Midterm US elections, earnings, jobs data loom for AI-wary stock market

AI-related concerns intensified after Intel shares fell nearly 29% on Friday, helping drive the S&P 500 down 1.8% and the Nasdaq down 2.9%; investors questioned the financing and returns behind data-center investment after disappointing results from Alphabet and Amazon. Next week brings U.S. midterm elections, results from Apple, AMD and Palantir, and the October jobs report, with possible election-driven AI and data-center scrutiny adding uncertainty. S&P 500 third-quarter earnings were tracking 31.6% growth, while the index remained up more than 10% for the year.

Analysis

The key risk is not that AI spend stops, but that returns arrive too slowly to justify the capital intensity: depreciation, power, and financing costs can rise before monetization catches up. That makes capex guidance and evidence of utilization/returns more important than headline revenue growth. CAT’s reaction is a useful warning that exposure to data-center buildout does not guarantee upside when expectations are elevated; equipment demand can be strong while incremental guidance still disappoints.

Near term (days), AAPL, AMD, PLTR and the jobs report create concentrated event risk. Election outcomes are more likely to affect sentiment first than to halt projects immediately; the 1–3 month transmission is through state/local permitting, grid access and power costs. Over 6–18 months, sustained constraints or weaker project economics could delay builds and pressure both AI suppliers and utilities facing affordability scrutiny. Conversely, continued capex with improving customer returns would validate the trade. The contrarian point: Friday’s tech-led decline may overstate systemic damage if earnings breadth and non-tech participation hold, but broad earnings growth does not itself prove AI returns.

Prefer relative-value exposure over a broad market short: modestly favor RSP over QQQ after the near-term event cluster, recognizing sector and beta differences. Reassess if hyperscalers demonstrate improving returns on invested capital and capex converts into durable monetization. Verify capex commitments, depreciation, utilization, and power availability before treating any individual supplier as a durable beneficiary; those details are not established here.

Key Decisions for Investors

• Consider a staged, modest long RSP / short QQQ position over 1–3 months to express reduced mega-cap AI concentration, not a bearish view on the whole market. Cut/reassess if tech leadership resumes alongside credible hyperscaler return metrics; the trade can lose if the election/jobs data trigger a broad risk-off move or tech earnings reaccelerate.
• Avoid adding to AMD, PLTR, or AAPL solely on the post-selloff setup ahead of their reports. Treat guidance on AI-related demand, customer concentration, and margins as the catalyst; wait for evidence rather than extrapolating sector capex headlines.
• Track the October jobs report and local/state data-center permitting and power developments. A weaker labor reading alongside resilient growth could complicate the rate outlook; accelerating project delays or power-cost pressure would strengthen the case for trimming AI-infrastructure exposure.