AWS, Azure and Google Cloud reported staggering revenue growth numbers last week. Combined cloud backlog exceeds $1.2 Trillion. All three are capacity constrained. Here’s a quick breakdown.

$553B customer commits. 531% multicloud database growth. 243% AI infra growth. Oracle just showed what partner-led AI-cloud growth really looks like. For months, Wall Street questioned whether this was real demand or just AI narrative. Oracle’s last quarter performance gave a clear answer.

Cloud commits across AWS, Azure and GCP jumped to nearly $900B last quarter - up from $531B just one quarter prior.

~20% of what companies spend on public cloud software and IaaS/PaaS is “wasted.” Apply that across $1.2T in cloud commits and you get a massive addressable budget for selling your AI or SaaS products through cloud marketplaces.

Most enterprise buyers choose from the vendors they already had in mind on Day 1 - before the buying process even starts. Yet in many deals sellers introduce Marketplace later, after that shortlist is set.

In the CEO playbook for growth, partnerships just moved into the top 3. Oliver Wyman and the New York Stock Exchange asked 415 CEOs, running companies worth ~10% of global market cap, how they plan to raise shareholder value over the next 2 years. It’s the largest survey of its kind, now in its third year.

CRO of a fast-growing AI company told me recently: once his sellers saw that Marketplace + co-sell can strengthen every part of MEDDPICC, there was no going back.

Cloud account managers at AWS, Azure, and Google carry quotas that would make most CEOs sweat - often $100M+ a year.

If Marketplace only shows up at the end of the deal, it’s not a GTM motion. It’s firefighting.

90% of companies rely on partners for agentic AI. And 85% plan to expand partner engagement - new BCG research. Here is a breakdown of who customers partner with, and how they choose partners.

100 alliance and cloud GTM leaders joined us last Wednesday morning in New York to discuss one major shift: AWS Marketplace is becoming commercial infrastructure for AI and enterprise software GTM, not just a procurement path.

OpenAI just launched its partner program - $150M behind it, with a heavier co-sell emphasis. Anthropic moved first in March with $100M, and already 10K consultants have Claude certification. AI labs are now building partner ecosystems that look a lot like AWS, Azure, and Google Cloud.

Rubrik’s cloud ARR grew an impressive 43% last quarter to $1.39B. 68% of it flows through 3 distributors with channel amplifying Cloud and direct GTM. Two GTM engines running at once. Here is how they fit together.

OpenAI reportedly spent $5.73B on sales and marketing last year - 44% of revenue. Why OpenAI is spending Salesforce-like money to sell AI and still invest $150M in partners?

Palo Alto Networks posted a record quarter last week: $3B revenue (+31% YoY), RPO $18.4B (+36%). It’s striking how closely they now work with AI labs that many expected would disrupt them just months ago.

Last week Microsoft made the AI implementation race much bigger: $2.5B investment and 6,000 people embedded with customers. That is 2.5x AWS’s new Forward Deployed Engineering investment and 3.3x Google Cloud’s partner fund.

AWS last week put $1B behind a new AI GTM channel: co-build directly with customers. The company is creating a Forward Deployed Engineering organization with thousands of experts embedded inside customer teams.

Anthropic shipped its most capable model last week, and while it’s been temporarily suspended, it was priced 2X Opus 4.8 on a per-token basis. CFOs are now asking a different question: what will this Agentic AI shift cost us — and how do we control the spend?