By Amy Miller ( September 15, 2025, 23:52 GMT | Insight) — The deep-pocketed tech industry has proven once again that it can block efforts to regulate artificial intelligence, even in California. Even though California legislators approved more than a dozen bills aimed at regulating AI, from chatbot safety, to transparency, to data centers, several proposals attempting to put guardrails around AI died after facing concerted opposition, including the closely watched Automated Decisions Safety Act, which would have set new rules for AI systems that make consequential decisions about individuals.The deep-pocketed tech industry has proven once again that it can block efforts to regulate artificial intelligence, even in California….
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Anthropic CEO sees 3 areas where policymakers can help with AI
Policymakers can make a positive impact on the U.S. artificial intelligence ecosystem by focusing on export controls, basic guardrails and job displacement support, according to Anthropic CEO Dario Amodei.
Speaking at the Anthropic Futures Forum on Monday, Amodei shed light on the approach his company is taking to develop and deploy safe and effective AI solutions, particularly around large language models and agentic AI tools. He offered examples of use cases for emerging AI capabilities, such as in the medical and scientific research arenas, but also acknowledged the risk potential inherent to advanced AI systems.
“I think it’s more the risks where government has a role to play,” he said. “This is the biggest threat and the biggest opportunity for national security that we’ve seen in the last 100 years.”
Amodei further detailed Anthropic’s recent restriction on disseminating its models to Chinese companies or subsidiaries, which amounted to hundreds of millions of dollars in revenue, noting that similar embargos should occur with semiconductor chips to prevent misuse by adversarial actors.
“I think chips are the single ingredient where we kind of most have an advantage. The technology stack for building these is very difficult. We’re being very consistent when we advocate the same thing be done at the chip layer,” Amodei said. “It’s not some attempt to manipulate and order the chip market. We’re doing this at every layer of stack. We think it’s the right thing to do.”
In addition to balanced export controls, Amodei supported government setting rudimentary guardrails on AI, particularly surrounding model training transparency and requirements for companies to conduct basic transparency tests that are publicly available.
He echoed Trump administration officials in prioritizing policy that serves as “a very loose set of requirements, so it doesn’t slow down the innovation and all the benefits.”
But when it comes to mitigating job displacement as a result of AI adoption and creation, Amodei acknowledged that he doesn’t think there is a viable solution to fully cushion AI’s economic impact, but said it is something that needs to be discussed.
“If this is something that’s going to affect 300 million Americans and a bunch of people in other countries as well, people deserve to know that there may be these large job displacement effects,” he said.
Amodei will likely reiterate these suggestions as he and Anthropic leadership, specifically co-founder Jack Clark, head to Capitol Hill to meet with lawmakers as the federal government works to both harness the benefits and tame the risks of AI.
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This Artificial Intelligence (AI) ETF Has Outperformed the Market By 2.4X Since Inception and Only Holds Profitable Companies
For well under $100, you can buy one share of this under-the-radar AI exchange-traded fund (ETF) that looks poised to continue to outperform the market.
For this article, I asked myself: Where would I start investing if I had less than $100 to invest?
Image source: Getty Images.
An AI ETF that’s concentrated and full of leading and profitable companies
This answer to my question popped into my head: I’d want a concentrated exchange-traded fund (ETF) focused on leading and profitable companies heavily involved in artificial intelligence (AI), but with enough differences among themselves.
Why an ETF? Because I’d not want to put all my (investing) eggs in one basket.
Why AI? Because it’s poised to be the biggest secular trend in many decades or even generations.
Why concentrated? Because I believe if investors are going to buy a very diversified ETF, they might as well buy the entire market, so to speak, and buy an S&P 500 index ETF. Indeed, buying an S&P 500 index fund is a good idea for many investors, and recommended by investing legend Warren Buffett. That said, over the long run, I think an AI ETF full of only leading and profitable companies will beat the S&P 500 index.
Roundhill Magnificent Seven ETF (MAGS): Overview
And bingo! There is such an ETF — the Roundhill Magnificent Seven ETF (MAGS 1.92%). It has seven holdings — the so-called “Magnificent Seven” stocks: Alphabet (GOOG 4.38%) (GOOGL 4.53%), Amazon (AMZN 1.42%), Apple (AAPL 1.06%), Meta Platforms (META 1.18%), Microsoft (MSFT 1.01%), Nvidia (NVDA -0.10%), and Tesla (TSLA 3.54%). This ETF closed at $62.93 per share on Friday, Sept. 12.
These megacap stocks (stocks with market caps over $200 billion) were given the Magnificent Seven name a couple of years ago by a Wall Street analyst due to their strong growth and large influence on the overall market. The name comes from the title of a 1960 Western film.
Two other main traits I like about this ETF:
- Its expense ratio is reasonable at 0.29%.
- It provides equal-weight exposure to the seven stocks. At each quarterly rebalancing, the stocks will be reset to an equal weighting of about 14.28% (100% divided by 7).
Since its inception in April 2023 (almost 2.5 years), the Roundhill Magnificent Seven ETF has returned 160% — 2.4 times the S&P 500’s 65.9% return.
Roundhill Magnificent Seven ETF (MAGS): All stock holdings
Stocks are listed in order of current weight in portfolio. Keep in mind the ETF is rebalanced quarterly to make stocks equally weighted.
|
Holding No. |
Company |
Market Cap |
Wall Street’s Projected Annualized EPS Growth Over Next 5 Years |
Weight (% of Portfolio) |
1 Year/ 10-Year Returns |
|---|---|---|---|---|---|
|
1 |
Alphabet | $2.9 trillion | 14.7% | 17.72% | 55.9% / 677% |
|
2 |
Nvidia | $4.3 trillion | 34.9% | 15.00% | 49.3% / 32,210% |
|
3 |
Apple | $3.5 trillion | 8.8% | 14.13% | 5.6% / 812% |
|
4 |
Tesla | $1.3 trillion | 13.4% | 13.81% | 72.3% / 2,270% |
|
5 |
Amazon | $2.4 trillion | 18.6% | 13.30% | 22% / 762% |
| 6 | Meta Platforms | $1.9 trillion | 12.9% | 13.16% | 44.3% / 725% |
| 7 | Microsoft | $3.8 trillion | 16.6% | 12.76% | 20.3% / 1,250% |
|
Overall ETF |
N/A |
Total net assets of $2.86 billion |
N/A |
100% |
40.5% / N/A |
|
N/A |
S&P 500 |
N/A |
N/A |
N/A |
19.2% / 300% |
Data sources: Roundhill Magnificent Seven ETF, finviz.com, and YCharts. EPS = earnings per share. Data as of Sept. 12, 2025.
All these companies are profitable leaders in their core markets, and heavily involved in AI. Nvidia produces AI tech that enables others to use AI, while the other companies mainly use AI to improve their existing products and develop new ones.
Alphabet’s Google is the world leader in internet search. Its cloud computing business is No. 3 in the world, behind Amazon Web Services (AWS) and Microsoft Azure. The company also has other businesses, notably its driverless vehicle subsidiary, Waymo. (You can read here why I believe Nvidia is the best driverless vehicle stock.)
Nvidia is often described as the world’s leading maker of AI chips — and that it is. But it’s much more. It’s the world leader in supplying technology infrastructure for enabling AI. It’s also the global leader in graphics processing units (GPUs) for computer gaming.
Apple’s iPhone holds the No. 2 spot in the global smartphone market, behind Samsung. However, it dominates the U.S. market. The company’s services business is attractive, as it consists of recurring revenue and has been steadily growing.
Amazon operates the world’s No. 1 e-commerce business and the world’s No. 1 cloud computing business. It also has many other businesses, notably its Fresh and Amazon Prime Now (Whole Foods) grocery delivery operations.
Meta Platforms operates the world’s leading social media site, Facebook, as well as Instagram, Threads, and messaging app WhatsApp.
Microsoft’s Word has long been the world’s leading word processing software. Word is part of Microsoft Office, a suite of popular software for personal computers (PCs). Its Azure is the world’s second-largest cloud computing business.
Tesla remains the No. 1 electric vehicle (EV) maker, by far, in the U.S. despite struggling recently. In the first half of 2025, China’s BYD surpassed Tesla as the world’s leader in all-electric vehicles by number of units sold. CEO Elon Musk touts that the company’s robotaxi and Optimus humanoid robot businesses will eventually be larger than its EV sales business.
In short, the Roundhill Magnificent Seven ETF is poised to continue to benefit from the growth of artificial intelligence. Technically, it doesn’t have a long-term history. But if it had existed many years ago, it’s easy to tell that its long-term performance would be very strong because the long-term performances of all its holdings have been anywhere from great to spectacular.
Beth McKenna has positions in Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Apple, Meta Platforms, Microsoft, Nvidia, and Tesla. The Motley Fool recommends BYD Company and 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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Artificial intelligence has some excited and others scared, as the rapidly evolving technology impacts the job market.
Lucas Shriver is working hard at LEMA in St. Paul. A solar-powered battery station can now be used as a power source in a desert. It’s a project and a job that’s been a long time coming.
“I think I was about 7 years old when I built a tree house by myself,” Shriver said.
He earned his engineering degree from the University of St. Thomas in June. As a full-time employee, he is one of the lucky ones.
“In my own searching for jobs and my friends, the job market right now is quite difficult, and it does seem like people are looking for someone with five years of experience,” Shriver said.
His professor, John Abraham, agrees.
“The jobs at the bottom rung of a ladder for people to climb up to a corporation. Those are going away in the last two years,” Abraham said. “There’s 35% fewer entry-level, you’re a recent college graduate and you’re looking for a job, you’re up a creek, you’re up a creek.”
Federal data suggests three fields that will feel potential cuts because of AI: Insurance adjusting, credit analysis and paralegals. The data also suggests growth could come in the software, personal finance and engineering fields.
For job seekers of any age or field, Abraham suggests learning how to use artificial intelligence.
“This is a tool that increases effectiveness so much, you just have to know it if you’re going to compete,” he said.
And Shriver has the job to prove it.
“I have no idea where this is going, but as for today, I am gonna use AI,” he said.
Abraham says jobs with empathy, like counseling and health care may be safer from AI; he also says the trades will likely still be in demand.
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