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Source document· April 23, 2026

The Best Artificial Intelligence (AI) Growth Stocks on the Nasdaq That Wall Street Loves Right Now

View original at nasdaq.com
The Best Artificial Intelligence (AI) Growth Stocks on the Nasdaq That Wall Street Loves Right Now Key Points Wall Street analysts love these two artificial intelligence (AI) stocks…
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  • If you invested $1,000 in Netflix on December 17, 2004, you'd have $502,837

    60% confidence
  • Roughly 93% of the 70 analysts who cover Nvidia say it is a buy with a median price target of $267.50, suggesting about 33% upside

    60% confidence
  • Stock Advisor's total average return is 977% compared to 200% for the S&P 500

    60% confidence
  • If you invested $1,000 in Nvidia on April 15, 2005, you'd have $1,241,433

    60% confidence
  • 100% of the 13 analysts that cover Applied Digital rate it a buy, with a median price target of $43 per share, suggesting 32% upside

    60% confidence
  • Applied Digital is targeting $1 billion in net operating income (NOI) over the next five years

    60% confidence
  • Interest is high among hyperscalers for all of these new facilities

    60% confidence
  • Some $4 trillion is projected to be spent on data centers in 2030 worldwide, up from $1 trillion in 2025

    60% confidence

Data points we hold from this source

S&P 500 · return200 percent
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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