Anyone who has watched ARK Invest long enough can sense Cathie Wood’s trading rhythm before the headlines catch up. On its own website, her company shares daily purchases and sales, a kind of running ledger of conviction that most fund managers would never disclose. The majority reveal their holdings on a quarterly basis, long after prices have changed. The open kitchen is Wood’s favorite.
In recent months, at least on the scoreboard, that transparency has been working against her. The S&P 500 had hardly moved as of April 10, while ARKK was down about eleven percent for the year. The fund’s annualized return over a five-year period is close to negative eleven percent, while the S&P’s is twelve percent. In isolation, the numbers are horrifying. They are also an expense of conducting business in the manner she does, which is to speak loudly, early, and frequently against the tape.
| Name | Catherine Duddy “Cathie” Wood |
| Born | November 26, 1955, Los Angeles, California |
| Education | University of Southern California (B.S. in Finance and Economics) |
| Current Role | Founder, CEO, and CIO of ARK Investment Management |
| Firm Founded | 2014 |
| Flagship Fund | ARK Innovation ETF (ARKK) |
| 2020 Return (ARKK) | 153% |
| 2025 Return (ARKK) | 35.49% |
| YTD 2026 (as of April 10) | Roughly -11% |
| Investment Focus | AI, blockchain, biomedical tech, robotics, energy storage |
| Headquarters | St. Petersburg, Florida |
| Notable Recent Buys (April 2026) | Amazon, X-Energy, CoreWeave, Spotify |
| Notable Recent Sells (April 2026) | AMD, Teradyne, Rocket Lab, Caterpillar, Iridium |
As a result, traders took notice when ARK’s daily disclosures began to shine in late April. Wood invested roughly $72 million in Amazon and an additional $92 million in X-Energy, a nuclear startup creating small modular reactors, on Friday, April 24. In one afternoon, she cut five beloved pieces to create space. With sales of about $66 million, AMD suffered the most. Iridium Communications, Teradyne, Rocket Lab, and Caterpillar were all clipped on the same day.
It’s difficult to interpret this as anything other than standard rebalancing. Since the start of the AI boom, one of Wood’s most talked-about positions has been AMD. She defended it on TV and incorporated it into almost all of the recurrent topics of discussion regarding chip demand. It appears intentional to cut it so violently on the same day she loaded into a nuclear utility and a hyperscaler. Purchase the cloud first, followed by the power that powers it. The trade appears to be that.

Beneath that is a longer story as well. In a Bloomberg podcast on March 23, Wood predicted that the world economy would experience a “great acceleration,” driven by AI and other cutting-edge technologies, rather than a downturn. She cited the fact that the real GDP of the world grew by about 0.6 percent on average between 1500 and 1900, then by about 3 percent during the Industrial Revolution. She contends that growth may now reach the range of seven to eight percent. That figure seems absurd until you consider that she has said more outrageous things and been correct on occasion.
Her recent trades are connected by the deflationary angle. According to her own estimation, the cost of AI training is decreasing by 75% annually. The cost of inference is decreasing even more quickly. If that is the case, the value shifts downstream, from the chipmakers to the owners of the platforms and electricity. Thus, Amazon. X-Energy is the result. Thus, AMD’s cooling enthusiasm.
The rotation’s profitability depends on variables that are currently difficult to model. Days after the trade, Amazon released its Q1 earnings, and X-Energy is years away from significant revenue. Wood has been early in the past, sometimes in a painful way. Investors who witnessed the sixty percent drawdown in 2022 recall the price.
However, as she observes this, she feels that her perspective on the AI cycle has changed. Perhaps something else is replacing the picks-and-shovels stage. It’s another matter entirely whether the market accepts her timing.
