With Fed mum on next move, investors look to earnings to keep stocks afloat

Investors head into next week balancing uncertainty around the Fed with a strong earnings backdrop: about 85% of S&P 500 companies reporting have beaten estimates and profits are up 32.7% (excluding mark-to-market at Alphabet and Amazon), while AI infrastructure spending remains a key support. Big Tech’s AI spending is projected to rise above $700B this year from $400B in 2025, with executives offering mostly upbeat or limited-downside guidance. Key macro risks persist as real Treasury yields and oil/geopolitical developments (U.S.-Iran talks) could re-accelerate inflation, but markets are currently supported by earnings and falling oil prices.

Analysis

The cleanest second-order trade here is not “buy tech,” but own the picks-and-shovels behind AI capex and stay selective on the hyperscalers. ADI is the purer expression of incremental infrastructure spend because it monetizes equipment intensity with less regulatory and valuation overhang than AMZN or GOOGL; if the spend cycle is real, supplier revenue can re-rate before the market fully believes end-demand returns. By contrast, the megacaps may report strong top-line trends while still facing margin drag from heavier depreciation and opex, which can cap upside if investors start discounting free-cash-flow conversion rather than headline growth.

WMT is the key non-tech signal: if it confirms resilient traffic, it supports the “soft landing” narrative and gives the market cover to pay up for duration assets. But if Walmart’s commentary implies trade-down or basket pressure, that would be an early warning that the market is extrapolating too much consumer strength into Q4, especially with real yields still the main valuation governor. That matters more for AMZN than most realize: a weaker consumer can be offset by ad/cloud resilience, but it would still slow the broader e-commerce flywheel.

The main tail risk is macro, not earnings. A rebound in energy or a hawkish Jackson Hole tone could lift real yields fast enough to compress tech multiples within days, even if fundamentals remain decent; the reversal would likely show up first in high-duration leaders before bleeding into semis and infrastructure names. Over 1-3 months, the market will test whether AI capex is generating enough monetization to justify the spend surge; if not, the trade shifts from “earnings trump all” to “expensive growth with falling ROIC,” and the premium names can underperform despite beats.

Key Decisions for Investors

• Go long ADI into the next AI-infra read-through; best 1-3 month risk/reward if hyperscaler capex stays elevated. Use a stop if management commentary implies order normalization or if the stock loses ~5-7% on a strong market tape.
• Relative value: long ADI / short GOOGL on any post-earnings strength in the index. Thesis is that ADI captures the spending wave sooner, while GOOGL remains exposed to multiple compression if real yields rise; cover the short if GOOGL shows materially higher AI monetization or margin expansion.
• Hold AMZN as a tactical long only if rates stay contained over the next 2-4 weeks; otherwise fade strength on the view that heavy AI capex plus consumer sensitivity can limit multiple expansion. Falsifier: downward revision to cloud or ad growth is not the trigger — the trigger is a sustained move higher in real yields.
• Use WMT as a hedge against a weaker consumer: long WMT on any dip into Walmart earnings if management confirms stable traffic and inventory discipline. If basket growth slows or trade-down accelerates, that is a warning to de-risk consumer cyclicals for the next 1-3 months.
• Set a macro alert rather than a directional trade: if 10Y real yields re-test recent highs or Brent oil spikes, trim duration exposure in AMZN/GOOGL and rotate into cash-flow defensives. That would be the cleanest catalyst to invalidate the current ‘earnings overpower macro’ setup.