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3 AI Stocks Quietly Breaking Out While Everyone Watches Nvidia

Channel: MarketBeat Published: 2026-01-20 18:12
MarketBeat

Pete Carmino of Chicken Analytics argues that AI infrastructure and semiconductor equipment names still have room to run even after big moves, because capital spending, tax incentives, and data-center buildouts remain supportive. He uses Applied Materials as a case study and highlights Onto Innovation, AMD, and ON Semiconductor as momentum stocks that may still be early in their next leg up.

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Detailed summary

This transcript is a bullish, momentum-focused pitch on three AI-adjacent stocks: Onto Innovation, AMD, and ON Semiconductor, framed through the lens of an earlier successful call in Applied Materials (AMAT). Pete Carmino’s core thesis is that the AI trade is not finished just because popular names have already run; instead, the supporting infrastructure and equipment layer still has “room to run,” especially when capital expenditure keeps growing and policy incentives make spending easier for large customers. He starts by using Applied Materials as a case study. The claim is that AMAT was already strong when he discussed it in October, but it still climbed roughly another 100 points afterward, validating the idea that a stock can continue higher even when it already looks extended. …

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Main takeaways

  1. AI capex is still the central bullish driver, with hyperscaler spending expected to stay very large into the next year.
  2. The transcript is explicitly about momentum stocks that are already up, not cheap turnaround names.
  3. Applied Materials is used as evidence that extended AI-related stocks can keep running.
  4. Onto Innovation is framed as a semiconductor quality-control/testing beneficiary of new chip fabs.
  5. AMD is treated as a resumed breakout after consolidation, not a fresh discovery.
  6. ON Semiconductor is the most “later-cycle” idea, tied to data-center infrastructure and power semis.
  7. Volatility, tariffs, and geopolitical noise are treated as tactical buying opportunities rather than thesis-breakers.
  8. Policy incentives, especially bonus depreciation, are presented as an underappreciated tailwind for capex.

Market read by horizon

Short term

Near term, the actionable setup is to respect relative strength in AI infrastructure names while expecting choppy tape from tariffs and geopolitics. Extended entries are risky, so the cleanest short-term read is to use pullbacks or smaller sizing rather than chase indiscriminately.

  • Watch whether the momentum names hold up on weak-market days; Pete emphasizes relative strength as the immediate tell.
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  • Onto Innovation is highlighted as potentially pullbackable, but he says it firmed up quickly, so chasing risk is real.
  • AMD is in a relative-strength breakout now; near-term confirmation would be continuation above the recent consolidation range.
Mid term

Over the next few months, the base case is continued support for semicap equipment, testers, and power-semiconductor names if hyperscaler capex stays elevated and earnings guidance confirms it. A sustained slowdown in AI spend or a failure to hold breakouts would be the main reasons to reconsider.

  • Over the next several weeks to months, the base case is continued AI infrastructure capex growth supporting equipment, testing, and power-semiconductor names.
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  • The thesis for AMD is that post-consolidation strength should continue if the breakout holds and the broader semiconductor trend remains constructive.
  • ON Semiconductor’s medium-term setup depends on visibility improving as data-center projects progress from buildout into completion and ordering phases.
Long term

Structurally, the transcript argues that AI buildout is still early enough to support a broader semiconductor ecosystem, not just the flagship GPU makers. If that regime persists, leadership should keep rotating down the supply chain as more stages of the data-center cycle mature.

  • The structural thesis is that AI data-center buildout is still in an early stage, with multiple phases left to play out.
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  • Pete’s broader regime view is that capital is flowing through the whole semiconductor and equipment ecosystem, not just the GPU leaders.
  • Tax policy and depreciation rules are presented as lasting support for corporate investment, which could keep the capex cycle extended.
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Key claims (5)

BULLISH AI capital expenditure

AI-related capital expenditure will continue growing, reaching $500-550 billion this year.

Speaker cites hyperscaler spending trends and tax incentives (bonus depreciation) as drivers of sustained capex growth.

BULLISH AI capital expenditure AMAT

Applied Materials (AMAT) still has further upside even after rallying from $220 to the $320s.

The speaker argues AI tailwinds and capital expenditure trends continue to push equipment names higher.

BULLISH Semiconductor equipment cycle ONTO

Onto Innovation (ONTO) is set to benefit from increased semiconductor manufacturing, similar to Applied Materials' earlier setup.

Speaker draws a historical analogy to AMAT's October setup, noting ONTO's relationship with TSMC and role testing chips.

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Assets discussed (9)

Applied Materials — AMAT
BULLISH stock

Used as the earlier winning AI-related example that kept running after an initial move.

Nvidia — NVDA
NEUTRAL stock

Referenced as the flagship semiconductor name that initially led the AI trade.

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Speakers

SPEAKER Bridget Bennett GUEST Pete Carmino

Interview (3 Q&A)

AI market valuations

What should investors be thinking about when getting into the AI market, especially regarding analysts' valuations and whether the market is catching up with how rapid demand is growing?

Pete says analysts tend to be conservative and may call names 'overbought' or 'crowded trades,' but the investment trends are massive — over $400 billion in AI capex last year, growing to $500-550 billion this year — and permanent 100% bonus depreciation tax incentives from the 'big beautiful bill' make monetizing data centers easier. So unless those incentives change, capex should keep growing.

market volatility

Do you see the current market volatility from tariff fears and geopolitical tension as a factor that could slow momentum in these momentum names, and what should investors do?

Pete says volatility equals opportunity. He advises looking at long-term trends and asking 'what do I know for sure?' — what he knows for sure is incentives to spend remain, AI is growing, and we're in early stages. He recommends using technical indicators and sifting through noise versus signal.

ON Semiconductor positioning

Where does ON Semiconductor fit into the cycle of the data center buildup happening in the country right now?

Pete says ON is toward the end of the data center build — in the power semiconductor layer that lags GPU orders by about a phase, somewhere between phase two and phase three of a three-phase buildout. He notes the analyst rating trend is a little slow, which he sees as future opportunity if upgrades start coming, and that ON should get better visibility into 2026 as data centers get completed.

Where this transcript pushes against consensus

  • The bullish capex figures are asserted without sourcing in the transcript, so the precision of the $400B and $500B-$550B numbers is not independently verified here.
  • The idea that volatility is mostly opportunity downplays the risk that extended momentum names can de-rate sharply if sentiment turns.
  • The claim that these names are still early in a multiyear AI cycle may be right, but the transcript does not deeply address valuation risk or demand saturation.
  • The policy-tailwind argument relies on the durability and directiveness of tax incentives, which may not translate evenly across all beneficiaries.

Topics

AI capexsemiconductor equipmentmomentum investingdata-center buildoutbonus depreciationmarket volatilityApplied MaterialsOnto InnovationAMDON Semiconductor

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