• June 24, 2026

Yesterday I appeared on CNBC’s Power Lunch to discuss this week’s pullback in some tech stocks, which I take to reflect a short-term adjustment rather than any larger trend of weakness in the AI market. You can watch an edited video of this conversation via the link below, or read on for an AI-generated, human-edited overview and summary of the discussion.

Link to edited segment.

Overview

The technology sector has experienced a market pullback driven by short-term investor anxiety over semiconductor supply-demand dynamics and a correction in memory stocks — but does it reflect broader weakness in the market? Despite these immediate concerns, Patrick Moorhead says that the underlying thesis for robust AI demand remains intact. NVIDIA maintains its dominant leadership position in the AI space and is expanding into the CPU market, while Alphabet/Google faces downward stock pressure due to negative free cash flow and a surprising shift toward the debt market to fund infrastructure investments. Ultimately, industry experts view this market dip as a brief pause for profit-taking rather than the beginning of a prolonged structural decline.

Outline

Initial Assessment of the Tech Market Dip

• Contessa Brewer of CNBC opens the panel by asking whether a larger meltdown in the technology sector has begun.
• Patrick Moorhead states that he is not a seller and that he views the current market decline as a momentary pause in the action.
• Moorhead attributes the market dip to uncertainty about memory stocks, profit-taking, and risk mitigation ahead of upcoming earnings reports.
• He explains that despite short-term anxiety, the overarching thesis of heavy AI demand remains unchanged.
• Moorhead suggests that investors wait another day to evaluate market sentiment, noting ongoing discussions around interest rates and upcoming corporate announcements.

Supply and Demand Dynamics in the Chip Sector

• Portfolio manager John Belton introduces his thesis by pointing out underlying questions regarding the supply and demand environment for chips.
• Belton notes that new supply is coming online in the memory and storage side of the industry.
• He mentions that following reports of exploding revenues for top AI firms earlier this year, anecdotes are emerging about companies cutting back on spend.
• Belton states that the stock market is currently grappling with how these spending cuts will impact chip companies and hyperscalers.

Market Leadership and Tech Stock Evaluations

• Brewer transitions the conversation to NVIDIA, asking if it remains the king among mega-cap stocks.
• Belton asserts that NVIDIA remains the leader in the AI space, continuing to benefit from its massive head start over competitors.
• Belton notes that NVIDIA is building out a CPU business that is well-positioned for the expansion of agentic AI.
• He states that NVIDIA remains a solid holding because the broader demand cycle has not yet reached its peak.

Financial Shifts and Infrastructure Concerns at Alphabet

• Brian Sullivan of CNBC pivots the discussion to Alphabet, noting that the company just experienced its worst trading day in a year.
• Moorhead explains that Alphabet is facing pressure because investors are highly focused on the company’s free cash flow metrics.
• He adds that some investors were surprised to see Google transition to a negative cash flow position and tap the debt market.
• Moorhead notes that some are questioning whether Google invested enough in the correct types of silicon, comparing in-house tensor processing units to externally purchased GPUs.
• Sullivan summarizes the situation by stating that Google effectively ran up its credit card and surprised the market by tapping debt.
• Moorhead confirms that tapping into free cash flow makes investors nervous, causing Google to look less like a sure bet than it did previously.

Companies Mentioned

• NVIDIA
• Alphabet/Google
• Amazon
• Cerebras
• Micron
• Qualcomm
• OpenAI
• Anthropic

Keyword Summary

NVIDIA, Alphabet, Google, Qualcomm, Cerebras, OpenAI, Anthropic, tech stocks, AI demand, hyperscalers, tokenmaxxing

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