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Is AI Really Eating Software? A Wall Street Veteran Says No—Here's Why
Submitted by Bridget Bennett. Date Posted: 2/13/2026.
Key Points
- Generative AI is pressuring software valuations by lowering barriers to entry and raising “build it yourself” fears.
- Chaikin isn’t buying the dip in battered software names yet—he wants the dust to settle first.
- The strongest tech momentum he sees right now is tied to the AI buildout: chip reliability, testing, packaging, and energy.
Software has been the market's favorite growth story for more than a decade. Lately, however, it's become the market's punching bag.
In a recent MarketBeat conversation, Chaikin Analytics founder Marc Chaikin explained why he thinks the software selloff isn't just a quick shakeout and why investors should be cautious about trying to "buy the dip" too early. His message was simple: even if the largest software platforms survive, the market may no longer reward them with the same premium valuations.
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See the five stocks to avoid and learn what's driving this shift.At the same time, Chaikin argues the AI boom is still alive and well. It's just moving capital toward the parts of tech that make AI run, rather than the software apps investors have traditionally chased.
Why Software Is Getting Hit
Chaikin traces the anxiety to a shift in perception.
For years, the "software is eating the world" thesis held because SaaS companies built sticky products, scaled quickly, and generated strong margins. Now, tools like ChatGPT and Claude have investors asking: what if more software becomes easier to replicate than we assumed?
That concern doesn't mean major software companies are disappearing. Chaikin expects the biggest, most entrenched platforms—those with large installed bases embedded in business workflows—to be more likely to survive. But survival doesn't automatically translate into strong stock performance.
The bigger question, in his view, is what investors will pay for these businesses going forward if growth expectations cool and competition becomes easier to create.
Would He Buy Software on This Dip?
Not yet.
Chaikin likens buying software right now to "catching the javelin." While he believes a recovery could happen eventually, he thinks it's too early for investors to confidently identify the winners, the losers, and how much the AI threat will reshape pricing power.
His advice: wait for the market to stabilize, let analysts dig into fundamentals, and don't assume a swift rebound just because prices have fallen.
Where the Momentum Has Rotated Instead
If software is under pressure, where is the strength?
Chaikin says the AI boom is still being driven by data centers—and data centers require chips. Chips, however, have a key vulnerability: failure. Heat and stress can knock them out, and the cost of downtime is enormous.
That's why Chaikin is focused on nuts-and-bolts tech: companies tied to chip reliability, testing, packaging, and the energy infrastructure that supports the broader buildout.
Here are the three names he highlighted.
1) Onto Innovation: A "Quality Control" AI Play
Onto Innovation (NYSE: ONTO) is Chaikin's favorite tech name right now because it offers a straightforward way to participate in the AI buildout without relying on a software narrative.
The company makes tools and systems that test and verify chip reliability. In a market sprinting to build more data centers, reliability is a must-have, not a nice-to-have.
Chaikin also appreciates ONTO's mid-cap profile—a size he believes currently offers better opportunity than mega-cap tech while avoiding some of the shakier fundamentals often found in small caps.
From a chart standpoint, he described ONTO as an uptrend name that has been volatile enough to present second-chance entries. Rather than chase a double top, he's watching for a pullback.
2) Amkor Technology: Testing and Packaging Exposure
Amkor Technology (NASDAQ: AMKR) occupies a similar space with a slightly different mix.
In addition to test services, Amkor provides outsourced semiconductor packaging—another critical piece of the chip supply chain as demand ramps.
Chaikin pointed to the sector-wide surge that followed strong results from Taiwan Semiconductor Manufacturing Company (NYSE: TSM), when many chip-related names moved together. What he liked about Amkor is that after the spike-and-pullback, the stock rallied back toward prior highs, suggesting demand and accumulation may be more durable than a one-day headline reaction.
His broader point: the semiconductor group is acting like the opposite of software right now. Rather than breaking down, it's showing broad strength supported by solid industry fundamentals.
3) Enphase: A Turnaround With a Data Center Energy Angle
Enphase (NASDAQ: ENPH) is the most unconventional pick on the list, and Chaikin acknowledged that.
He typically avoids tech turnarounds, but he's watching Enphase because energy demand is becoming a larger part of the AI story. As data centers expand, power costs and alternative energy solutions matter more, creating potential new markets.
What changed for him wasn't just the narrative—it was the stock's behavior. Enphase had bullish indicators for a while but wasn't outperforming the broader market. Recently, its relative strength improved, and a screening program flagged it as a "strong stock in a strong group."
The stock also reacted sharply after earnings, then cooled off and consolidated—a setup technical investors often look for when a new uptrend is forming without the stock being at an all-time high.
The Takeaway
Chaikin's view isn't that tech is dead. It's that leadership is changing.
Software may still produce winners, but he's not trying to call the bottom. Instead, he's following the money into the infrastructure behind AI: chip reliability, testing, packaging, and power.
In a market defined by rotation, his approach is simple: avoid the javelin-catching trades and focus on the charts and sectors that are still acting like leaders.
Intel Stock Is Priced for Ruin, But the AI Offensive Is Here
By Jeffrey Neal Johnson. Article Posted: 2/9/2026.
Key Points
- The company has launched a unified roadmap targeting the lucrative artificial intelligence inference market with new discrete graphics processors and cooling technology.
- Strategic partnerships with industry leaders and significant government support validate the manufacturing capabilities and ensure a stable capital foundation for growth.
- Management is prioritizing high-margin data center products to navigate temporary supply bottlenecks and rebuild inventory levels for stronger performance later this year.
Intel Corporation (NASDAQ: INTC) is the center of a high-stakes tug-of-war on Wall Street. Two competing narratives are playing out in real time, creating significant volatility and confusion for retail investors. On one side, the company has launched an aggressive strategic offensive, re-entering the discrete GPU market and announcing a major partnership with SoftBank (OTCMKTS: SOBKY). On the other side, operations are flashing warning signs, with confirmed reports of severe supply shortages affecting the important Chinese market.
This tension between a revitalized long-term vision and immediate logistical hurdles has left Intel's stock price stabilizing in the upper $40s. While headlines about delivery delays are concerning, they appear to be temporary headwinds. For investors willing to look past the next two quarters, Intel's pivot from a defensive posture to an offensive artificial intelligence strategy creates a disconnect between the current share price and potential future value.
The AI Offensive: Brains and Memory
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He issued warnings for RNG before it crashed 89%, BYND before it crashed 90%, TDOC before it crashed 84%, and FVRR before it crashed 86%. Now, he's stepping forward to name the popular stock that could go down as one of the worst-performing tickers of the year. It could be the most dangerous stock of 2026.
Since late January, Intel has signaled it no longer wants to be just a contract manufacturer for other chip designers. Under the leadership of CEO Lip-Bu Tan, the company is consolidating a unified roadmap that covers both compute and memory.
The biggest update came in early February with the announcement that Intel is re-entering the discrete GPU market. This is not a rehash of past gaming efforts; the company is specifically targeting the AI inference market. While firms like NVIDIA (NASDAQ: NVDA) dominate AI model training, inference—actually running those models to generate answers—is expected to become the largest segment of the AI industry.
To address that opportunity, Intel introduced Project Crescent Island. Built on the Xe3P architecture and optimized for inference, Crescent Island's key differentiator is form factor. Unlike some competitors that require complex and costly liquid cooling, Crescent Island is designed to be air-cooled, making it easier and cheaper for standard data centers to adopt and lowering the barrier to enterprise deployment.
Backing this technical pivot is the hire of Eric Demers as Chief GPU Architect. Demers, formerly of Qualcomm (NASDAQ: QCOM) and AMD (NASDAQ: AMD), is a heavyweight in the industry. His arrival signals that Intel is again attracting top-tier engineering talent capable of executing complex designs rather than relying solely on legacy management.
At the same time, Intel is addressing a major bottleneck in AI: memory. The company finalized a partnership with SoftBank to co-develop Z-Angle memory (ZAM). Current AI chips are constrained by the scarcity and expense of High Bandwidth Memory (HBM). This partnership aims to create a new industry standard by 2029 that stacks memory more efficiently, positioning Intel Foundry not only as a factory but as an innovation center that helps drive the industry forward.
The China Problem: A Capacity Crisis
While the strategic vision is clear, the operational reality is challenging. Breaking reports on Feb. 6 confirmed Intel notified customers in China of delivery delays extending up to six months for its Xeon server processors. That announcement immediately pressured the stock and raised concerns about first-half 2026 revenue.
It's important to understand the root cause: this is a capacity problem, not a demand problem. During the fourth-quarter earnings call, CFO David Zinsner said the company's buffer inventory is depleted—Intel sold nearly every chip it had on hand in 2025.
Intel entered 2026 in a hand-to-mouth situation. Semiconductor manufacturing isn't a dial you can turn instantly; increasing wafer production today yields finished chips months later. The current six-month delay in China is the tangible result of that cycle time. While this creates a revenue air pocket and soft guidance for the first quarter, it also confirms a bullish underlying trend: x86 architecture remains critical to global infrastructure. Demand is real and robust, but the supply chain needs time to catch up. This is a temporary logistical hurdle, not a permanent structural decline.
Priced for Disaster, Built for Success
The tension between strategic growth and supply constraints has pushed Intel's valuation to historically low levels. The stock is trading at roughly 2x price-to-book, while higher-growth semiconductor peers often trade at 7x–10x. That valuation gap suggests the market is pricing Intel for structural failure—a scenario the financials do not support.
Investors should remember the downside protections that create a hard floor for the stock:
- Government Backing: The U.S. government holds an approximately 10% equity stake in the company, effectively designating Intel as a national champion too strategic to fail.
- Strategic Investment: Late in 2025, NVIDIA invested $5 billion in Intel, a stamp of approval from an industry leader that validates Intel's manufacturing capabilities and provides capital support.
- Cash Fortress: Intel's balance sheet is strong. The company exited 2025 with $37.4 billion in cash and short-term investments.
That liquidity provides ample runway to navigate current supply shortages without raising expensive capital. The company is turning away orders because demand outstrips available inventory, not because the product is obsolete.
Patience Pays: Looking Past the Noise
Current volatility in Intel stock reflects two timelines colliding. The supply shortages in China are a short-term weather event—painful but likely to pass. The GPU pivot and SoftBank partnership represent a structural shift that could position Intel to capture the next wave of AI spending.
For traders seeking a quick win, supply-chain headlines create meaningful near-term risk. For investors with a horizon beyond the next two quarters, the present share price may offer a discounted entry. As manufacturing yields improve and inventory buffers rebuild later this year, the market will likely reprice Intel based on its strategic future rather than its current logistical challenges.
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