Morgan Stanley’s Andrew Slimmon argues tech sell-off may be “healthy” as investors brace for AI-driven volatility

A wave of selling in technology stocks has put investors on edge, but Morgan Stanley is taking a more measured view of the turbulence, according to remarks from Andrew Slimmon in a CNBC interview. Slimmon, who covers aspects of technology markets for the firm, suggested the market may be getting what it needs after a period of sharp optimism and concentrated positioning in AI-linked names.

The comments came as investors digested a sell-off across parts of the tech complex. While Slimmon did not frame the move as painless, he argued that the market pullback could help reset expectations and reduce the risk that prices had run ahead of fundamentals. In that framing, the shakeout is less about the end of the AI trade and more about the market re-pricing the pace at which winners will convert AI demand into cash flow.

Slimmon also pointed to “AI winners,” implying that not every company tied to artificial intelligence will be able to sustain the market’s earlier enthusiasm. His broader message was that the market’s focus should shift from the narrative of AI adoption to which businesses can demonstrate traction in areas like infrastructure build-out, enterprise deployments, and monetization. However, the interview did not provide a specific list of companies or a time-bound forecast in the material available for this report.

The Morgan Stanley stance matters because the firm is both a major investment bank and a key voice in market commentary. In periods of rapid sentiment change, investors often look to Wall Street’s strategy and research leadership to interpret whether volatility is indicating a fundamental deterioration or a temporary correction. Slimmon’s “healthy market” framing aligns with that second interpretation, even though it does not dismiss the possibility of ongoing swings.

At a sector level, the technology sell-off highlights a recurring challenge in AI: progress is real, but earnings visibility can be uneven. Hardware cycles, data center spending, software integration timelines, and sales cycles can all mean that investor confidence does not move in a straight line. When that confidence is concentrated in a subset of companies, price corrections can be abrupt, even if long-term demand remains intact.

Notably, the available reporting does not include detailed figures, portfolio actions, or specific valuation arguments from Morgan Stanley in the interview. It also does not disclose whether Slimmon’s comments were tied to any particular Morgan Stanley model forecast, target multiples, or near-term catalysts. Without that detail, investors are left with the qualitative takeaway rather than a concrete “what to buy next” announcement.

What to watch next is how Morgan Stanley and other major banks translate the “market reset” argument into guidance that investors can use. In particular, attention will likely shift toward evidence of monetization, such as management commentary on AI-related revenue streams, guidance on capital expenditure plans, and any shifts in how analysts are underwriting AI demand and margins across the technology stack.

For now, Slimmon’s message is essentially a call for perspective: volatility may feel alarming, but it can also be the mechanism by which markets align expectations with fundamentals, especially in fast-moving AI segments. The coming quarters should show whether that alignment is taking hold and whether investors reward the firms that can demonstrate real earnings traction.