Microsoft's Azure cloud platform problems stem from AI, according to a former engineer: "Those disruptions built up."

The American file hosting and cloud computing service owned by Microsoft, Azure logo seen displayed on a smartphone with an Artificial Intelligence (AI) chip and symbol in the background.
An ex-Microsoft engineer recently detailed how Azure’s rushed launch, talent exodus, and AI hype left Microsoft’s cloud fragile and struggling to compete. (Image credit: Getty Images | SOPA Images)

"Redmond is in a pickle," said Ben Reitzes, an analyst at Melius Research, following Microsoft's closing of its worst quarter since the 2008 financial crisis, which translates to approximately a quarter of its market value. However, the tech giant isn't giving up on its AI ambitions, as it plans to invest $146 billion in infrastructure in 2026. That's almost twice as much as it spent last year amid investor concerns about the profitability of the ever-evolving landscape.

Azure is arguably Microsoft's largest revenue driver, contributing billions annually by providing infrastructure, software services, and more to businesses worldwide through subscription-based cloud services, enterprise contracts, and consumption-based pricing models.

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According to Rietschin, Microsoft's decision to rush Azure's launch, a mass talent exodus post-launch, a lack of software quality and testing discipline, a lack of architectural vision, and poor execution have all contributed to the challenges riddling the cloud service. What's more, the tech giant overlooked opportunities for stability and failed to support its staff, as its main focus was getting the service to market.

"This foundational fragility, rooted in rushed decisions and wishful thinking about how fast the platform could grow and stabilize, led to small but ongoing disruptions," indicated Rietschin. "Over time, those disruptions built up."

As a result, we've seen the government raise concerns, citing its dissatisfaction with Microsoft's Azure services. I'd also argue that this was one of the pain points that pushed Microsoft's multi-billion-dollar partnership with OpenAI into a new definitive agreement, consequently costing it its right of first refusal to be OpenAI’s compute provider.

Azure never operated as smoothly or independently as promised. What Microsoft presented to the world, and to its most demanding customers, was a sophisticated system perpetually on life support.

Axel Rietschin, Ex-Microsoft Engineer

Rietschin says OpenAI’s $11.9B deal with CoreWeave was a snub and a vote of no confidence in Microsoft's Azure services. In 2024, federal cybersecurity evaluators reportedly dismissed Microsoft 365 Government Community Cloud High (GCC High), branding it as garbage.

During Microsoft's financial results for FY26 Q2, the company revealed that it is facing immense capacity constraints, which have primarily contributed to a backlog in commercial bookings. It further indicated that OpenAI accounts for approximately 45% of the highlighted commitments.


Can AI really replace software engineers?

"One can reasonably infer that Microsoft struggled to meet OpenAI's demanding requirements on time and at scale," Rietschin added. Interestingly, the engineer suggested that these woes contributed to the layoff of 15,000 people at Microsoft last year.

However, he argues that laying people off isn't the solution. While speaking to The Register, the engineer indicated that "Microsoft executives should focus on bringing back senior technical leaders to improve dev training at all levels. Investing in people through mentoring and coaching by long-term Microsoft software engineers would have the broadest long-term impact. I think their most significant challenge was knowledge dilution caused by high attrition."

While Microsoft co-founder Bill Gates indicated that AI will replace humans in most tasks, he argued that software engineers would survive the revolution because the field is too complex to fully automate with the technology.

But as is the trend in most organizations right now, more professionals are now being replaced using AI, and it's beyond mere repetitive and redundant tasks. But the risks of having AI write code without proper human intervention or oversight are dire.


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Kevin Okemwa
Contributor

Kevin Okemwa is a seasoned tech journalist based in Nairobi, Kenya with lots of experience covering the latest trends and developments in the industry at Windows Central. With a passion for innovation and a keen eye for detail, he has written for leading publications such as OnMSFT, MakeUseOf, and Windows Report, providing insightful analysis and breaking news on everything revolving around the Microsoft ecosystem. While AFK and not busy following the ever-emerging trends in tech, you can find him exploring the world or listening to music.

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