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Source document· March 3, 2026

5 Artificial Intelligence (AI) Stocks That Could Make You a Millionaire.

View original at nasdaq.com
5 Artificial Intelligence (AI) Stocks That Could Make You a Millionaire. Key Points Instead of betting on who wins the AI model race, these stocks let you invest in the companies supplying the tools everyone needs…
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  • If you invested $1,000 in Netflix on December 17, 2004 when Stock Advisor recommended it, you'd have $523,599

    80% confidence
  • Most companies won't develop their own agents from scratch. Instead, they'll use vendors already embedded in their back-office workflows

    80% confidence
  • If you invested $1,000 in Nvidia on April 15, 2005 when Stock Advisor recommended it, you'd have $1,118,640

    80% confidence
  • Before AI can work, the data has to be clean, organized, and controlled. Teradata is trying to be that central data and AI layer for businesses

    80% confidence
  • Qualys revenue growth slowdown drop is temporary and the company had inflated outlooks to start with

    80% confidence
  • Super Micro Computer management is still guiding to tens of billions in annual revenue tied to AI servers

    80% confidence
  • AI capital expenditures are shifting from just buying GPUs to optimizing full data-center stacks including power, cooling, and density

    80% confidence
  • If Supermicro merely rides its existing design wins and AI capex forecasts to mid-teens or better annual earnings growth over the next decade, a five-figure investment today has a plausible path to compound into a six- or seven-figure position over time

    80% confidence
  • Stock Advisor's total average return is 951% compared to 194% for the S&P 500

    80% confidence
  • UiPath has the potential to be the vendor for workflow AI as companies adopt AI agents

    80% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Q4 2026 Biopharma Catalyst Cluster: Late-Stage Readouts and Regulatory Milestones
October 2026 brings a dense run of Phase 3 wins (ALOFT-IPF, RESTORE-3), new data presentations (Roche, Bayer, Lilly, Vertex, Galderma) and regulatory steps (FDA acceptance of Roche's vamikibart BLA, Scholar Rock's EMA resubmission). The next big catalyst is the ivonescimab FDA PDUFA date on 2026-11-14. Obesity combination studies (REDEFINE 4, TOGETHER-PsO) and the 2027 Maritime-1 completion point to more catalysts ahead. QAIAx's speculative AI-linked trial claims (the QIII pilot, targeted for 2027) are an unrelated micro-cap sideshow with weak evidence, and have little in common with the large-cap pipeline news.
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
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
We flag conflicts openly ›
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