Recently, I came across a pretty interesting story—the data on how members of Congress perform in stock trading has been released. California Democratic Congressman Ro Khanna’s performance in AI-related investments is truly outstanding; from January last year to April now, he has outperformed the S&P 500 index by 112.1 percentage points. This achievement directly surpasses the former “Stock Market Guru” of Capitol Hill, Nancy Pelosi, whose excess return was only 38.5%, and now has been overtaken by a newcomer.

The data was shared this week by crypto entrepreneur Anthony Pompiliano, who cited analysis from ProCap Insights on members of Congress’s stock disclosures. Pompiliano also bluntly stated on X, “Nancy Pelosi, step aside, a new trading king has emerged in Congress,” and praised Khanna for “destroying” the S&P 500 since the beginning of this year.

Speaking of this, Elon Musk also took notice of the news and expressed amazement at Khanna’s operations. Indeed, in this wave of AI, few can seize the opportunity, and Khanna is clearly one of them. This excess return mainly comes from precise investments in AI-related companies, what’s often called “alpha” returns.

However, this also raises some thoughts: should members of Congress be allowed to trade individual stocks directly? After all, the information they have access to is completely on a different level from ordinary investors. Khanna’s impressive record, while eye-catching, also brings this old topic back into the spotlight. Interestingly, Musk’s attitude toward this phenomenon is also worth noting, as it involves issues of information asymmetry and market fairness. In short, the enthusiasm for AI investing continues, and the trading skills of Congress members are indeed something market players can learn from.