I Let AI Pick My Stocks for 90 Days: The Results Shocked Me

Sanat Aryal
Dec 27, 2025
2 min read

Artificial intelligence has been making waves across industries, from healthcare to marketing. But one area where curiosity is especially high is investing. Could an algorithm really outperform human intuition and traditional financial strategies? To find out, I decided to run a bold experiment: I let AI pick my stocks for 90 days. The outcome was far more surprising than I expected.

Setting the Stage

Like many retail investors, I’ve spent years juggling financial news, analyst reports, and gut instincts. But with AI tools becoming more accessible, I wondered if machine learning could cut through the noise. I gave the AI a simple mandate, select a portfolio of stocks based on market trends, sentiment analysis, and historical performance. My role was limited to monitoring results; I didn’t override its decisions.

The First Month: Skepticism Meets Reality

Initially, I was skeptical. The AI picked companies I wouldn’t have considered, including mid‑cap tech firms and renewable energy players. While I leaned toward “safe” blue‑chip stocks, the algorithm seemed more adventurous, balancing growth potential with risk. By the end of the first month, the portfolio had already outperformed my personal picks by a modest margin.

The Midway Point: Momentum Builds

By day 45, the AI’s selections were showing consistent gains. It wasn’t just chasing hype; it was identifying undervalued opportunities before they hit mainstream headlines. For example, one stock in the clean‑energy sector surged nearly 20% after the AI added it to the portfolio. Meanwhile, my traditional picks were lagging behind.

The Final Stretch: Results That Shocked Me

At the 90‑day mark, the numbers spoke for themselves. The AI‑driven portfolio delivered a return that was nearly double what I achieved through manual investing during the same period. While not every pick was a winner, the overall strategy demonstrated resilience and adaptability qualities that are hard to maintain when emotions cloud judgment.

Key Takeaways

AI thrives on data, not emotion. It doesn’t panic during market dips or get greedy during rallies.
Diversification was smarter. The algorithm spread investments across sectors I would have ignored, reducing risk.
Timing mattered. AI’s ability to process real‑time sentiment gave it an edge in spotting momentum early.

Should You Let AI Invest for You?

This experiment doesn’t mean AI is a magic bullet. Markets are unpredictable, and no system guarantees success. However, it highlighted how AI can serve as a powerful tool for retail investors especially when combined with human oversight.

The best approach may be a hybrid. Let AI handle the heavy data crunching while you apply judgment to align investments with your personal goals.

Summary

I began this journey with doubt, but I ended it with respect for what AI can achieve in finance. The results shocked me not because AI was flawless, but because it consistently outperformed my instincts. For anyone curious about the future of investing, my 90‑day experiment suggests that AI isn’t just a trend, it’s a game‑changer.