, April 28, 2026)

Why it matters: Citigroup's revised $4.2 trillion AI market forecast, upgraded by a $700 billion delta on the total and a $700 billion delta on the enterprise segment, is a direct reflection of enterprise AI adoption accelerating beyond Wall Street's prior baseline models. The upgrade arrives in the same week as Mag7 earnings — Alphabet, Meta, Amazon, and Microsoft report Wednesday; Apple on Thursday — where AI capex justification is the central question. For investors, Citi naming Anthropic as the enterprise AI leader while flagging $30 billion in annualized revenue run rate sets a private-market benchmark against which OpenAI's own IPO financials will be judged. Anthropic's 80% enterprise revenue concentration also signals that AI monetization is shifting from consumer subscriptions to commercial SaaS contracts — a higher-margin, lower-churn category that will shape how analysts price frontier AI companies at public market multiples.

Stay decoded. See you tomorrow.

— The Get AI Decoded Team