What is the average overlap between AI ETFs and the S&P 500?

The typical AI ETF shares approximately 72% of its top holdings with a plain S&P 500 index fund. You are paying an additional 0.57% in average annual fees for what you already own. Over 10 years on $100,000 invested, that fee difference costs roughly $8,000-$9,000 in lost returns through compounding.

Which AI ETFs have the highest S&P 500 overlap?

AIQ and CHAT have 78-82% overlap with SPY and charge 0.68-0.75%. Their top holdings are Microsoft, NVIDIA, and Alphabet—stocks you already own if you have an S&P 500 index fund. These ETFs are repackaging what you already have for a premium price.

Which AI ETFs have low overlap with SPY?

BOTZ and ROBT have lower overlap (38-45%) because they hold specialized robotics and automation companies that don't dominate the S&P 500. SMH focuses on semiconductor companies and has a 0.35% expense ratio. These ETFs give you exposure to corners of the market your index fund misses.

What is the fee impact of owning a high-overlap AI ETF?

On $10,000 invested, AIQ costs $68 per year versus $3 for SPY. On $100,000, that is $680 versus $30, or a $650 annual difference. Over 10 years at 10% annual returns with compounding, the cumulative cost of this fee difference is roughly $8,000. Fees compound against you the same way returns compound for you.

When does an AI ETF make sense to own?

Consider AI ETFs with low SPY overlap (below 50%) that hold specialized companies in semiconductors, robotics, or AI infrastructure too small for the S&P 500. Avoid ETFs with high SPY overlap (above 65%) whose top holdings are already in your index fund. The decision framework: does this give me exposure I don't already have?

What fee and overlap thresholds should I use?

If an AI ETF shares more than 50% of its value with your existing index fund, it is not adding differentiated exposure. Below 50% overlap, you are getting access to less-obvious companies. Look for expense ratios below 0.50%—above that, the ETF needs to outperform your index fund every year to justify the cost.

Product Deconstruction

The ETF Industrial Complex Wants Your AI Money

There are now over 40 AI-themed ETFs. Most charge high fees to own the same stocks you already hold in your index fund. This essay names names, shows the overlap, and tells you which ones are worth owning.

The Gold Rush in Packaging

Wall Street's Favorite Game

Every time a technology trend captures public attention, Wall Street launches themed ETFs. Blockchain ETFs arrived in 2018. Cannabis ETFs in 2019. Metaverse ETFs in 2021. AI ETFs started appearing in 2023 and by 2026 there are over 40 of them.

The pitch is always the same: "This is the future, and we've done the work of selecting the best companies for you." The fee for this service ranges from 0.35% to 0.75% per year. That's 7 to 15 times what a broad market index fund charges.

The problem is what's inside. When you open the hood on most AI ETFs, you find the same stocks you already own in your S&P 500 index fund. You are paying a premium to get a different label on an overlapping portfolio.

72%

Average overlap between AI ETFs and the S&P 500 top 20 holdings

The typical AI ETF shares nearly three-quarters of its top holdings with a plain S&P 500 index fund. You're paying 0.60% for what you could get at 0.03%. The AI label costs 0.57% per year in extra fees for largely the same exposure.

Inside the Box

What AI ETFs Actually Hold

Here are eight popular AI ETFs, ranked by assets under management. Look at the expense ratioThe annual fee a fund charges as a percentage of your investment. 0.75% = $7.50 per $1,000. and the overlap with SPY (the S&P 500 ETF). High overlap means you're paying AI fees for index exposure.

AI ETF Comparison

Expense ratio, AUM, and holdings overlap with SPY (S&P 500 ETF)

ETF	Expense Ratio	AUM	SPY Overlap	Top 3 Holdings
BOTZ	0.68%	$2.8B	45%	NVIDIA, Intuitive Surgical, Keyence
AIQ	0.68%	$2.5B	82%	Microsoft, NVIDIA, Alphabet
ROBT	0.65%	$410M	38%	Brooks Automation, Ambarella, UiPath
IRBO	0.47%	$580M	55%	Palantir, CrowdStrike, Snowflake
ARKQ	0.75%	$1.1B	70%	Tesla, Kratos, UiPath
CHAT	0.75%	$120M	78%	Microsoft, Alphabet, Meta
QTUM	0.40%	$230M	42%	D-Wave, IonQ, Honeywell
SMH	0.35%	$28B	60%	NVIDIA, TSMC, Broadcom

AIQ and CHAT charge 0.68-0.75% and have 78-82% overlap with SPY. Their top holdings are Microsoft, NVIDIA, and Alphabet. You already own those stocks if you have an S&P 500 index fund. These ETFs are repackaging what you already have.

BOTZ and ROBT are more interesting. Their overlap with SPY is lower (38-45%) because they hold specialized robotics and automation companies that don't dominate the S&P 500. If you want exposure to industrial AI and robotics, these give you something your index fund doesn't.

SMH is the cheapest at 0.35% and focuses on semiconductor companies. It's less an AI ETF and more a chip-industry ETF, but since chips are the infrastructure layer of AI, the exposure is real and differentiated.

The Overlap Problem

You're Paying Twice for the Same Stocks

If you own SPY and you buy AIQ, you now own two positions in Microsoft, NVIDIA, and Alphabet. Your total portfolio is more concentrated in those names than you think. And you're paying 0.68% on the AIQ position for the privilege of that duplication.

What You Pay for AI Exposure

Annual cost per $10,000 invested, by approach

SPY (S&P 500)

$3/yr

QQQ (Nasdaq)

$20/yr

SMH (Semis)

$35/yr

BOTZ (Robotics)

$68/yr

AIQ (AI Broad)

$68/yr

ARKQ (Innovation)

$75/yr

On $10,000, the difference between SPY and ARKQ is $72 per year. On $100,000, it's $720. Over 10 years with compounding, the fee difference on a $100,000 position is roughly $8,000-$9,000 in lost returns. That's the price of the AI label.

Fees compound against you the same way returns compound for you. A 0.72% annual fee difference costs you roughly 7% of your total return over a decade. That's money that goes to the ETF sponsor, not to you.

The Marketing Playbook

How Wall Street Sells AI Exposure

ETF sponsors use three techniques to make their products feel essential. Recognizing them saves you money.

Theme Labeling

Take a basket of large-cap tech stocks and call it an "AI ETF." Microsoft and Alphabet are already in your index fund, but wrapped in an AI label they feel like a targeted bet. The label creates the illusion of specialization. The holdings reveal generic large-cap tech.

Backtested Performance

Marketing materials show how the ETF "would have" performed over the last 3-5 years. Since AI stocks have outperformed, every backtest looks great. But a backtest tells you what already happened. It says nothing about the next 5 years. If AI stocks mean-revert, the backtest is irrelevant.

Complexity as Value

Some AI ETFs use "proprietary AI-driven selection algorithms" to pick stocks. This sounds sophisticated. In practice, many of these algorithms select the same obvious companies a human would pick in 10 minutes. The complexity justifies the fee without improving the outcome.

The Decision Framework

When an AI ETF Makes Sense

AI ETFs aren't all bad. Some give you exposure to corners of the market your index fund misses. The key is whether the ETF adds something you don't already have.

Worth Considering

ETFs with low SPY overlap (below 50%) that hold specialized companies: semiconductor firms, industrial robotics, edge computing, or AI infrastructure players too small for the S&P 500. BOTZ, ROBT, and SMH fall in this category. They give you real diversification at a reasonable premium.

Skip It

ETFs with high SPY overlap (above 65%) whose top holdings are Microsoft, NVIDIA, Alphabet, and Meta. You already own these in your index fund. Paying 0.68% for a different label on the same stocks is a transfer of wealth from your portfolio to the ETF sponsor. AIQ, CHAT, and most broad "AI" ETFs fall here.

50%

Overlap threshold

If an AI ETF shares more than half its value with your existing index fund, it's not adding differentiated exposure. Below 50% overlap, you're getting access to companies you'd struggle to pick individually.

0.50%

Fee threshold

Above 0.50% expense ratio, the ETF needs to meaningfully outperform your index fund every year to justify the cost. Most don't. Look for specialized exposure at 0.35-0.50% if you want a thematic tilt without giving away your returns.

0.57%

That's the average fee premium you pay for an AI label on stocks you already own. Over a decade, it costs you roughly $8,000 per $100,000 invested. The AI revolution is real. The ETF marketing is the tax.

How I Built This

ETF data from provider fact sheets, Morningstar, and ETF.com. Holdings overlap calculated using top-20 positions by weight.

Overlap Calculation

Top-20 holdings weighted comparison with SPY

Overlap is measured by the sum of shared holdings' weights. If an AI ETF holds 15% NVIDIA and SPY holds 7% NVIDIA, the overlap on that position is the minimum (7%). Total overlap is the sum of minimums across all shared holdings in the top 20. This method overstates overlap slightly because it ignores the long tail of smaller positions.

Fee Impact Calculation

Compound effect over 10 years at 10% annual return

The $8,000 figure assumes $100,000 invested, 10% annual return, and a 0.72% fee difference compounded over 10 years. The exact number depends on actual returns, which vary. The point is directional: fees compound against you, and the difference between 0.03% and 0.75% is meaningful over time.

ETF Data Freshness

Holdings and AUM as of February 2026

ETF holdings change quarterly. AUM fluctuates daily. The expense ratios are contractual and more stable, but sponsors can and do change them. Check the current fact sheet before buying. The overlap percentages may shift as indices rebalance.

Jesse Walker has been an individual investor for 30 years. Before that, he was a poker professional, which is where he learned that the best decision and the best outcome aren't always the same thing. He writes about financially navigating the uncertainties of AI.