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First Trust Nasdaq Artificial Intelligence and Robotics ETF (ROBT): How to Invest

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The First Trust Nasdaq Artificial Intelligence and Robotics ETF (ROBT 1.91%) offers a sophisticated way to track AI companies, with an emphasis on fundamental analysis.

It does so through an advanced index methodology designed to target companies that meet specific artificial intelligence and robotics criteria, rather than simply buying the largest names in the space.

However, with this added complexity comes higher costs. ROBT may not be the most beginner-friendly ETF. Here’s what you need to know to decide if the First Trust Nasdaq Artificial Intelligence and Robotics ETF is worth choosing over its AI-focused competitors.

Image source: Getty Images.

Overview

What is First Trust Nasdaq Artificial Intelligence and Robotics ETF?

The First Trust Nasdaq Artificial Intelligence and Robotics ETF is a thematic ETF that tracks the Nasdaq CTA Artificial Intelligence and Robotics index. It is not a mutual fund.

This benchmark takes a more nuanced approach than most AI ETFs by grouping companies into three categories:

  1. Enablers, which develop the hardware, software, and infrastructure that form the building blocks of artificial intelligence.
  2. Engagers, who design, integrate, or deliver AI-driven products and services.
  3. Enhancers, which offer value-added AI capabilities as part of a broader business model, however, AI and robotics are not their primary focus.

Companies are scored across the three categories based on their level of AI involvement, with the top 30 in each category selected. However, the index is not equally split between these groups.

Engagers receive the highest weighting at 60% of the portfolio because they have the most direct AI exposure. Enablers make up 25%, while Enhancers account for15% to provide balance and diversification. Within each group, holdings are equally weighted.

The portfolio is rebalanced quarterly to reset weights and capture relative performance changes, while a semiannual reconstitution ensures the index remains current with evolving AI and robotics developments.

How to invest

How to invest

  1. Open your brokerage app: Log in to your brokerage account where you handle your investments.
  2. Search for the ETF: Enter the ticker or ETF name into the search bar to bring up the ETF’s trading page.
  3. Decide how many shares to buy: Consider your investment goals and how much of your portfolio you want to allocate to this ETF.
  4. Select order type: Choose between a market order to buy at the current price or a limit order to specify the maximum price you’re willing to pay.
  5. Submit your order: Confirm the details and submit your buy order.
  6. Review your purchase: Check your portfolio to ensure your order was filled as expected and adjust your investment strategy accordingly.

Holdings

Holdings

First Trust Nasdaq Artificial Intelligence and Robotics ETF has a heavy U.S. weighting at 64%, followed by Japan at 9.2%, then the U.K., Israel, South Korea, France, and Taiwan.

The fund holds 100 companies, with 50% classified as technology sector, 22% as industrials, and 9% as healthcare. The remaining holdings are primarily spread across the consumer discretionary and communications sectors, with small allocations to financials, consumer staples, and energy.

The First Trust Nasdaq Artificial Intelligence and Robotics ETF’s largest holdings as of late August 2025 are:

  1. Symbotic (SYM 0.29%): 2.92%
  2. Upstart Holdings (UPST -0.34%): 2.28%
  3. AeroVironment (AVAV -1.81%): 2.25%
  4. Ocado Group (OCDO -1.99%): 2.22%
  5. Palantir Technologies (PLTR -1.39%): 2.14%
  6. Synopsys (SNPS 13.35%): 2.07%
  7. Recursion Pharmaceuticals (RXRX 6.72%): 2.00%
  8. Cadence Design Systems (CDNS 4.95%): 1.91%
  9. Gentex (GNTX 1.36%): 1.91%
  10. Ambarella (AMBA -0.28%): 1.85%

The portfolio has a large-cap tilt, with an average market cap of $28 billion. Valuations are elevated, with shares trading around 29x price-to-earnings, 2.75x price to sales, and 17x price to cash flow.

Should I invest?

Should I invest?

Only consider First Trust Nasdaq Artificial Intelligence and Robotics ETF if you specifically believe in its index methodology and the “engagers, enablers, enhancers” classification system, along with the resulting weighting across these groups.

There is no single “right” way to invest in AI. This is simply how ROBT’s benchmark index approaches selection and weighting compared to competing ETFs. It may under or outperform similar funds at various times.

If you appreciate a more complex, rules-based approach, you may find the fund appealing. But if you’re seeking simplicity, this ETF probably isn’t a fit.

Note that the ETF has historically lagged the broader market and has shown greater volatility than diversified index ETFs, like S&P 500 funds. Its relatively narrow portfolio means individual stock positions can have an outsized impact on performance, for better or worse.

Moreover, investing in AI and robotics carries idiosyncratic risk. These companies are often priced for growth, with high valuations that may be vulnerable to pullbacks if earnings don’t keep pace. The sector also tends to lack exposure to defensive, non-cyclical industries, which can leave long-term investors more exposed during market downturns.

Dividends

Does the ETF pay a dividend?

The First Trust Nasdaq Artificial Intelligence and Robotics ETF has a 30-day SEC yield of 0.27% as of August 2025. The ETF pays dividends semiannually in December and June. The yield is low because many AI-focused companies reinvest earnings into growth rather than paying dividends.

Expense ratio

What is the ETF’s expense ratio?

The expense ratio for First Trust Nasdaq Artificial Intelligence and Robotics ETF is 0.65%, or $65 per $10,000 invested annually. This is higher than both sector and broad market ETFs, and even on the pricey side for a thematic ETF, approaching the cost of some actively managed funds due to its more specialized index methodology.


Expense Ratio

A percentage of mutual fund or ETF assets deducted annually to cover management, operational, and administrative costs.

Historical performance

Historical performance

Since its inception, First Trust Nasdaq Artificial Intelligence and Robotics ETF has generally tracked its benchmark, the Nasdaq CTA Artificial Intelligence and Robotics Index, but has delivered slightly lower returns across most periods due to fee drag.

For example, over the past five years, the fund returned 6.4% annually versus 6.9% for the index.

Where the gap really shows is against the broader market: The S&P 500 has compounded at nearly 16% annually over the same period, far ahead of the ETF.

This underperformance highlights two challenges with thematic funds like this: higher volatility and sector concentration.

While the ETF has at times outpaced the S&P 500 over short stretches, it has struggled to keep up over longer horizons, reflecting the risks of a narrower, more specialized portfolio.

ROBT annualized total returns as of July 31, 2025

1-Year

3-Year

5-Year

Net Asset Value

14.38%

9.54%

6.35%

Market Price

14.56%

9.58%

6.37%

Related investing topics

The bottom line

First Trust Nasdaq Artificial Intelligence and Robotics ETF takes a very involved approach to index construction, breaking the AI and robotics universe into three categories and then assigning different portfolio weights to each group.

While this adds a layer of precision that some investors may appreciate, it also introduces complexity that can make the strategy harder to evaluate and follow compared to simpler, market-cap-weighted thematic ETFs.

The 0.65% expense ratio is on the higher side for a passive ETF and approaches the cost of certain actively managed funds in this space, which could make some investors question whether the additional complexity justifies the fee.

Over the long term, higher costs combined with a specialized weighting methodology may influence performance, so this fund may be best-suited for those who specifically want this unique structure rather than a broader, more conventional approach.

FAQ

Investing in First Trust Nasdaq Artificial Intelligence and Robotics ETF FAQ

What is the best way to invest in AI and robotics?

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The best way to invest in AI and robotics depends on your investment style. Some investors are more comfortable with diversified thematic ETFs like the First Trust Nasdaq Artificial Intelligence and Robotics ETF, while others prefer to build their own portfolios of individual stocks.

Is ROBT a good investment?

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First Trust Nasdaq Artificial Intelligence and Robotics ETF may appeal if you like its complex index approach, but its high fees and convoluted weighting can be drawbacks.

What is the best AI and robotics ETF?

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The best AI and robotics ETF varies by investor goals, costs, and desired exposure, so compare options carefully. Some of the top AI and robotics ETFs by market cap include:

  • Global X Robotics & Artificial Intelligence ETF (NASDAQ:BOTZ)
  • Global X Artificial Intelligence & Technology ETF (NASDAQ:AIQ)
  • iShares Future AI & Tech ETF (NYSEARCA:ARTY)
  • Roundhill Generative AI & Technology ETF (NYSEARCA:CHAT)

Tony Dong has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends AeroVironment, Cadence Design Systems, Gentex, Palantir Technologies, Symbotic, Synopsys, and Upstart. The Motley Fool has a disclosure policy.



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Planned artificial intelligence centers strain energy grid – El Paso Inc.

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Planned artificial intelligence centers strain energy grid  El Paso Inc.



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Vikings vs. Falcons props, picks, SportsLine Machine Learning Model AI predictions: Robinson over 65.5 rushing

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Week 2 of Sunday Night Football will see the Minnesota Vikings (1-0) hosting the Atlanta Falcons (0-1). J.J. McCarthy and Michael Penix Jr. will be popular in NFL props, as the two will face off for the first time since squaring off in the 2023 CFP National Title Game. The cast of characters around them has changed since McCarthy and Michigan prevailed over Washington, as the likes of Bijan Robinson, Justin Jefferson, Drake London and T.J. Hockenson now flank the quarterbacks. There are several NFL player props one could target for these star players, or you may find value in going after under-the-radar options.

Tyler Allgeier had 10 carries in Week 1, which were just two fewer than Robinson, with the latter being more involved in the passing game with six receptions. If Allgeier has a similar type of volume going forward, then the over for his rushing yards NFL prop may be one to consider. A strong run game would certainly help out a young quarterback like Penix, so both Allgeier and Robinson have intriguing Sunday Night Football props. Before betting any Falcons vs. Vikings props for Sunday Night Football, you need to see the Vikings vs. Falcons prop predictions powered by SportsLine’s Machine Learning Model AI.

Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop. 

For Falcons vs. Vikings NFL betting on Sunday Night Football, the Machine Learning Model has evaluated the NFL player prop odds and provided Vikings vs. Falcons prop picks. You can only see the Machine Learning Model player prop predictions for Atlanta vs. Minnesota here.

Top NFL player prop bets for Falcons vs. Vikings

After analyzing the Vikings vs. Falcons props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model says Falcons RB Bijan Robinson goes Over 65.5 rushing yards (-114 at FanDuel). Robinson ran for 92 yards and a touchdown in Week 14 of last season versus Minnesota, despite the Vikings having the league’s No. 2 run defense a year ago. After replacing their entire starting defensive line in the offseason, it doesn’t appear the Vikings are as stout on the ground. They allowed 119 rushing yards in Week 1, which is more than they gave up in all but four games a year ago.

Robinson is coming off a season with 1,454 rushing yards, which ranked third in the NFL. He averaged 85.6 yards per game, and not only has he eclipsed 65.5 yards in six of his last seven games, but he’s had at least 90 yards on the ground in those six games. Over Minnesota’s last eight games, including the postseason, six different running backs have gone over 65.5 rushing yards, as the SportsLine Machine Learning Model projects Robinson to have 81.8 yards in a 4.5-star prop pick. See more NFL props here, and new users can also target the FanDuel promo code, which offers new users $300 in bonus bets if their first $5 bet wins:

How to make NFL player prop bets for Minnesota vs. Atlanta

In addition, the SportsLine Machine Learning Model says another star sails past his total and has six additional NFL props that are rated four stars or better. You need to see the Machine Learning Model analysis before making any Falcons vs. Vikings prop bets for Sunday Night Football.

Which Vikings vs. Falcons prop bets should you target for Sunday Night Football? Visit SportsLine now to see the top Falcons vs. Vikings props, all from the SportsLine Machine Learning Model.





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Prediction: This Artificial Intelligence (AI) Stock Will Be Worth $10 Trillion in 5 Years

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Artificial intelligence is set to become a trillion-dollar market in a few years.

Artificial intelligence (AI) has clearly been driving growth for a number of companies over the past few years. The technology promises to change the way many things are done and, as a result, supercharge companies’ businesses and lower costs. Certain players are already winning in this field, either creating AI tools and services or applying such AI to their daily operations.

This has resulted in billions of dollars in revenue for some, as well as increased efficiency and lower costs. Investors have appreciated this, sending many of these AI companies to new highs, with stocks gaining in the triple and quadruple digits over the past few years. And this has also shaken up the rankings of companies by market cap, as AI-focused players have seen their market value take off.

In fact, a couple of months ago, one of these companies reached an enormous market cap milestone — one that no other company had ever reached before. Now, my prediction is that this AI player will continue to head higher and be worth a whopping $10 trillion in five years. Let’s dive into this exciting AI growth story.

Image source: Getty Images.

Driving crucial AI tasks

This company has taken the tech world by storm in recent years, becoming the world’s No. 1 AI chip designer. I’m talking about Nvidia (NVDA 0.43%). Chips are key, as they drive the most crucial of AI tasks, and this tech giant’s graphics processing units (GPUs) — or AI chips — are the most powerful on the planet. And customers aiming to win in AI have taken notice. They’ve scrambled to gain access to as many Nvidia GPUs as possible to run their projects, resulting in enormous revenue growth for Nvidia.

The best illustration of this is to compare Nvidia’s annual revenue of $27 billion just two years ago with the latest full year, during which revenue climbed to more than $130 billion.

Investors have recognized this, with Nvidia stock soaring more than 1,100% over the past three years. This helped the company reach the major market cap milestone of $4 trillion a couple of months ago. It became the first to reach this level, securing its spot as the world’s biggest company. In fact, it’s continued to progress to $4.3 trillion, and giants Microsoft and Apple remain under the $4 trillion mark, at least for now.

NVDA Market Cap Chart

NVDA Market Cap data by YCharts.

Why do I think Nvidia could reach $10 trillion from here? The company predicts that AI infrastructure spending may increase to as much as $4 trillion by the end of the decade. Nvidia, as a supplier of the most sought-after chips and related products, may garner a great deal of this business. In the past, the company has taken about 25% of data center spending — that could imply $1 trillion in revenue for Nvidia. As Nvidia’s revenue has climbed in the past, so has its share price and market value. And that’s likely to happen again.

The path to $10 trillion

Now, let’s consider how Nvidia could make it to the $10 trillion level in five years. To maintain its current price-to-sales ratio of 26, Nvidia would have to generate sales of about $380 billion in 2030. Analysts expect Nvidia to bring in $200 billion in sales this year, implying a compound annual growth rate of about 14% over the coming five years. This is clearly achievable considering Nvidia’s track record of revenue growth, forecasts for AI spending ahead, and leadership position in the market.

Even if Nvidia’s growth slows from current levels — revenue climbed 56% in the latest quarter — and AI spending comes in somewhat lower than today’s projections, Nvidia remains well positioned to meet my market value prediction.

Does this mean anything in particular for you as an investor? As Nvidia grows in market value, it’s a reflection of the company’s strength, but a growing market cap isn’t the reason to buy a particular stock. Instead, look to Nvidia’s revenue patterns, demand for its chips, and innovation plans. These offer us a great reason to get in on this top AI stock.

Adria Cimino has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Apple, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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