If an AI stock pick beat the S&P 500, was it a good pick? You could have bought a Nasdaq-100 fund instead. If the thesis was about chips, you could have bought a semiconductor fund and skipped the single-stock risk.
We tested that choice using Buzzberg's tracked 2026 research. For every eligible stock view, we modeled buying the stock and three ETFs—SPY, QQQ and SMH—at the same next daily close, then selling them on the same date. We checked 7, 30, 90 and 180 days, plus where each view stood on November 6. The stocks beat SPY and QQQ on average at every fixed horizon. The comparison with SMH was much closer—and changed with the holding period.
QQQ vs SPY is only part of the question
SPY follows the S&P 500. It asks whether a stock view was better than broad US large-cap exposure. QQQ follows the Nasdaq-100: large nonfinancial Nasdaq-listed companies, including many of the businesses behind the AI trade. SMH is narrower. Its semiconductor index holds chip makers and equipment suppliers, including Nvidia, TSMC, Broadcom, AMD and Micron.
These funds answer different questions. SPY is the broad-market hurdle. QQQ asks whether picking one AI-related company improved on a basket heavy with large technology businesses. SMH is the demanding comparison for a chip thesis. It is much less suitable for judging an AI software or cloud idea.
A week, a month, a quarter and six months
The 90-day view gives us 9,848 completed observations: a separate $100 stock purchase became $115.36 on average. The matching SMH purchase became $114.86. That half-dollar lead is a useful snapshot, but it is not the whole result.
The bars are averages of separate investments, not the return of one portfolio you could have bought. A source item can name several stocks; each stock counts once in that item. Another post or video about the same stock creates another observation.
| Holding period | Stock views | SPY | QQQ | SMH |
|---|---|---|---|---|
| 7 days 14,598 observations | +0.74% | +0.18% | +0.25% | +0.80% |
| 30 days 13,791 observations | +2.43% | +0.88% | +1.10% | +2.75% |
| 90 days 9,848 observations | +15.36% | +4.57% | +6.47% | +14.86% |
| 180 days 5,372 observations | +38.32% | +10.51% | +15.12% | +35.59% |
| To Nov. 6 14,727 observations | −14.92% | +0.58% | −3.55% | −8.88% |
The average stock view lagged SMH slightly after 7 and 30 days, then led it after 90 and 180 days. These rows contain different sets of views. Only older ideas have had time to reach 180 days, so the larger six-month return is not the growth of the 90-day group. The to-November row also mixes holding periods: it shows where eligible views stood at that price snapshot, not a fixed-duration test.
A few winners lifted the average
The average stock view edged past SMH at 90 days. Yet only 41.4% of individual observations beat SMH. Against QQQ the hit rate was 48.8%; against SPY it was 51.7%. A few large gains carried the average.
The chip-focused part of the sample was stronger: 3,968 completed observations tied to AI compute, custom chips, chip manufacturing and Micron averaged +19.89%, versus +15.13% for SMH on matching dates. Even there, fewer than half—48.4%—beat SMH individually. Picking one of the winners still mattered.
The benchmark changes how a call looks
Consider three 2026 public views that we reviewed against their original sources. The table measures what a new reader could have earned from the next shared close, not what the authors earned in their own accounts.
| Public view | Stock | SPY | QQQ | SMH |
|---|---|---|---|---|
| Sandisk, Jan. 7 | +101.0% | −4.4% | −5.7% | +3.9% |
| AXT, Jan. 2 | +151.9% | −4.2% | −4.8% | +4.9% |
| Oracle, Jan. 2 | −24.4% | −4.2% | −4.8% | +4.9% |
Sandisk and AXT cleared every hurdle by a wide margin. Both posts built on ideas their authors had discussed in 2025; these January entries are opportunities for a new reader, not claims about who discovered the stocks first. Oracle went the other way. Ray Wang expressed a positive, long-term view of its AI-cloud prospects in a CNBC interview. Buying after that video would have lagged all three ETFs over the following 90 days. He did not issue a time-specific buy order.
These are examples, not the three biggest or smallest calls in the archive. They show why “beat the S&P 500” tells only part of the story—and why the publication date matters.
Repeated calls make the margin less convincing
Our 90-day set contains 9,848 observations across 175 stocks. Nvidia appears 1,085 times and Micron 838 times. Repetition can be useful when a thesis develops, but it also gives heavily discussed stocks more weight.
As a sensitivity check, we kept only the first eligible 2026 observation for each stored speaker–stock pair. That left 3,992 completed 90-day observations. Their average stock return was +16.53%; matching SMH returned +18.07%. At 180 days, the first-view group returned +36.11% versus +37.80% for SMH across 2,596 observations. This check uses the names stored in Buzzberg and is not a perfect person-level deduplication. It does show that the small leads over SMH in the main averages are fragile.
Which benchmark should you use?
Use SPY to ask whether the idea beat the broad market. Use QQQ when the realistic alternative was a basket of large Nasdaq companies. For semiconductor calls, add SMH: in this 2026 sample it was the harder hurdle, and the average 90-day lead over it disappeared under a simple repeat-call check. For cloud or software ideas, SMH measures a different business, so QQQ is often the more relevant sector-aware comparison.
Before calling a stock pick a winner, ask which fund you would actually have bought instead. With Buzzberg MCP, you can open the sources behind a stock view and see whether the author had a company-specific argument or described a sector that an ETF already captured.
How we measured it
We used Buzzberg's tracked public X, YouTube, Reddit and newsletter items published from January 1 through November 5, 2026. The cohort contains recorded long views on USD-priced stocks in AI-related infrastructure, chip, cloud, memory, networking and power categories whose extracted thesis explicitly mentions AI or a related technology. It excludes news feeds, shorts, neutral mentions and many AI-adjacent software ideas. It does not represent every AI post on the internet or every buy instruction.
For each stock, SPY, QQQ and SMH, entry is the first shared daily close strictly after the publication date in New York. Exit is the first shared close on or after 7, 30, 90 or 180 calendar days; the current snapshot ends November 6. Results are equal-weight price changes before dividends, trading costs and taxes. A stock can appear again when a later source item discusses it. We count it once per item.