Here’s what’s confirmed: HSBC issued an analyst note raising its Microsoft stock price target to $593, directly citing the Anthropic partnership. The existence of that note is corroborated by the URL title of an Investing.com article on the action. That’s the solid ground. Everything below that line is HSBC’s model, and it’s worth understanding what the model assumes before treating any number as a forecast.
According to an HSBC research note reported by Investing.com, the Microsoft-Anthropic partnership could generate up to $43 billion in annual Azure revenue by 2030, per HSBC’s projections. HSBC reportedly projects Anthropic’s revenue could scale to $241 billion by 2030, driven by enterprise adoption. The projection reportedly assumes Anthropic allocates approximately 60% of revenue to cloud compute infrastructure, a modeling assumption that drives a large portion of the Azure upside figure.
Those numbers are large. Context matters. According to HSBC’s analysis, Anthropic currently represents approximately 5% of Microsoft’s remaining performance obligations, compared to approximately 46% for OpenAI, a gap the note suggests signals significant untapped growth potential. Whether that gap closes in the way HSBC models depends on enterprise adoption rates, competitive dynamics with OpenAI and Google DeepMind, and whether Anthropic’s $30 billion reportedly committed to Azure spending actually materializes at that scale. None of those inputs are stable.
The real story is the RPO comparison, not the revenue ceiling. A single frontier lab representing under 5% of Microsoft’s contracted AI revenue, versus another at 46%, is a remarkable concentration signal, and a legitimate investment thesis for upside if Anthropic’s enterprise share grows. But from 5% to a position that drives $43 billion in annual revenue is a very large move, and HSBC’s note is one analyst’s model of how that happens, not a market consensus.
Don’t bet on the $241 billion headline. The figure requires Anthropic to become one of the largest software companies in the world by revenue within four years, a trajectory that would require sustained enterprise adoption at a scale no AI lab has demonstrated. That doesn’t mean it’s impossible. It means the confidence interval around that number is enormous.
What to Watch
What matters more for enterprise teams is the direction, not the magnitude. Microsoft is clearly positioning Azure as the primary infrastructure layer for Anthropic’s growth, and Anthropic is clearly gaining enterprise share. The rate of that growth, and the degree to which it translates to Azure revenue specifically, given Anthropic also has deep commitments to AWS, is what remains genuinely uncertain.
Watch for Microsoft’s Q2 and Q3 Azure revenue disclosures for the first hard data on whether Anthropic-driven workloads are registering as a measurable line in cloud revenue. If HSBC’s model has any traction, that signal will appear in RPO disclosures before it appears in revenue. That’s the specific data point worth tracking, not the 2030 projection.