NextFin News - Microsoft’s annual Build developer conference, which opened this week at San Francisco’s Fort Mason, was intended to be a victory lap for the company’s pivot toward "agentic AI." Instead, the event has been overshadowed by emerging reports of sluggish sales for its flagship AI products and a series of technical disruptions at its GitHub subsidiary. While U.S. President Trump’s administration continues to push for American dominance in the global AI race, the software giant that once seemed to have an unassailable lead is facing a growing chorus of skepticism regarding its ability to convert hype into sustainable revenue.
The primary catalyst for this shift in sentiment is a critical assessment by Steven Levy, Editor at Large at WIRED and a veteran chronicler of the technology industry for over three decades. Levy, who has followed Microsoft since its inception, reported on June 5 that the company’s AI products are currently "not selling" at the expected pace. His analysis, which includes an interview with Microsoft Vice President Scott Hanselman, suggests that the company may have slipped back into a "catch-up mode" reminiscent of its struggles during the mobile and search revolutions of the early 2000s. Levy’s perspective is rooted in a long-term observation of Microsoft’s cyclical nature, often characterized by periods of intense innovation followed by bureaucratic stagnation.
This cautious outlook is currently a minority view among the broader sell-side community, where many analysts maintain "Buy" ratings based on the long-term potential of Azure and Copilot integrations. However, Levy’s reporting highlights a disconnect between the "sunny view of AI" presented by CEO Satya Nadella during his keynote and the ground-level reality of enterprise adoption. According to WIRED, the cloud over the conference was not Azure, but rather the realization that the "agentic AI" future—where software agents perform complex tasks autonomously—remains more of a roadmap than a ready-to-ship reality for most customers.
The technical health of Microsoft’s developer ecosystem has also come under scrutiny. GitHub, the platform central to Microsoft’s strategy for winning over the next generation of coders, has been "plagued with troubles" recently, including software supply chain attacks where hackers have poisoned open-source code at an "unprecedented scale." These security lapses, combined with the launch of "Claude Code" and "OpenClaw" by competitors, have challenged GitHub Copilot’s dominance. While Microsoft announced a new GitHub Copilot app at Build 2026 to move AI from "writing code" to "participating in the delivery workflow," the platform’s recent instability has given some developers pause.
A more optimistic, or at least pragmatic, counter-perspective exists within the DevOps community. According to reports from Dev.to and Windows Forum, the announcements at Build 2026—including the "Copilot super app" and durable APIs—represent a necessary evolution of the Windows operating model. These supporters argue that Microsoft is successfully reconciling the needs of enterprises, which demand control and auditability, with the needs of developers who want speed. From this viewpoint, the current "sluggishness" is merely the friction of a massive platform shift that will eventually consolidate Microsoft’s position as the "control plane" for the next decade of automation.
The ultimate success of Microsoft’s current strategy hinges on whether "agentic AI" can move out of the demo phase and into production workloads. The company’s "Microsoft Foundry" update is a direct attempt to address this, providing the platform services required for agents to handle real-world data and security operations. However, as Levy notes, the risk remains that Microsoft is once again building a "product roadmap wearing an operating system’s clothes," prioritizing corporate strategy over the immediate utility that drives consumer and developer loyalty. The coming quarters will determine if the current "mojo" deficit is a temporary lull or a sign of a deeper structural challenge.
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