Michael Burry Bets Against Micron After Its Best Quarter Ever. Is the AI Memory Boom About to Bust?

Michael Burry just shorted one of the best-performing stocks in the market, and the reasoning behind it is worth understanding whether you own semiconductor stocks or not.

The Scion Asset Management founder disclosed a new short position in Micron Technology (NASDAQ: MU) in a Substack post on July 2, entering at $1,051.87 per share. The stock dropped roughly 5.5% on the news, closing at $975.56. Burry also holds existing short positions in Nvidia, Applied Materials, and the iShares Semiconductor ETF (SOXX), and has said publicly that AI-related chip stocks could see a 30% correction from here.

Burry’s argument centers on one word: cyclicality. “Micron defines cyclical like no other,” he wrote, and he backed it up with numbers that are hard to wave away. The stock has suffered 34 drawdowns of more than 30% over the past 42 years. Its median return on invested capital sits at just 4%. Median return on equity comes in at 7%, which Burry called “frankly terrible.” Free cash flow has gone negative in 48% of quarters historically. And right now, Micron is trading further above its 200-day moving average than at any point since 1984, a stretch that includes the dot-com bubble. Burry dismissed the high-bandwidth memory business fueling the current rally as “just another in a very long series” of Micron products rather than a durable competitive edge.

It’s a compelling case built on four decades of history. The problem is that Micron’s most recent quarter does not look like the start of a downturn. For the period ending May 2026, the company posted $41.5 billion in revenue, up 345.7% year over year, with gross margin expanding to 84.6% from 37.7% a year earlier. On the June 24 earnings call, Chief Business Officer Sumit Sadana said customer demand for memory chips remains “well above our ability to supply” across nearly every product category through 2028. Long-term supply contracts, some running five years with prepayments attached, now account for at least half of the company’s revenue. That is not the profile of a business quietly cracking under the weight of a boom-and-bust cycle. It looks like a company locking in demand years in advance.

So which read is right? The piece of Burry’s argument that deserves the most attention isn’t the historical volatility data, it’s what he pointed to as the actual catalyst. South Korea recently announced mega semiconductor projects worth at least 1.35 trillion won, roughly $880 billion, including new fabrication plants from Samsung and SK Hynix. Burry called this “the beginning of the end.” Samsung, SK Hynix, and Micron together control close to 90% of the global DRAM market. When two of the three dominant players start committing hundreds of billions of dollars to new capacity, the pricing power that has driven this year’s memory rally typically doesn’t last forever. Supply eventually catches up to demand, and when it does in this industry, it tends to overshoot.

That dynamic is becoming more real by the day. SK Hynix debuted its U.S. listing today, raising approximately $28 billion in fresh capital, much of which is aimed squarely at expanding memory production capacity. Meanwhile, insiders at Micron have sold $124.9 million worth of shares over the past three months, a detail that doesn’t prove anything on its own but is worth filing away.

None of this settles the debate, and it shouldn’t. Micron is not a small or micro-cap company, but the memory supply chain it sits atop runs through dozens of smaller public names in testing, packaging, specialty materials, and thermal management, all of which trade on the same underlying cycle. When one of the most recognizable short sellers in the market publicly challenges the sustainability of an AI-driven supercycle in the exact stock that anchors that supply chain, the ripple effects extend well past Micron’s own share price. Investors holding exposure anywhere in the memory ecosystem now have a credible bear case sitting alongside the bull case, and the coming quarters, particularly how HBM pricing holds up against the wave of new South Korean capacity, will likely determine who was right.

NN (NNBR) – Expanding Data Center Business


Tuesday, June 30, 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.

New Awards. NN has secured a significant amount of additional 2026 immediate-supply awards for liquid cooling products that go into NVIDIA AI data center racks. The new awards are additive to prior communicated awards and greatly increase the size of NN’s liquid cooling product portfolio for AI data center racks. NN’s combined Data Center and Electric Grid business is already its 2nd-largest business, with a goal to grow it into the Company’s largest business by sales. The Data Center & Electric Grid end markets are the top targeted growth markets for the Company.

Successful Launch. In 1Q26, NN announced the launch of a custom-designed stainless-steel product line for the liquid-cooled data center market. Since then, the Company has secured multiple AI data center awards, invested in an initial complement of 17 next-generation, high-speed, high-precision CNC machines at its Wuxi, China, plant, and begun production.


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*Analyst certification and important disclosures included in the full report. NOTE: investment decisions should not be based upon the content of this research summary. Proper due diligence is required before making any investment decision. 

onsemi’s $7 Billion Synaptics Deal Is a Bet on “Physical AI” — the Next Frontier Beyond the Data Center

The artificial intelligence trade has spent two years concentrated almost entirely inside the data center. onsemi (Nasdaq: ON) just made a $7 billion wager that the next chapter takes place out in the physical world. The Scottsdale-based semiconductor company announced it has entered into a definitive agreement to acquire Synaptics (Nasdaq: SYNA) in an all-stock transaction valued at approximately $7 billion in enterprise value — the largest acquisition in onsemi’s history and one of the more strategically revealing deals in the chip sector this year.

Under the terms, Synaptics shareholders will receive 1.350 shares of onsemi common stock for each Synaptics share, representing roughly a 19% premium to the 10-day volume-weighted average closing prices of both companies. The transaction is expected to close in mid-2027, subject to Synaptics shareholder and regulatory approvals.

What “Physical AI” Actually Means

The strategic concept driving the deal is what onsemi calls Physical AI — artificial intelligence embedded directly into devices and machines, enabling them to sense their environment, make decisions, act, and adapt in the real world. This is distinct from the data center AI that has dominated headlines. Where data center AI trains and runs large models in centralized facilities, Physical AI lives at the edge: in automobiles, industrial robots, factory equipment, medical devices, and connected consumer products.

onsemi frames the combined company as sitting at the intersection of four pillars: Power, Sense, Connected Compute, and Control. The company has long held strength in the first two — intelligent power management and sensing technologies for automotive and industrial markets. What it lacked was the compute and connectivity layer that turns raw sensor data into intelligent action. That is precisely what Synaptics brings.

What Synaptics Adds

Synaptics contributes four decades of innovation in Edge AI compute, human-machine interface technology, and wireless connectivity solutions. Its portfolio enables the kind of on-device intelligence and interaction that Physical AI requires — touch, display, voice, and connectivity systems that allow machines to interface with both their environment and their users. Combining Synaptics’ edge compute franchise with onsemi’s power and sensing leadership creates a company able to offer integrated solutions across every layer of the Edge AI stack.

The financial logic is anchored in market expansion. onsemi expects the acquisition to increase its total addressable market by $30 billion, bringing it to $243 billion by 2030. That is the size of the opportunity onsemi believes Physical AI represents as intelligence migrates out of the data center and into the billions of devices and machines operating in the physical economy.

Why This Matters Beyond the Two Companies

For investors tracking the broader semiconductor landscape, the onsemi-Synaptics combination carries a signal that extends well past the deal itself. The AI investment narrative has been overwhelmingly concentrated in data center infrastructure — GPUs, memory, networking, and the hyperscaler buildout. This transaction is a high-conviction bet by an established player that the next phase of AI value creation happens at the edge, in the physical world, embedded in real machines.

That thesis has direct implications for smaller companies. As Physical AI demand accelerates, the suppliers of edge sensors, power management components, connectivity modules, embedded compute, and the specialized materials that go into device-level intelligence stand to benefit. Many of those companies operate well below the $2 billion market cap threshold and sit in exactly the part of the supply chain that a Physical AI buildout would pull forward.

The data center AI trade has been the story of the past two years. onsemi just put $7 billion behind the idea that the physical world is next.

Conduent (CNDT) – AI Launch Supports Transformation


Thursday, June 25, 2026

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

Jacob Mutchler, Research Associate, Noble Capital Markets, Inc.

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

The launch of the AI-powered Next Generation CX Platform reinforces strategic transformation. Conduent introduced new AI-enabled capabilities, including real-time translation, AI-driven agent training, and voice enhancement technologies, further positioning the company as a technology-enabled customer experience provider rather than a traditional business process outsourcer.

New capabilities support higher-margin, technology-enabled growth. The platform enables real-time translation across more than 90 languages, AI-based training simulations that can reduce agent onboarding time by up to 40%, and accent smoothing and noise cancellation, all of which enhance customer interactions and improve operational efficiency.


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*Analyst certification and important disclosures included in the full report. NOTE: investment decisions should not be based upon the content of this research summary. Proper due diligence is required before making any investment decision. 

Days After Its Record IPO, SpaceX Is Spending $60 Billion to Become an AI Company

Four days after completing the largest IPO in history, SpaceX is already making its first major move as a public company — and it has nothing to do with rockets. SpaceX (Nasdaq: SPCX) confirmed in an SEC filing Tuesday that it will acquire Anysphere, the company behind the popular AI coding tool Cursor, in an all-stock transaction valued at $60 billion. The deal is expected to close in the third quarter of 2026, pending regulatory approvals, and would make Cursor a wholly owned SpaceX subsidiary.

SpaceX shares jumped more than 12% on the news, trading above $216 and poised for a third consecutive day of gains since its June 12 debut. The move pushes SpaceX’s market capitalization toward $2.5 trillion, ranking it among the most valuable publicly traded companies in the world.

The Deal Was Months in the Making

This acquisition did not come out of nowhere. In April, SpaceX announced a strategic partnership with Anysphere focused on AI for coding and knowledge work. That original agreement included a provision giving SpaceX the option to either pay $10 billion for the collaborative work the two companies had performed together, or acquire Anysphere outright for $60 billion later in the year. SpaceX has elected to pursue full ownership.

The financial logic behind that decision is reflected in Cursor’s growth. The AI coding platform, founded in 2022, has scaled at an extraordinary pace, reaching approximately $4 billion in annualized recurring revenue as of this month — up from figures that were a fraction of that just a year ago. Cursor has built a large and rapidly expanding base of software developers who use its AI agent to automate and accelerate the coding process.

Why SpaceX Wants an AI Coding Company

On the surface, a rocket and satellite company acquiring an AI coding platform appears unusual. The strategic rationale becomes clearer in the context of SpaceX’s February merger with Elon Musk’s AI venture xAI. That combination established SpaceX as an entity spanning launch, satellite connectivity, and artificial intelligence under one roof. The Cursor acquisition deepens the AI dimension significantly.

SpaceX has struggled to keep pace with AI coding leaders Anthropic and OpenAI, both of which have built dominant positions in the agentic coding space. Acquiring Cursor gives SpaceX immediate scale and a proven product in one of the fastest-growing segments of the AI market, rather than attempting to build a competing capability from scratch. Musk indicated over the weekend that SpaceX could potentially reach approximately $1 trillion in annual revenue by 2030 — a target that requires growth engines well beyond launch and satellite internet.

The Read-Through for Smaller AI Companies

For investors tracking the AI software space, the Cursor acquisition carries a specific signal. A $60 billion valuation for a company that was generating a fraction of that in revenue just a year ago reflects the premium that strategic acquirers are willing to pay for proven, rapidly scaling AI products with large user bases and strong enterprise traction.

The agentic coding segment in particular has emerged as one of the most commercially validated corners of the AI economy. Smaller companies building specialized AI development tools, code automation platforms, and enterprise AI workflow products now operate in a market where the largest and best-capitalized players are paying tens of billions to establish positions. That dynamic tends to lift valuations and acquisition interest across the entire segment.

SpaceX went public as a space company. Four days later, it is reshaping itself into an AI contender. The pace alone tells you how fast this market is moving.

Anthropic Just Filed for an IPO at $965 Billion. The AI Capital Cycle Has Entered a New Phase

The artificial intelligence industry’s march toward public markets just crossed a threshold that Wall Street has been watching closely for months. Anthropic, the San Francisco-based AI company behind the Claude family of large language models, confirmed Monday it has submitted a confidential draft S-1 registration statement to the Securities and Exchange Commission — the first formal legal step toward an initial public offering.

The filing contains no share count, no price range, and no confirmed listing date. Under the confidential process, full financial disclosures remain private until the SEC completes its review, at which point Anthropic will decide whether to proceed based on market conditions. A public debut as early as Fall 2026 is widely expected.

What is known is the valuation at which Anthropic is entering this process. Just days before the filing, the company closed a $65 billion Series H funding round co-led by Altimeter Capital, Dragoneer, Greenoaks, Sequoia Capital, Capital Group, Coatue, and D1 Capital Partners, pushing its post-money valuation to approximately $965 billion. That figure places Anthropic ahead of rival OpenAI in private market valuation and positions it at the front of the most consequential IPO pipeline in the history of the technology industry.

The Company Behind the Filing

Anthropic was founded in 2021 by Dario Amodei, Daniela Amodei, and several colleagues who departed OpenAI. The company has built its business on the Claude model family, which spans consumer, enterprise, and frontier AI applications, and has established major compute agreements with Amazon, Google, and Broadcom. Claude is available across AWS, Google Cloud, and Microsoft Azure, giving the company distribution through the three largest cloud platforms simultaneously. The company’s CFO described the latest funding round as support to serve the demand for Claude while expanding research, compute capacity, and product partnerships.

The Broader IPO Context

Anthropic’s filing lands inside what is shaping up to be the most concentrated AI IPO season in market history. Cerebras Systems debuted on Nasdaq in May, surging nearly 90% on its first day of trading in the largest US tech IPO since Uber in 2019. SpaceX’s roadshow begins Thursday with the June 12 Nasdaq listing targeting a $1.75 trillion valuation and a $75 billion raise. OpenAI is expected to follow Anthropic to the SEC with its own filing in the weeks ahead.

The cumulative implied valuation of these four AI companies alone approaches $4 trillion. That number represents an entirely new category of public market listing, and its effect on sentiment, capital allocation, and sector multiples across the AI ecosystem is already being felt.

What It Means for Smaller AI Companies

For investors in the sub-$2 billion AI space, the Anthropic filing matters for a specific reason. Cerebras and Nvidia represent the hardware and infrastructure layer of AI. Anthropic and OpenAI represent the model and software layer. When both layers of the AI stack are simultaneously achieving historic public market valuations, the effect on smaller companies operating across either layer is historically consistent: institutional capital broadens its reach, multiples expand across the sector, and the companies that were already building real products in the space benefit from the rising tide.

The IPO window that cracked open with Cerebras in May is now wide open. Anthropic just made sure of it.

$24.4 Billion in AI Orders. One Quarter. Dell Just Redefined What an AI Supercycle Looks Like.

There are strong earnings reports, and then there is whatever Dell Technologies just delivered. The computing giant posted fiscal Q1 2027 results Thursday evening that left Wall Street scrambling to revise models that were not even close to capturing what is actually happening in AI infrastructure spending right now. Dell shares surged more than 30% Friday, adding nearly $100 per share to close near $417.

The numbers are almost difficult to process at face value.

Revenue for the quarter came in at $43.8 billion, up 88% year over year and more than $8 billion above the analyst consensus estimate of $35.5 billion. Dell booked $24.4 billion in AI server orders in a single quarter, generated $16.1 billion in AI server revenue, and exited the period sitting on a backlog of $51.3 billion in unfilled AI server orders. For context, $51.3 billion in backlog represents more than the company’s entire revenue for a typical quarter just two years ago.

The guidance revision was equally staggering. Dell now projects $167 billion in fiscal year 2027 revenue, up sharply from a prior outlook of approximately $140 billion and nearly $25 billion above the analyst consensus of $142.1 billion. Embedded within that figure is a projection of $60 billion from AI server sales alone across the full fiscal year.

What the Analysts Are Saying

Wall Street’s response was immediate and unanimous. Evercore ISI raised its price target from $270 to $450 and framed the quarter in terms that rarely appear in analyst notes: “This is what an AI supercycle looks like.” Citi lifted its target from $290 to $475 and noted that demand continues to exceed supply, supporting backlog visibility through year-end. JPMorgan pushed its target from $280 to $500, citing improved visibility into a higher sustainable earnings growth rate over the medium term. Loop Capital went furthest of all, raising to $550 from an undisclosed prior target and calling the quarter “historic” and “unprecedented.”

Critically, multiple analysts flagged that Dell remains supply-constrained. Better component allocations, particularly in AI server hardware, could push estimates even higher from current levels.

The Small Cap Read-Through

For investors focused on the sub-$2 billion market cap universe, Dell’s quarter is not just a large cap story. It is a demand confirmation signal for every company supplying components into the AI server ecosystem.

A $51.3 billion backlog and a company that is supply-constrained does not stay that way without pulling every link of its supply chain to maximum capacity. Memory, power delivery systems, advanced cooling solutions, networking hardware, printed circuit boards, specialty connectors, and server chassis components are all part of the AI server bill of materials. Many of the companies making those components operate well below the $2 billion market cap threshold and have yet to see their valuations fully reflect the demand environment Dell’s results just confirmed.

Dell is the clearest proof yet that the AI infrastructure buildout has moved well beyond chips into the full stack of server hardware. The companies supplying that stack, at every tier and every size, are now operating in one of the strongest demand environments in the history of enterprise technology.

The World’s Largest Utility Is Being Built to Power the AI Boom

The artificial intelligence boom just claimed its biggest infrastructure deal yet — and it has nothing to do with chips or software. NextEra Energy announced Monday it will acquire Virginia-based Dominion Energy in an all-stock transaction valued at approximately $66.8 billion, creating the world’s largest regulated electric utility by market capitalization and marking one of the most significant utility mergers in a generation.

The deal values Dominion at $75.97 per share — a roughly 23% premium to its last close — structured as an exchange of 0.8138 NextEra shares for each outstanding Dominion share. Dominion stock jumped nearly 15% on the announcement. NextEra shares slipped about 2% as investors digested the scale of the acquisition. The combined entity will carry a market cap of approximately $249 billion and an enterprise value of $420 billion, making it the third-largest company in the US energy sector behind only ExxonMobil and Chevron. The transaction is expected to close within 12 to 18 months.

Why This Deal Happened Now

The answer is straightforward: AI is consuming electricity at a pace the existing power grid was never built to handle. Dominion is the utility responsible for powering Northern Virginia’s “Data Center Alley” — the world’s largest concentration of data centers — with roughly 51 gigawatts of contracted data center capacity already on the books. Its customer list reads like a who’s who of hyperscale computing: Alphabet, Amazon, Microsoft, Meta, Equinix, CoreWeave, and CyrusOne all depend on Dominion’s grid.

Across both companies’ service territories, data centers proposing to connect to the combined grid represent approximately 130 gigawatts of future electricity demand. To put that in perspective, one gigawatt powers roughly 750,000 homes. NextEra’s CEO framed the acquisition plainly: electricity demand is rising faster now than it has in decades, and scale is the only way to meet it. The company plans to build more than 30 dedicated data center hubs across the US as part of its post-merger strategy.

Power prices nationally have already climbed roughly 40% over the past five years, with the sharpest increases concentrated in AI-heavy states including Virginia, Maryland, and Pennsylvania — the exact markets this merger is designed to dominate.

What It Means for Smaller Energy Players

A merger of this magnitude reshapes competitive dynamics across the entire energy infrastructure ecosystem, and the ripple effects reach well into the small and microcap space. The buildout required to serve 130 gigawatts of incremental data center demand cannot be executed solely through internal resources — it requires a network of suppliers, contractors, and technology providers operating at every layer of the grid.

Companies involved in grid modernization, high-voltage transformer manufacturing, power management systems, substation equipment, and renewable energy development are all positioned to benefit from the infrastructure spending surge that a combined NextEra-Dominion will need to execute. Many of the companies operating in these niches sit well below the $2 billion market cap threshold.

Independent power producers and smaller regional renewable developers face a more complex picture — a utility giant with NextEra’s capital base and Dominion’s existing relationships creates a formidable competitor for new generation contracts. But for those on the supply side of the infrastructure buildout, the pipeline just got significantly larger.

The AI energy trade is no longer a theme. It is the defining structural force reshaping American power markets — and Monday’s deal is the clearest evidence yet of just how seriously the biggest players are taking it.

AI Trade Reignites, Dow Reclaims 50,000 — What the Market Reset Means for Small and Microcap Investors

US equity markets surged Thursday as a convergence of catalysts — a thawing US-China trade relationship, renewed AI momentum, and better-than-expected corporate earnings — pushed major indices to milestone levels not seen in months.

The Dow Jones Industrial Average climbed back above 50,000 for the first time since February, rising roughly 450 points on the session. The S&P 500 crossed 5,700 and the Nasdaq Composite advanced approximately 1%, fueled largely by a sharp rally in Nvidia shares after the US government approved sales of its H200 chips to select Chinese firms.

The AI Trade Is Back — and It Has Teeth

Nvidia’s stock jumped more than 4% on the chip sales approval news, but the broader implication for investors is more significant than a single-day move. The H20 and H200 chip sales to China had been a major overhang for AI-exposed names across the market cap spectrum. Their approval signals a shift in Washington’s posture — at least selectively — toward allowing AI hardware exports to flow into one of the world’s largest technology markets.

For small and microcap investors, this matters. AI infrastructure spending at the enterprise and hyperscaler level creates downstream demand that flows through the supply chain — from specialty semiconductor materials and PCB manufacturers to data center cooling solutions and edge computing plays. Many of those companies sit well below the $2 billion market cap threshold. When the AI trade re-accelerates at the large-cap level, it has historically pulled forward activity in the smaller names that feed that ecosystem.

US-China Summit Adds Macro Tailwind

President Trump and Chinese President Xi Jinping opened a two-day summit Thursday, with both sides calling for improved ties. The meeting — attended by top US CEOs including Nvidia’s Jensen Huang, Tesla’s Elon Musk, and Apple’s Tim Cook — carries real implications for trade policy across sectors. Any meaningful reduction in tariff friction or expansion of technology trade frameworks could disproportionately benefit smaller US exporters and manufacturers who have faced margin pressure from supply chain disruptions and retaliatory tariff exposure.

The summit is still ongoing and outcomes remain fluid, but the market is clearly pricing in a more constructive tone.

Cisco’s Restructuring Has a Broader Message

Cisco shares soared Thursday after the company posted an earnings beat and announced an AI-focused restructuring that will eliminate roughly 4,000 positions. The move isn’t just a cost story — it’s a signal that legacy networking infrastructure is being repositioned around AI workloads. When large incumbents restructure toward AI, they typically shed non-core business lines and reduce focus on smaller verticals. That creates opportunity gaps that agile smaller companies can move into.

Retail Sales and Oil: The Inflation Watch Continues

April retail sales came in higher, boosted partly by elevated fuel prices tied to the ongoing Middle East conflict. The inflationary undertow remains a risk variable, particularly for consumer-facing small caps operating on thin margins. Investors should continue monitoring energy price movements as a potential headwind heading into Q2 earnings season.

Thursday’s rally is a reset, not a resolution. But for small and microcap investors, the underlying signals — AI demand returning, trade tensions easing, and large-cap restructuring creating white space — are worth watching closely.

Conduent (CNDT) – Operational Reset Begins to Take Shape


Tuesday, May 12, 2026

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

Jacob Mutchler, Research Associate, Noble Capital Markets, Inc.

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

Q1 results. Q1 revenue of $723 million was modestly below our estimate of $743 million, driven by ongoing softness in the Commercial segment, while adj. EBITDA of $49 million exceeded our estimate of $38 million, driven by improved cost performance, resulting in a 6.8% adj. EBITDA margin.

Action oriented CEO. In the brief time since Harsha V. Agadi has taken over as CEO, the company has simplified its leadership structure, launched a company-wide cost review, identified $100 million in potential cost reductions, restructured sales incentives, narrowed Commercial focus to healthcare and financial services, accelerated AI deployment, and initiated its portfolio optimization strategy. Furthermore, the company is focused on faster implementation cycles, tighter financial discipline, and improved pipeline conversion.


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*Analyst certification and important disclosures included in the full report. NOTE: investment decisions should not be based upon the content of this research summary. Proper due diligence is required before making any investment decision. 

Perfect (PERF) – Limited Take Private Upside; Rating Change


Wednesday, April 29, 2026

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

Jacob Mutchler, Research Associate, Noble Capital Markets, Inc.

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

Q1 2026 results showed solid execution. Perfect Corp. reported Q1 revenue of $17.9 million, which was up 12% over the prior year period and in line with our estimate of $18.0 million. Furthermore, gross profit was up 17.8%, and operating income was a positive $1.5 million, reflecting continued progress in the company’s transition to a higher-quality, subscription-driven AI revenue model. Notably, the company reported adj. EBITDA of $2.3 million, which was better than our estimate of $1.1 million.

Performance was driven by strength in AI subscriptions and monetization. The results reflected strong growth in mobile app and web subscriptions and a sharp increase in virtual points usage, partially offset by declines in legacy licensing revenue and some softness in subscriber and key customer counts.


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Equity Research is available at no cost to Registered users of Channelchek. Not a Member? Click ‘Join’ to join the Channelchek Community. There is no cost to register, and we never collect credit card information.

This Company Sponsored Research is provided by Noble Capital Markets, Inc., a FINRA and S.E.C. registered broker-dealer (B/D).

*Analyst certification and important disclosures included in the full report. NOTE: investment decisions should not be based upon the content of this research summary. Proper due diligence is required before making any investment decision. 

Intel Breaks Its Dot-Com Ceiling: What a 26-Year Breakout Means for the Chip Sector

Intel (NASDAQ: INTC) did something Friday that took 26 years to accomplish — it traded above its dot-com-era peak set in the year 2000. With shares surging more than 22% on the heels of a blowout first-quarter earnings report, the stock cleared a ceiling that had capped rallies multiple times over the past two decades and is now trading in price discovery territory for the first time since the internet bubble.

The catalyst was a Q1 2026 earnings print that demolished Wall Street expectations across every key metric. Intel posted revenue of $13.6 billion, up 7% year-over-year, against analyst consensus that had penciled in closer to $12.4 billion. Non-GAAP earnings per share came in at $0.29, crushing the $0.01 estimate. For context, that’s a 28-cent beat on the bottom line — a number that tells you just how badly the Street had underestimated Intel’s momentum heading into the quarter.

The segment doing the heavy lifting is Data Center and AI. That division posted revenue growth of 22% year-over-year, making it Intel’s fastest-growing area. More telling: AI-driven business revenue surged 40% year-over-year, marking the sixth consecutive quarter in which the company exceeded its own guidance. Intel Foundry — its contract manufacturing arm — also contributed meaningfully, bringing in $5.4 billion, up 20% sequentially.

It’s worth noting that Intel did report a GAAP net loss of $3.7 billion for the quarter, driven primarily by $4.1 billion in restructuring and other charges, including a Mobileye goodwill impairment. That number is real and matters, but the market’s reaction tells you investors are focused on the operating trajectory — not the one-time write-downs.

The technical story is just as significant as the fundamental one. Intel had been trapped below its 2000 peak for over two decades, with failed breakout attempts in both 2020 and 2021. The stock had already staged a remarkable recovery before earnings, rising more than 60% off its March 30 low and adding roughly $130 billion in market value in that stretch. Friday’s move didn’t just extend that rally — it changed the long-term chart structure entirely.

Intel isn’t alone in its momentum. The PHLX Semiconductor Index is currently on a 17-consecutive-day winning streak, one of the longest runs in the index’s history. The entire chip complex has been repriced higher as AI infrastructure buildout accelerates and demand for advanced silicon continues to outstrip supply.

Management guided Q2 2026 revenue to a range of $13.8 to $14.8 billion, with non-GAAP EPS of $0.20 and a non-GAAP gross margin of 39% — forward guidance that signals the company expects its momentum to hold.

The key watch now is whether Intel can close at a record high above $75.83 by the end of Friday’s session. A confirmed close above that level would be a landmark moment for one of the most watched charts in technology. A retreat back below $65, however, would reframe this move as a failed breakout — and signal the stock needs more time before it can sustain new all-time highs.

Either way, Intel’s earnings don’t just matter for INTC shareholders. They’re a read-through for semiconductor capital spending, AI chip demand, and the broader thesis that the CPU — not just the GPU — has a critical role in the next wave of AI infrastructure.

Anthropic Launches Claude Opus 4.7

Anthropic is expanding its AI model lineup with the release of Claude Opus 4.7, a new offering the company positions as its most capable generally available model to date — while deliberately keeping its most powerful, and potentially most dangerous, technology off the open market.

The San Francisco-based AI firm says Opus 4.7 delivers meaningful improvements over its predecessor, Claude Opus 4.6, across a range of performance benchmarks including agentic coding, multidisciplinary reasoning, scaled tool use and computer use. For enterprise users and developers, the model is designed to handle complex, real-world workflows more effectively — a direct response to the growing demand for AI that can operate with greater autonomy across business processes.

But what makes this launch notable is not just what Claude Opus 4.7 can do — it’s what it deliberately cannot.

Anthropic has engineered the new model to have reduced cyber capabilities compared to Claude Mythos Preview, the company’s most advanced model, which was rolled out earlier this month to a limited group of companies as part of a new cybersecurity initiative called Project Glasswing. Mythos is not generally available and Anthropic has no near-term plans to change that. The company says it is using Project Glasswing as a controlled environment to study how powerful models behave in real-world cybersecurity contexts before considering any broader release.

With Opus 4.7, Anthropic has embedded safeguards that automatically detect and block requests flagged as prohibited or high-risk cybersecurity uses. The company said it also experimented with training techniques aimed at selectively reducing those capabilities at the model level — not just through filtering after the fact. Security professionals with legitimate use cases can apply through a formal verification program to access those capabilities.

The approach reflects the tightrope Anthropic has walked since its founding in 2021 — building competitive, high-performance AI while maintaining what has become the company’s core differentiator: a reputation for safety-first development. That reputation is now being tested at an entirely new scale.

The launch of Project Glasswing has triggered a wave of high-profile conversations across Washington and Wall Street, with members of the Trump administration, tech executives and bank CEOs meeting to assess what Mythos-class AI capabilities could mean for national security and financial infrastructure. The underlying question — how powerful should a publicly available AI model be — is no longer theoretical.

For investors and enterprises, the practical implications of Opus 4.7 are more immediate. The model is priced identically to Opus 4.6, meaning businesses get a material upgrade at no additional cost. It is available across all Anthropic Claude products, its API and through cloud distribution partners Microsoft, Google and Amazon — giving it broad accessibility across the enterprise ecosystem.

The release also signals something important about where the AI industry is heading. Capability tiers are becoming a deliberate strategic tool. The most powerful models are being gated, studied and selectively deployed — not because they aren’t ready, but because the institutions using them need to be.

For small and mid-cap technology companies building on top of AI infrastructure, the implications are significant. As foundation model providers like Anthropic establish formal verification programs and tiered access structures, third-party developers and SaaS companies will need to navigate an increasingly credentialed ecosystem — one where access to the most powerful tools requires demonstrating not just technical fit, but responsible use.