So you’re saying we’re in a bubble?
The Bing of AI products (read: Microsoft) just got an expensive reminder that enthusiasm ≠ revenue. The short version: Microsoft’s AI sales targets quietly whiffed, The Information published the receipts, and traders went full-send into “Eat sh*t” mode as shares tanked nearly 3% yesterday.

(Source: Giphy)
However, the long version is even better… and way more predictable if you’ve been watching how enterprise software actually gets adopted in the wild. For instance, report says multiple Azure sales teams missed their growth targets for Foundry… Microsoft’s “build your own AI agents” platform that was supposed to be the other revenue engine alongside Copilot. One unit had a quota: Grow Foundry sales by 50%. The results? Less than 20% of reps hit it.

(Source: CNBC)
Another unit had a quota that literally read “double Foundry sales”. Microsoft had to walk that back to 50% after reps missed it by a country mile. Meaning, no this wasn’t a soft quarter… it’s a structural oh right, enterprises don’t buy hype, they buy things that actually work moment. And this is where Foundry runs into a wall every AI company eventually discovers: Building an AI agent is easy. Integrating it into a Fortune 500’s crusty, 19-year-old data warehouse that still has a Windows XP terminal running in the corner is most definitely not.
Case in point: Carlyle tried something similar last year. The agent couldn’t reliably connect to basic internal systems. However, in Microsoft’s situation, instead of logically understanding this… they immediately pushed back (not on the numbers, but the framing). Their argument was “they’re mixing up quotas with growth.” Translation: “Yes, reps missed goals… but technically we didn’t lower quotas… if you squint at it… from a certain angle… and ignore the math.” LOL

(Source: Giphy)
But again, Microsoft, along with literally every AI vendor hoarding compute power, has been selling this idea that AI agents will seamlessly slide into existing workflows, automate the boring stuff, reduce headcount, and unlock productivity like a cheat code.
But here’s what CIOs are actually dealing with:
- half the company’s data lives in systems the original vendor no longer exists for
- the other half lives in SharePoint folders named “NEW_NEW_FINAL_v6”
- no one has documentation
- and AI agents still hallucinate like they’re microdosing peyote
So yes, the engineering horsepower is there. The compute is there, and yes enterprises technically could build autonomous agents tomorrow. But the gulf between cool demo and “this is now running payroll” is enormous, and Foundry is just learning that lesson in real time.

(Source: Giphy)
Meanwhile, Copilot is still the actual golden goose. Foundry missing goals would matter more if Copilot wasn’t doing exactly what Microsoft needs: driving cloud consumption and locking enterprises deeper into the ecosystem. And unlike Foundry, Copilot has two things going for it. #1. It integrates with products people actually already use. #2. It doesn’t require tearing apart the foundation of your company’s data architecture just to get a demo working.
So even if Foundry has a long runway and a slow adoption curve, Microsoft’s AI thesis is nowhere near broken. This is just the first meaningful signal that the enterprise AI land grab is going to be slow and painful… especially for shareholders. Looking ahead, we’re all sure the Foundry, Azure combustion, and the enterprise wave will all get to where they need to be. But this report clearly reminded every degenerate AI mouth breather with a “YOLO” shirt that AI isn’t magic… its middleware, and middleware moves at the speed of bureaucracy. Until next time, friends…

At the time of publishing, Stocks.News holds positions in Microsoft as mentioned in the article.
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