Intel Shares Fall as Dour Forecasts Overshadow CEO’s Turnaround Promises

The Intel logo is seen near computer motherboard in this illustration taken January 8, 2024. (Reuters)
The Intel logo is seen near computer motherboard in this illustration taken January 8, 2024. (Reuters)
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Intel Shares Fall as Dour Forecasts Overshadow CEO’s Turnaround Promises

The Intel logo is seen near computer motherboard in this illustration taken January 8, 2024. (Reuters)
The Intel logo is seen near computer motherboard in this illustration taken January 8, 2024. (Reuters)

Intel's shares fell more than 8% on Friday as the company's weak revenue and profit forecasts overshadowed new CEO Lip-Bu Tan's strategy to revitalize the embattled chipmaker.

Years of bad decisions have left the struggling American chipmaking icon trailing in the lucrative artificial intelligence industry, while a raging Sino-US trade war casts doubt on near-term demand for its PC processors.

Tan on Thursday gave glimpses of his plans to reanimate Intel's culture of innovation by focusing on core engineering, stripping away unnecessary administrative work and cutting workforce.

"Intel is so huge that shifting its course is like turning a battleship – it cannot be done on a dime," Evercore ISI analysts said.

Tan did not provide much detail on how he will restore Intel's leadership position in manufacturing, nor on his plans to attract more external customers to the company's foundry, J.P.Morgan analysts said.

Tan remains focused on the contract manufacturing business and has recently met rival TSMC'S CEO to discuss how the two companies could collaborate.

Executives said first-quarter sales were boosted by customers stockpiling chips as growing tariff tensions between the US and China have made buyers wary of future purchases.

Intel could also stand to benefit if China introduces certain exemptions on US imports given the company's large presence in the Asian country, Ben Barringer, global technology analyst at Quilter Cheviot, said.

AI STRATEGY IN QUESTION

Tan's comments about sharpening Intel's existing products to best suit emerging AI trends have sparked questions on how the company plans to get ahead in the booming artificial intelligence sector and challenge market leader Nvidia.

"Intel needs to streamline fast – they have a lot of investments to make to catch up in AI," Stifel analyst Ruben Roy said.

Historically, Intel has relied on buying startups to further its AI ambitions. Other than Mobileye which Intel spun out a few years ago, the other deals didn't help the company gain much traction.

"Intel should have always had its own internal solution, but it missed the boat and tried to acquire its way into AI," Anshel Sag, principal analyst at Moor Insights & Strategy, said.

One of Intel's biggest missteps was failing to capitalize on the booming demand for AI chips, allowing Nvidia to dominate the market.

Intel now faces an uphill battle in challenging AI heavyweights as it lacks the same level of GPU intellectual property, which is essential for AI workloads, Barringer added.

The company's stock has gained 7.2% so far this year, outperforming Nvidia and Advanced Micro Devices, which have fallen nearly 20% each.

Intel, however, trades at a higher 12-month forward price-to-earnings ratio of 31.37 versus 22.70 for Nvidia and 19.24 for AMD.



Justice at Stake as Generative AI Enters the Courtroom

Generative artificial intelligence has been used in the US legal system by judges performing research, lawyers filing appeals and parties involved in cases who wanted help expressing themselves in court. Jefferson Siegel / POOL/AFP
Generative artificial intelligence has been used in the US legal system by judges performing research, lawyers filing appeals and parties involved in cases who wanted help expressing themselves in court. Jefferson Siegel / POOL/AFP
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Justice at Stake as Generative AI Enters the Courtroom

Generative artificial intelligence has been used in the US legal system by judges performing research, lawyers filing appeals and parties involved in cases who wanted help expressing themselves in court. Jefferson Siegel / POOL/AFP
Generative artificial intelligence has been used in the US legal system by judges performing research, lawyers filing appeals and parties involved in cases who wanted help expressing themselves in court. Jefferson Siegel / POOL/AFP

Generative artificial intelligence (GenAI) is making its way into courts despite early stumbles, raising questions about how it will influence the legal system and justice itself.

Judges use the technology for research, lawyers utilize it for appeals and parties involved in cases have relied on GenAI to help express themselves in court.

"It's probably used more than people expect," said Daniel Linna, a professor at the Northwestern Pritzker School of Law, about GenAI in the US legal system.

"Judges don't necessarily raise their hand and talk about this to a whole room of judges, but I have people who come to me afterward and say they are experimenting with it”.

In one prominent instance, GenAI enabled murder victim Chris Pelkey to address an Arizona courtroom -- in the form of a video avatar -- at the sentencing of the man convicted of shooting him dead in 2021 during a clash between motorists.

"I believe in forgiveness," said a digital proxy of Pelkey created by his sister, Stacey Wales.

The judge voiced appreciation for the avatar, saying it seemed authentic.

"I knew it would be powerful," Wales told , "that that it would humanize Chris in the eyes of the judge."

The AI testimony, a first of its kind, ended the sentencing hearing at which Wales and other members of the slain man's family spoke about the impact of the loss.

Since the hearing, examples of GenAI being used in US legal cases have multiplied.

"It is a helpful tool and it is time-saving, as long as the accuracy is confirmed," said attorney Stephen Schwartz, who practices in the northeastern state of Maine.

"Overall, it's a positive development in jurisprudence."

Schwartz described using ChatGPT as well as GenAI legal assistants, such as LexisNexis Protege and CoCounsel from Thomson Reuters, for researching case law and other tasks.

"You can't completely rely on it," Schwartz cautioned, recommending that cases proffered by GenAI be read to ensure accuracy.

"We are all aware of a horror story where AI comes up with mixed-up case things."

The technology has been the culprit behind false legal citations, far-fetched case precedents, and flat-out fabrications.

In early May, a federal judge in Los Angeles imposed $31,100 in fines and damages on two law firms for an error-riddled petition drafted with the help of GenAI, blasting it as a "collective debacle."

The tech is also being relied on by some who skip lawyers and represent themselves in court, often causing legal errors.

And as GenAI makes it easier and cheaper to draft legal complaints, courts already overburdened by caseloads could see them climb higher, said Shay Cleary of the National Center for State Courts.

"Courts need to be prepared to handle that," Cleary said.

Transformation

Law professor Linna sees the potential for GenAI to be part of the solution though, giving more people the ability to seek justice in courts made more efficient.

"We have a huge number of people who don't have access to legal services," Linna said.

"These tools can be transformative; of course we need to be thoughtful about how we integrate them."

Federal judges in the US capitol have written decisions noting their use of ChatGPT in laying out their opinions.

"Judges need to be technologically up-to-date and trained in AI," Linna said.

GenAI assistants already have the potential to influence the outcome of cases the same way a human law clerk might, reasoned the professor.

Facts or case law pointed out by GenAI might sway a judge's decision, and could be different than what a legal clerk would have come up with.

But if GenAI lives up to its potential and excels at finding the best information for judges to consider, that could make for well-grounded rulings less likely to be overturned on appeal, according to Linna.