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Jury’s order for Tesla to pay $243 million in Autopilot crash will ‘send shock waves’ throughout the industry, analyst says

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A Miami jury decided that Elon Musk’s car company Tesla was partly responsible for a deadly crash in Florida involving its Autopilot driver assist technology and must pay the victims more than $240 million in damages.

The federal jury held that Tesla bore significant responsibility because its technology failed and that not all the blame can be put on a reckless driver, even one who admitted he was distracted by his cellphone before hitting a young couple out gazing at the stars. The decision comes as Musk seeks to convince Americans his cars are safe enough to drive on their own as he plans to roll out a driverless taxi service in several cities in the coming months.

The decision ends a four-year long case remarkable not just in its outcome but that it even made it to trial. Many similar cases against Tesla have been dismissed and, when that didn’t happen, settled by the company to avoid the spotlight of a trial.

“This will open the floodgates,” said Miguel Custodio, a car crash lawyer not involved in the Tesla case. “It will embolden a lot of people to come to court.”

The case also included startling charges by lawyers for the family of the deceased, 22-year-old, Naibel Benavides Leon, and for her injured boyfriend, Dillon Angulo. They claimed Tesla either hid or lost key evidence, including data and video recorded seconds before the accident. Tesla said it made a mistake after being shown the evidence and honestly hadn’t thought it was there.

“We finally learned what happened that night, that the car was actually defective,” said Benavides’ sister, Neima Benavides. “Justice was achieved.”

Tesla has previously faced criticism that it is slow to cough up crucial data by relatives of other victims in Tesla crashes, accusations that the car company has denied. In this case, the plaintiffs showed Tesla had the evidence all along, despite its repeated denials, by hiring a forensic data expert who dug it up.

“Today’s verdict is wrong,” Tesla said in a statement, “and only works to set back automotive safety and jeopardize Tesla’s and the entire industry’s efforts to develop and implement lifesaving technology.” They said the plaintiffs concocted a story ”blaming the car when the driver – from day one – admitted and accepted responsibility.”

In addition to a punitive award of $200 million, the jury said Tesla must also pay $43 million of a total $129 million in compensatory damages for the crash, bringing the total borne by the company to $243 million.

“It’s a big number that will send shock waves to others in the industry,” said financial analyst Dan Ives of Wedbush Securities. “It’s not a good day for Tesla.”

Tesla said it will appeal.

Even if that fails, the company says it will end up paying far less than what the jury decided because of a pre-trial agreement that limits punitive damages to three times Tesla’s compensatory damages. Translation: $172 million, not $243 million. But the plaintiff says their deal was based on a multiple of all compensatory damages, not just Tesla’s, and the figure the jury awarded is the one the company will have to pay.

It’s not clear how much of a hit to Tesla’s reputation for safety the verdict in the Miami case will make. Tesla has vastly improved its technology since the crash on a dark, rural road in Key Largo, Florida, in 2019.

But the issue of trust generally in the company came up several times in the case, including in closing arguments Thursday. The plaintiffs’ lead lawyer, Brett Schreiber, said Tesla’s decision to even use the term Autopilot showed it was willing to mislead people and take big risks with their lives because the system only helps drivers with lane changes, slowing a car and other tasks, falling far short of driving the car itself.

Schreiber said other automakers use terms like “driver assist” and “copilot” to make sure drivers don’t rely too much on the technology.

“Words matter,” Schreiber said. “And if someone is playing fast and lose with words, they’re playing fast and lose with information and facts.”

Schreiber acknowledged that the driver, George McGee, was negligent when he blew through flashing lights, a stop sign and a T-intersection at 62 miles an hour before slamming into a Chevrolet Tahoe that the couple had parked to get a look at the stars.

The Tahoe spun around so hard it was able to launch Benavides 75 feet through the air into nearby woods where her body was later found. It also left Angulo, who walked into the courtroom Friday with a limp and cushion to sit on, with broken bones and a traumatic brain injury.

But Schreiber said Tesla was at fault nonetheless. He said Tesla allowed drivers to act recklessly by not disengaging the Autopilot as soon as they begin to show signs of distraction and by allowing them to use the system on smaller roads that it was not designed for, like the one McGee was driving on.

“I trusted the technology too much,” said McGee at one point in his testimony. “I believed that if the car saw something in front of it, it would provide a warning and apply the brakes.”

The lead defense lawyer in the Miami case, Joel Smith, countered that Tesla warns drivers that they must keep their eyes on the road and hands on the wheel yet McGee chose not to do that while he looked for a dropped cellphone, adding to the danger by speeding. Noting that McGee had gone through the same intersection 30 or 40 times previously and hadn’t crashed during any of those trips, Smith said that isolated the cause to one thing alone: “The cause is that he dropped his cellphone.”

The auto industry has been watching the case closely because a finding of Tesla liability despite a driver’s admission of reckless behavior would pose significant legal risks for every company as they develop cars that increasingly drive themselves.



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Mark Zuckerberg renamed Facebook for the metaverse. 4 years and $70B in losses later, he’s moving on

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In 2021, Mark Zuckerberg recast Facebook as Meta and declared the metaverse — a digital realm where people would work, socialize, and spend much of their lives — the company’s next great frontier. He framed it as the “successor to the mobile internet” and said Meta would be “metaverse-first.”

The hype wasn’t all him. Grayscale, the investment firm specializing in crypto, called the Metaverse a “trillion-dollar revenue opportunity.” Barbados even opened up an embassy in Decentraland, one of the worlds in the metaverse. 

Five years later, that bet has become one of the most expensive misadventures in tech. Meta’s Reality Labs division has racked up more than $70 billion in losses since 2021, according to Bloomberg, burning through cash on blocky virtual environments, glitchy avatars, expensive headsets, and a user base of approximately 38 people as of 2022.

For many people, the problem is that the value proposition is unclear; the metaverse simply doesn’t yet deliver a must-have reason to ditch their phone or laptop. Despite years of investment, VR remains burdened by serious structural limitations, and for most users there’s simply not enough compelling content beyond niche gaming.

A 30% budget cut 

Zuckerberg is now preparing to slash Reality Labs’ budget by as much as 30%, Bloomberg said. The cuts—which could translate to $4 billion to $6 billion in reduced spend—would hit everything from the Horizon Worlds virtual platform to the Quest hardware unit. Layoffs could come as early as January, though final decisions haven’t been made, according to Bloomberg. 

The move follows a strategy meeting last month at Zuckerberg’s Hawaii compound, where he reviewed Meta’s 2026 budget and asked executives to find 10% cuts across the board, the report said. Reality Labs was told to go deeper. Competition in the broader VR market simply never took off the way Meta expected, one person said. The result: a division long viewed as a money sink is finally being reined in.

Wall Street cheered. Meta’s stock jumped more than 4% Thursday on the news, adding roughly $69 billion in market value.

“Smart move, just late,” Craig Huber of Huber Research told Reuters. Investors have been complaining for years that the metaverse effort was an expensive distraction, one that drained resources without producing meaningful revenue.

Metaverse out, AI in

Meta didn’t immediately respond to Fortune’s request for comment, but it insists it isn’t killing the metaverse outright. A spokesperson told the South China Morning Post that the company is “shifting some investment from Metaverse toward AI glasses and wearables,” point­ing to momentum behind its Ray-Ban smart glasses, which Zuckerberg says have tripled in sales over the past year.

But there’s no avoiding the reality: AI is the new obsession, and the new money pit.

Meta expects to spend around $72 billion on AI this year, nearly matching everything it has lost on the metaverse since 2021. That includes massive outlays for data centers, model development, and new hardware. Investors are much more excited about AI burn than metaverse burn, but even they want clarity on how much Meta will ultimately be spending — and for how long.

Across tech, companies are evaluating anything that isn’t directly tied to AI. Apple is revamping its leadership structure, partially around AI concerns. Microsoft is rethinking the “economics of AI.” Amazon, Google, and Microsoft are pouring billions into cloud infrastructure to keep up with demand. Signs point to money-losing initiatives without a clear AI angle being on the chopping block, with Meta as a dramatic example.

On the company’s most recent earnings call, executives didn’t use the word “metaverse” once.



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Robert F. Kennedy Jr. turns to AI to make America healthy again

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HHS billed the plan as a “first step” focused largely on making its work more efficient and coordinating AI adoption across divisions. But the 20-page document also teased some grander plans to promote AI innovation, including in the analysis of patient health data and in drug development.

“For too long, our Department has been bogged down by bureaucracy and busy-work,” Deputy HHS Secretary Jim O’Neill wrote in an introduction to the strategy. “It is time to tear down these barriers to progress and unite in our use of technology to Make America Healthy Again.”

The new strategy signals how leaders across the Trump administration have embraced AI innovation, encouraging employees across the federal workforce to use chatbots and AI assistants for their daily tasks. As generative AI technology made significant leaps under President Joe Biden’s administration, he issued an executive order to establish guardrails for their use. But when President Donald Trump came into office, he repealed that order and his administration has sought to remove barriers to the use of AI across the federal government.

Experts said the administration’s willingness to modernize government operations presents both opportunities and risks. Some said that AI innovation within HHS demanded rigorous standards because it was dealing with sensitive data and questioned whether those would be met under the leadership of Health Secretary Robert F. Kennedy Jr. Some in Kennedy’s own “Make America Health Again” movement have also voiced concerns about tech companies having access to people’s personal information.

Strategy encourages AI use across the department

HHS’s new plan calls for embracing a “try-first” culture to help staff become more productive and capable through the use of AI. Earlier this year, HHS made the popular AI model ChatGPT available to every employee in the department.

The document identifies five key pillars for its AI strategy moving forward, including creating a governance structure that manages risk, designing a suite of AI resources for use across the department, empowering employees to use AI tools, funding programs to set standards for the use of AI in research and development and incorporating AI in public health and patient care.

It says HHS divisions are already working on promoting the use of AI “to deliver personalized, context-aware health guidance to patients by securely accessing and interpreting their medical records in real time.” Some in Kennedy’s Make America Healthy Again movement have expressed concerns about the use of AI tools to analyze health data and say they aren’t comfortable with the U.S. health department working with big tech companies to access people’s personal information.

HHS previously faced criticism for pushing legal boundaries in its sharing of sensitive data when it handed over Medicaid recipients’ personal health data to Immigration and Customs Enforcement officials.

Experts question how the department will ensure sensitive medical data is protected

Oren Etzioni, an artificial intelligence expert who founded a nonprofit to fight political deepfakes, said HHS’s enthusiasm for using AI in health care was worth celebrating but warned that speed shouldn’t come at the expense of safety.

“The HHS strategy lays out ambitious goals — centralized data infrastructure, rapid deployment of AI tools, and an AI-enabled workforce — but ambition brings risk when dealing with the most sensitive data Americans have: their health information,” he said.

Etzioni said the strategy’s call for “gold standard science,” risk assessments and transparency in AI development appear to be positive signs. But he said he doubted whether HHS could meet those standards under the leadership of Kennedy, who he said has often flouted rigor and scientific principles.

Darrell West, senior fellow in the Brooking Institution’s Center for Technology Innovation, noted the document promises to strengthen risk management but doesn’t include detailed information about how that will be done.

“There are a lot of unanswered questions about how sensitive medical information will be handled and the way data will be shared,” he said. “There are clear safeguards in place for individual records, but not as many protections for aggregated information being analyzed by AI tools. I would like to understand how officials plan to balance the use of medical information to improve operations with privacy protections that safeguard people’s personal information.”

Still, West, said, if done carefully, “this could become a transformative example of a modernized agency that performs at a much higher level than before.”

The strategy says HHS had 271 active or planned AI implementations in the 2024 financial year, a number it projects will increase by 70% in 2025.



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Construction workers are earning up to 30% more in the data center boom

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Big Tech’s AI arms race is fueling a massive investment surge in data centers with construction worker labor valued at a premium. 

Despite some concerns of an AI bubble, data center hyperscalers like Google, Amazon, and Meta continue to invest heavily into AI infrastructure. In effect, construction workers’ salaries are being inflated to satisfy a seemingly insatiable AI demand, experts tell Fortune.

In 2026 alone, upwards of $100 billion could be invested by tech companies into the data center buildout in the U.S., Raul Martynek, the CEO of DataBank, a company that contracts with tech giants to construct data centers, told Fortune.

In November, Bank of Americaestimated global hyperscale spending is rising 67% in 2025 and another 31% in 2026, totaling a massive $611 billion investment for the AI buildout in just two years.

Given the high demand, construction workers are experiencing a pay bump for data center projects.

Construction projects generally operate on tight margins, with clients being very cost-conscious, Fraser Patterson, CEO of Skillit, an AI-powered hiring platform for construction workers, told Fortune.

But some of the top 50 contractors by size in the country have seen their revenue double in a 12-month period based on data center construction, which is allowing them to pay their workers more, according to Patterson.

“Because of the huge demand and the nature of this construction work, which is fueling the arms race of AI… the budgets are not as tight,” he said. “I would say they’re a little more frothy.”

On Skillit, the average salary for construction projects that aren’t building data centers is $62,000, or $29.80 an hour, Patterson said. The workers that use the platform comprise 40 different trades and have a wide range of experience from heavy equipment operators to electricians, with eight years as the average years of experience.

But when it comes to data centers, the same workers make an average salary of $81,800 or $39.33 per hour, Patterson said, increasing salaries by just under 32% on average.

Some construction workers are even hitting the six-figure mark after their salaries rose for data center projects, according to The Wall Street Journal. And the data center boom doesn’t show any signs it’s slowing down anytime soon.

Tech companies like Google, Amazon, and Microsoft operate 522 data centers and are developing 411 more, according to The Wall Street Journal, citing data from Synergy Research Group. 

Patterson said construction workers are being paid more to work on building data centers in part due to condensed project timelines, which require complex coordination or machinery and skilled labor.

Projects that would usually take a couple of years to finish are being completed—in some instances—as quickly as six months, he said.

It is unclear how long the data center boom might last, but Patterson said it has in part convinced a growing number of Gen Z workers and recent college grads to choose construction trades as their career path.

“AI is creating a lot of job anxiety around knowledge workers,” Patterson said. “Construction work is, by definition, very hard to automate.”

“I think you’re starting to see a change in the labor market,” he added.



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