AI Rally Faces Scrutiny Amid Shifting Market Factors

The recent rally in AI-related stocks, particularly in the semiconductor sector, is facing increased scrutiny as market watchers begin to question the sustainability of soaring margins. While semiconductor EBIT margins are projected to skyrocket from 16% in 2025 to 44% in 2026, this growth is attributed more to operating leverage than a genuine productivity boom. This high fixed-cost business model means that even modest revenue growth can significantly boost profits, but the reverse is also true: a slowdown could lead to disproportionately larger profit drops.

Cameron Dawson, CIO at NewEdge Wealth, discussed these dynamics, noting that the market has spent recent quarters trying to identify winners and losers in the AI trade. The focus has shifted towards companies receiving capital expenditure (CapEx) dollars from hyperscalers, rather than the hyperscalers themselves. Morgan Stanley has predicted that hyperscaler CapEx could reach $1.2 trillion in 2027 and $1.4 trillion in 2028. The critical question remains when these massive investments will yield a tangible return, with cash flow from operations being a key metric to watch.

Earnings Expectations and Market Shifts

The conversation also touched upon the broader market sentiment, particularly concerning upcoming earnings reports. While the first quarter saw strong earnings, the bar is set high for the second quarter with a projected 23% earnings growth. Uniquely, earnings estimates have been revised upward throughout the quarter, from 18% to 23%, raising concerns about the typical earnings beat rate of 80-85%.

The full discussion can be found on Bloomberg Podcast's YouTube channel.

Dawson highlighted a potential shift in market behavior, moving away from a speculative, 'YOLO dream for the future' market towards one driven by fundamentals. This shift is evidenced by the recent underperformance of the Mag Seven stocks compared to companies that are beneficiaries of AI CapEx. Factors like high-beta momentum and unprofitable tech stocks, which had previously seen significant outperformance, are now showing signs of weakness. For instance, the Goldman Sachs Unprofitable Tech Index, which had surged 50% from April lows, is now down about 27%, and the index is trading below its 50-day moving average for the first time in a while.

The 'AI Trade' and Capital Allocation

The core of the AI trade, according to Dawson, hinges on the CapEx guidance from hyperscalers. The market is closely watching where this massive capital is being deployed and who is set to benefit. The question of whether the market is seeing a legitimate rotation from the 'Big Seven' tech giants to other players is a key point of analysis. The current trend suggests a preference for companies that are direct recipients of AI-driven capital spending.

A crucial metric in this analysis is cash flow from operations. While everyone focuses on free cash flow (cash flow from operations minus CapEx), Dawson emphasized that for CapEx to continue soaring, operating cash flow must also increase. This highlights the delicate balance required for sustained growth in the AI sector.

Shifting Market Factors and Quality

Dawson noted that the quality factor has significantly underperformed year-to-date, with strength concentrated in high-beta momentum and unprofitable tech names. However, recent market movements indicate a potential reversal. High-beta momentum stocks have seen a decline, and unprofitable tech indices are showing signs of weakness, suggesting a move back towards more fundamentally sound investments.