AI Insights
Google Gemini will now learn from your chats—unless you tell it not to

As Gemini is increasingly woven into the fabric of Google, the way the chatbot accesses and interacts with your data is in a constant state of flux. Today, Google is announcing several big changes to how its AI adapts to you, giving it the ability to remember more details about your chats for improved answers. If that’s a concern, Google also has a new temporary chat option that won’t affect the way Gemini thinks about you.
You might recall several months back when Google added a “personalization” option to the Gemini model selector. This mode leaned on your Google search history to customize responses, a feature that did not seem to appeal to many Gemini users. Google later dropped that mode, but a new attempt at customization is now rolling out. Gemini is getting an option called Personal Context. When enabled, the chatbot will remember details about your past conversations, adapting its replies without being specifically prompted.
Google claims Personal Context will produce more relevant responses, particularly when you ask the chatbot to make recommendations. This is separate from the saved instructions feature, which allows you to provide explicit instructions for Gemini to be used in crafting outputs. This does have the potential to make Gemini feel more engaging, but that’s not always a good thing. AI chatbots that get too friendly with the user can reinforce misconceptions and lead to delusional thinking, something we’ve seen distressingly often with AI models.
To start, this feature will be available with the Gemini 2.5 Pro model, but you won’t get customization in the Eurpean Union,the UK, or Switzerland. It’s also limited to users over the age of 18. Google says it will eventually release this feature in additional regions and with support for the more efficient Gemini 2.5 Flash model. You can turn Personal Context on and off at will from the main settings page.
AI Insights
Commanders vs. Packers props, SportsLine Machine Learning Model AI picks, bets: Jordan Love Over 223.5 yards

The NFL Week 2 schedule gets underway with a Thursday Night Football matchup between NFC playoff teams from a year ago. The Washington Commanders battle the Green Bay Packers beginning at 8:15 p.m. ET from Lambeau Field. Second-year quarterback Jayden Daniels led the Commanders to a 21-6 opening-day win over the New York Giants, completing 19 of 30 passes for 233 yards and one touchdown. Jordan Love, meanwhile, helped propel the Packers to a dominating 27-13 win over the Detroit Lions in Week 1. He completed 16 of 22 passes for 188 yards and two touchdowns.
NFL prop bettors will likely target the two young quarterbacks with NFL prop picks, in addition to proven playmakers like Deebo Samuel, Romeo Doubs and Zach Ertz. Green Bay’s Jayden Reed has been dealing with a foot injury, but still managed to haul in a touchdown pass in the opener, while Austin Ekeler (shoulder) does not carry an injury designation for TNF. The Packers enter as a 3-point favorite with Green Bay at -172 on the money line, while the over/under is 49 points. Before betting any Commanders vs. Packers props for Thursday Night Football, you need to see the Commanders vs. Packers 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 Packers vs. Commanders NFL betting on Monday Night Football, the Machine Learning Model has evaluated the NFL player prop odds and provided Commanders vs. Packers prop picks. You can only see the Machine Learning Model player prop predictions for Washington vs. Green Bay here.
Top NFL player prop bets for Commanders vs. Packers
After analyzing the Commanders vs. Packers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model says Packers quarterback Love goes Over 223.5 passing yards (-112 at FanDuel). Love passed for 224 or more yards in eight games a year ago, despite an injury-filled season. In 15 regular-season games in 2024, he completed 63.1% of his passes for 3,389 yards and 25 touchdowns with 11 interceptions. Additionally, Washington allowed an average of 240.3 passing yards per game on the road last season.
In a 30-13 win over the Seattle Seahawks on Dec. 15, he completed 20 of 27 passes for 229 yards and two touchdowns. Love completed 21 of 28 passes for 274 yards and two scores in a 30-17 victory over the Miami Dolphins on Nov. 28. The model projects Love to pass for 259.5 yards, giving this prop bet a 4.5 rating out of 5. 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 Washington vs. Green Bay
In addition, the SportsLine Machine Learning Model says another star sails past his total and has nine additional NFL props that are rated four stars or better. You need to see the Machine Learning Model analysis before making any Commanders vs. Packers prop bets for Thursday Night Football.
Which Commanders vs. Packers prop bets should you target for Thursday Night Football? Visit SportsLine now to see the top Commanders vs. Packers props, all from the SportsLine Machine Learning Model.
AI Insights
Adobe Says Its AI Sales Are Coming in Strong. But Will It Lift the Stock?

Adobe (ADBE) just reported record quarterly revenue driven by artificial intelligence gains. Will it revive confidence in the stock?
The creative software giant late Thursday posted adjusted earnings per share of $5.31 on revenue that jumped 11% year-over-year to a record $5.99 billion in the fiscal third quarter, above analysts’ estimates compiled by Visible Alpha, as AI revenues topped company targets.
CEO Shantanu Narayen said that with the third-quarter’s revenue driven by AI, Adobe has already surpassed its “AI-first” revenue goals for the year, leading the company to boost its outlook. The company said it now anticipates full-year adjusted earnings of $20.80 to $20.85 per share and revenue of $23.65 billion to $23.7 billion, up from adjusted earnings of $20.50 to $20.70 on revenue of $23.50 billion to $23.6 billion previously.
Shares of Adobe were recently rising in late trading. But they’ve had a tough year so far, with the stock down more than 20% for 2025 through Thursday’s close amid worries about the company’s AI progress and growing competition.
Wall Street is optimistic. The shares finished Thursday a bit below $351, and the mean price target as tracked by Visible Alpha, above $461, represents a more than 30% premium. Most of the analysts tracking the stock have “buy” ratings.
But even that target represents a degree of caution in the context of recent highs. The shares were above $600 in February 2024.
AI Insights
First Trust Nasdaq Artificial Intelligence and Robotics ETF (ROBT): How to Invest

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:
- Enablers, which develop the hardware, software, and infrastructure that form the building blocks of artificial intelligence.
- Engagers, who design, integrate, or deliver AI-driven products and services.
- 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
- Open your brokerage app: Log in to your brokerage account where you handle your investments.
- Search for the ETF: Enter the ticker or ETF name into the search bar to bring up the ETF’s trading page.
- Decide how many shares to buy: Consider your investment goals and how much of your portfolio you want to allocate to this ETF.
- 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.
- Submit your order: Confirm the details and submit your buy order.
- 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:
- Symbotic (SYM 0.29%): 2.92%
- Upstart Holdings (UPST -0.34%): 2.28%
- AeroVironment (AVAV -1.81%): 2.25%
- Ocado Group (OCDO -1.99%): 2.22%
- Palantir Technologies (PLTR -1.39%): 2.14%
- Synopsys (SNPS 13.35%): 2.07%
- Recursion Pharmaceuticals (RXRX 6.72%): 2.00%
- Cadence Design Systems (CDNS 4.95%): 1.91%
- Gentex (GNTX 1.36%): 1.91%
- 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.
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.
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?
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?
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?
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)
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