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Tech chiefs dismiss AI sell-off as 'very, very short term thinking'

The Magnificent Seven shed over $1 trillion Thursday as data center fears hit the AI trade; Arm, OpenAI, Qualcomm, Box and Lyft executives pushed back.

OpenAI, Arm and Qualcomm executives react to post-midterm AI sell-off
OpenAI, Arm and Qualcomm executives react to post-midterm AI sell-offsergeitokmakov / pixabay
By Rebecca Stone6 min read

Why it matters

  • The 'Magnificent Seven' lost over $1 trillion in combined market cap in Thursday's sell-off.
  • Qualcomm fell 9.49% Thursday before recovering some losses Friday.
  • Stocks posted their best day in more than 18 months Wednesday before Thursday's tech-led rout.
  • Arm CEO Rene Haas called the sell-off 'very, very short term thinking.'
  • OpenAI CFO Sarah Friar pledged: 'We will never raise your electricity bill.'

The "Magnificent Seven" lost more than $1 trillion in aggregate market capitalization in a single session Thursday, as fears of a slowdown in the data center build-out triggered a steep tech-led sell-off that followed the midterm election. On Friday, chief executives and senior executives across the semiconductor and software industries moved publicly to reassure investors, and stocks recovered part of their losses.

The rout capped a volatile week. After a Democratic sweep of Congress, together with a sizeable number of state governorships and legislatures, in the midterm election Tuesday night, stocks initially rallied Wednesday and posted their best day in more than 18 months. President Trump accepted the blowout results with little fanfare. The tide turned Thursday, when investors reacted to wins by candidates in favor of data center regulation in states such as Texas and to the possibility that the artificial intelligence trade has passed its peak.

The executives' responses, delivered across CNBC programs Thursday and Friday, share a common argument: the sell-off reflects short-term sentiment, not the underlying demand for computing capacity or the fundamentals of their businesses.

What did Arm's CEO say?

Arm CEO Rene Haas called the postelection fear "very, very short term thinking" and said it is not likely to be a major threat to Arm's business in the long term. He framed the stakes as geopolitical rather than financial.

"If the U.S. hesitates in any way, shape, or form in terms of data center build-out, the rest of the world is ready and willing. There is just huge demand for this capacity," Haas told CNBC's "Squawk on the Street" Thursday.

His argument carries weight beyond Arm's own results. The United States currently leads in artificial intelligence infrastructure, and Haas said the country must keep investing in the data center build-out before the rest of the world catches up. In his telling, the midterm-driven anxiety about regulation and overbuilding misses the point: capacity remains scarce globally, and any American pause creates an opening for competitors abroad. That is the context in which he dismissed the market reaction as short-term thinking — a judgment about demand, not about share prices.

How did OpenAI respond to community backlash?

OpenAI CFO Sarah Friar told CNBC's Sara Eisen on Friday that OpenAI will continue investing in data center infrastructure, even after voters resoundingly rejected data centers in their backyards during the midterm election. She said the company will also focus on community concerns, including electricity.

"We will never raise your electricity bill," Friar said.

It is a direct promise aimed at one of the most common local objections to hyperscale data center construction: strain on the power grid and rising costs for residents. Friar positioned OpenAI's response to the midterms as a continuation of its existing investment strategy rather than a change of course.

"When I think about the midterms, I need to keep thinking about how do we keep investing to meet that customer demand. It starts early with having built relationships with all of the hyperscalers, and it will continue to mean that we raise capital," Friar said.

She added: "If the midterm means more focus on data centers and communities, we're going to keep doing the work to get into those communities and to build trust with them."

The statement signals that OpenAI reads the election results not as a stop sign but as a mandate for deeper community engagement — more capital raised, more hyperscaler relationships, more local trust-building — while demand for its products continues to grow.

Why does Qualcomm see itself as different?

Qualcomm CEO Cristiano Amon said the anxiety about the future of the data center build-out does not pose a significant threat to the chipmaker's business, because data center infrastructure is just one segment for the company. Qualcomm slid 9.49% in Thursday's sell-off before recovering some of its losses Friday.

"The whole market is down, but I think the Qualcomm story is a little bit different," Amon told CNBC's Jon Fortt Thursday.

Unlike traditional PC and data center chipmakers, Qualcomm has historically focused on low-power consumption computing. Amon pointed to that record as the basis for his confidence.

"The story of Qualcomm is what we have done outside that on the data center specific question," he said.

The distinction matters for investors sorting winners from losers in the AI infrastructure trade. A near-double-digit single-day drop in Qualcomm's stock priced in an exposure to data center spending that, by the CEO's account, the company does not have in the same degree as its peers. His message: the sell-off treated chipmakers as a single trade, and that assumption is wrong for Qualcomm.

What about the software side?

Box CEO Aaron Levie told "Squawk on the Street" Thursday that productivity gains mean AI "is clearly going in one direction," but he acknowledged a problem in how the industry talks about the technology. He said a tendency for industry messaging to coalesce around "doomerism" can exacerbate the public perception problems AI companies face.

"I think it's a little bit easier to rotate it toward maybe the more risk-oriented messages, and that's something that our industry needs to work on clearly. But ultimately, obviously, the consumer needs to see the direct benefit, and that's something that will just take time," Levie said.

His comments locate the industry's challenge not in compute capacity or chip supply but in narrative. In his view, the public hears more about AI's risks than its benefits, and closing that gap requires consumers to experience direct benefits — a process he said will take time.

Lyft CEO David Risher took the most detached position of the group. He said the dour market sentiment was not concerning for Lyft's business, because consumer sentiment and bookings remained strong.

"I wouldn't get too distracted about the short term stuff of what's going on in the market. If I look at the consumer, for example, we just had the biggest Halloween we've ever had," Risher told CNBC's "Squawk Box" Friday.

Why does the sell-off matter for AI?

The week's swings expose the central tension in the AI trade. The same election that produced the best market day in more than 18 months on Wednesday also elevated state-level candidates in Texas and elsewhere who favor regulating data center construction — and Thursday's trillion-dollar rout in the Magnificent Seven followed within 24 hours.

Executives from Arm, OpenAI, Qualcomm, Box and Lyft uniformly urged investors to look past the volatility. Friar committed OpenAI to raising more capital and building more infrastructure. Haas warned that any American hesitation cedes ground to the rest of the world. Amon argued his company's exposure is narrower than the market assumed. Levie conceded the industry must fix its messaging. Risher pointed to record consumer demand.

Friday's partial recovery suggests the market is still deciding which story to believe. With OpenAI pledging continued investment and state legislatures newly stocked with data center regulators, the collision between AI build-out ambitions and local opposition will define the next phase of the trade.

Source: CNBC Tech

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Rebecca Stone

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Correspondent covering companies, deals and strategy in artificial intelligence and machine learning at AI In Context.

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