- What Cathie Wood Just Did?
- Why Shopify Stock? The Numbers That Won Cathie Over
- Should You Copy Famous US Investors? Here's What 10 Years of Data Says
- The Bottom Line
On May 5, 2026, Cathie Wood's ARK Invest deployed $32.6 million into Shopify, right after the e-commerce giant posted its most powerful quarter on record. At the same time, she sold $15.6 million of AMD, a semiconductor stock that had already surged 93% in 2026.
That swap wasn't reactive. Wood is deliberately rotating capital away from AI chipmakers toward companies actively embedding AI into their revenue models. And Shopify, fresh off a record-breaking $100 billion quarterly GMV milestone and 34.3% revenue growth, handed her exactly the entry she was looking for.
Let's break down what Cathie Wood bought, why Shopify made the cut right now, and the real question of whether following these famous US investors is actually a winning strategy for you.
What Cathie Wood Just Did?
ARK Invest purchased 255,804 shares of Shopify across three ETFs namely ARKK, ARKW, and ARKF, on May 5. The flagship ARKK fund alone absorbed $20.7 million of that, representing 7.8% of its market value. A day before, on May 4, ARKK had picked up another $6.6 million of the same stock. Two days, one clear conviction.
Funding the purchase? AMD. Wood sold approximately $15.6 million worth of the chipmaker on May 5, the same day she bought Shopify. AMD had returned 93% year-to-date at the time of the sale, making it one of 2026's biggest winners. Locking in those gains to fund a new AI thesis is a move that says a lot about where ARK thinks the next leg of returns comes from.
Why Shopify Stock? The Numbers That Won Cathie Over
Shopify's Q1 2026 earnings were hard to look away from.
- Revenue reached $3.17 billion, up 34.3% year-over-year.
- Gross Merchandise Volume crossed $100 billion in a single quarter for the very first time.
- Free cash flow margin came in at 15%, with similar guidance for Q2.
- Adjusted net income surged 44%, beating estimates on both ends of the income statement.
Source: Shopify Q1 2026 Earnings Report, Shopify Investor Relations
But Wood wasn't buying just an earnings beat. She was buying a thesis. Shopify spent much of its earnings call positioning itself not as an e-commerce platform, but as AI infrastructure for commerce. President Harley Finkelstein put it plainly on the call: the company had entered the AI era with a "clear edge" of two decades of commerce intelligence that no competitor can simply replicate.
Three data points from the earnings call that likely drove Wood's conviction:
- AI-driven traffic to Shopify stores grew 8x year-over-year
- AI now writes over 50% of Shopify's internal code
- Large merchants generating over $100M in GMV have nearly doubled in two years
The company is also building what management calls 'agentic commerce' infrastructure, working with Google and Amazon on the Universal Commerce Protocol (UCP), a standard that lets AI agents discover and buy products on behalf of consumers. For ARK, whose entire philosophy is centred on disruptive technology platforms, that's not a side story, that's the whole story.
Should You Copy Famous US Investors? Here's What 10 Years of Data Says
Following legendary investors sounds compelling. But the numbers deserve a hard look. Here's an approximation of what you'd have earned by tracking a few of such big names investor's public portfolios over the last decade..
| Investor | Public Vehicle | 10-Yr Total Return | 10-Yr CAGR |
| Warren Buffett | BRK.B (NYSE) | ~228% | ~12.6% |
| Cathie Wood | ARKK ETF | ~319% | ~15.3% |
| Bill Ackman | PSH / PSHZF (OTC) | ~293% | ~14.8% |
| S&P 500 (Benchmark) | SPY ETF | ~316% | ~15.3% |
Sources: Google Finance
The uncomfortable headline buried in this data: ARKK's 10-year return is almost identical to a plain SPY index fund (319% vs 316%), but ARKK delivered that with a max drawdown of -77% and a -67.5% single-year loss in 2022. PortfoliosLab puts PSH's 10-year annualized return at ~14.62%, slightly below the S&P 500's ~13-15% benchmark. And Buffett's BRK.B trailed the index by a meaningful 3 percentage points per year compounded over a decade, the biggest underperformance of the bunch.
Here’s what I think about following big-name investors: every investor is unique, and so is their journey. Whether it’s the Oracle of Omaha Warren Buffett or someone sitting with a laptop in Delhi, Mumbai, or anywhere else in India, blindly copying another investor rarely works in the long run.
The reality is that you’re not copying just their stock picks. You’re trying to copy their risk appetite, time horizon, conviction levels, access to information, and ability to handle volatility, all of which are deeply personal.
If pure copying is the goal, a low-cost index ETF tracking the S&P 500 or the Nasdaq-100 will probably work better for most people without exposing them to extreme drawdowns tied to a single investor’s style or strategy.
What actually makes sense is learning from these investors instead of cloning them. For example, while much of the market is aggressively chasing mainstream AI trades, Cathie Wood has taken a very different route with Shopify. The important question is why is that? Is she right? More importantly, is her thesis right?
Similarly, why is Warren Buffett sitting on a massive cash pile of $397B while markets remain near highs? Understanding the reasoning, philosophy, and risk management behind that decision is far more valuable than blindly mirroring the portfolio itself. The real goal should be building a framework that works for your own temperament, goals, and investing style.
The Bottom Line
Cathie Wood's $32.6 million Shopify trade is a genuine signal, not because you should copy it, but because it tells you where long-duration money sees compounding potential in 2026. AI is no longer just a chip story. The next chapter belongs to platforms that can turn AI into commercial scale, and Shopify is making a credible claim for that position.
But the broader lesson from a decade of famous investor returns is quieter and less glamorous: disciplined, diversified exposure to US markets through a low-cost index has outperformed most star investors with significantly less risk. Legendary portfolios are best used as research maps, not trade manuals.