Zandi: Büyümenin En Az %25'ini Yapay Zekâ Sağlıyor

Zandi’s view is near-term bullish for AI-linked capital spending but potentially hawkish for rates. If AI is already responsible for roughly a quarter of growth through demand for chips, data centers, power and networking equipment, the immediate beneficiaries remain Nvidia and the broader semiconductor complex, alongside hyperscalers, data-center infrastructure, electrical equipment, utilities and grid contractors. Bloomberg has similarly described hyperscaler AI spending as a major earnings driver and highlighted “pick-and-shovel” beneficiaries beyond the largest chipmakers.

The more important macro implication is the asymmetry between demand appearing before productivity. Strong AI investment can lift GDP and corporate revenues, but if efficiency gains have not yet increased aggregate productivity, the expansion may add to resource pressure, wages, equipment costs and electricity demand without creating an equivalent disinflationary supply response. That combination is modestly negative for long-duration assets: Treasury yields could face upward pressure, real yields may rise, and equity multiples—especially in expensive growth stocks—could become more sensitive to any repricing of Federal Reserve easing expectations.

For equities, the message is therefore mixed rather than universally bullish. Nvidia and infrastructure suppliers may benefit from sustained order visibility, while software and non-AI sectors need to demonstrate that AI is translating into margins and cash flow rather than merely higher capital expenditure. Recent Bloomberg analysis has pointed to broadening earnings and margin gains, but also to the risk that the market’s AI enthusiasm becomes vulnerable if spending rises faster than monetization.

Potential cross-asset effects include:

• Semiconductors and AI infrastructure: bullish, provided hyperscaler capex and chip demand remain intact.
• Utilities, power equipment and data-center construction: positive through a multi-quarter investment cycle, though financing costs and permitting constraints are risks.
• Long-duration technology equities: vulnerable if inflation expectations or bond yields rise faster than earnings estimates.
• US dollar: potentially supported if stronger US growth delays rate cuts, though a later productivity boom could eventually produce a more benign rate environment.
• Treasuries and inflation-sensitive markets: initially pressured by the demand/inflation component; supported later if measurable productivity gains improve the growth-inflation mix.
• Cyclical equities: could broaden the rally if AI investment stimulates wider business activity, rather than remaining concentrated in mega-cap technology.

The key risk to the bullish interpretation is that AI spending becomes an investment overshoot: demand for compute, power and equipment could weaken before end-user revenues and productivity gains justify the buildout. Conversely, evidence of accelerating output per worker, stronger corporate margins outside technology, or falling unit costs would validate the longer-term productivity thesis and could support equities while reducing inflation pressure.

Traders should monitor upcoming productivity and unit-labor-cost data, core inflation and wage trends, hyperscaler capital-expenditure guidance, Nvidia’s order trajectory, Treasury real yields, and whether the Federal Reserve treats AI-driven demand as a reason to keep policy restrictive. The initial market read is positive for AI earnings and infrastructure, but potentially negative for rate-sensitive valuations until productivity gains become visible.