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InsiderMonkey Names 15 AI Stocks for Long-Term Returns

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4.7
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InsiderMonkey Names 15 AI Stocks for Long-Term Returns
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InsiderMonkey published an article titled "15 Best AI Stocks That Will Make You Rich in 10 Years" on June 26, 2026. The piece argues that artificial intelligence remains a powerful long-term market theme and highlights investor selectivity shifting toward companies with visible revenue, strong balance sheets, and clear roles in the AI ecosystem, per the article. The article quotes institutional commentary, including T. Rowe Price saying the AI story is moving "from potential to profitability," BlackRock describing AI as part of a major infrastructure buildout, and J.P. Morgan Asset Management noting an "AI investment boom" dominating the outlook. The author used the Finviz screener to target stocks with projected double-digit earnings growth over the next five years and further limited selections to firms with recent noteworthy developments and popularity among analysts and hedge funds, according to the article.

What happened

The article "15 Best AI Stocks That Will Make You Rich in 10 Years" was published on June 26, 2026 by InsiderMonkey. The article argues that artificial intelligence remains a powerful long-term market theme and that investor selection is shifting toward companies with visible revenue streams, strong balance sheets, and defined roles in the AI ecosystem, per the piece. The article quotes T. Rowe Price saying the AI story is moving "from potential to profitability," BlackRock describing AI as an infrastructure buildout requiring "semiconductors, equipment, labor, data centers" and "massive amounts of power," and J.P. Morgan Asset Management noting the "AI investment boom increasingly dominates the outlook."

Technical details

The article describes its selection method as using the Finviz screener to identify companies expected to post durable double-digit earnings growth annually over the next five years, then limiting candidates to firms with recent noteworthy developments and strong interest from analysts and hedge funds, per the article. InsiderMonkey also cites the performance of its quarterly newsletter strategy, stating a 599.2% return since May 2014.

Editorial analysis - technical context

Industry observers note that screening for projected earnings growth and hedge-fund popularity tends to emphasize established providers of AI infrastructure and software, such as chipmakers, cloud platforms, and enterprise software vendors. For practitioners, that pattern aligns investor attention with companies that convert AI demand into measurable revenue and capital expenditure, rather than purely exploratory research efforts.

Context and significance

Editorial analysis: The article reflects a broader market pivot from speculative narratives to monetization and infrastructure investment, a dynamic frequently cited by asset managers and banks. For data scientists and ML engineers, the shift implies corporate procurement and vendor selection will increasingly favor reliability, scalability, and measurable ROI in AI deployments.

What to watch

For practitioners: monitor quarterly earnings and guidance for AI-related revenue lines, capex announcements for data centers and custom chips, and changes in institutional ownership patterns reported by 13F filings and analyst coverage. The article itself lists 15 stocks, but it does not provide a substitute for due diligence tied to specific practitioner needs.

Key Points

  • 1InsiderMonkey published a 15-stock AI list emphasizing durable revenue and balance-sheet strength over hype.
  • 2Screening for projected double-digit earnings and hedge-fund ownership biases results toward infrastructure and software incumbents.
  • 3Practitioners should track earnings, capex, and institutional holdings as indicators of durable AI adoption and vendor viability.

Scoring Rationale

A financial website's curated AI stock list, while informative for investors tracking infrastructure and software spend, is an aggregation piece rather than primary news. The article synthesizes asset manager commentary and hedge-fund ownership data but does not break new ground, placing it in the minor-to-solid range for AI/DS practitioners.

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