As it turned out, it was Warren Buffett who was to thank for Berkshire Hathaway‘s (NYSE:BRK.B) big bet in Alphabet (NASDAQ:GOOG). And while the great Oracle of Omaha may have wished he’d gotten the legendary conglomerate into the AI blue-chip far sooner in the game, I think it’s far better late than never, especially when it comes to a company that’s already shown it knows how to generate serious alpha over the long haul.

Indeed, if you’re surprised that Warren Buffett himself would choose Alphabet, you’re definitely not alone, given the man’s long-time hesitance when it comes to stocks within the technology sector.

The next great Warren Buffett bet after Apple?

Now that we’ve got more clarity that Buffett himself made the move, as he admitted in a sitdown with CNBC’s Becky Quick, the big question is whether Alphabet is about to take the throne away from Apple (NASDAQ:AAPL) as the largest holding within the Berkshire Hathaway public portfolio.

As it turned out, trimming Apple shares over the years wasn’t the optimal call, especially with the iPhone maker blasting off to new all-time highs while much of the Magnificent Seven are still some percentage off their highs. And while Buffett still had high praise for the Cupertino-based giant, which is poised to deliver Siri AI in a matter of weeks, the valuation is a giant question mark right now. After soaring 35% in six months, Apple now trades for more than 40.0 times trailing price-to-earnings (P/E).

That’s the most expensive that Apple has been in a very long time, and prospective new buyers are right to question the higher price of admission, even given the catalysts on the horizon and the big CEO change that’s also just weeks away.

Indeed, Alphabet’s Google is to thank for helping Apple get up to full speed in the AI race with its latest Apple Foundation Models. And while Apple has seemingly found a smart shortcut to close the gap in the AI race, I do think that investing in the firm behind the profound AI lab also makes a lot of sense, especially since frontier enterprise-grade AI and consumer AI are completely different ballgames.

Alphabet certainly seems mispriced as investors ponder its position in the AI race

While Berkshire started buying quite a while ago, I still view Alphabet stock as far easier to justify at 26.9 times trailing P/E, especially after the latest 5% intraday decline surrounding delays for Gemini 3.5 Pro, which should have been launched last month.

On the surface, the delay feels like Google is losing its luster in this AI race when, in reality, the company is probably just taking its time to ensure sufficient polish on an advanced AI model that could change the game. Delays are never fun, but if Google has taught us anything in this multi-year AI race, it’s that it’s a wonderful company that’s worth the wait.

In any case, I think covering both bases in AI (consumer with Apple, frontier with Google) makes the most sense. It doesn’t have to cost a fortune to get these sought-after seats to the AI revolution.

No IPO-chasing needed.

At the end of the day, Google is an AI powerhouse that could surprise with its coming release, even if it’s dubbed as losing some spots in the AI leaderboard until it can finally release Gemini 3.5 Pro. In my view, a month or so of delay is nothing in the grander scheme of things. Personally, I think delays are good news, given that Google knows the risks of pushing something out the door that isn’t up to standards.

The bottom line

While time will tell how Alphabet shares fare for Berkshire in the AI age, I do think it could be one of Warren Buffett’s last brilliant, needle-moving stock picks, one that I believe has a chance to match the big move in Apple over the past decade.

The post Alphabet Could Become Warren Buffett’s Smartest Long‑Term Pick Yet appeared first on 24/7 Wall St..

Artificial intelligence has turned from a software race into an infrastructure arms race. The companies building the biggest AI models are discovering that chips, data centers, and electricity are becoming the limiting factors — not customer interest. 

A company spending billions because demand is weak is a warning sign. One that does so because it cannot build capacity fast enough to satisfy customers is a very different story. That appears to be the challenge facing Alphabet’s (NASDAQ:GOOG) Google. The company is not struggling to find buyers for AI services; it just can’t produce enough computing power to serve them.

Google’s AI Spending Is Accelerating Faster Than Expected

Google is keeping its foot on the AI spending pedal. In Q4 2025, it said capital expenditures would reach $175 billion to $185 billion this year. The market questioned whether the company was spending too aggressively, as it nearly doubled Google’s 2025 spending. Investors feared Big Tech’s AI investments could become a costly spending race.

One quarter later, though, Google reported $35.7 billion in capex during Q1 alone. Instead of slowing down, management raised its full-year capex forecast to $180 billion to $190 billion. The reason was simple: demand exceeded supply. During the earnings call, CEO Sundar Pichai said Google Cloud revenue would have been higher if the company had enough capacity to meet customer demand.

It means Google is not building infrastructure and hoping customers will appear. They are already here — and they are waiting.

A $462 Billion Backlog Shows AI Demand Is Real

The clearest evidence is sitting inside Google Cloud’s $462 billion backlog, which nearly doubled in a single quarter. Management expects more than 50% of that backlog to convert into revenue within 24 months. For comparison, Google Cloud generated $43.2 billion in revenue during 2025. The backlog represents more than 10 times that annual revenue base.

The size of enterprise commitments is also expanding. Google said the number of billion-dollar-plus cloud deals signed in 2025 exceeded the combined total from the previous three years. Google’s problem is not finding AI customers. It is keeping up with them.

Internal AI Demand Is Adding More Pressure

Bloomberg reported Google delayed the launch of Gemini 3.5 Pro as engineers struggled to meet internal performance goals. It also highlighted an unusual challenge: Google’s own employees are becoming major consumers of AI compute.

The company required that engineers use AI tools to help generate code. That initiative is designed to improve productivity, but it also increases demand for the same computing resources Google sells to outside customers. In other words, Google is competing with itself for GPUs.

That creates a rare situation. A company running out of AI capacity for its own engineers while holding a $462 billion cloud backlog does not have a reason to cut spending. In fact, it may need to spend even more.

Granted, there are risks. AI infrastructure spending requires enormous upfront investment, and returns will depend on whether enterprise demand remains strong enough to justify the cost. The industry has not yet reached the point where every AI dollar spent guarantees a dollar earned.

That said, Google’s current constraint is the type investors generally want to see: too much demand rather than too little.

Key Takeaway

In short, Google’s rising capex is not simply a spending story. It is a capacity story. The company has enterprise customers waiting on a $462 billion backlog, but its own engineers are consuming more AI resources. Management is raising spending because the existing infrastructure cannot keep pace.

The question for investors is not whether Google can find demand for AI. It may be whether it needs to spend even more money on infrastructure while simultaneously building faster the capacity it has already contracted for. It’s not necessarily a bad problem to have.

The post Google’s AI Budget Could Explode Even Higher as It Runs Out of Capacity appeared first on 24/7 Wall St..

Ahead of Alphabet’s Q2 2026 earnings report, Bank of America has struck a bullish tone, and our proprietary model largely agrees. Alphabet (NASDAQ:GOOG) has already returned 102.77% over the past year, and the setup into next week’s report looks unusually clean.

Our 24/7 Wall St. price target for Alphabet is $440.13, implying 19.06% upside from the current $369.68 quote. Our model carries a high-conviction bullish reading.

24/7 Wall St. Price Target Summary

The Setup Heading Into Q2 Earnings

Alphabet is a coiled spring right now. The stock is 6% below its 52-week high of $404.23, well off the 52-week low of $184.20, and up 18.13% year to date.

Q1 2026 was a blowout: revenue of $109.9 billion (+21.79%), EPS of $5.11 against a $2.6327 consensus, and Google Cloud revenue up 63% to $20.028 billion, with cloud backlog nearly doubling sequentially to $462 billion. Prediction markets currently assign a 96.6% probability that Alphabet beats again on July 22.

Why Bulls See a Breakout Past $450

The bull case rests on cloud, AI monetization, and Waymo optionality. Google Cloud operating margin already expanded from 17.8% to 32.9% year over year, and revenue from products built on GenAI models grew nearly 800%.

Gemini now processes 16 billion tokens per minute, Gemini Enterprise paid monthly active users grew 40% quarter-on-quarter, and Waymo just crossed 500,000 fully autonomous rides per week. If Q2 confirms cloud acceleration and TPU hardware revenue starts flowing in 2027, our bull case scenario points to $458.61.

What Could Go Wrong

The bear case centers on capital intensity. CapEx more than doubled to $35.674 billion in Q1, pushing free cash flow down 46.63%, and 2026 CapEx guidance was raised to $180 billion to $190 billion.

A $3.5 billion EC fine and Google Network revenue declining year over year add pressure. Bulls would counter that heavy investment reflects committed enterprise demand, evidenced by backlog nearly doubling sequentially. Our bear scenario lands at $357.83.

How Alphabet Compares to Microsoft and Meta

Microsoft (NASDAQ:MSFT) is the most direct cloud comparable. Microsoft trades at a P/E of roughly 29, with Azure growing 40% and commercial RPO surging to $627 billion. Google Cloud’s 63% growth is faster off a smaller base, and Alphabet’s lower multiple leaves room for our target to look conservative.

Meta Platforms (NASDAQ:META) is the ad-market counterpoint. Meta trades at a P/E of roughly 25, delivered 33.1% Q1 revenue growth, but guided full-year 2026 CapEx to $125 to $145 billion. Alphabet’s forward P/E of roughly 25 sits between the two, which makes our $440.13 target look reasonable.

Alphabet Price Prediction 2026-2030

The 24/7 Wall St. price target is $440.13, our recommendation is buy, and confidence is 90%. Cloud acceleration paired with a below-peer forward multiple tips the scale.

The bullish thesis strengthens if Q2 confirms sustained cloud growth at recent levels and stable ad monetization. The thesis weakens if CapEx pushes free cash flow into further contraction without commensurate backlog conversion.

The table below shows our 2026 and 2030 targets from the model; intermediate years are not published as separate point estimates.

These projections assume Alphabet continues executing on cloud, Gemini, and Waymo. Regulatory rulings or an AI CapEx overbuild could push the trajectory materially lower.

The post Bank of America Says Alphabet’s Q2 Will Deliver. Here’s The Price Target appeared first on 24/7 Wall St..

Netflix (NASDAQ:NFLX) shares are down 11% to $65 and change in early Friday trading after the streaming giant reported second-quarter results and issued a Q3 outlook that fell short of Wall Street expectations.

The reaction is notable given the setup. Netflix stock had already been under pressure heading into the print, and the guide-down has amplified a narrative shift that analysts are calling a loss of momentum.

Guidance Miss Overshadows a Clean Q2

Netflix’s Q2 2026 numbers were fine on the surface. The company reported revenue of $12.56 billion, up 13% year over year (YoY) and just shy of the $12.58 billion consensus, with growth decelerating from 16% in Q1 2026. The company’s Q2 EPS came in at $0.80, beating the $0.79 estimate.

The selloff is about the outlook. Netflix guided Q3 revenue to $12.86 billion versus the Street’s $13 billion, and Q3 EPS to $0.82 versus $0.84 expected. The company’s full-year 2026 revenue guidance of $51 to $51.4 billion was largely in line. Netflix’s free cash flow fell to $1.5 billion from $2.3 billion, weighed down by higher cash taxes tied in part to a $2.8 billion breakup fee Paramount Skydance (NASDAQ:PSKY) paid Netflix related to the Warner Bros. Discovery (NASDAQ:WBD) bid Netflix walked away from.

Analysts Warn Netflix Is “Losing Narrative Control”

The analyst desk moved fast. Barclays cut its NFLX stock price target to $80 from $85 (Equal Weight), saying Netflix is “losing narrative control” as investors question the durability of its growth. Pivotal Research cut to $70 from $96 (Hold), and TD Cowen cut to $100 from $112 (Buy). Bloomberg Intelligence’s Geetha Ranganathan described “some kind of slowdown.”

Adding to the credibility strain, Netflix disclosed it will report engagement metrics only once a year starting in 2027, down from twice a year, which analysts called “not a great look.” Co-CEO Greg Peters framed the shift by stating that “not all hours are created equal” when discussing view hours. Netflix’s U.S. and Canada revenue growth also decelerated to 10%, and a short-form content push launches August 3.

Bull and Bear on Netflix

The bull case still has legs. Netflix beat on Q2 EPS, absolute revenue growth remains healthy, and management sees the ad business doubling to $3 billion in 2026. Pricing power and a large untapped addressable market support the long-term thesis, and r/wallstreetbets sentiment scored 88 (Very Bullish), with dip-buyers active.

The bear case for Netflix is decelerating growth, soft guidance, reduced disclosure optics, and lower free cash flow. Investors should consider keeping their NFLX stock position sizes modest given the volatility.

Peers Little Changed as Read-Through Cuts Both Ways

This is largely a Netflix-specific story, and peer action reflects that. Walt Disney (NYSE:DIS) shares are little changed this morning, with Disney stock down 12% year to date. Warner Bros. Discovery shares are also flat, with WBD stock up 117% over the past year. Paramount Skydance shares are flat too. PSKY sits on the story because of the $2.8 billion breakup fee it paid Netflix. Meanwhile, Spotify shares are down 3% on Friday morning. If anything, Netflix flagging competition as a headwind can cut in favor of Disney+, Warner Bros. Discovery’s HBO Max, and Paramount+.

For diversified exposure, the Communication Services Select Sector SPDR Fund (NYSE ARCA:XLC) holds Netflix at 5% and Disney at 5%, but the ETF is dominated by Meta Platforms (NASDAQ:META) (20%) and Alphabet (NASDAQ:GOOGL) (NASDAQ:GOOG) (11% GOOGL and 9% GOOG). It behaves more like a big-tech-communications fund than a streaming play, and single-sector concentration risk applies.

What to Watch

Investors can watch for whether the 11% gap fills or extends into the close. Key upcoming catalysts include U.S. upfront advertising negotiations, the August 3 short-form launch, and refinancing of $1 billion of debt maturing later in 2026. The Q3 print will be the next real test of whether Netflix can reclaim the growth narrative.

The post Netflix Sinks 11% on Soft Q3 Guidance as Analysts Warn It’s “Losing Narrative Control” appeared first on 24/7 Wall St..

China’s President Xi Jinping wants to build a better AI mousetrap. He made the claim at a large gathering at the World AI Conference in Shanghai. China can dominate the world’s AI progress. Among his comments was “AI development should not be a solo performance by a single country, but a symphony of international cooperation.” It may be a coincidence that this comes as Anthropic is about to launch its IPO.

The New York Times reports that all signs point to Anthropic’s plan to go public amid many challenges to its model. “The artificial intelligence lab is said to have taken more steps that are consistent with a company aiming to go public in the fall,” the newspaper reported.

China is not the only hurdle. Stiff competition from a number of other companies, which include OpenAI and Alphabet (NASDAQ: GOOG), means that its technology needs to stay one step ahead of the industry. And, the stock market has shown skepticism about the future of companies that need hundreds of billions of dollars to build out data centers, and whether they remain on the cutting edge of what may be the most important technical advance in history. Anthropic’s value after its large round of funding was $965 billion. Its annualized revenue is about $47 billion, based on recent estimates.

There is ample evidence that China has made impressive advances in AI. According to Bloomberg, “Chinese models are winning over companies worldwide, with their share of US firms’ AI usage nearing a record 60% on the popular marketplace OpenRouter.”

Xi also said China wants to dominate the setting of standards for AI use worldwide. His comments also come with news that a new model from his country’s Moonshot, a private company, can match the strengths of Anthropic’s models.

The brutal battle over which company has the most advanced and useful AI also comes at a time when corporations are asking whether AI products are worth what they have to pay for access to them. In June, Microsoft (NASDAQ: MSFT) said Anthropic’s Claude AI models were too expensive compared to others and that companies are starting to look for alternatives. Of course, as an Anthropic competitor, Microsoft’s objectivity needs to be questioned.

Today, really today, companies need to decide who is right and who is wrong. Does China’s technology come close to Anthropic’s? By almost any measure, it is less expensive. Or is Anthropic’s technology so much better that its high prices are justified? It is among the major questions that the company faces as it goes public.

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Warren Buffett is back on TV, and on CNBC, to be specific. As he left, he would be “going quiet.” As chairman of Berkshire Hathaway (NYSE: BRK-B), he added, “I enjoy the chance to keep in touch with you.” The person to “keep in touch” with is supposed to be the new CEO, Greg Abel.

Abel has run Berkshire this year, and it has gone through an ugly sell-off. It is down 3% this year while the S&P 500 is up 10%. Over the last five years, both have increased by about 75%. That advance worked even though Berkshire’s investments have not been heavily weighted toward mega-cap tech stocks. Buffett made the point that he had pushed into the sector; however, Yesterday, he made the point very clearly that he decided to buy shares of Alphabet (NASDAQ: GOOG).

The Alphabet investment began late last year, and Berkshire then invested $10 billion in a private placement to fund the expansion of the search company’s AI infrastructure. Buffett did tip his cap to Abel by less than a modest amount. “I am not doing anything that he doesn’t approve of. He’s not doing anything I don’t approve of. We talk all the time, but he is the decider,” he told the TV network.

Behind the scenes, Buffett can’t be happy. Berkshire has been the tool of his decades-long success. Besides private holdings, it has been built on holdings in Bank of America (NYSE: BAC), Coca-Cola (NYSE: KO), Chevron, and American Express. He has had particular success with Occidental Petroleum (NYSE: OXY), which he began buying in 2019. He had a “walk-off” home run with Apple (NASDAQ: AAPL). On CNBC, he discussed the strength of Apple’s leadership. He also expressed worry about the amount of money tech companies are spending on AI.

It is in the early days for Abel. He cannot like, however, Buffett showing up on CNBC dressed like Mr. Rogers. Mr. Rogers often reminded people that his show was his “neighborhood.” Mr. Rogers’ favorite song ended: “Would you be mine? Could you be mine? Won’t you be my neighbor?”

The post Why Is Buffett Back On TV As Berkshire Shares Fall? appeared first on 24/7 Wall St..

Pick between the Schwab U.S. Large-Cap Growth ETF (NYSEARCA:SCHG) and the Vanguard Growth ETF (NYSEARCA:VUG), and you are choosing between twins raised in different houses. Same neighborhood, same mega-cap tech obsession, same job description. Over three decades of compounding, the coin lands slightly heavier on one side, and that is where the real money hides.

Both funds hunt the same herd. A large-cap growth tilt, heavy technology lean, anchored by the handful of names carrying the market. VUG’s top four positions, per its June 2026 fact sheet, are NVIDIA (NASDAQ:NVDA) at 13.3%, Apple (NASDAQ:AAPL) at 12.3%, Alphabet (NASDAQ:GOOGL) + (NASDAQ:GOOG)  at 9.9%, and Microsoft (NASDAQ:MSFT) at 9.1%. SCHG’s ordering shifts, but the top-of-book concentration lands in the same zip code.

The return engines are wired the same way. Neither fund plays options, harvests credit spreads, or juices distributions. They own the biggest growth companies in America and let earnings compound. When NVIDIA reports about an 85% year-over-year revenue quarter and guides to $91 billion for the following period, both NAVs feel it. When Microsoft’s AI business crosses a $37 billion annual run rate, both funds capture it in proportion to their holdings.

What the Track Records Actually Say

The twins stop looking identical over long horizons. SCHG returned about 85% over five years, compared with VUG’s about 78%. Over ten years, SCHG delivered 412% versus VUG’s 372%. Year to date, VUG leads at about 7% against SCHG’s about 6%. The ten-year gap is the signal worth pricing in.

Ten years is long enough to matter. Same category, same holdings neighborhood, thousands of dollars apart on a $10,000 starting stake. Extend that spread across a 30-year retirement and the difference stops being trivial.

Fees, Index Construction, and the Small Stuff That Compounds

Fees are effectively a wash. Both funds sit at the industry floor. VUG’s expense ratio is in the low single-digit basis points (0.04%), and SCHG has historically charged in the same neighborhood (0.03%). The index-construction gap dwarfs any fee difference.

VUG tracks the CRSP US Large Cap Growth Index. SCHG tracks the Dow Jones U.S. Large-Cap Growth Total Stock Market Index. Different growth screens, different reconstitution schedules, different tail exposure. SCHG’s index has historically held more names and leaned slightly harder on the growth factor, which shows up when growth leads.

The Tradeoffs Worth Naming

1. Concentration risk is real. VUG’s top four holdings represent about 45% of net assets. When Microsoft dropped about 20% year-to-date while other growth names held up, VUG felt it directly. Anyone treating these as diversified vehicles is misreading the label.
2. Ecosystem friction is the tiebreaker most investors ignore. If your taxable account sits at Vanguard and you already hold VUG with embedded gains, selling to switch into SCHG triggers a tax bill that erases the compounding edge for years. New money and existing money are separate decisions.
3. Neither fund pays you to wait. Yields on both sit well under 1%.

The Verdict

SCHG wins on the merits. A leaner long-run cost path, a slightly more aggressive growth index, and a decade of receipts showing it captured more upside than VUG. For new money going into a large-cap growth sleeve, SCHG is the cleaner fit.

For existing Vanguard holders sitting on VUG with meaningful embedded gains in a taxable account, the tax hit from switching costs more than the fund difference earns back. In a Roth or 401(k), where taxes do not gate the trade, SCHG is the one worth studying first.

The post VUG vs. SCHG: The Growth-ETF Showdown That Could Quietly Cost You Thousands appeared first on 24/7 Wall St..

I keep hitting the buy button on Alphabet (NASDAQ:GOOG), and every quarter hands me a fresh reason to do it again. This is the position I plan to hold for the next decade, and the case gets stronger with each earnings report.

The reason is simple: Google is running the AI stack from silicon to search, and the numbers are showing up in the financials before they show up in the price.

The Compounding Machine I Keep Feeding

Start with Cloud. Google Cloud revenue grew 63% in Q1 FY2026 to $20.03B, and the backlog nearly doubled quarter over quarter to over $460 billion. That is contracted future revenue, already on the books. Search kept rolling with 19% growth and queries at all-time highs. YouTube ads posted $9.88B. Paid subscriptions across YouTube Premium and Google One reached 350 million.

The earnings pattern behind the price is what keeps me buying. Q1 FY2026 EPS came in at $5.11 against a $2.63 estimate, the fourth straight quarter of beating expectations.

Operating income grew 30% year over year to $39.70B, and operating margin expanded to 36.1%. Full-year FY2025 annual revenues exceeded $400 billion for the first time. Sundar Pichai summed up the tone: “2026 is off to a terrific start. Our AI investments and full stack approach are lighting up every part of the business.”

Why This One and Not the Obvious Alternatives

When people talk mega-cap AI, they reach first for Microsoft (NASDAQ:MSFT) or Amazon (NASDAQ:AMZN). I get the reflex. What keeps my capital going into Alphabet is the combination of price and pace. Alphabet trades at a forward P/E of 25 against TTM EPS of $13.1, with return on equity of 38.9%.

On the Cloud side, one investor podcast I follow put it plainly: “Google is significantly outgrowing Amazon in the cloud space because they made an early bet on courting AI companies.” Cloud growth at 63% year over year is doing that work in the numbers.

The analyst desk lines up behind it: 14 strong buys, 44 buys, 7 holds, zero sells, with a consensus target of $428.54. The stock currently sits 6% below its 52-week high after running 93.96% in the past year and 882.93% over the past ten years.

The Risk I Own With Open Eyes

The real risk is capital expenditure. Q1 CapEx more than doubled to $35.67B, up 107.44% year over year, and management guided $175B to $185B in CapEx for FY2026. Free cash flow fell 46.63% in the quarter. That is a real drawdown on the cash machine, and I think about it every time I add to the position.

The reason it has not changed my thesis: operating cash flow still grew 26.67% to $45.79B, shareholders equity sits at $478.75B, and Alphabet raised its quarterly dividend 5% to $0.22 per share during the heaviest investment period in its history. Google is spending because a $460 billion Cloud backlog is asking it to.

The Buy Button Stays Active

I own Alphabet because the moat, the growth engine, and the balance sheet all point the same direction, and I plan to still own it in July 2036 for the same reason I bought more of it this week.

The post The Ultimate Stock to Buy And Hold For A Decade appeared first on 24/7 Wall St..

From Search Giant to AI-First Platform

When Alphabet (NASDAQ:GOOGL) handed Sundar Pichai the Google CEO job on August 10, 2015, the company was still fundamentally a search-and-advertising business dressed up in moonshot ambition. Weeks later came the Alphabet holding-company restructuring, and by December 3, 2019, Pichai took the parent CEO role from Larry Page.

The decade since has been a controlled pivot. Pichai reoriented Google around AI, poured capital into TPUs and DeepMind, scaled YouTube into a $60 billion-plus annual business, and built Google Cloud from a rounding error into a segment now running at over $80 billion annually. Gemini shipped, the Gemini App crossed 750 million monthly active users, and Waymo passed 500,000 fully autonomous rides a week. In 2024, Alphabet even initiated its first dividend, a symbolic shift toward mature capital allocation. The overhang: antitrust cases, a $3.5 billion EU fine, and a jaw-dropping $180 billion to $190 billion capital spending plan for the current year. A $10,000 stake made the day Pichai became Google CEO has compounded aggressively.

A Pichai-Era 10-Bagger

Here is how it stacks against the S&P 500 across standard windows and the full Pichai era.

That original $10,000 is now worth roughly 11 times its cost basis, versus roughly 3.5 times in an index fund. Holding required nerve: the stock spent much of 2025 below $200 before ripping to $408 at the 52-week high.

Our grade for Pichai: A minus. He missed the ChatGPT moment early but shipped Gemini, defended Search, and built a real cloud business. Regulatory losses and capex risk keep it from being an A+.

The Succession Question

Pichai has now run Google for over a decade and Alphabet for more than six years. If the AI capex bet strains free cash flow (Q1 free cash flow fell to $10.12 billion, down 46.63% year over year), founder involvement from Page and Brin could intensify, and a technical successor from the DeepMind or Cloud ranks becomes conceivable. However, nothing has been announced. Investors should treat any leadership chatter as noise unless the board signals otherwise.

The Bull and Bear Case, With Caveats

The bull case rests on whether investors believe the $460 billion Cloud backlog and Gemini’s 16 billion tokens per minute in API throughput translate to durable operating leverage. At a forward P/E of 25 with 82% earnings growth and largely bullish analyst sentiment, the setup looks reasonable. The bear case rests on AI search cannibalizing ad economics or $180 billion-plus in annual capex never earning its cost of capital. On balance, the setup skews constructive, though scaling in is more prudent than chasing the recent breakout.

The post A $10,000 Investment in Google When Sundar Pichai Took Over Is Worth This Much Now appeared first on 24/7 Wall St..

Alphabet (NASDAQ:GOOG) and Broadcom (NASDAQ:AVGO) both delivered blockbuster AI quarters, but the results hide a widening strategic gap. Alphabet is a hyperscaler feeding its own custom chips into a $460 billion cloud backlog. Broadcom is the merchant silicon supplier riding that same wave. Same AI supercycle. Very different positions in the value chain.

TPUs Feed the Cloud. Broadcom Sells the Picks and Shovels.

Google’s Q1 FY2026 landed with EPS of $5.11 against a $2.63 consensus, a fourth straight beat, on revenue of $109.90 billion (+21.8% YoY). Google Cloud was the star at $20.03 billion (+63% YoY), with Sundar Pichai noting Gemini is now “processing more than 16 billion tokens per minute via direct API use”. CapEx more than doubled to $35.67 billion, with 2026 guidance calling for $175 to $185 billion. That spend flows straight into Google’s own TPU stack.

Broadcom’s Q2 FY2026 was strong. EPS of $2.44 beat by 1.79%, and AI semiconductor revenue jumped to $10.80 billion, up 143% YoY. Hock Tan guided Q3 AI revenue to $16.0 billion, over 200% YoY. The catch: that growth depends on a handful of hyperscalers, and one of them, Google, is a customer aggressively vertical integrating.

Hyperscaler Kingpin vs. Silicon Middleman

Alphabet bypasses the hardware margin squeeze entirely. It designs TPUs, monetizes them through Cloud, and layers a sovereign Gemini ecosystem on top. Multi-gigawatt compute deals with Anthropic plug directly into that stack. Broadcom sells accelerators and Ethernet switches into the same customers but faces rising foundry costs and a crowded custom ASIC field with Marvell competing for socket wins.

The valuation asymmetry is stark. Google trades cheaper on forward earnings than a fabless chipmaker with severe customer concentration risk. AVGO shed roughly a quarter of its value in the last month, and founder Henry Samueli unloaded over 1 million shares on June 24 alone. That is not typical rebalancing.

The Anthropic Compute Race Decides Who Pulls Ahead

Watch Google Cloud’s backlog conversion, Gemini Enterprise’s 40% QoQ growth in paid MAUs, and whether TPU capacity keeps absorbing internal AI workloads. For Broadcom, keep an eye on whether the $16 billion Q3 AI target holds if any hyperscaler pulls back custom ASIC orders in favor of in-house silicon.

Why I’d Take the Vertical Stack Over the Silicon Middleman

I lean toward Google. Owning the chips, the cloud, the models, and the distribution surface gives it pricing control that a merchant chipmaker cannot replicate. At 25x forward earnings with a $426.62 analyst target, the risk-reward looks cleaner than paying 60x trailing for AVGO’s exposure to the same customers Google is quietly disintermediating. For me, the hyperscaler kingpin monetizing its own chips end-to-end is the better place to sit in 2026.

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Max Kettner, HSBC’s chief multi-asset strategist, argued on CNBC’s Closing Bell Overtime on July 7, 2026, that mega-cap tech business models have “fundamentally changed in terms of taking on debt and being cash flow negative,” but the real story is that Wall Street walks into Q2 earnings expecting the worst on capex, which sets up a beat with real fuel behind it.

The five stocks that matter are Alphabet (NASDAQ:GOOG), Microsoft (NASDAQ:MSFT), Amazon (NASDAQ:AMZN), Meta Platforms (NASDAQ:META), and NVIDIA (NASDAQ:NVDA). Microsoft reports first on July 29, 2026, roughly two weeks away, and will set the tone.

The Low-Expectations Setup

“We go into the Q2 reporting season with basically saying, oh my gosh, are they really going to be upgrading capex even more?” If hyperscalers confirm they can keep spending without breaking, that would “take the wind out of the sails of some of the AI bears.”

Look at Q1 results against sell-side estimates. Alphabet reported EPS of $5.11 versus a $2.63 consensus, a 94.10% beat, with Google Cloud revenue up 63% year over year and backlog nearly doubling quarter over quarter to over $460 billion. Meta printed $10.44 versus $6.66, a 56.79% beat, though most surprise came from $8.03 billion tax benefit tied to Treasury guidance on R&D costs. Amazon delivered $2.78 versus $1.73, a 60.69% beat, with AWS growing 28%, the fastest in 15 quarters. Microsoft’s AI business run rate hit $37 billion, up 123% year over year. NVIDIA reported data center revenue of $75.25 billion, up 92%, guided to $91 billion in Q2, and disclosed total supply commitments of $119 billion in its quarterly release. Five reports, five beats, most substantial.

Consensus revenue beats have narrowed to 1.24%-3.60% for Microsoft, while EPS beats remain in mid-single digits, meaning the Street is catching up on the top line but still lowballing profitability. Our team’s coverage of the names driving AI infrastructure spending digs into how that plays out across the supply chain.

Why the Debt Fear Is Overblown

The concern is capex financing. Alphabet guided $175 billion to $185 billion for 2026. Amazon set the bar around $200 billion. Meta lifted its range to $125 billion to $145 billion. Free cash flow is compressing at Alphabet, down 46.63% year over year in Q1, and Amazon’s TTM FCF has collapsed as capex nearly doubled.

Tech issuance is only about 10% of total supply so far this year of total supply, meaning the hyperscalers can fund what they need without saturating credit markets. Prediction markets echo the confidence. Polymarket assigns a 94.7% probability that Amazon’s 2026 capex exceeds $170 billion and an 87.5% probability that it exceeds $200 billion. The market is not pricing a funding crunch.

The Broadening Trap and What to Watch

Tech and AI within the S&P are up more than 40% since early March, while the other roughly 50% of the index has only clawed back its losses over the same window. Alphabet is up 18.84% from March 2 through July 7. Amazon is up 18.04% over the same window. NVIDIA gained 8.05%. Meta actually slipped 5.65%, and Microsoft fell 2.22%, both weighing on the group’s average while the broader complex ran.

Kettner expects broad-based earnings delivery in coming weeks, then a fading catalyst. Watch three things in Q2 earnings reports. Whether capex guidance ticks higher again, particularly at Alphabet after its $35.67 billion Q1 spend. Whether AWS maintains its 28% growth rate or accelerates further. And whether NVIDIA’s Q2 guide of $91 billion proves conservative when management reports in late August. Kettner thinks it will. Nobody expects the upgrade cycle to continue. If it does, the bears lose their footing.

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Alphabet (NASDAQ:GOOG) told investors on its Q1 2026 earnings call that it now expects to spend $180 billion to $190 billion on capital expenditures this year, raised from a prior range of $175 billion to $185 billion. That is guidance, not a reported result. Management also said 2027 CapEx will “significantly increase compared to 2026.”

The company that built a nearly $2 trillion valuation on high-margin advertising is now pouring an ad-industry’s worth of cash into AI infrastructure every twelve months. If the company can grow its overall advertising revenue toward the $1 trillion level as many think is possible, this is a stock that’s trading at a relatively cheap level, though the jury remains out on this front.

What It Means

Alphabet spent $35.67 billion on capex in a single quarter, more than double the year-ago figure. As a result, free cash flow unsurprisingly fell to $10.116 billion, down 46.63% year over year.

For a business that historically converted ad dollars into cash at industry-leading rates, that swing is the story behind the story. The bull rebuttal is that ads are still growing. That’s evidenced by Search and Other revenue climbed 19% to $60.4 billion, and consolidated revenue reached $109.9 billion, up 22%.

That said, I do think the overall revenue and earnings growth mix supporting the company’s fundamentals may be fraying. Google Network advertising fell 4% to roughly $7 billion. YouTube ad growth cooled to 11%. And CEO Sundar Pichai acknowledged the company is “compute constrained in the near term“, adding that “cloud revenue would have been higher if you were able to meet the demand.” The ad monopoly is funding an infrastructure war it did not choose.

Market Reaction

Shares are up 13.65% year to date, closing at $356.18 on July 2, 2026, from $313.39 to end 2025. Over one year the stock has risen 98.71%. However, momentum has stalled recently, with a one-month stock price change of -0.56%, and Reddit chatter in late June was dominated by a post asking “Why did GOOG stock fall so much?” that drew 335 upvotes and 338 comments in r/investing.

Bear Case

Three data points define the risk. First, the ad engine is uneven. Google Network revenue fell from $7,256 million to $6,971 million year over year, and YouTube’s 11% growth is a step down from the pace investors have priced in.

Second, the cash cost of defending Search is exploding. Free cash flow at $10.116 billion against Q1 capex of $35.67 billion is a compression the ad business has never had to absorb. Chief Business Officer Philipp Schindler flagged upside from Gemini raising ad coverage above the historical 20% of queries, but that upside is the assumption, not the reported outcome.

Third, sentiment is fragile at the top of the AI food chain. Reddit sentiment cratered to 39 (bearish) on June 23 after the departure of AI researchers to competitors, including Gemini co-lead Noam Shazeer to IPO-bound OpenAI. Prediction markets on Polymarket give Alphabet only a 15.5% probability of finishing 2026 as the largest company in the world by market cap, and only a 5.3% probability of holding that spot on July 31, 2026.

Vanguard’s 2026 outlook, meanwhile, warns of the “typical underestimation of creative destruction from new entrants into the sector, which erodes aggregate profitability” in tech-heavy growth stocks. Alphabet earned $132.17 billion in 2025 net income on $402.96 billion in revenue. Defending that base against generative AI substitution now costs a rising share of it.

Bottom Line

Long-term holders should watch two lines: -Google Network’s return to growth (or a second quarter of decline), and free cash flow, which cannot stay near $10 billion a quarter if capex heads toward $190 billion annually and beyond in 2027. Alphabet raised its dividend 5% to $0.22 per share and paid on June 15, 2026, so shareholders are still getting a raise. They are also underwriting the largest infrastructure buildout in the company’s history to protect an ad franchise that is starting to show hairline cracks.

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Alphabet (NASDAQ:GOOG) has quietly become one of the most compelling risk/reward setups in mega-cap tech. Shares trade at $363.62 after a 105.37% one-year rally, yet the stock still carries a trailing P/E of just 28 against 37.9% profit margins.

Our 24/7 Wall St. price target for Alphabet is $441.58, pointing to 21.44% upside over the next 12 months. The recommendation is buy, with high confidence at 90%.

24/7 Wall St. Price Target Summary

From $173 to $363: How Alphabet Got Here

Alphabet has been one of the year’s standout large-cap performers, up 16.03% year-to-date and more than doubling from a 52-week low of $173.38. Shares sit roughly 6% below the 52-week high of $404.23 after a 0.52% pullback over the past month.

The rally is anchored in fundamentals. Q1 FY2026, filed April 29, 2026, delivered EPS of $5.11 against a $2.63 consensus, a 94.10% beat. Revenue of $109.90 billion grew 21.8% year over year, and Google Cloud surged 63% to $20.03 billion with backlog nearly doubling to over $460 billion. That is the fourth straight EPS beat.

Why Bulls See a Breakout Ahead

The bull thesis rests on AI monetization at scale. Gemini is processing 16 billion tokens per minute, up 60% QoQ, while Gemini Enterprise paid MAUs grew 40% quarter-on-quarter. Alphabet now counts 350 million paid subscriptions, and Waymo crossed 500,000 autonomous rides per week.

CEO Sundar Pichai told investors “2026 is off to a terrific start. Our AI investments and full stack approach are lighting up every part of the business.”

Wall Street agrees. The analyst consensus target sits at $426.62, with 44 Buy and 14 Strong Buy ratings versus zero sells. Our bull case scenario sees $459.76 within 12 months, a 26.44% return, if cloud backlog conversion accelerates.

What Could Go Wrong

The bear case starts with capital intensity. Alphabet guided $175-$185 billion in 2026 CapEx, and Q1 free cash flow fell 46.63% YoY to $10.12 billion. If AI infrastructure ROI disappoints, margins compress. Prediction markets are notably cautious, assigning only 15.5% probability that Alphabet is the largest company by year-end, and insiders have logged 179 net-selling transactions.

That FCF compression reflects deliberate reinvestment, with operating margin expanding to 36.1% and operating cash flow rose 26.67%. Regulatory risk, including the $3.5 billion EU competition fine, adds tail risk. Our bear scenario points to $355.92, essentially flat.

Alphabet Price Prediction 2026-2030

Our 24/7 Wall St. price target of $441.58 reflects a buy at 90% confidence. The tipping factor is cloud backlog visibility: $460 billion in signed commitments converts to years of high-margin revenue.

The setup looks constructive if Q2 shows continued Gemini enterprise traction and cloud growth holding above 50%. The thesis weakens if CapEx guidance rises further without a corresponding backlog uplift.

These projections assume Alphabet continues executing on cloud, AI, and Waymo commercialization. Significant upside could come from Gemini monetization breakthroughs, while downside would follow a broad unwind of AI capex enthusiasm.

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Artificial intelligence is no longer just a software story — it has become one of the largest infrastructure buildouts in modern business history. Tech giants are pouring hundreds of billions of dollars into new data centers, networking equipment, advanced semiconductors, and power capacity to secure an edge in the next phase of computing. That investment wave is reshaping more than the technology industry; it is transforming the corporate credit market as well. 

Companies that once relied primarily on their enormous cash reserves are increasingly turning to bond investors to finance their AI ambitions. The strategy makes sense if future profits justify today’s spending. If they don’t, the growing pile of debt could become one of the biggest risks facing the AI boom.

AI Is Rewriting the Corporate Bond Market

According to Bloomberg, six AI-focused companies — Amazon (NASDAQ:AMZN), Alphabet (NASDAQ:GOOG), Meta Platforms (NASDAQ:META), Nvidia (NASDAQ:NVDA), Oracle (NYSE:ORCL), and SpaceX (NASDAQ:SPCX) — have collectively issued $182 billion of investment-grade bonds during 2026. During the same period last year, those companies raised only about $13 billion. That represents an increase of roughly 1,300% in just one year.

The impact extends far beyond Silicon Valley. Those six companies now account for nearly 15% of all U.S. corporate bond issuance so far this year while generating more than half of the overall growth in the investment-grade bond market.

The borrowing reflects one simple reality: AI infrastructure costs hundreds of billions of dollars before it produces meaningful returns.

Bigger Bets Mean Bigger Expectations

Granted, borrowing money isn’t automatically a warning sign. Most of these companies enjoy investment-grade credit ratings, generate billions in annual cash flow, and can access debt markets at lower costs than almost anyone else. Amazon and Alphabet each produce tens of billions of dollars in operating cash flow every year, while Nvidia continues posting revenue growth that few large companies have ever matched.

That said, debt creates expectations. Bloomberg reports that seven corporate bond offerings worth at least $25 billion have already been completed this year, matching the total number recorded during the entirety of 2019 through 2025, combined. Six of those blockbuster offerings came from the AI leaders listed above, with Salesforce (NYSE:CRM) accounting for the remaining transaction.

Ironically, this borrowing boom reflects confidence, not distress. Companies believe AI demand will remain strong enough to justify building infrastructure years before customers fully utilize it. History shows, however, that technological revolutions rarely unfold in a straight line. Demand can outpace expectations for a time before slowing as capacity catches up.

Debt Is Only Dangerous If Growth Slows

This is where investors need to separate headlines from fundamentals. Debt becomes a problem when revenue stalls while interest payments continue rising. That isn’t today’s environment. AI spending continues expanding across cloud computing, enterprise software, semiconductor manufacturing, and digital advertising.

The bigger risk is execution. If AI applications generate enough new revenue to support these investments, today’s borrowing could look remarkably well-timed. Conversely, if companies overbuild data centers or AI adoption develops more slowly than expected, balance sheets could come under greater pressure.

The market is betting on the first outcome. Still, bond markets may have some doubts. Amazon reportedly got something of a cold shoulder for $25 billion it issued this week while S&P Global Ratings downgraded Oracle to the lowest investment-grade rating because of its AI spending binge.

Key Takeaway

In short, the AI boom probably won’t collapse simply because companies are borrowing more money at a record pace. Strong balance sheets, investment-grade credit ratings, and robust cash generation give Amazon, Alphabet, Nvidia, Meta, Oracle, and SpaceX financial flexibility that most companies lack.

Regardless, investors should keep watching one metric above all others: return on AI investment. Borrowing $182 billion only makes sense if those dollars produce growing revenue, expanding free cash flow, and higher earnings over time. As long as those metrics continue moving higher, today’s debt looks more like fuel for the AI race than the beginning of a financial crash. If those returns begin to fade, however, the conversation around AI could change much faster than the bond market expects.

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The “dividend kings”: are companies that have raised dividends for 50 years in a row. They are supposed to be lazy stocks like Colgate-Palmolive (NYSE: CL) and Coca-Cola (NYSE: KO). One is up more than a performance leader of the Magnificent Seven. Alphabet (NASDAQ: GOOG) is up 13%, just above the market. Altria (NYSE: MO), the huge tobacco company, has posted a 24% surge this year.

In a world in which tech companies were the stock market leaders for over two years, many investors want to dodge the risk of AI, which is causing America’s mega tech companies to drain their balance sheets of cash and forcing them to use debt to raise money. The economy overall has been less than stable, with inflation at moderately high levels, employment gains mediocre, and a war in the Middle East. In the meantime, smokers continue to smoke, and Altria has started to move into tobacco products beyond cigarettes.

Altria’s top brand, which accounts for over 90% of its sales, is Marlboro. It used to be listed among the world’s most valuable brands and was sometimes in the top 10. It has been dropped completely from those lists, likely because it is tobacco, which, because of its health effects, is shied away from

Altia’s dividend yield is over 5.5%. It has raised its dividend 60 times in the last 56 years.

Regardless of these benefits, the company remains a difficult investment for many because of its products. The plain fact is that the CDC reports that 480,000 Americans die from smoking every year. Worldwide, the figure is above 8 million. It is the largest preventable cause of death globally. Altria is a “sin stock,” a term usually applied to all tobacco and alcohol companies.

In the first quarter of this year, revenue rose 3.2% to $5.43 billion. Reported diluted EPS more than doubled to $1.30. More than the earnings, investors cheered the guidance. “We reaffirm our expectation to deliver 2026 full-year adjusted diluted EPS in a range of $5.56 to $5.72, representing a growth rate of 2.5% to 5.5% from a base of $5.42 in 2025,” the company said

For those who worry about a market sell-off, Altria is an excellent safe harbor, if you can stand what the company does to make money.

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Alphabet (NASDAQ:GOOG | GOOG Price Prediction) just posted the loudest AI quarter of any megacap. Revenue of $109.90 billion was up 21.8% year over year, cloud grew 63%, and CEO Sundar Pichai declared that “our AI investments and full stack approach are driving performance across our business.”

Shares sit at $364.90 after a 16.43% YTD move. The question I want to answer: can this stock realistically trade at $700 by 2030?

What’s Holding Alphabet Back Right Now

Alphabet is digesting a monster rally. The stock is up 102.68% over one year, but the one-month change is -0.17% and shares trade 6% below the 52-week high of $404.23.

The pause has a clear cause: capital intensity. Q1 CapEx hit $35.67 billion, more than double year over year, and management now guides 2026 CapEx to $180 billion to $190 billion with 2027 to significantly increase. Free cash flow fell 46.63% year over year in Q1. With a beta of 1.247, the stock swings hard when investors question whether AI spend converts to durable returns.

Wall Street Sees 17% Upside. Our Model Sees More

The Street consensus target is $426.62, with 14 Strong Buy, 44 Buy, 7 Hold, and zero Sell ratings. Bullish sentiment is 89%. Our model’s one-year base case is $441.86 (upside of 21.09%), with a bull case of $460.11 and bear case of $356.11.

For 2030 the base case is $605.69 at 90% confidence, with a bull case of $649.17. I think consensus is too static. Quarterly earnings growth of 82% YoY and cloud backlog of $462 billion argue analysts are anchored to a pre-Gemini earnings power that no longer applies.

The Path to $700 Per Share

Reaching $700 from today’s price of $364.90 would require a gain of 91.8%. Spread over four years, that is roughly 17.7% annualized, aggressive but not unprecedented for a compounder posting 20%+ revenue growth.

Now the multiple math. With forward EPS of $15.47, a price of $700 implies a forward P/E of 45x. Our base case of $605.69 already implies 28x, so $700 requires an additional 17x of multiple expansion on today’s EPS base. That only works if EPS itself keeps compounding. It might.

Google Cloud grew 63% in Q1 with backlog nearly doubling sequentially, Gemini API is now processing more than 16 billion tokens per minute, and paid subscriptions crossed 350 million. Pichai calls Alphabet “the only provider in the market that offers this full vertical stack”.

Where Alphabet Trades Today vs Its Earnings Power

At $364.90 against forward EPS of $15.47, the stock trades at roughly 24x forward earnings, hardly demanding for a business growing revenue 22% and operating income 30%.

Shares sit between the 52-week low of $173.38 and high of $404.23. Over the past decade the stock has returned 943.42%. That kind of compounding can extend on continued execution in cloud, search, and Gemini monetization.

Is $700 Realistic? Here’s My Take

$700 by 2030 requires a 91.8% gain, which comes down to two things: Google Cloud continuing its explosive trajectory and search ad revenue defending margins as AI Mode scales. A third helpful item is agentic commerce actually monetizing through the Universal Commerce Protocol.

What derails it is a CapEx cycle where 2027 spend outruns cash generation for too long. My verdict: a stretch, but a credible one. Returns at this level shouldn’t be expected every year, but we’ve outlined the blueprint for how Alphabet could reach $700 in 2030.

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The three most valuable companies in the world, NVIDIA (NASDAQ:NVDA), Apple (NASDAQ:AAPL), and Google parent Alphabet (NASDAQ:GOOG), collectively command a combined market cap north of $13 trillion and sit at the center of the AI capex boom. Each enters the second half of 2026 with a very different risk/reward setup. Here is a Buy, Sell, or Hold verdict on all three at current prices.

NVIDIA at $194.83: Buy the Multiple Compression

NVIDIA trades at $194.83, down 12.46% over the past month and up only 4.59% year to date, a striking pause after a 854% five-year run. The fundamentals kept moving. Q1 FY2027 revenue hit $81.6 billion (+85.2% YoY), data center revenue reached $75.2 billion (+92%), and networking exploded 199%. Non-GAAP gross margin held at 75% and free cash flow reached $48.6 billion.

The valuation is arguably its cleanest setup in years. Forward P/E sits at 23 with a PEG of 0.61. Consensus target is $301.62, and 58 of 61 analysts rate it Buy or Strong Buy. A market leader with accelerating revenue and a compressed multiple is a rare combination, even acknowledging that targets carry no guarantees. At $194.83, NVIDIA is a Buy.

Apple at $308.63: Hold the Premium

Apple trades at $308.63, up 13.74% YTD and 45.86% over the past year. Q2 FY2026 delivered $111.2 billion in revenue (+16.6%), a March-quarter iPhone record on the iPhone 17 lineup, and a Services all-time high of $31.0 billion. Management raised the dividend 4% and authorized a fresh $100 billion buyback. CEO Tim Cook called it “our best March quarter ever”.

The rub is valuation. Apple trades at a premium P/E well above its historical range, at a moment when growth is strong yet not extraordinary. Bulls point to Services, buybacks, and 2.5 billion active devices.

Bears counter with China exposure, hardware cyclicality, and an AI narrative gap versus NVIDIA and Alphabet. Neither case is clearly winning at $308. The September quarter and next iPhone cycle will likely settle the argument. Apple is a Hold.

Alphabet at $356.18: Buy the Full Stack

Alphabet trades at $356.18, up 98.71% over the past year. Q1 2026 revenue reached $109.9 billion (+21.8%), with Google Cloud growing 63% to $20 billion and backlog nearly doubling to over $460 billion. Search revenue still grew 19%, defusing the “AI kills Search” thesis, and Gemini’s paid enterprise monthly active users climbed 40% QoQ.

The cost is a punishing capex program: $35.7 billion in Q1 and guided $175 to $185 billion for 2026, which cut Q1 free cash flow 46.6%. Even so, Alphabet trades at a forward P/E of 25, cheaper than Apple, with a consensus target of $426.62 and 58 Buy or Strong Buy ratings against 7 Holds and zero Sells. At $356, Alphabet is a Buy.

The Bottom Line

Analyst price targets remain one data point among many, and each of these names carries real risk: NVIDIA’s China exposure and $119 billion in supply commitments, Apple’s premium valuation, and Alphabet’s ballooning capex. The story across the trio is straightforward.

NVIDIA offers the cleanest AI-infrastructure exposure at the most reasonable multiple in years. Alphabet bundles Cloud acceleration with a resilient Search franchise at a mid-20s P/E. Apple asks investors to pay a premium for stability rather than acceleration. That produces two Buys and a Hold.

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An ESG-screened equity fund has quietly delivered a big year while sitting out one of the most-traded megacap names on the market. The iShares MSCI KLD 400 Social ETF (NYSEARCA:DSI) climbed 22.29% in the year ending July 2, 2026, riding an AI-heavy roster that includes Alphabet and Intel. What it does not own is Meta Platforms (NASDAQ:META), the social-media giant that many other large-cap funds hold as a core position.

What DSI Actually Is

DSI tracks the MSCI KLD 400 Social Index, a rules-based benchmark that screens U.S. companies against environmental, social, and governance criteria before including them. The fund held 403 positions as of its April 30, 2026 N-PORT filing, with net assets of $5.12 billion. Expense ratio and inception details were not disclosed in the filing used for this piece.

The fund is a broad U.S. large-cap portfolio with an ESG overlay, which is why it looks familiar to anyone who owns an S&P 500 index fund, minus a handful of screened-out names.

Why It Is Up

DSI’s one-year gain came primarily from concentrated exposure to AI infrastructure and megacap software. NVIDIA sits at the top of the book at 14.44% of net assets, followed by Microsoft at 8.58%. Alphabet’s two share classes together account for roughly 6.67% (Class C) and 5.54% (Class A) of the fund, making Google one of DSI’s largest single-company bets. Alphabet shares themselves returned 102.05% over the same one-year window.

Semiconductor exposure did more heavy lifting. Intel is a 1.27% position, and the stock rocketed 450.05% over the trailing year through July 2, 2026. AMD adds another 1.72%, with Lam Research, Applied Materials, and Marvell rounding out a deep chip bench. Tesla, at 3.21%, is another top-10 name.

The Meta Absence

Meta was confirmed absent from DSI’s holdings as of the April 30, 2026 filing. That is a function of the index methodology: the MSCI KLD 400 Social Index applies ESG screens, and Meta has been excluded on governance, privacy, and social-impact grounds. Peers like Alphabet remained in the fund, so the exclusion is deliberate and specific, not a byproduct of sector caps or size limits.

Meta’s disclosed risks include active EU and U.S. regulatory pressure and youth-related litigation with trials scheduled in 2026 that may result in material losses. Those are exactly the categories ESG indices weigh.

Did Skipping Meta Help?

This year, yes. Meta shares fell 18.05% in the year ending July 2, 2026, and are down 11.54% year to date. A market-cap-weighted S&P 500 fund with a full Meta slug would have absorbed that drag. DSI did not.

Meta’s operating results remain strong. The company reported Q1 2026 revenue of $56.31 billion, up 33.1% year over year, with EPS of $10.44 versus a $6.66 consensus. Investors have been more focused on the $125 to $145 billion capex plan for 2026 and ongoing regulatory overhang. The point for DSI holders: they missed both the fundamentals and the drawdown.

Concentration and Caveats

The tradeoff is concentration. With NVIDIA alone at more than 14% of the fund and the top five names near 36.5% of the portfolio, DSI’s fate is tied closely to AI infrastructure sentiment. The fund is down 1.69% over the trailing month even after its strong year, a reminder that ESG screens do not immunize a portfolio from tech-led selloffs.

Past performance does not guarantee future results, and this article is not investment advice. For retirement-focused readers weighing DSI, the useful question is whether an ESG-screened, tech-heavy large-cap portfolio without Meta fits the risk profile already in the account, alongside broader index exposure that may hold the names DSI leaves out.

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Meta Platforms (NASDAQ:META) has spent the year getting punished for the exact strategy that may end up minting money.

Meta runs the largest advertising machine outside of Google, powered by Facebook, Instagram, WhatsApp, Threads, and Messenger, and has quietly become one of the most aggressive infrastructure builders on the planet. Full-year 2025 capex hit $69.7 billion, up from $37.3 billion in 2024, and the 2026 range was pushed to $125 billion to $145 billion. That is Manhattan Project money for GPUs, custom silicon, and data center capacity.

Shares are down 8.7% year to date and 17.4% over the past year, badly lagging the broader market’s advance in 2026. What changed the conversation was a leaked plan showing Meta intends to sell compute externally. That raises the SpaceX comparison bulls have been waiting for.

The SpaceX playbook comes to Menlo Park

SpaceX solved its capex overhang by turning excess capacity into rentable compute. Anthropic agreed to pay $1.25 billion per month for roughly 300 megawatts, and Google (NASDAQ:GOOG) signed a $920 million per month deal for about 110,000 GPUs stretching into mid-2029. That is a $26 billion annual run rate arriving before the S-1 was even dry.

Meta has the same ingredients. It owns the buildout, has already signed $107 billion in new contractual commitments this quarter for multiyear cloud deals and infrastructure purchase agreements, and it is deploying more than one gigawatt of custom silicon developed with Broadcom (NASDAQ:AVGO), alongside a fresh $6.5 billion Samsung foundry deal for its third-generation MTIA accelerator. The core ad engine funds the whole thing. Q1 revenue rose 33% to $56.3 billion at a 41% operating margin, with ad impressions up 19% and price per ad up 12%. Volume and price rising together is rare.

The bear case that keeps working

The bear argument is that this remains a capex black hole. Meta burned 60.2% of its operating cash flow on capex in 2025, Reality Labs is still losing roughly $4 billion per quarter, and the Q1 headline EPS of $10.44 was flattered by an $8.03 billion tax benefit. A single Zuckerberg comment on infrastructure spending sent Applied Optoelectronics down 17% in one session. The market is nervous about ROI slippage.

A depreciation cliff looms. D&A of $18.6 billion trails capex of $69.7 billion by a wide margin. Future earnings absorb a rising drag. Regulatory overhangs in the EU and pending US youth-litigation trials add tail risk that valuation multiples do not always price.

Where patience makes a case

Nobody actually knows if compute-as-a-service materializes into signed contracts this year. Muse Spark is the first model out of Meta Superintelligence Labs, business AI conversations grew from 1 million to 10 million weekly in a single quarter, and yet monetization is still “currently free for most businesses.”

Investors could reasonably wait one or two more prints to see whether third-party revenue arrives before paying up.

What the valuation and ratings show

Meta trades at roughly 21x times trailing earnings and 19x times forward, cheaper than the broader software complex despite 30%-plus revenue growth. The Street consensus target sits at $828.17, or roughly 39.8% upside, on 57 Buy, 6 Hold, and 0 Sell ratings. The ratings distribution is unusually one-sided.

Prediction markets are catching up too. Polymarket assigns 74.5% probability that Meta ends 2026 with a higher valuation than OpenAI, and Deutsche Bank and Morgan Stanley recently flipped their view of Meta’s AI spend from “cash-burning black hole” to “monetization engine.” Meanwhile the stock underperformed the S&P 500 by a wide margin over the past twelve months, which is the setup value investors typically want.

Why $593 is the right entry

At $593, Meta Platforms is a Buy.

The path to price appreciation is bifurcated, and either fork works. If the compute-as-a-service pivot lands even one anchor tenant, Meta reprices as a hyperscaler rather than an ad platform, a multiple expansion story on top of an already-growing earnings base. If it does not, the ad business alone generated $200.97 billion in 2025 revenue at a 41.4% operating margin and continues to compound double digits, which supports the current price without any AI revenue at all.

The entry point matters. Shares sit meaningfully below both the 50-day ($605) and 200-day ($646) moving averages, and the multiple has compressed while earnings have expanded. That is the definition of a re-rating candidate, not an expensive one. The thesis breaks if Reality Labs losses widen materially, if Q2 revenue misses the $58 billion to $61 billion guide, or if promised third-party compute deals fail to materialize by year-end. Those are watchable, not fatal.

The clearest reason to own Meta at this price is that you are getting the ad business at a discount and the AI infrastructure optionality for free.

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Borrowing from Barron’s, the newspaper reported that Deutsche Bank’s Adrian Cox, concerned about the IPO pace of OpenAI and Anthropic, wrote, “They and their peers need to strike while the iron is hot to secure computing power, distribution and capital.” He is worried that if investors begin to lose patience with AI’s revenue prospects, access to capital will shrink.

A large number of investors would disagree, and they drive up valuations of these two private companies to levels close to $1 trillion each. The Cox argument goes to the heart of the pessimistic view that AI companies will never make enough money to justify the use of recently invested capital and the huge valuations of companies still in the private sector. The counterargument is that AI is the most important scientific advance in human history, and that its use will continue to expand at a rate that was unimaginable just a few years ago.

And that is, and has been, the key to the rise of valuation. The value of the company at the center of the industry is chip maker Nvidia (NASDAQ: NVDA). Its stock is up only 5% this year, which is shy of the S&P’s 9% advance. Its five-year advance is 864%, compared with the S&P’s 72% surge over the same period. Wall St.’s sentiment has changed. Even AI darling Alphabet (NASDAQ: GOOG), creator of Gemini, is up only 14% this year. It is the consensus winner for the adoption of AI models.

It is now an old debate. The AI sector investment in data centers is out over its skis. The arguments are so well-traveled that it is not worth further debate. However, this would be a mistake. If AI is the largest advance in the history of science, the data center investment will be looked back on as modest, and perhaps too conservative. The valuation of Anthropic and OpenAI will have been too low. It is hard to find, at least recently, a larger clashing of views within the wider investment community.

Historians will look back on three years in the history of AI’s advance. Those will be last year, this year, and 2027. Either the future of mankind will have been radically altered, or the dotcom collapse will look like a minor drop in markets.

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