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Source document· July 12, 2026

Is It Really Safe to Invest in AI Stocks and ETFs Right Now? Here's What the Experts Say.

View original at nasdaq.com
Is It Really Safe to Invest in AI Stocks and ETFs Right Now? Here's What the Experts Say. Key Points AI stocks have come under recent pressure amid concerns about spending…
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  • AI data center capex is expected to grow by another 40% to 50% next year, bringing it to around $1.5 trillion

    60% confidence
  • Computing demand is so strong that the economics of providing this computing power to third parties can be more attractive than for internal projects

    60% confidence
  • Raised 2026 capex guidance to $52-56 billion after extensive diligence talking to his own customers and his customers' clients, expressing confidence in continued AI chip demand

    60% confidence
  • This capex growth is supported by a combination of AI agent adoption, token growth, and current market supply constraints

    60% confidence
  • According to a survey done before the start of the year, 90% of investors polled planned to hold or buy more AI stocks this year, and only 7% planned to decrease their exposure

    60% confidence
  • Recommends the Vanguard S&P 500 ETF as a core holding investors can consistently dollar-cost average into, alongside AI leaders Nvidia, Alphabet, Meta Platforms, AMD, Broadcom, and TSMC for long-term holding

    60% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
AI Capital Surge Meets Investor Caution: Record Funding Rounds and Government Contracts Amid Valuation Skepticism
A single-week cluster of large AI/fintech funding rounds (Socure, Stability AI, Emerald AI, Generalist AI, Instinct, Gatik, Regent Craft) shows venture capital still pouring into AI infrastructure, identity, and autonomy plays, while Palantir's Army TITAN contract win coincided with a 6% stock drop — signaling that even flagship AI-defense revenue isn't immune to market reassessment of AI valuations. Efficiency-focused innovations like Multiverse Computing's model compression suggest the sector is also pivoting toward cost/inference economics as capital intensity draws scrutiny.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
We flag conflicts openly ›
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Is It Really Safe to Invest in AI Stocks and ETFs Right Now? Here's What the Experts Say. — Source | Via News | ViaNews EU