Microsoft’s Role in an AI Agent World is a Problem for Them, says Intelligent Alpha’s Doug Clinton

In the spring of 2026, the technology sector—particularly the software and cloud computing industries that power much of the global economy—stood at a pivotal crossroads amid the rapid evolution of AI.

Once-celebrated “Magnificent 7” stocks, including heavyweights like Microsoft and Meta, had cooled off sharply after years of AI-fueled gains, with many trading well below their recent peaks as investors grappled with ballooning capital expenditures on AI infrastructure and mounting uncertainty about long-term winners.

The conversation on CNBC’s Closing Bell unfolded against this backdrop of shifting AI leadership, from foundational models to the emerging era of autonomous AI agents—intelligent systems capable of independently handling complex enterprise tasks, potentially reshaping or even disrupting traditional software licensing models and the role of incumbent platforms.

Amid concerns over whether massive AI investments would deliver sustainable returns, and with the broader software landscape dubbed “Schrödinger’s software” due to its uncertain future relevance, host Scott Wapner turned to Doug Clinton of Intelligent Alpha to unpack the challenges facing Microsoft and Meta in this transformative agent-driven future.

Key Insights:

• Microsoft’s Position in AI: Clinton argues that Microsoft’s stock peaked in October and has faced headwinds due to shifting AI leadership (from OpenAI toward Google and now Anthropic). He highlights Microsoft’s close ties to OpenAI as a potential vulnerability. The bigger long-term issue is uncertainty around Microsoft’s role in an AI agent-driven future—where, in 3–5–7 years, much enterprise work could be handled by autonomous agents. Clinton calls this a clear “problem” for Microsoft, with no quick resolution in sight.
• Broader Software Industry Uncertainty: Clinton uses the analogy of “Schrödinger’s software” (like Schrödinger’s cat) to describe the current state of the software industry: it’s unclear which companies will remain relevant or “alive” in a few years as AI transforms everything. This uncertainty won’t be settled this year or next.
• Meta’s Challenges: Clinton notes Meta’s history of heavy spending (tens of billions) on the metaverse, which didn’t deliver results and led to pullbacks. Now Meta is pouring hundreds of billions into AI, but he warns that not all such massive AI investments across tech will pay off. Meta is not seen as a leader in frontier AI models.
• “Magnificent 7” Turning “Miserable 7”: The discussion references how the once-dominant “Magnificent 7” tech stocks have struggled recently. Clinton does not hold direct positions in Microsoft or Meta; instead, his AI-focused picks include Nvidia, Google (Alphabet), and Amazon, which he views more favorably due to stronger leadership and monetization paths in AI. He notes external pressures like rising interest rates and geopolitical uncertainty (e.g., war) are compounding issues.
• Competitive Landscape: About 10 companies (including OpenAI and Anthropic) are competing intensely, with blurring lines between customers and competitors. Google and Amazon are positioned better for AI monetization than some peers.
• Nvidia Update: When asked about Nvidia’s recent stock weakness, Clinton says they still own it but have reduced (“pared back”) the position slightly in recent weeks, as AI models shift toward other hardware (including custom silicon). They have added exposure to alternatives like Marvell and are watching Credo.

Overall, the tone is cautious about near-term stock performance for Microsoft and Meta, emphasizing deep uncertainty in how the AI agent era will reshape the software and tech sectors. Clinton remains bullish on select AI leaders but stresses that many big AI bets may not yield strong returns.