Thematic ETFs: Buyer Beware
Thematic ETFs: Buyer Beware
Thematic ETFs targeting trends (AI, cannabis, blockchain) launch after the trend has peaked, concentrate into small numbers of holdings, and often shut down within years.
Key takeaways
- Thematic ETFs launched in 2023-2024 targeting artificial intelligence are repeating the pattern of 2017-2018 blockchain ETFs
- A 2022 Goldman Sachs study found 35% of thematic ETFs launched between 2015-2020 were liquidated by 2021
- Even surviving thematic ETFs underperform due to high expense ratios (0.6-0.9%) and low trading volume
- The timing dynamic is perverse: when a theme is hot enough to launch an ETF, the early-adopter gains have likely passed
- Thematic exposure is better achieved (if needed) through satellite allocations in broad sector or geographic funds
The closure rate problem
A study by Goldman Sachs analyzing thematic ETFs launched between 2015 and 2020 found that 35% were liquidated by 2021. This is roughly 5 times the closure rate of traditional active funds. Liquidation happens because assets under management fall when performance disappoints, making funds unprofitable to operate.
The pattern is predictable: A theme (blockchain, cannabis, clean energy, AI) becomes culturally hot. Financial companies rush to launch ETFs targeting that theme. Retail investors see headlines and buy. The theme peaks in hype. Early investors (who got in 2-3 years before the ETF) are up significantly. The ETF attracts late money and underperforms relative to expectations. Assets decline, the fund closes, and investors are forced to sell (often at a loss relative to their purchase price).
This pattern repeated with blockchain ETFs (2017-2018 launch, many liquidated 2021-2023), cannabis ETFs (2018-2020 launch, many underperformed or closed), and clean energy ETFs (2019-2021 launch, mixed performance). AI ETFs are launching in 2023-2024, repeating the exact same pattern.
The launch-after-hype timing
There's a cruel timing dynamic with thematic ETFs: they launch after a theme has already generated significant gains. Someone who invested in technology stocks in 2000 (at the internet bubble peak) lost 70% over the next three years. But someone who invested in 2003 (after the bubble burst) compounded at 20% annualized for the next 15 years.
The same applies to thematic trends. Artificial intelligence research has been advancing steadily for decades, but semiconductor and AI platform companies have generated massive returns in 2020-2024. When ETF companies notice this trend and decide to launch an AI ETF (2023-2024), the easy gains have already happened. The theme has become crowded, valuations are stretched, and the opportunity is largely behind.
This is not conspiracy—it's natural market dynamics. ETF companies, following profit incentives, notice popular themes and launch products. But this lag means that thematic ETF launches are often contrarian indicators (the opposite of bullish). When everyone is buying the shiny new AI ETF, sophisticated investors are often trimming exposure.
Concentration and "definition" risk
What counts as an "AI company"? Different AI ETFs have different criteria. One might count any company with a generative AI product, another might count only semiconductor and software companies in the AI value chain. This "definition risk" creates ambiguity.
In practice, many thematic ETFs are highly concentrated. An AI ETF from 2024 might be 30-40% in Nvidia, Microsoft, and a handful of other mega-cap tech companies. This is not diversified thematic exposure; it's a concentrated tech bet.
Compare this to owning VGT (Vanguard Information Technology ETF), which holds all technology stocks (200+ holdings) weighted by market cap. VGT naturally captures AI exposure through Microsoft, Nvidia, Broadcom, and others. VGT costs 0.08% annually. An AI-specific thematic ETF costs 0.60-0.80%, charges you for "thematic curation," and is likely more concentrated.
If you want technology exposure, buy VGT or XLK at lower cost and with broader diversification. If you want "AI exposure," you're implicitly betting that AI companies will outperform the market. History suggests this is a bad bet to make while paying 0.70% in fees.
Expense ratios and value destruction
Thematic ETFs consistently charge 0.40-0.80% in annual expense ratios, roughly 5-10 times more than broad index funds. This fee structure is sustainable only if the thematic fund outperforms the broad market by that margin—a tall order.
The math is brutal. A thematic ETF charging 0.70% must generate 0.70% of annual outperformance just to match a 0.03% index fund. Over 10 years, this is a cumulative 7% underperformance that must be overcome. Most thematic funds don't overcome it.
Liquidity and tracking error
Some thematic ETFs have low trading volume, meaning the bid-ask spread is wide (0.5-1.5% rather than 0.05-0.10% for popular funds). If you buy or sell a thematic ETF, you might lose 1% to the spread immediately, which is catastrophic for a $10,000 investment ($100 loss before any market movement).
Additionally, low-volume thematic ETFs track their underlying holdings with some slippage. A thematic ETF might hold 30-50 stocks, but tracking these with precision is hard when the fund's assets are small and trading costs are high.
The pattern repeats
2017-2018 Blockchain: Multiple blockchain ETFs launched (BLOK, GBTC, and others). Headlines promised 10x returns. By 2022-2023, many had closed or underperformed significantly. Early blockchain investors who bought in 2010-2016 made huge gains. Later investors who bought the 2017-2018 blockchain ETF hype often lost money.
2018-2020 Cannabis: Cannabis legalization was the theme. Pot stock ETFs launched. YOLO and other cannabis ETFs attracted retail hype. Most underperformed due to regulatory issues, poor profitability, and high taxation. An ETF launched in 2019 to capture the "cannabis revolution" would have underperformed.
2023-2024 AI: Generative AI becomes the hottest theme. Nvidia, Microsoft, and other AI beneficiaries have already compounded significantly. ETF companies rush to launch AI-focused products. Retail investors see headlines and buy, attracted by the same narrative that has already priced in substantial gains.
The playbook is identical each cycle.
When thematic exposure might make sense
Very occasionally, thematic exposure can be justified, but only under specific conditions:
You have early exposure (pre-trend awareness): If you recognized AI as important in 2015-2018, early investment in semiconductor and software companies made sense. But if you're reading about AI in 2024 headlines and deciding to buy an AI ETF, you're far too late.
The exposure is 3-5% of your portfolio (satellite): A 5% allocation to a specific theme is small enough that if you're wrong (which is likely), it doesn't derail your portfolio. But this requires true conviction and acceptance of losing the 5%.
You've stress-tested the thesis: Can you articulate, in specific, testable terms, why this theme will outperform the broad market? If your answer is "because everyone is talking about it" or "because growth is likely," you don't have a thesis. You have hype. A real thesis might be: "Long-term semiconductor demand is growing 10%+ annually due to AI data centers and autonomous vehicles, and this will sustain growth for a decade." Even then, this thesis might be wrong or already priced in.
The survivorship bias in media
You hear stories about early bitcoin investors who became millionaires, or early Tesla believers who scored massive gains. You don't hear about the thousands of other thematic bets that failed. This survivorship bias makes thematic investing feel more successful than it is.
A fair comparison would count all thematic bets made (not just successful ones) and measure the average return. When you do this analysis across many themes and many investors, the average thematic investor underperforms the market. The winners are outnumbered by the losers.
What to do instead
If you want exposure to a trending theme (AI, clean energy, genomics) without the pitfalls of thematic ETFs, options include:
Hold the broad sector: Own VGT (technology) or XLV (healthcare) or ICLN (clean energy) to capture the theme without the extreme concentration and high fees of a thematic ETF.
Hold a geographic fund: Emerging markets (VXUS or IEMG) provide exposure to diverse themes including clean energy manufacturing, AI development, and healthcare innovation.
Simply hold VTI and accept natural exposure: VTI naturally contains exposure to all themes through its holdings in technology, healthcare, and industrials. You get some AI exposure from Microsoft and Nvidia, some clean energy exposure through utilities, and some genomics exposure through healthcare holdings. This is more diversified and lower-cost than a thematic bet.
How thematic funds follow boom-bust cycles
Related concepts
Next
Beyond thematic sector picks, some investors are tempted by leveraged and inverse ETFs—instruments designed to amplify returns (3x leverage) or profit from market declines. These sophisticated tools carry hidden risks that destroy wealth more reliably than they create it. The next section explains why.