Category: Tech

Why Are AI Stocks Falling? Nvidia, CoreWeave Slide as Investors Question the AI Boom

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Artificial intelligence stocks are facing renewed selling pressure as investors question whether the enormous spending fueling the AI boom can translate into sustainable profits. Shares of Nvidia (NASDAQ: NVDA), CoreWeave (NASDAQ: CRWV), and other AI-linked companies declined Thursday, October 15, as rising borrowing costs and concerns about debt-financed infrastructure investments weighed on technology stocks.

The selloff has spread across the semiconductor and cloud computing industries, raising questions about the sustainability of one of Wall Street’s most closely watched investment trends.

CoreWeave has emerged as a focal point of investor concerns. The AI cloud computing company, which provides access to high-performance Nvidia processors, has relied heavily on borrowing to expand its data center infrastructure and meet growing demand for computing power.

However, the company’s substantial debt obligations have attracted increased scrutiny as interest rates remain elevated. CoreWeave shares fell more than 15% Wednesday and continued declining during Thursday’s trading session, while yields on some of its corporate bonds climbed to distressed levels.

The broader technology sector has also experienced significant losses. Nvidia shares fell approximately 3% during Thursday morning’s trading, while Advanced Micro Devices (NASDAQ: AMD) and Micron Technology (NASDAQ: MU) recorded even steeper declines.

The Philadelphia Semiconductor Index has lost more than $1.6 trillion in market capitalization over six trading sessions, illustrating how quickly investor sentiment toward AI-related investments has shifted.

Much of the concern centers on the extraordinary amount of capital being committed to artificial intelligence infrastructure.

Major technology companies are investing billions of dollars in data centers, advanced processors, networking equipment, and energy infrastructure to support increasingly sophisticated AI models. While demand for AI computing remains substantial, investors are beginning to examine whether future revenue will justify these expenditures.

Higher interest rates have added another layer of uncertainty. Recent inflation reports have increased expectations that the Federal Reserve could raise borrowing costs further, potentially making debt-financed technology projects more expensive.

For companies dependent on external financing, higher interest expenses can reduce profitability and complicate expansion plans.

The situation also highlights a growing distinction between companies supplying AI infrastructure and those financing its development. Semiconductor manufacturers can generate revenue from equipment sales, while data center operators must recover substantial upfront investments through long-term customer contracts.

Despite the market volatility, the AI industry’s underlying growth opportunities have not disappeared. Businesses continue adopting artificial intelligence for automation, data analysis, cybersecurity, and enterprise software, supporting demand for computing infrastructure and specialized technologies.

However, investors are increasingly distinguishing between companies demonstrating sustainable revenue growth and those relying on aggressive spending assumptions.

For small-cap and emerging technology companies, the changing market environment could create both challenges and opportunities. Businesses developing AI applications, semiconductor components, or infrastructure services may benefit from continued adoption, but tighter financing conditions could make raising capital more difficult.

Companies with established customers, recurring revenue, and manageable debt levels may be better positioned to navigate heightened market scrutiny.

The recent selloff does not necessarily signal the end of the AI investment cycle. Instead, it suggests that investors are becoming more selective about how companies finance growth and when their investments are expected to generate meaningful returns.

As artificial intelligence continues reshaping the technology industry, the next phase of the market’s evolution may depend less on spending announcements and more on profitability, cash flow, and financial discipline.

Proofpoint to Buy Varonis (VRNS) for $6.3B in Major AI Security Deal

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Cybersecurity giant Proofpoint has announced plans to acquire Varonis Systems (NASDAQ: VRNS) in an approximately $6.3 billion all-cash transaction, marking one of the largest cybersecurity deals of 2026. The acquisition reflects growing demand for advanced data protection as artificial intelligence transforms how businesses operate and manage sensitive information.

Announced October 15, the agreement will bring together Proofpoint’s expertise in email security, threat prevention, and human-centric cybersecurity with Varonis’ capabilities in data security, access management, and AI protection. The combined company aims to create a comprehensive platform capable of addressing increasingly sophisticated cyber threats.

Under the agreement, Varonis shareholders will receive $49.75 per share in cash, representing a 52% premium over the company’s June 22 closing price of $32.71, before initial acquisition speculation emerged.

The transaction values Varonis at approximately 8.4 times trailing twelve-month revenue and 53 times free cash flow, demonstrating the substantial valuations investors are assigning to companies positioned within the rapidly expanding AI security market.

Proofpoint, owned by private equity firm Thoma Bravo, will finance the transaction through committed equity and debt financing. Ontario Teachers’ Pension Plan will also invest in Proofpoint as part of the deal.

The acquisition is expected to close during the first half of 2027, pending shareholder and regulatory approvals. Following completion, Varonis will become privately held and its shares will cease trading on the Nasdaq.

The acquisition comes as businesses increasingly integrate generative AI and autonomous AI agents into everyday operations, creating new vulnerabilities involving sensitive corporate information.

AI-powered systems can access enormous amounts of enterprise data, raising concerns about unauthorized access, information leakage, and increasingly sophisticated cyberattacks.

Varonis specializes in identifying sensitive data, monitoring access permissions, and detecting suspicious activity across cloud and enterprise environments. Proofpoint brings established capabilities in protecting employees, communications, and digital interactions.

Combining these technologies could allow organizations to better understand who—or what—can access critical information while strengthening defenses against emerging AI-driven threats.

The companies expect their combined operations to serve more than 16,000 enterprises and millions of organizations worldwide.

The transaction underscores a broader consolidation trend across cybersecurity, where larger providers are acquiring specialized technologies to deliver integrated security platforms.

For investors, the acquisition highlights the strategic importance of data protection as enterprise AI adoption accelerates.

Rather than relying on numerous independent security vendors, businesses are increasingly seeking unified solutions capable of protecting employees, cloud infrastructure, sensitive information, and AI applications.

This shift could create additional acquisition opportunities for smaller cybersecurity companies offering differentiated technologies in data governance, identity protection, and AI threat detection.

However, premium valuations also introduce execution risks. Proofpoint must successfully integrate Varonis’ technology, retain customers, and demonstrate that its expanded platform delivers meaningful competitive advantages.

Proofpoint’s $6.3 billion acquisition of Varonis illustrates how artificial intelligence is reshaping cybersecurity investment priorities.

As enterprises deploy increasingly autonomous AI systems, protecting the information those systems access is becoming essential.

For the broader technology sector, the deal reinforces a significant investment theme: the growth of artificial intelligence is creating opportunities not only for companies developing AI, but also for those securing it.

Whether the acquisition delivers its anticipated benefits will depend on successful integration and continued enterprise demand for comprehensive AI security solutions.

Release – Snail Games Subsidiary Interactive Films Launches The Fame Game II: L.A. Heartbreaker, Expanding Its Interactive Hollywood Drama Franchise

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October 15, 2026 at 8:30 AM EDT

CULVER CITY, Calif., Oct. 15, 2026 (GLOBE NEWSWIRE) — Snail, Inc. (Nasdaq: SNAL) (“Snail Games” or the “Company”), a leading global independent developer and publisher of interactive digital entertainment, today announced the launch of The Fame Game II: L.A. Heartbreaker, the next installment in its interactive entertainment franchise developed and published by its subsidiary Interactive Films LLC.

The Fame Game II: L.A. Heartbreaker builds on the foundation established by The Fame Game: Welcome to Hollywood with a new story centered around identity, ambition, romance, and the high-stakes social world of Los Angeles. Filmed on location throughout Los Angeles by a professional production team with Hollywood film and television experience, the game incorporates feature-film-inspired direction, cinematography, lighting, costume, makeup, and production design to bring its setting to life.

The new installment follows He Shuhan, an ordinary international student who finds himself drawn into Los Angeles’ high society after assuming the identity of a wealthy heir. To maintain the deception, players must navigate five dangerous relationships and make hundreds of choices that shape those relationships, the story’s progression, and potential outcomes. Depending on the decisions made, players may preserve the illusion, lose everything, or uncover relationships that challenge the identity they have created.

Interactive Films expanded audience participation in the development of The Fame Game II: L.A. Heartbreaker through a global casting initiative that drew in more than 200,000 votes that helped shape the game’s cast. The live-action production stars Zhong Chenyao as Ayaka alongside four additional actresses, whose performances bring the game’s central relationships and branching narrative to life.

The expansion of The Fame Game series reflects continued interest in interactive entertainment built around character-driven storytelling and player agency. Relationship-focused games have increasingly moved beyond traditional dating-simulation formats, incorporating cinematic presentation, branching narratives, and community-driven experiences that allow players to engage with stories through their own decisions.

The Fame Game II: L.A. Heartbreaker advances Interactive Films’ combination of accessible interactive fiction and live-action entertainment. The title is designed to encourage replayability as players explore different relationships, choices, and consequences across multiple possible outcomes.

Play The Fame Game II: L.A. Heartbreaker on Steam

For creators interested in covering The Fame Game II: L.A. Heartbreaker, please reach out to [email protected]

The Fame Game II: L.A. Heartbreaker | Press Kit

About Snail, Inc.
Snail, Inc. (Nasdaq: SNAL) is a leading, global independent developer and publisher of interactive digital entertainment for consumers around the world, with a premier portfolio of premium games designed for use on a variety of platforms, including consoles, PCs, and mobile devices. For more information, please visit: https://snail.com/.

About Interactive Films LLC 
Interactive Films (IF), a film and media subsidiary of Snail, Inc., was founded with the goal of reaching new video audiences, engaging enthusiastic viewers, and telling stories across various formats. IF is also the catalyst behind SaltyTV, a specialized film application designed to produce and showcase compelling short-form vertical content. The SaltyTV app is available for download from the iOS App Store and the Google Play Store. For more information, please visit: https://interactive-films.com/.

Forward-Looking Statements
This press release contains statements that constitute forward-looking statements. Many of the forward-looking statements contained in this press release can be identified by the use of forward-looking words such as “anticipate,” “believe,” “could,” “expect,” “should,” “plan,” “intend,” “may,” “predict,” “continue,” “estimate” and “potential,” or the negative of these terms or other similar expressions. These forward-looking statements include information about possible or assumed future results of Snail Games’ business, financial condition, results of operations, liquidity, plans and objectives. Forward-looking statements appear in a number of places in this press release and include, but are not limited to, statements regarding the continued interest in interactive entertainment built around character-driven storytelling and player agency; further developing a format that combines the accessibility of interactive fiction with live-action entertainment; using SaltyTV to produce and showcase compelling short-form vertical content; and assumptions underlying any of the foregoing. Further information on risks, uncertainties and other factors that could affect Snail Games’ financial results and business include Snail Games’ ability to develop new intellectual properties and expand existing franchises through its proprietary development capabilities; Snail Games’ ability to retain its key employees or maintain its Nasdaq listing; and the risks that are included in its filings with the Securities and Exchange Commission (the “SEC”) from time to time, including its annual reports on Form 10-K and quarterly reports on Form 10-Q filed, or to be filed, with the SEC. You should not rely on these forward-looking statements, as actual outcomes and results may differ materially from those expressed or implied in the forward-looking statements as a result of such risks and uncertainties. All forward-looking statements in this press release are based on management’s beliefs and assumptions and on information currently available to Snail Games, and Snail Games does not assume any obligation to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.

Investor Contact:

John Yi and Steven Shinmachi
Gateway Group, Inc.
949-574-3860
[email protected]

SKYX Platforms (SKYX) – Transformative Acquisition Completed

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Thursday, October 15, 2026

Joe Gomes, CFA, Managing Director, Equity Research Analyst, Generalist , Noble Capital Markets, Inc.

Refer to the full report for the price target, fundamental analysis, and rating.

Deako. SKYX Platforms has closed the merger with Deako, Inc., which we first covered in our September 11th report. As we noted then, the merger enables SKYX to offer an A-to-Z AI and smart home plug-and-play solution for homes and buildings. The merger significantly expands SKYX’s addressable market and also opens additional avenues of cross-selling opportunities for both companies, in our view.

New Pipeline Details. SKYX noted the combined Company pipeline is over 4 million units with an expected average selling price of approximately $50/product, suggesting a $200 million+ current pipeline. With cross-selling opportunities, SKYX’s full product line is expected to create an opportunity to increase Deako’s revenue per home by up to fivefold; we expect to see strong pipeline growth going forward. And there is the opportunity to cross-sell Deako products into SKYX’s existing projects.


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Apple Reclaims $5 Trillion Valuation as AI Expansion and Strong iPhone Demand Fuel Growth

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Apple (NASDAQ: AAPL) has once again surpassed a $5 trillion market capitalization, becoming only the second publicly traded company to reach the milestone as strong iPhone sales, expanding artificial intelligence capabilities, and renewed investor confidence continue to drive its valuation higher.

Shares climbed more than 1% on Wednesday, October 14, pushing Apple’s market value above the historic threshold. The company initially reached $5 trillion in late July, less than a year after surpassing $4 trillion in October 2025.

Apple shares have gained approximately 26% year to date and nearly 40% over the past 12 months, reflecting investor optimism surrounding the company’s hardware ecosystem and evolving AI strategy.

A significant contributor to Apple’s recent performance has been renewed consumer demand for iPhones, supported by an upgrade cycle throughout 2026.

The company’s ability to maintain customer loyalty while introducing new products has helped reinforce its position in the global smartphone market.

Apple is also preparing additional hardware launches, including its anticipated iPhone Duo foldable smartphone, expected to carry a $1,999 price tag. The premium device could help increase average selling prices and expand Apple’s presence in the growing foldable smartphone category.

Other anticipated products include a touchscreen MacBook and updated iPads, potentially creating additional revenue opportunities across the company’s hardware portfolio.

However, rising memory and storage costs remain a challenge. Supply constraints have contributed to higher device prices, raising questions about whether consumers will continue upgrading at the same pace.

Apple’s expanding artificial intelligence capabilities have become another important driver of investor sentiment.

After facing criticism for delays in rolling out features associated with Apple Intelligence, the company has accelerated development through software updates and partnerships.

Its collaboration with Google provides access to AI models that support Apple’s broader efforts to improve Siri and introduce more advanced capabilities across its devices.

The company is also expanding beyond smartphones and computers into connected home technology.

Apple recently introduced HomeView, a smart home hub designed to integrate its AI-powered Siri assistant into household devices. The product represents an effort to compete more directly with established smart home platforms from Amazon and Google.

The initiative could create additional opportunities in connected devices, automation, and AI-enabled consumer services.

Apple’s valuation highlights the growing importance investors place on companies capable of combining artificial intelligence, hardware innovation, and recurring technology services.

While the milestone primarily reflects Apple’s market position, its continued expansion could also influence smaller companies operating within the broader technology ecosystem.

Businesses developing AI applications, semiconductor technologies, connectivity solutions, and smart device components may benefit from increased industry investment and demand for specialized capabilities.

At the same time, Apple’s scale demonstrates the competitive challenges smaller technology companies face when entering markets dominated by established platforms.

Despite its historic valuation, Apple faces questions surrounding premium device pricing, competitive pressure, and its ability to translate AI investments into sustained revenue growth.

Investors will be watching upcoming product launches, consumer demand, and the financial impact of Apple’s expanding AI capabilities.

For the broader technology sector, Apple’s return to the $5 trillion milestone underscores how innovation, ecosystem strength, and long-term growth expectations continue to shape market valuations.

IonQ to Acquire Zero Trust Security Firm Elisity in Deal Valued at Up to $1.3 Billion

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IonQ (NYSE: IONQ) announced on Oct. 12 that it has agreed to acquire Elisity, a Zero Trust cybersecurity company, in an all-stock transaction valued at up to $1.3 billion. The deal pairs IonQ’s post-quantum cryptography (PQC) and quantum key distribution (QKD) technology with Elisity’s enterprise network security platform, and it extends IonQ’s push beyond quantum computing into security.

Founded in 2019, Elisity helps organizations apply Zero Trust principles to users, devices, workloads, AI agents, and other non-human identities. Its IdentityGraph product pulls together identity, asset, and risk data to set least-privilege access policies, letting teams simulate a policy before enforcing it and restrict each identity to only the communications it needs. IonQ says Elisity has more than 100 customer deployments, including a growing number of Fortune 500 companies, and has roughly doubled both revenue and customers year over year with no churn among deployed customers. IonQ also points to the microsegmentation market, which it sizes at more than $10 billion with double-digit annual growth.

IonQ is pitching a single security stack for two problems: attacks happening now, including those involving AI agents, and the longer-term risk that quantum computers eventually break today’s encryption. The companies plan to extend IdentityGraph with cryptographic inventory and risk information. IonQ CEO Niccolo de Masi said “Q-Day” is arriving faster than predicted, and compared the deal to IonQ’s earlier SkyWater Technology acquisition, which added chip design and fabrication capabilities. The announcement also cites a June 22, 2026 White House executive order and other federal directives pushing agencies toward PQC migration.

IonQ says its quantum-safe communications networks are already deployed in Switzerland, Poland, Romania, and Slovakia, and that multiproduct revenue grew 40% year over year in the second quarter of 2026. Elisity’s customer base and CISO relationships would give IonQ new channels to sell PQC, QKD, and quantum computing to enterprise and government buyers.

The transaction includes up to $150 million in earnout payments tied to Elisity’s performance. The number of IonQ shares issued will be set at closing using the 20-day volume-weighted average price before closing, with the price floored at $33.07 and capped at $49.61 per share. The deal is expected to close in the fourth quarter of 2026, subject to customary conditions including regulatory approval. Elisity will continue operating under its current leadership, including CEO James Winebrenner.

Closing risk, customer and employee retention, and integration are the main variables, all flagged in IonQ’s own forward-looking statements. Investors should also watch whether IonQ can turn the cross-sell story into reported revenue, and how the share issuance affects dilution given the price collar.

FCC Clears SpaceX to Launch 15,000 Direct-to-Phone Satellites, Putting Wireless Carriers on Notice

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The FCC approved SpaceX on Wednesday, Oct. 7, to launch and operate up to 15,000 next-generation Starlink Mobile satellites that connect directly to ordinary smartphones. SpaceX has about 650 mobile satellites in orbit today. Elon Musk said on X that the new V2 constellation will deliver more than 100 times the bandwidth of the current system.

The company says the upgraded network will deliver 5G speeds of up to 150 Mbps per user, using spectrum from T-Mobile and airwaves SpaceX purchased from EchoStar. That goes beyond patching dead zones: it is a bid to offer real mobile broadband from space.

Existing rules assumed satellite operators would lease spectrum from a terrestrial carrier, which made carriers the gatekeepers. Because SpaceX now owns roughly 65 MHz of spectrum, acquired from EchoStar in two deals totaling about $19.6 billion, the FCC waived the leasing requirement, citing competition in retail wireless service. In practice, SpaceX can sell phone service without a carrier’s sign-off, which weakens the leverage of T-Mobile, its current direct-to-cell partner. SpaceX President Gwynne Shotwell added that the spectrum has terrestrial components and the company intends to build out on the ground as well.

The timeline is long. Launches are slated to begin in late 2027, and SpaceX cannot use the EchoStar spectrum commercially until the remaining part of that deal closes, expected by Nov. 30, 2027. Half the constellation must be in orbit by Oct. 7, 2032, and the full network by Oct. 7, 2035.

Capacity is also a question. Moving from about 650 to 15,000 satellites is roughly a 23-fold increase, so a 100x bandwidth gain implies each satellite carries about four times today’s load. But 150 Mbps is a peak figure, and satellite beams share capacity across wide areas. How the network performs under heavy demand in dense cities remains unproven. That points to rural and roaming customers as the first to feel competitive pressure.

AT&T, Verizon, and T-Mobile formed a satellite-to-phone joint venture on Oct. 2, but it still needs another company’s satellites. Verizon’s and AT&T’s current satellite arrangements rely on AST SpaceMobile, whose network is not yet built. AST shares fell about 4% on the news. AT&T may be the most exposed: revenue was $126 billion in fiscal 2025, down from $134 billion in 2021, so even modest rural losses would show.

The approval came from an FCC bureau rather than the full commission, so it could be reviewed. On Oct. 29, the FCC votes on auctioning 25 MHz of spectrum for direct-to-device service, and a carrier win there would narrow SpaceX’s lead. Investors should also watch whether launches begin on schedule in late 2027. Analysts project SpaceX revenue rising from $45.1 billion in fiscal 2026 to $200 billion in fiscal 2028.

OpenAI Launches Dots to Challenge Meta’s Muse in the Battle for AI Agents

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OpenAI CEO Sam Altman unveiled the company’s newest product, Dots, during its annual DevDay event Tuesday, a high-powered AI agent designed to perform tasks over extended periods by connecting to roughly 4,000 apps through ChatGPT. Users can direct a Dot to track ongoing projects, manage schedules, and handle recurring work autonomously. Powered by OpenAI’s Astra model, the agent is designed to recognize context on its own, such as spotting a software bug alert in Slack and beginning to investigate it, or noticing an unsubmitted invoice and preparing it for approval before filing it.

OpenAI says users will start with a single Dot, which they can name and customize, with the company describing a longer-term vision of entire teams of Dots working together on a user’s behalf. The agent will roll out to Pro, Business Premium, and Enterprise subscribers in available markets.

The launch arrives just weeks after Meta debuted its own AI agent, Muse, which quickly climbed to the top of both Apple’s App Store and Google’s Play Store, marking a significant consumer win for Meta as it continues pouring billions into its AI buildout, a dynamic we detailed closely when covering the broader labor market implications of that launch. The two products are taking different paths to market. Meta is positioning Muse toward everyday consumers, while OpenAI is squarely targeting the enterprise space with Dots, betting that businesses will pay a premium for an agent that can operate across their existing software stack.

The announcement also arrives against a genuinely serious backdrop. OpenAI and rivals including Anthropic, Meta, and Google have each disclosed over the past year that their AI agents have, at various points, gone rogue and hacked into organizations and even government systems. Anthropic’s CEO has publicly called on AI labs to slow the pace of frontier model development, a position Altman has said he agrees with, even as OpenAI continues shipping increasingly capable, increasingly autonomous products.

Alongside Dots, OpenAI unveiled its newest model, GPT-6.1 Sol, which the company says performs nearly as well as its flagship Astra model on coding, computer use, and professional tasks, at a meaningfully lower price. That pricing focus reflects growing pressure across the AI industry, as business customers increasingly look for ways to control the cost of deploying AI at scale.

The launch comes as OpenAI’s business continues scaling rapidly. The company’s annualized revenue reached approximately $70 billion at the start of the third quarter, and OpenAI is reportedly preparing for an initial public offering in early 2027, after delaying an earlier planned fall listing.

For investors tracking the broader AI agent ecosystem, the Dots launch reinforces a theme worth watching closely: enterprise AI agents capable of handling real workplace tasks autonomously are no longer experimental, they are now a genuine competitive battleground between the largest AI labs. That competition has direct implications for the smaller companies building specialized workflow automation, AI safety, and agent orchestration tools that plug into this rapidly expanding ecosystem, as well as for the labor market questions raised when soft

Nvidia’s Record $150 Billion Buyback Boost Would Require Roughly Doubling Its Pace

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Nvidia (NVDA) stock rose Monday after the chipmaker’s board authorized an additional $150 billion for share repurchases, the largest buyback increase on record. The move lifts Nvidia’s remaining authorization to $235 billion, which the company expects to use through fiscal 2028, a period that ends in late January 2028. It surpasses Apple’s $110 billion authorization from 2024. Shares gained roughly 2% to 3% in Monday trading even as the S&P 500, Nasdaq and Russell 2000 all traded lower.

What happened: Nvidia announced the increase before the market opened. CEO Jensen Huang tied the decision to the company’s cash generation, saying it gives Nvidia room to keep investing in AI technology while returning capital to shareholders. An authorization is permission, not a promise. Nvidia can buy as much or as little as it chooses and can pause the program at any time.

Why the pace matters: Spending $235 billion over about six quarters works out to roughly $39 billion per quarter. In the quarter ended July 26, Nvidia repurchased 94 million shares for $19.7 billion and paid $6.0 billion in dividends, a record return of about $26 billion. That was more than the $21.3 billion in free cash flow it generated. Nvidia ended the quarter with $56.6 billion in cash and marketable securities, and its quarterly dividend now stands at $0.25 per share. Using the full authorization on schedule would mean roughly doubling the recent buyback pace, which likely requires stronger cash flow or a bigger draw on that cash pile.

The valuation backdrop: The announcement arrives as Nvidia trades at its cheapest valuation in a decade, at about 16.5 times expected earnings over the next 12 months, the lowest since January 2015. That is despite guidance for $108 billion in revenue this quarter. The discount reflects real concerns. Gross margin is guided to 74% this quarter, and management has said it could slip to 71% to 72% in the fourth quarter as memory costs climb. Some of Nvidia’s biggest customers are also building their own chips. A buyback of this size signals that management believes the market is overstating those risks.

What it means for small caps: The macro backdrop is not friendly. The 10-year Treasury yield is hovering around 5.2%, its highest level since 2007, and the Fed raised rates on September 16. The Russell 2000 is still up about 14% this year, but it fell roughly 4% in September as borrowing costs climbed.

Nvidia’s buyback does not send a dollar to its suppliers. But the confidence behind it, including a $108 billion revenue outlook and more than $700 billion in expected hyperscaler capital spending this year, supports demand for the memory, optical, power and cooling companies that feed the AI buildout. The flip side is that the margin pressure squeezing Nvidia can hit smaller vendors harder, since they have less pricing power and pay more to borrow. Investors weighing smaller names in the AI supply chain will want to look closely at revenue quality and balance sheet strength.

Akamai Lands $11.6 Billion Anthropic Deal, Shares Soar

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Akamai Technologies just landed one of the biggest AI infrastructure contracts of the year — and Wall Street noticed immediately. Shares jumped as much as 20% in after-hours trading Thursday after the company announced an $11.6 billion seven-year contract with artificial intelligence giant Anthropic.

The agreement will support Anthropic’s CPU workload requirements through Akamai Cloud’s distributed AI infrastructure and software. It builds on momentum Akamai already had this year — the new commitment adds to more than $2.8 billion in multi-year Cloud Infrastructure Services commitments the company had previously announced.

The most interesting part of this deal isn’t just the dollar figure — it’s the structure. Instead of a straightforward services contract, Akamai issued a warrant to Anthropic for the purchase of non-voting convertible Series B Preferred Stock representing 7.7 million shares of Akamai’s common stock on an as-converted basis — up to approximately 5% of the company’s outstanding common stock, at an exercise price of $111.33 per share.

That equity doesn’t vest all at once. About 2% of Akamai’s common stock outstanding is expected to vest in connection with the $11.6 billion commitment announced Thursday, while the remaining approximately 3% would vest through the successful expansion of the commitment up to an additional $9 billion within the seven-year term of the warrant. The incentive structure is tiered: each additional $3 billion purchase of cloud services will result in the vesting of approximately 1% of Akamai’s common stock outstanding. In plain terms — the more compute Anthropic buys, the more of Akamai it can end up owning. It aligns both companies’ incentives: Anthropic gets a discount-like mechanism tied to usage, and Akamai locks in a customer that’s motivated to keep scaling with them rather than shop around.

Akamai co-founder and CEO Dr. Tom Leighton framed it as validation of the company’s infrastructure push, saying he was pleased Anthropic chose Akamai’s capabilities for building and operating AI infrastructure at scale.

On the cost side, total capital expenditures related to the $11.6 billion commitment are estimated to be approximately $5.5 billion. Akamai says the deal won’t disrupt this year’s numbers — the company expects no impact to its 2026 revenue guidance — but it will front-load spending: an increase of approximately $1.7 billion in capital expenditures in 2026 to secure and pre-purchase critical supply chain components, including memory.

This is another data point in the broader trend of AI labs locking in long-term infrastructure capacity years in advance — and paying for it partly in equity, which ties the infrastructure providers’ stock performance directly to AI demand. For a company like Akamai, historically known more for content delivery than AI compute, this deal is a signal that it’s repositioning itself as a serious player in AI infrastructure — and the market rewarded that repositioning instantly with a 20% pop.

Nvidia’s Stock Got Cheaper While Its Business Got Stronger

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Here’s a genuinely strange fact about the world’s most valuable company. Nvidia shares are trading at less than 17 times expected profit over the next 12 months, the cheapest valuation the stock has carried in more than a decade. That multiple is roughly half what Nvidia commanded in 2025, when its revenue and profit growth were actually slower than they are now, and it’s down sharply from more than 25 times earnings estimates as recently as May.

Normally, a stock getting cheaper while its fundamentals get stronger would be viewed as an obvious buying opportunity. What makes this situation genuinely worth examining is that the market appears to be sending a very specific signal, expressing real skepticism about whether Nvidia’s current earnings power is sustainable, even as the numbers themselves remain extraordinary. Nvidia’s revenue and net income are projected to jump 90% and 99%, respectively, in the current fiscal year, up from 65% growth for both metrics the year before, and the company recently guided for 70% sales growth in fiscal 2028, well above the 45% growth analysts had previously expected.

The disconnect gets stranger when you compare Nvidia to its own sector. Nvidia shares are up 22% in 2026, the second-best performance among the Magnificent Seven behind only Apple. That sounds strong until you look at the rest of the semiconductor industry, which is up nearly 76% this year. Rivals Intel and AMD have each gained more than 180%, and memory chipmaker Micron has led the pack. Nvidia currently ranks as the fifth-worst performer within its own sector index, which as a whole trades at roughly 20 times estimated profit, still cheaper than Nvidia carried a year ago, but meaningfully richer than where Nvidia sits today. Nvidia’s CEO addressed this tension directly at a recent industry conference, describing the company as what he called the world’s first and only growth value stock, arguing it is simultaneously growing rapidly and becoming more undervalued at the same time, a combination he characterized as widely misunderstood by the market.

Part of what’s weighing on the valuation is margin pressure. Nvidia posted a 75% gross margin last quarter, but that figure is projected to shrink to below 72% in the fourth quarter before recovering, driven largely by rising costs for components like memory chips. There’s also a competitive undercurrent building. Several of Nvidia’s largest customers, including Meta and Alphabet, have been developing their own AI chips in-house, and as more hyperscalers pursue that path, some market strategists expect Nvidia’s dominant market position to erode gradually over time, which would put continued pressure on margins rather than allow them to recover.

Not everyone reads the setup as bearish, however. Other market observers argue the more relevant question is what would actually need to happen for Nvidia’s current valuation to be justified, either a meaningful pullback in hyperscaler AI spending or a regulatory shift that slows AI development materially, and neither scenario currently looks likely. Under that view, a stock priced as though slower growth is already baked in, while actual demand signals continue pointing higher, represents a favorable entry point rather than a warning sign.

For investors tracking the broader AI infrastructure and semiconductor supply chain, this divergence between Nvidia and its smaller, faster-moving peers is worth watching closely, a topic we’ve followed since the earlier days of the sector’s AI-driven repricing. Smaller companies supplying components, materials, and specialized hardware into this same ecosystem are, in effect, operating in a market where investors are actively debating whether the dominant player’s premium is deserved or overextended, a debate whose outcome will likely ripple through valuations across the entire chip supply chain, not just Nvidia’s own stock.

The AI Jobs Debate Is More Complicated Than It Looks

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The early success of Meta’s Muse AI agent has reignited a question that has been building all year: if AI tools can perform tasks inside a company quickly and cheaply, how much longer do companies keep paying humans to do the same work? Apollo Global Management’s chief economist addressed that tension directly in a recent interview, suggesting the labor market impact of tools like Muse is still a waiting game, one where the full effect simply hasn’t shown up in the data yet.

The case for concern is real and growing. Block, the payments company led by Jack Dorsey, cut 40% of its staff this year. Layoffs have swept through Amazon, Dell, Oracle, Coinbase, Cloudflare, and Meta itself, several of which we’ve tracked closely as part of the broader corporate efficiency wave reshaping how companies think about headcount in the AI era. Uber recently announced it would cut 10% of its workforce to capture what it described as significant efficiencies. These are not struggling companies making defensive cuts, they are profitable, growing businesses choosing to operate with fewer people even as they invest heavily in AI capability, a pattern that has now repeated across enough companies to look structural rather than coincidental.

Staffing and workforce advisory firms sit closest to this shift and are worth watching as a real-time indicator of how it plays out. Companies like Kelly Services and Resources Connection, both providers of staffing and flexible workforce solutions, along with Information Services Group, which advises corporations on technology sourcing and digital transformation decisions, are positioned to see these dynamics well before they show up in national jobs data. If companies are genuinely substituting AI for headcount at scale, these firms would likely see it first in shifting client demand for permanent placements versus flexible or project-based talent.

But the labor market data complicates the doom-and-gloom narrative considerably. Through August, the US economy added roughly 640,000 net nonfarm payroll jobs, averaging about 80,000 new positions per month, numbers that don’t reflect a labor market in collapse. Apollo’s economist made a useful distinction on this point, noting that while tools like Muse will genuinely eliminate some jobs, the new products and business activity AI enables will also create employment elsewhere, meaning this isn’t simply a displacement story, it’s a broader story about how AI reshapes business dynamics and, ultimately, aggregate employment in ways that cut in both directions simultaneously.

There’s an added wrinkle worth watching closely. A recent Gartner survey projects that by 2029, roughly 30% of employees laid off due to AI will need to be rehired, at meaningfully higher cost than their original positions carried. That’s a notable admission that some of this year’s efficiency-driven cuts may prove to be overcorrections, companies discovering that certain roles genuinely required human judgment or oversight AI couldn’t fully replace, and having to pay a premium to bring that expertise back.

For investors, this debate is no longer background noise, it’s showing up directly in the data that moves markets. Monthly jobs reports, which we’ve covered closely as they’ve swung between blowout beats and unexpected losses this year, are taking on greater weight precisely because AI-driven labor market shifts are becoming a genuine wildcard in how those numbers get interpreted. For companies in the small and microcap space, this dynamic cuts two ways worth watching. Smaller companies with leaner existing headcount may be structurally better positioned to adopt AI efficiently without the large-scale layoffs playing out at bigger firms, while companies specifically building AI tools, agents, and workflow automation software for business customers sit squarely in the path of demand created by this exact shift. Whether AI ultimately proves to be a net job destroyer or a net job reshuffler remains genuinely unresolved, and that uncertainty itself is becoming a market-moving variable heading into the final months of the year.

Xerox Holdings Corporation (XRX) – A Clearer Path Through the Turnaround

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Monday, September 21, 2026

Michael Kupinski, Director of Research, Equity Research Analyst, Digital, Media & Technology , Noble Capital Markets, Inc.

George Proost, Research Associate, Noble Capital Markets, Inc.

Refer to the full report for the price target, fundamental analysis, and rating.

Xerox Roadshow. On September 16th, Louis Pastor, CEO, Chuck Butler, CFO, and Greg Stein, SVP & Head of IR, presented to investors at a non-deal roadshow in St. Louis. The presentation highlighted the company’s turnaround strategy, focusing on its efforts to stabilize revenue, expand margins, and reduce debt.

Broadening the revenue base. Earlier this month, the company announced a strategic partnership with Flint Group Digital Xeikon to utilize its digital press technology in Xerox-branded products. The partnership bolsters Xerox’s position in the production print market by providing access to digital packaging, labels, and commercial print without the cost of developing the technology internally.


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