While juggling the stream of commitments at work, home, school and beyond, you’ve probably thought: I wish I could clone myself. It may sound like something straight out of a science fiction novel, but it’s easy to daydream about all the ways a second “you” would help free up some of your precious time.

Entrepreneur Kareen Walsh has found a way to make this fantasy a reality—with help from artificial intelligence. In fall 2024, Walsh released Hey Kareen®, an AI-powered mobile app that allows her business coaching clients to tap into her expertise anytime, anywhere, even when she’s busy.

“Creating an AI clone of my business coaching methods and content has been so freeing,” she says. “I have made it possible for my community to have me in their pocket, providing on-demand guidance anytime they need it.”

Coaching others to success

After rising through the ranks at financial services technology firms in her 20s, Walsh decided to strike out on her own and launch a consultancy. “I worked for different companies helping them deliver complex tech platforms and bringing agile practices,” she says.

Over the last decade, she’s grown her company, Revampologist, to become a seven-figure business with a team of consultants. During that time, she also discovered her true passion: coaching and guiding others. “I feel like it’s my calling,” she says. “I feel like I was meant to be a conduit to help other people achieve what they want out of life and business.”

More specifically, she’s focused most of her coaching work on entrepreneurs—people who’ve willingly chosen to take risks, follow their passions and build something new. Walsh can help founders crystallize their visions, serve as a sounding board, offer support during crisis moments and more. “When I get those aha moments while working with my clients and helping them discover why they’ve been blocked or why something’s not working or even how to move forward to the next thing, it is just life-giving—I could do that all day,” Walsh says.

Scaling the business with AI

Walsh gets to know most of her clients through initial two-day immersive sessions. From there, she offers ongoing coaching and support via phone, email or video chats. When Walsh started thinking about how best to scale her coaching practice, she realized her time was the biggest factor limiting her business’s growth. She knew she didn’t want to work more hours or extend her capacity. And while she briefly considered hiring other coaches, she ultimately decided that clients wanted to work with her—not someone she’d trained to be like her.

Faced with this conundrum, she relied on her deep background in technology to provide an answer. Working with a team of experts, she bootstrapped a project that leveraged two existing software-as-a-service platforms, along with her own “intellectual property,” to create an AI clone of herself.

Roughly six months later, Hey Kareen® was available for download from the Apple Store and Google Play. The app includes daily journal prompts for entrepreneurs, workbooks, podcast episodes, resources, articles and videos. Premium subscribers can also submit questions and get real-time answers from Walsh’s AI clone.

The app’s answers are surprisingly accurate. “I’ve had friends test it for me,” she says. “They’d ask me the questions directly, and I’d answer them in a text message. Then, they would go into the app and ask my AI the questions. They’re like, ‘Oh my gosh, it sounds just like you; she said almost the exact same words you said.’”

Accessibility and building a legacy

The first time Walsh tested the app herself, happy tears filled her eyes—for two reasons. First, her clients can now access her acumen and knowledge whenever they need it. Second, she realized the app is her legacy. “[The AI clone] can go on and keep doing this way past the time I’m even interested in doing it anymore,” she says. “I’m not the one fully responsible anymore, feeling like I’m leaving anything on the table. It’s all right there, forever.”

More broadly, she believes the app is an example of what happens when business leaders and entrepreneurs embrace technology, rather than fear it. “It’s really important to understand how to leverage the different platforms coming up and also take advantage of the efficiencies they can create for you,” she says. “Efficiency with our time is so critical. It’s what’s required so you can spend the time on the things that light you up—that’s the freedom that AI has given me.” 

Discover more by subscribing to SUCCESS+ to read the print issue in its entirety and so much more.

Photo by Kaitlyn Casso

On Monday, chipmaker Advanced Micro Devices (AMD 23.61%) announced a huge artificial intelligence (AI) strategic partnership with OpenAI, the AI model developer best known for its ChatGPT chatbot. Not only did this news send shares of AMD up a whopping 23.7%, but it also gave a boost to many other AI stocks and the market in general.

AMD’s news came exactly two weeks after its rival Nvidia (NVDA -1.10%), whose graphics processing units (GPUs) dominate the AI chip market, announced a massive deal with OpenAI.

Advanced Micro Devices-OpenAI strategic partnership

The AMD-OpenAI strategic partnership involves AMD supplying 6 gigawatts of its Instinct series GPUs to power OpenAI’s next-generation AI infrastructure. The first 1 gigawatt deployment of AMD Instinct MI450 GPUs is set to begin in the second half of 2026. That’s the same time frame involved in the Nvidia-OpenAI deal.

Moreover — and this is big for AMD — “AMD has issued OpenAI a warrant for up to 160 million shares of AMD common stock, structured to vest as specific milestones are achieved,” according to the press release. AMD has a total of about 1.62 billion shares outstanding, so 160 million shares is about 10% of total shares.

For context, before the deal was announced, AMD had a market cap of about $267 billion. Ten percent of that is $26.7 billion.

Putting 6 gigawatts in context

Six gigawatts equates to a ton of computing power. Here are a couple of stats to put 6 gigawatts of power in context:

• New York City’s average power demand is about 6.5 gigawatts, and its peak power demand in the summer is roughly 10 to 11 gigawatts.
• Six large-scale nuclear reactors have a power output of about 6 gigawatts.

Recap of the Nvidia-OpenAI AI deal

On Sept. 27, Nvidia announced its massive deal with OpenAI. The highlights of this strategic partnership:

• The companies plan to deploy at least 10 gigawatts of Nvidia systems for OpenAI’s next-generation AI infrastructure.
• The announcement stated that the systems will be used to “train and run [OpenAI’s] next generation of models on the path to deploying superintelligence.” [Emphasis mine.]
• The first phase is targeted to come online in the second half of 2026 using the Nvidia Vera Rubin platform.
• Nvidia plans to invest up to $100 billion in OpenAI as the new Nvidia systems are deployed.

What are the broader implications for the AI space?

This seems like a win-win deal for both AMD and OpenAI. OpenAI secures a large supply of AI-enabling GPUs over multiple years. This is no small thing, as GPUs are in great demand, so supply has been tight. That’s especially true of Nvidia’s GPUs, but no doubt, also true to some extent for AMD.

On AMD’s part, it secures a huge multiyear customer for its GPUs, and it is poised to get a hefty inflow of cash as OpenAI buys up to 10% of AMD’s shares. The partnership “is expected to deliver tens of billions of dollars in revenue for AMD,” CFO Jean Hu said in the release. Moreover, it’s “expected to be highly accretive to AMD’s non-GAAP [generally accepted accounting principles] earnings per share, ” she added.

Taken together with the recent Nvidia-OpenAI humongous AI deal and other big deals in the space, there are positive implications for the broader AI market.

The main implication, in my opinion, is that these massive AI chip and infrastructure deals should accelerate the race to move beyond generative AI to achieve artificial general intelligence (AGI) and then artificial superintelligence (ASI), as I wrote about after the Nvidia-OpenAI deal was announced. Nvidia and AMD should be two of the big beneficiaries of this race, as companies rush to buy even more of their AI-enabling GPUs.

Beth McKenna has positions in Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices and Nvidia. The Motley Fool has a disclosure policy.

For the better part of the last three years, nothing has captivated the attention and capital of investors quite like artificial intelligence (AI). The seemingly limitless possibilities of empowering software and systems with AI can be a game-changer for most industries around the globe. It’s why PwC pegged this global addressable opportunity at a jaw-dropping $15.7 trillion by 2030 in Sizing the Prize.

While there’s no denying that investor hype surrounding the potential for AI has sent dozens of stocks soaring, not everyone on Wall Street shares in this optimism.

In particular, the bar has been set especially low for two of Wall Street’s trillion-dollar AI stocks. Keep in mind, only 10 publicly traded companies on U.S. exchanges have reached the trillion-dollar valuation mark, and not all of these companies are focused on artificial intelligence.

Based on the price target prognostications of select Wall Street analysts, the following two trillion-dollar AI stocks can plunge by up to 95% over the next year.

Nvidia: Implied downside of 44%

The first trillion-dollar AI stock you might be shocked to see among possible plunge candidates is the world’s largest publicly traded company, Nvidia (NVDA -2.62%).

Bullishness on Wall Street for Nvidia is nearly universal. Out of the 65 analysts who’ve weighed in on the company, a combined 59 have it rated the equivalent of a buy or strong buy, as of September 2025, with another five chiming in with the equivalent of a hold rating.

The reason for this optimism has to do with Nvidia dominating the AI-graphics processing unit (GPU) space. It began with the Hopper (H100) and has continued with the next-gen Blackwell and now Blackwell Ultra GPUs. No external chip companies are remotely close to matching the compute capabilities of Nvidia’s AI hardware, which has led to a sizable backlog and enviable AI-GPU pricing power.

Nevertheless, Seaport Global analyst Jay Goldberg stands out as Wall Street’s lone wolf when it comes to Nvidia. He has a sell rating on the company with a price target of just $100, which would imply downside of up to 44%, if accurate.

Goldberg had a laundry list of warnings in his latest research note that maintained his and his firm’s $100 price target, including:

• Concerns about a sequential quarterly slowdown in data center sales growth.
• Unjustified optimism surrounding agentic AI, which has a rather small commercial market at the moment.
• Nvidia’s China exposure, with delays in shipments of AI chips to the world’s No. 2 economy giving external competitors in China the opportunity to gain ground.

But in my opinion, Goldberg might be missing the two biggest threats to Nvidia stock.

First, we haven’t seen a next-big-thing investment trend avoid an eventual early stage bubble-bursting event in more than 30 years. Investors consistently overestimate the early stage adoption and/or utility of game-changing technologies, which leads to lofty expectations not being met. Given that most businesses have yet to optimize their AI solutions or generate a positive return on their invested capital, there’s a very high probability, based on historical precedent, of an AI bubble forming and bursting.

The second concern for Nvidia is that many of its top customers by net sales are internally developing AI-GPUs for their data centers. Even though these chips won’t be sold externally, and they’re not a match for Nvidia’s hardware on a compute basis, they are notably cheaper and not backlogged. There’s a good chance Nvidia may lose out on valuable data center real estate going forward, or at the very least contend with delayed upgrade cycles from its top customers.

Tesla: Implied downside of 95%

But when it comes to implied downside, electric-vehicle (EV) maker Tesla (TSLA 0.98%), which integrates AI solutions into its EVs, takes the cake.

Unlike Nvidia, Tesla has its fair share of skeptics. More than 10% of the 45 analysts covering the company in September rate it as the equivalent of an underperform or sell. This includes GLJ Research founder and analyst Gordon Johnson.

Earlier this year, Johnson reduced his price target on Tesla to just $19.05 per share. Keeping in mind that Tesla stock closed out the previous week at nearly $396 per share, it implies downside of roughly 95%.

Although Tesla has been profitable in each of the last five years, Johnson, a longtime Tesla bear, has a number of critiques to offer.

To begin with, he’s been critical of Tesla’s ancillary projects beyond EVs and energy generation and storage products. For instance, the hype surrounding Optimus robots has added to Tesla’s valuation but provides minimal value to the Tesla brand and little hope of any near-term sales.

Gordon Johnson also pointed to Tesla’s operating structure as a reason to be skeptical of its stock. While most “Magnificent Seven” members are thriving off of high-margin software sales, the bulk of Tesla’s sales are coming from lower-margin hardware where it possesses less pricing power. The more than half-dozen price cuts Tesla has undertaken on its fleet of EVs over the last couple of years is evidence that its competitive edge in the EV space has shrunk.

Johnson has been critical of Tesla’s mind-numbing valuation, as well. Whereas most automakers are valued at high-single-digit or low-double-digit price-to-earnings (P/E) multiples, Tesla shares are valued at an estimated 234 times forecast earnings per share in 2025. Worse yet, more than half of Tesla’s pre-tax income has originated from non-innovative and/or unsustainable sources, such as automotive regulatory credits and interest income on its cash.

Though a decline to $19.05 per share seems highly unlikely, there are other reasons to believe Tesla stock can head notably lower. Specifically, CEO Elon Musk hasn’t given investors much reason to be optimistic of late. Cybertruck sales have been a disappointment and the robotaxi launch event in Austin, Texas, was underwhelming.

These disappointments speak to a broader issue with governance at Tesla. Namely, Musk has a habit of overpromising and underdelivering. Whether it’s promising Level 5 autonomy is “one year” away for 11 straight years or projecting 1 million robotaxis would be on public roads by 2020, Musk consistently misses the mark.

The issue from an investment standpoint is that these lofty promises are being baked into Tesla’s stock. If these unfulfilled promises are backed out, it becomes very possible for Tesla shares to lose a significant percentage of their value.

Meta Platforms (META 1.93%), one of the leading social media companies, went public in 2012. Since then, the stock has performed exceptionally well. Its returns over this period are well above those of broader equities. However, some might argue that it’s too late to get in on the bandwagon.

Meta Platforms is now worth almost $2 trillion. Can the stock still generate life-changing returns? Let’s find out.

The bullish case for Meta Platforms

Meta’s bread and butter is advertising. The company boasts a portfolio of social media brands that includes Facebook, Instagram, Messenger, and WhatsApp. It has more than 3 billion daily active users across these platforms as of the end of the second quarter of 2025. The sheer volume of Meta’s ecosystem makes it an attractive place to run ads, but the company goes even further.

It has access to a considerable amount of data from its users, including basic demographic information, interests, favorite celebrities, and much more. This enables the company to assist businesses in crafting ads that are carefully targeted toward specific audiences, making them highly cost-effective.

Meta Platforms’ strategy has been successful, as evidenced by its financial results. Second-quarter revenue increased 22% year over year to $47.5 billion, while earnings per share came in at $7.14, 38% higher than the year-ago period.

The company’s core advertising business will remain central to its results for the foreseeable future. And here is the good news: Meta is improving its ad business thanks to artificial intelligence (AI). On the one hand, it helps improve the ad launch process with AI-powered tools that assist businesses in crafting ads, including by generating relevant messages and images and further enhancing targeting. On the other hand, AI-powered algorithms are boosting engagement on the company’s websites and apps.

The result: Time spent on Facebook and Instagram has increased lately. And according to a study the company ran, AI-powered ad tools improved return on ad spend by 22%.Meta is looking to automate the ad process completely, which should lead to even greater gains. The company could perform well as it moves toward that goal. But what happens beyond advertising?

In my view, Meta Platforms’ greatest strength is its ecosystem and culture of innovation. With several billion users, the tech giant can develop various monetization schemes, only a few of which need to take off to have a meaningful impact on its financial results. Meta is gradually expanding into other avenues, including paid messaging on WhatsApp. The company is investing in AI glasses, which CEO Mark Zuckerberg believes will become the norm within the next decade.

Thanks to its core business, its vast ecosystem, and various other initiatives, Meta could still deliver market-beating returns over the next 20 years.

Some risks to consider

Meta Platforms may encounter some obstacles. For instance, the company is spending a small fortune on AI infrastructure. That could be a problem if its AI initiatives don’t have the impact it hopes they will, especially if we enter an economic recession. Consumers spend less — and so do businesses, including on advertising — when the economy is struggling. The combination of slower revenue growth (if ad spending decreases) and increased expenses due to Meta’s investments in AI could harm the company’s financial results.

Antitrust lawsuits could present another potential threat to Meta Platforms. Regulators in the U.S. have argued that Meta has a monopoly in the social networking space. These lawsuits are still ongoing. In the worst-case scenario, Meta may be forced to divest some of its assets. Do these potential challenges justify avoiding the stock? Not in my view. Meta proved it could navigate economic challenges a couple of years ago.

Amid growing expenses, declining user growth, and slower revenue increases, the company regrouped, cut costs, and emerged from the ordeal stronger than ever. Meta’s AI plans are, so far, yielding tangible results, and we haven’t seen all that the company can do in this area yet.

Regarding the company’s legal problems, while it’s worth keeping an eye on those, a potential and uncertain worst-case scenario shouldn’t deter investors from this robust, well-run business that is firing on all cylinders. It might be worth revisiting the question if Meta loses its antitrust case, but the stock’s prospects remain highly attractive as things stand.

Lastly, Meta is now a dividend stock — a fairly new development — and reinvesting the payout will boost what should already be superior returns over the long run. So can Meta Platforms set investors up for life? I think it can.

Despite periods of turmoil in the stock market this year, most of the “Magnificent Seven” stocks have stayed hot. Those tech-focused megacaps have histories of generating strong earnings and free cash flows, and they’re all investing heavily in artificial intelligence (AI). Many investors expect them to be the primary beneficiaries of the AI revolution, which helps explain why their market caps have all now surpassed $1 trillion.

Despite their sheer size, some Wall Street analysts still foresee their shares making big moves upward. According to certain analysts, these two Magnificent Seven stocks could rise by 31% and 19%, respectively, over the next year.

Microsoft: Reaping the rewards of AI investment

There was a time when investors had questions about Microsoft‘s (MSFT -1.01%) investments in artificial intelligence. But recent quarters have largely put those doubts to rest, and Microsoft’s stock has risen about 20% so far this year. In the company’s fiscal 2025 fourth quarter (which ended June 30), Microsoft’s Azure and other cloud services division, which houses a lot of its AI offerings, generated astounding revenue growth of 39% year over year.

“Cloud and AI is the driving force of business transformation across every industry and sector,” said CEO Satya Nadella in Microsoft’s latest earnings release.

Following the earnings release, Truist Securities analyst Joel P. Fishbein Jr. issued a research report, maintaining a buy rating on Microsoft and raising his price target on the stock to $675, forecasting a gain of about 31% over the next 12 months. Fishbein thinks the tech giant will continue to see strong growth from its cloud business, as well as tailwinds in the broader AI ecosystem. “Sustained strong cloud growth at scale & growing AI demand capture can lead to at least low teens double-digit rev, profit & CF (cash flow) growth over an extended period, while consistently returning cash via divs/repurchases,” he wrote.

Microsoft has been able to monetize AI by integrating AI models from OpenAI and charging clients that use these templates. Additionally, Microsoft sells its Azure clients enterprise AI tools through Azure Foundry that allow them to build and implement AI chat, conversational AI, and AI agents, among other tools. Further growth is likely as AI begins to spread to more parts of the economy and different types of businesses across sectors.

Though it can be hard to gauge how much more room for growth a company with a more than $3 trillion market cap might have, I don’t have any issue recommending Microsoft to long-term investors. In addition to AI, the company has a tremendous slate of businesses, including its popular suite of office productivity software, its traditional cloud business, video games, and social media platforms. Plus, Microsoft is one of the only companies with a debt rating higher than the U.S. government.

Alphabet: Overcoming challenges all year

It’s been a tremendously volatile year for Alphabet (GOOG 0.16%) (GOOGL 0.10%). Toward the end of 2024, a federal judge sided with the Department of Justice in a lawsuit, agreeing that the Google parent had employed monopolistic practices to protect its domination of the search engine space, as well as in its digital advertising practices.

The Justice Department then asked U.S. District Judge Amit Mehta to make Alphabet divest itself of its Google Chrome unit, a key element of the company’s search business, which drives over half of Alphabet’s revenue. But recently, Judge Mehta ruled that the company would not have to do this.

Furthermore, Mehta said Alphabet can continue to pay distributors like Apple to make Google the default search engine on their web browsers. Alphabet reportedly paid Apple over $20 billion in 2022 to make it the default engine on the Safari browser, which is installed standard on all iPhones. However, Mehta said that exclusive contracts will not be allowed and that Google would have to share some of its search data with rivals. Overall, investors considered this a positive outcome for Alphabet.

Many were also concerned earlier this year that AI chatbots like OpenAI’s ChatGPT might significantly cut into Google’s search business. However, the AI Overviews results powered by Google Gemini that now top the responses to most Google search queries appear to be making progress and meeting the needs of consumers. Evercore ISI analyst Mark Mahaney said the judge’s ruling had removed a clear overhang on the stock, which will allow investors to focus on the company’s fundamentals.

“What we see is a Core Catalyst, with Google Search revenue growth likely to remain DD% [double digit] for the foreseeable future,” Mahaney wrote in a research note. While generative AI  will undoubtedly continue to provide competition, Mahaney believes Google’s ability to innovate will keep its search engine competitive and allow the company to continue to generate solid growth. His new 12-month price target on Alphabet stock is $300, implying about 19% upside from current levels.

I largely agree with Mahaney, although I think investors should monitor competition from the likes of ChatGPT. But Alphabet also has many other strong and growing businesses, among them its cloud business, YouTube, its Waymo self-driving vehicle unit, and even its own AI chip design business. Even after its big run-up, Alphabet still trades at about 24 times forward earnings. Given that the company’s relevance is unlikely to fade any time soon, at that level, it looks like a good long-term buy.

Citigroup is an advertising partner of Motley Fool Money. Bram Berkowitz has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet and Microsoft. 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.

This episode is the latest in our monthly PM Talks series, and Patrick Rhone and I dive into the idea of connection—what it means, how it shows up in unexpected ways, and why it’s such a powerful force in our lives. From sports teams and fandoms to faith, empathy, and even the role AI can play in everyday decisions, we explore how connection shapes the way we live, work, and relate to the world.

As always, the conversation is a mix of personal stories, practical reflections, and thoughtful insights. It’s one of those talks that started in one place (football fandom, of all things) and wound its way toward something bigger—how our connections help us build meaning, resilience, and compassion in a busy, noisy world.

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Six Discussion Points

• How fandom and sports teams spark lifelong connections—sometimes for surprising reasons.
• Why values strengthen or weaken our bonds, whether with people, communities, or organizations.
• The role empathy and compassion play as natural outcomes of genuine connection.
• How faith, rituals, and shared traditions anchor identity and belonging.
• The importance of questioning what we connect to and why, especially in daily life.
• How tools like AI can reduce decision fatigue and help free us up for deeper connections.

Three Connection Points

At its heart, this episode reminds us that connection is about much more than shared interests—it’s about empathy, values, and the choices we make every day. I hope you find it as thought-provoking to listen to as it was for us to record.

Want to support the podcast? You can subscribe to the show and leave quick rating and review wherever you listen to podcasts. You can subscribe on Spotify and also on Apple Podcasts.

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There’s no denying the trajectory of artificial intelligence (AI) over the past few years. Many of the companies that have pivoted to adopt this game-changing technology have ascended the ranks of the world’s largest companies when measured by market cap. When the stock market closed on Tuesday, there were 11 members of the vaunted $1 trillion club, the vast majority of which have significant ties to AI.

After the market close, industry stalwart Oracle (ORCL 1.37%) reported its recent quarterly results, and despite missing Wall Street’s expectations, the stock surged higher and never looked back. Why? In a stunning turn of events, the company signed numerous multibillion-dollar contracts that kicked its future growth potential into overdrive.

Given the magnitude of these deals, it seems the writing is on the wall for Oracle to join this elite fraternity. The company’s growth is at a tipping point, and management’s commentary suggests the company has a long AI-centric runway for growth ahead.

A trusted partner

Oracle holds a coveted place in the technology community, as roughly 98% of Global Fortune 500 companies make up its customer rolls. The industry stalwart provides its customers with a strategic combination of cloud, database, and enterprise software. Naturally, when the shift to AI began in earnest, this captive audience began to turn to Oracle for its expanding collection of cloud and AI solutions.

The company’s growth has been uneven, but the future looks bright. During Oracle’s fiscal 2026 first quarter (ended Aug. 31), total revenue grew 11% year over year to $14.9 billion, while its adjusted earnings per share (EPS) of $1.47 grew by 6%. Both numbers accelerated compared to Q4, but missed Wall Street’s consensus estimates, which called for revenue of $15 billion and adjusted EPS of $1.48.

However, that wasn’t the headline. Last quarter, CEO Safra Catz noted that the company had reached a “tipping point,” noting that revenue growth was accelerating, “and it’s only going up from here.”

That turned out to be an understatement. Oracle reported explosive growth in its remaining performance obligation (RPO) — or contractual obligations not yet included in revenue — which skyrocketed 359% year over year to $455 billion, up from $138 billion in Q4.

Catz explained, “We signed four multibillion-dollar contracts with three different customers in Q1,” calling the results “astonishing.” He went on to say that demand for Oracle Cloud “continues to build.” The company expects to sign “several additional multi-billion-dollar customers and RPO is likely to exceed half a trillion dollars.”

Looking to the future, Oracle is forecasting Oracle Cloud Infrastructure revenue to grow 77% to $18 billion this year — but that’s just the beginning:

• Fiscal 2027 cloud revenue of $32 billion, up 78%.
• Fiscal 2028 cloud revenue of $73 billion, up 128%.
• Fiscal 2029 cloud revenue of $144 billion, up 97%.

Mind you, this is just Oracle Cloud Infrastructure revenue, and Catz noted that “most of the revenue in this five-year forecast is already booked in our reported RPO.” That means that any future contracts will probably increase those growth targets.

The path to $1 trillion just got much shorter

Oracle is leveraging its position as a trusted partner to help customers choose suitable AI and cloud solutions and profit from the growing adoption of generative AI.

Before today’s results, Wall Street was expecting Oracle to generate revenue of $66.75 billion in its fiscal 2026 (which began June 1), giving it a forward price-to-sales (P/S) ratio of about 10. Assuming its P/S remained constant, Oracle needed to generate revenue of approximately $98 billion annually to support a $1 trillion market cap. Given those figures, Oracle could have achieved a $1 trillion market cap before 2028.

Wall Street hasn’t yet had time to update its models, but given the magnitude of the company’s results, previous forecasts are out the window. Barring unforeseen circumstances, I predict Oracle will join the $1 trillion club within the next 12 months.

Estimates regarding the market potential of generative AI continue to ratchet higher. Big Four accounting firm Price Waterhouse Coopers (PwC) calculates the opportunity could be worth as much as $15.7 trillion annually by 2030, which illustrates the magnitude of the opportunity.

Given the recent contract wins, Oracle has proven that it is leveraging its experience to profit from this windfall. The writing is on the wall, and Oracle is poised to join the fraternity of trillionaires in short order.

Danny Vena has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Oracle. The Motley Fool has a disclosure policy.

Exchange-traded funds (ETFs) make investing simple. With a few clicks of a button, you could quickly gain the opportunity to profit alongside a diversified collection of high-quality businesses.

In addition, select ETFs offer relatively easy ways to cash in on powerful economic trends, such as the artificial intelligence (AI) boom. Well-chosen funds could also provide you with bountiful and reliable passive income.

Read on to see why AI chip suppliers and high-yield dividend payers are particularly attractive stocks to buy today.

This ETF could help you profit from the AI revolution

The world runs on semiconductors. Laptops, smartphones, medical devices, modern cars and trucks, airplanes, satellites, and solar panels are just some of the products that require these essential components to function properly.

The microchips that underpin computer technology of all sorts are becoming even more valuable in the age of AI. The global semiconductor industry is poised to grow from $697 billion in 2025 to $1 trillion by 2030 and $2 trillion by 2040, according to Deloitte. Chip suppliers are set to see their sales and profits soar in the coming years.

The iShares Semiconductor ETF (SOXX -2.95%) offers you a convenient way to claim your share of this enormous and rapidly expanding market.

The fund is managed by BlackRock, one of the world’s largest investment companies, with assets under management of $12.5 trillion as of the end of the second quarter.

The ETF holds stakes in 30 stocks, all of which are key cogs in the global semiconductor supply chain. Leading chipmakers Nvidia, Advanced Micro Devices, Intel, Broadcom, and Taiwan Semiconductor Manufacturing stand among the fund’s largest holdings.

The ETF’s annual expense ratio is reasonable at 0.34%. That amounts to $3.40 for every $1,000 invested.

All told, the iShares Semiconductor ETF is a relatively effortless and low-cost way to position yourself to benefit from the AI-fueled chip boom.

This dividend ETF can help you build a lucrative passive income stream

Dividends are the sweet rewards of investing. A swell of cash payments pouring into your account year after year can drastically reduce your financial worries. Dividends can also help you pay for the things you enjoy.

Moreover, dividend stocks can add ballast to your diversified investment portfolio. Stocks that regularly pay out cash to their investors are generally less volatile than those that don’t. Dividend-payers also tend to outperform non-dividend-payers during bear markets. Better still, companies that can consistently grow their cash distributions often see their share prices rise in kind.

As its name suggests, the Vanguard High Dividend Yield ETF (VYM -0.09%) offers convenient access to a broad collection of income-generating stocks with above-average payouts. The fund’s annualized dividend yield of roughly 2.6% is more than twice that of the S&P 500 Index, making it an excellent source of passive income.

With positions in roughly 580 stocks across a range of sectors, the ETF also provides investors with the wealth-protecting benefits of diversification. Top holdings, which include dividend stalwarts such as JPMorgan Chase, ExxonMobil, and Walmart, further help to mitigate the risks for shareholders.

Best of all, Vanguard charges ultralow fees, so nearly all the ETF’s gains will be passed on to investors. The Vanguard High Dividend Yield ETF has an expense ratio of 0.06%, which amounts to just $0.60 per $1,000 invested annually.

JPMorgan Chase is an advertising partner of Motley Fool Money. Joe Tenebruso has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Intel, JPMorgan Chase, Nvidia, Taiwan Semiconductor Manufacturing, Vanguard Whitehall Funds-Vanguard High Dividend Yield ETF, Walmart, and iShares Trust-iShares Semiconductor ETF. The Motley Fool recommends Broadcom and recommends the following options: short August 2025 $24 calls on Intel and short November 2025 $21 puts on Intel. The Motley Fool has a disclosure policy.