In July 2026, semiconductor stocks gave back a large piece of a historic run. The Philadelphia Semiconductor Index sold off after a roughly 130% twelve-month rally. Though 12-month gains remain high, the selloff was even more brutal across mid- and small-cap names not covered by the index. Estimates put the total market value erased across the semiconductor sector at over $1 trillion. https://indexes.nasdaqomx.com/Index/Overview/SOX

None of it was a problem with the businesses themselves. Semiconductor and other AI infrastructure companies reported record sales and profit in Q2 2026, with forecasts that the trend will continue into 2027.

That gap between what the businesses did and what the stocks did, and which investors took the hit, is an old problem in new AI technology clothes.

Socially-driven stock trading on the rise… again

Since the development of electronic stock trading platforms in the 1980s, and the acceleration of the trend during the early days of the internet, individual investor participation in trading stocks has been steadily on the rise.

According to JPMorgan Chase, as of early 2025 retail investor trading re-achieved pandemic era levels when individual savings rates spiked (an effect from stay-at-home and government stimulus). As the AI trade and semiconductor stocks heated up during the first half of 2026, new retail investor records were set. Stock market participation is becoming a more integral part of wealth creation and asset allocation for households. https://www.jpmorganchase.com/institute/all-topics/household-financial-health/a-decade-in-the-market-how-retail-investing-behavior-has-shifted-since-2015

More households owning equities is arguably a good outcome (dependent on portfolio needs, of course). But the data shows a slightly different thing taking place: More households are trading equities. 

DALBAR's annual QAIB study has measured the gap between fund returns and investor returns for decades. The gap narrows in some years and widens in others, but the trend has persisted since original studies on the topic dating back to 2000. The most active traders underperformed the market by roughly six percentage points a year. Frequent portfolio turnover driven by emotion-driven trading, often coinciding with bouts of stock market volatility, are the leading cause. https://www.dalbar.com/press-release/dalbars-2026-qaib-report-shows-narrower-investor-gap-amid-a-complex-and-volatile-market-year/

Easy and cheap access to stock trading (now via apps, complete with prediction markets / gambling) has not been good for many retail investors. 

Retail vs. professional investor comparisons aren’t nuanced enough

It’s recent history, so the data has yet to fully emerge, but it’s highly likely that something similar just happened with the leveraged semiconductor and AI trade that lasted through the end of June 2026. An army of individual investors, armed with social media sentiment and a proliferation of blogs and copy-trading services (many powered by a Claude or ChatGPT account) piled in at the wrong time, only to suffer losses when a market de-leverage event struck.

However, it's not just small individual trader investment flows that Wall Street knows how to profit from. The biggest blowup in July 2026 wasn’t a Robinhood account, but Leopold Aschenbrenner’s unfortunately named Situational Awareness fund. After reportedly gaining well over 400% in the first half of the year, the fund’s highly leveraged positions in semiconductor and AI stocks got a margin call, leading to a nearly 70% permanent loss (sale of assets to Citadel) from a peak of $45 billion down to $10 billion.

Proper position sizing and understanding of capital-at-risk blew up billions in gains. The convenient story is that retail traders are the naive money and institutions are the smart money. But July 2026 didn't support that, although many individual investors and traders took a hit as well.

Where the gap actually lies

The gap, as we see it, lies somewhere between the access to technology and financial literacy – not simply “retail” vs. “professional” investor.

Trading access has never been cheaper or faster: Mobile apps, fractional shares, seemingly free stock and options trading, prediction markets, and now a layer of AI-generated commentary that produces confident-sounding analysis at near-zero cost. On that latter point, much work has gone into making modern computing technology and AI easier to understand. But that too frequently turns into emotionally-driven buying, before laying a foundation based on portfolio goals, overall strategy, and where such an investment fits within that context.

Put another way: What is this individual tech stock doing in my portfolio, and what happens to the rest of the portfolio if it's wrong?

A call to action

Those questions are unglamorous, but they’re to ones that separate those investors that compound returns from those that show up in the latest DALBAR or other behavior-gap investment study.

We’re calling this out now at CSI, because we’re now several years into an AI infrastructure driven bull market. As time goes on, more capital chasing the same theme will eventually lower the return on each incremental dollar deployed. How are investor portfolios planning for this future trend?

It’s time to rationalize things for investors. Let’s help put investing in stocks, including high-growth trending AI and semiconductor companies, into proper context.