A Message From Chaikin Analytics

Editor's Note: Marc Chaikin's last major recommendation for our readers drew a huge response. Today he's back with a new #1 retirement pick — and he's sharing the details free, no email or credit card required.

Dear Reader,

In 2014, I recommended my readers put a big chunk of their retirement money into one stock: Nvidia.

Anyone who followed that recommendation is up more than 45,000% at this point.

I've spent 60 years on Wall Street. I built one of Wall Street's most well-known tools – Chaikin Money Flow indicator. Even Jim Cramer said he's learned never to bet against me given my decades long track record of picking stock market winners.

Now I've unearthed what I believe could be an even better retirement stock for the years ahead — and today I'm going to share the details, totally free of charge. (Click here to get the specifics.)

Here's the single biggest reason why.

This company is sitting on three fast-growing businesses, and each one could be spun off into a separate publicly traded company. If that happens — and I believe the next 12 to 24 months are when it could — anyone holding this stock beforehand could have those spinoff shares deposited into their account automatically.

In other words, one ticker today could become three tickers tomorrow. That's the kind of setup that almost never appears in a stock this size.

And Wall Street still considers this company a "dark horse" in the AI race.

It shouldn't when its autonomous vehicle division is already being called the "undisputed leader" against Tesla. And it's streaming service has 10X greater reach than Netflix.

Yet most investors have no idea it's even in those businesses.

The market is pricing this as one ordinary company instead of three extraordinary ones.

There's also a dividend — which is rare for a high-growth technology company. Most AI names pay nothing at all.

In my new presentation, I explain everything you need to know — including why a major event that just occurred in AI's frontier labs put this company at the top of my buy list.

That's why I believe this might be the greatest retirement stock in America right now.

Click here to get the details of this amazing stock, totally free of charge.

No credit card, no email required.

Sincerely,

Marc Chaikin
Founder, Chaikin Analytics

P.S. A high-growth tech stock that pays a dividend is a rarity — this one is the exception. To be in line and claim your share of the next $2.6 billion payout, you need to own at least one share by September 4th. Click here so you don't miss the cutoff.

Meta Platforms’ Petal Cable Puts Corning at the Center of AI’s Bandwidth Boom

Written by Jeffrey Neal Johnson. Article Published: 9/22/2026.

As artificial intelligence (AI) models scale from billions to trillions of parameters, attention often centers on the power and size of silicon-based processing chips and graphics processing units. However, silicon faces a quieter physical barrier: data-transfer speed.

Modern distributed training clusters cannot operate effectively when network links become congested by heavy data traffic. On Sept. 21, 2026, that part of the digital landscape shifted when Meta Platforms (NASDAQ: META) unveiled Petal, the first petabit-scale transoceanic subsea cable.

Spanning roughly 7,000 kilometers between the United States and France, the project marks a clear inflection point in the communications sector. Hyperscale software leaders are bypassing traditional commercial carriers to construct private, global utility networks.

For investors tracking the next stage of infrastructure spending, this structural shift highlights opportunities across both software architects and specialized physical-layer equipment providers like Corning Incorporated (NYSE: GLW). The way this deep-sea pipeline connects to terrestrial data centers shows how capital spending is shifting from silicon-based chips to glass.

Ocean Floor Optics: Meta's Subsea Utility Play

Traditional subsea cables transfer data at terabits per second. Petal changes the equation by targeting one petabit per second across transoceanic distances, doubling the bandwidth of existing subsea links. To accomplish this without doubling the cable's physical bulk or energy requirements, Meta Platforms adopted two-core optical-fiber technology alongside specialized partners such as NEC Corporation and Sumitomo Electric Industries. The cable is scheduled to enter commercial service in 2029.

Why would an internet and software company spend substantial capital laying glass cables across the ocean floor? The answer lies in the distributed nature of frontier AI models. Synchronizing model weights across geographically separated facilities requires low latency and high data throughput. Relying on public commercial telecommunications carriers introduces bandwidth throttling, unpredictable transit pricing and security risks. By constructing private subsea conduits, Meta Platforms insulates its generative AI development from external transit constraints.

Meta Platforms' balance sheet provides the foundation for this utility-scale deployment. Meta generates about $60 billion in annual net income and more than $41 per share in operating cash flow. With a conservative debt-to-equity ratio near 0.32, the company can self-fund multiyear capital projects through ongoing operating cash flow. Trading at around 28 times trailing earnings and roughly 26.5 times forward earnings, Meta stock offers investors a price-to-earnings-growth ratio near 1.2. This represents a reasonable entry valuation for an enterprise transforming digital advertising revenue into proprietary global physical infrastructure.

Corning Holds the Glass Keys

Subsea fiber lines cannot resolve bandwidth constraints on their own. Once a petabit-scale pipeline reaches a coastal landing station, that volume of data must travel inland to high-performance computing clusters without incurring latency penalties.

At the campus level, data processing faces another physical hurdle: copper wiring reaches its signal-loss limits at extreme frequencies. High-density optical fiber must take over, running from landing hubs directly to server switches and individual processor racks.

This physical-layer demand channels capital to specialized materials-science manufacturers. Corning serves as a primary backbone provider for domestic data center scale-outs. Meta Platforms established a multiyear supply agreement valued at up to $6 billion with Corning to supply optical fiber, cabling and connectivity hardware across its domestic facilities. The contract positioned Meta Platforms as the anchor customer for the manufacturing expansion Corning completed in Hickory, North Carolina.

Commercial momentum for Corning extends across broader network partnerships. The optical specialist recently finalized an agreement with Verizon (NYSE: VZ) to supply more than 80 million fiber miles through 2032 to modernize carrier backhaul routes.

At the component level, Corning demonstrated 1060 nm optical die-to-die connectivity alongside Qualcomm (NASDAQ: QCOM) and Lumentum (NASDAQ: LITE) at the ECOC 2026 conference. This architecture replaces intra-rack copper connections with high-density optical waveguides, enabling processors to communicate across server racks at optical speeds. Through its Springboard roadmap, Corning management targets $10 billion in enterprise optical revenue by 2030, supported by operating margins in its optical communications division that have expanded past 20%.

Balancing High Multiples With Execution Realities

While the strategic direction of the optical network buildout is clear, investors must weigh fundamental multiples and operational risks before deploying capital.

Corning has gained about 81% year to date, driving its trailing price-to-earnings ratio to around 73, with a forward multiple of roughly 48. This elevated valuation prices in operating leverage under its long-term growth plan. If carrier capital expenditures soften or manufacturing input costs rise, Corning could experience temporary margin compression. Long-term supply contracts and customer-funded plant expansions provide steady revenue visibility for its core optical business.

Meta Platforms' valuation appears more modest relative to historical tech multiples, but the business carries distinct operational risks. Meta missed consensus earnings estimates in its July earnings report by $1.01 per share despite 28% top-line revenue growth, illustrating how heavy research and capital expenditures can weigh on near-term profitability. Transoceanic infrastructure also faces complex regulatory hurdles, from environmental permits to international landing-station approvals and subsea maintenance logistics, before Petal enters service in 2029.

Two Roads, One Cable: Positioning Portfolios for the Bandwidth Boom

Investors assessing the expansion of the physical AI grid can view the opportunity through two distinct corporate profiles:

• The Ecosystem Architect: Meta Platforms provides exposure to a digital advertising cash engine that self-funds sovereign infrastructure, creating long-term structural cost advantages for decentralized model training and inference.

• The Component Enabler: Corning Incorporated operates as a specialized equipment supplier, converting capital spending from software titans and telecom carriers into a multiyear optical product backlog.

Investors seeking to participate in this physical network transformation may want to monitor quarterly capital expenditure updates from hyperscale technology firms alongside operating margins in Corning's optical segment. Cautious investors might prefer to wait for price consolidation following recent stock rallies before building new long-term positions in either company.

This ad is sent on behalf of Chaikin Analytics, 201 King Of Prussia Rd., Suite 650, Radnor, PA 19087. If you would like to optout from receiving offers from Chaikin Analytics please click here.

A Message From Brownstone Research

Editor’s Note: Jeff Brown is the former tech executive who picked Nvidia in 2016 before it jumped 37,000% higher. He’s now recommending another AI stock that’s the same size Nvidia was 10 years ago. He calls it “Elon Musk’s One Stock Retirement Plan” because he believes Elon Musk is about to create massive demand for this company’s patented technology. Click here to see the details or read more below.

Dear Reader,

Sometimes you come across an opportunity so explosive…

That it has the potential to turn a small stake…

Into a six figure and in some rare cases even a seven-figure nest egg…

Like it happened when I picked Nvidia in 2016.

It jumped high enough to turn $5,000 into an entire retirement nest egg of $1,895,000.

And while I can’t guarantee you’ll become a millionaire...

I think this little-known AI stock is one of those opportunities…

Which is why I call it “Elon Musk’s One Stock Retirement Plan.”

Now, if this idea of retiring with a single stock sounds crazy to you…

You should know that some of the best investors in the world believe that the idea of diversification is a little overrated.

Stanley Druckenmiller said…

“You don’t get rich by diversifying into 50 mediocre assets. You get rich by finding two or three asymmetric home runs.”

I believe this stock is an asymmetric home run.

Or listen to legendary investor Peter Lynch. He said…

“I would own one stock if I can find one great stock.”

Even Warren Buffett said…

“Diversification is protection against ignorance. It makes little sense if you know what you are doing.”

Click here now and I’ll show you why I believe this stock might be the only one you need to retire.

Jeff Brown,
Founder & CEO, Brownstone Research

P.S. If I could buy only one stock, this would be it… it might just be the perfect tech stock.

It’s a leader in an AI breakthrough that’s protected by 150 patents…

It’s a small company, unknown to most people… still in the initial phase of exponential growth…

Plus, it has a near term catalyst that could send shares skyrocketing… starting November 11.

Why Equal-Weight Funds Hide A Yield Curve Catch

Written by Jeffrey Neal Johnson. Article Posted: 9/27/2026.

Investors rotating out of the broad market to escape concentration risk in top-heavy technology equities may walk straight into a different macroeconomic risk. With a handful of mega-cap names dominating the index, the instinct to diversify through an equal-weight strategy seems logical.

However, adopting this approach mechanically trades technology-sector exposure for greater interest-rate sensitivity, leaving portfolios vulnerable to Treasury yield spikes and margin compression. Understanding how the structural differences between traditional and equal-weight funds influence performance in shifting monetary environments can help investors align their index exposure with current macroeconomic realities. Index-construction mechanics can alter risk profiles more than many investors realize, making the underlying data essential to proper portfolio positioning.

From Tech Volatility to Treasury Yield Vulnerability

The SPDR S&P 500 ETF Trust (NYSEARCA: SPY) holds roughly a 48% aggregate allocation to technology and technology-adjacent services. The fund has approximately $818.87 billion in assets under management, and its performance is increasingly influenced by the capital expenditure cycles of artificial intelligence (AI) and consumer hardware. Investors often turn to the Invesco S&P 500 Equal Weight ETF (NYSEARCA: RSP) to reduce that technology exposure to about 16%.

While this rebalancing provides greater diversification, it increases exposure to capital-intensive sectors such as financials, which account for approximately 19% of the portfolio. This fundamental shift changes the portfolio's behavior. Investors are no longer holding a straightforward proxy for the broader U.S. economy, but rather a distinct basket of equities that responds differently to macroeconomic headwinds.

The Trillion-Dollar Top-Heavy Reality

The traditional market-cap-weighted index carries significant concentration risk. Apple Inc. (NASDAQ: AAPL) and NVIDIA Corporation (NASDAQ: NVDA) have a combined weight approaching 15.7% of the standard index. The top four holdings alone account for nearly 25% of the SPDR S&P 500 ETF Trust, creating an environment in which a localized correction in specific technology names can have an outsized impact on the broader portfolio.

Valuations for these mega-cap leaders remain elevated. Apple trades at a trailing price-to-earnings ratio of about 38, while NVIDIA trades near 28. Recent filings show insiders at both companies reducing their exposure. An NVIDIA executive recently liquidated approximately $6.7 million in stock, while an Apple senior vice president offloaded more than 6,000 shares in September 2026. These transactions may reflect routine diversification, but they also highlight profit-taking at elevated valuation levels.

Because the SPDR S&P 500 ETF Trust charges a highly efficient net expense ratio of 0.09%, investors essentially pay a premium in single-stock risk rather than management fees. Its top-heavy structure means broad-market returns rely heavily on the continued earnings execution of a small group of dominant technology hardware and software providers.

The Mid-Cap Value Fund in Disguise

To mitigate concentration risk, the equal-weight approach caps individual equity exposure at roughly 0.20% to 0.25% between quarterly rebalances. The Invesco S&P 500 Equal Weight ETF carries a slightly higher net expense ratio of 0.20% to support this mechanical adjustment, shifting the fund from a broad-market tracker toward a mid-cap value vehicle.

The equal-weight fund's fundamental profile also shifts away from growth. The portfolio trades at a noticeable discount, with a price-to-earnings ratio near 20.6 compared with the market-cap-weighted fund's multiple of 25.5. It also provides a higher dividend yield of roughly 1.52% compared with the SPDR S&P 500 ETF Trust's 0.99%, reflecting its structural bias toward value and income-producing sectors.

Investors seeking an evenly distributed version of the broad market are actually buying a fundamentally different asset class. This value-tilted portfolio carries a distinct set of macroeconomic vulnerabilities that become particularly apparent when monetary policy tightens or inflation expectations rise.

The Tug-of-War Between Yields and Margins

An equal-weight strategy's vulnerability can surface during periods of rising interest rates. Sectors such as utilities, financials and real estate require steady capital expenditures and rely heavily on favorable debt markets to maintain operating margins.

When the 10-year Treasury yield spikes, borrowing costs can rise disproportionately for the smaller constituents of the Invesco S&P 500 Equal Weight ETF. Higher capital costs can compress returns while also competing directly with the dividend yields offered by value-oriented sectors, making those yields less attractive relative to government bonds.

Mega-cap technology components are largely insulated from rising borrowing costs. Apple generates about $112 billion in net income, while NVIDIA produces approximately $120 billion. NVIDIA operates with a net margin of about 63.6% and a return on equity near 96%. These cash-rich balance sheets allow the companies to self-fund operations and execute substantial shareholder-return programs, including Apple's $100 billion buyback authorization.

Higher rates do not directly impair Apple's or NVIDIA's ability to fund research and development. In a rate-driven sell-off, the cash generation of top-heavy technology stocks can act as a defensive asset, while the equal-weight portfolio may absorb more of the macroeconomic shock because of its greater exposure to debt-dependent sectors.

Strategic Portfolio Positioning for Q4

Navigating this dynamic requires tracking specific macroeconomic indicators rather than reacting solely to technology valuations. The primary signals for allocating between these two index strategies are the 10-year Treasury yield and Federal Reserve dot-plot projections. A steepening yield curve or hawkish monetary policy commentary can increase capital-cost pressures for debt-reliant sectors, shifting the fundamental advantage back to the cash-rich balance sheets of technology leaders.

A flattening yield curve paired with valuation exhaustion in the technology sector could favor the broad-market diversification offered by an equal-weight strategy. If artificial intelligence capitalization multiples compress or consumer hardware cycles falter, the traditional index could suffer disproportionately because of its top-heavy construction. During a localized technology correction, an equal-weight portfolio may act as a shock absorber, relying on its broad distribution across 500 constituents to weather the volatility.

Investors evaluating their broad-market exposure must weigh their outlook for monetary policy against their tolerance for single-stock concentration. Those expecting sustained higher borrowing costs and elevated Treasury yields might consider maintaining traditional market-cap exposure to benefit from market leaders' cash-rich balance sheets. Cautious investors anticipating a broader technology pullback might consider initiating a position in an equal-weight fund if yield-curve pressures begin to subside, helping insulate their portfolios from both concentration risk and rate shocks.