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generating fear

Employees who use generative AI are more likely to worry about losing their jobs to generative AI

Rani Molla

People who use generative AI are getting confident with it, according to findings from a new survey from BCG of more than 13,000 employees. They also think they’re playing with fire.

About half of those who use generative AI tools regularly at their jobs think those jobs will disappear in the next decade, compared with about a quarter of those who don’t use the tech.

“Employees who regularly use generative AI are more likely to worry about job security because they recognize AI's potential to automate tasks, often lack adequate training, and feel unprepared for the shift towards more strategic roles,” Matt Kropp, BCG managing director and senior partner, told Sherwood. “This heightened awareness and the ongoing organizational changes contribute to their increased anxiety about the future of their jobs.”

Regular genAI use has increased across all parts of organizations, but it’s still the highest among the management class. Currently 82% of leadership uses AI for work, compared with 43% of frontline employees.

Interestingly enough, leadership’s familiarity with genAI hasn’t cause them to worry much about their future employment.

“While our results did indicate that some leaders are also prone to believing their jobs could disappear over the next decade, they generally express more confidence in genAI and do not necessarily view it as a direct threat to their roles,” Kropp said. “This confidence is bolstered by better access to AI training and a clearer understanding of how AI can be integrated to drive organizational success”

People who use the technology are most likely to say it helps them save time and work more quickly. They also credit it with increasing the quality of their work and lessen administrative tasks. About half of employees said they saved at least five hours a week using the tech at work.

Fortunately for those fearful of their jobs, the pivot to AI will likely take longer than their bosses think.

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Report: China’s “Manhattan Project” built an advanced EUV chip fab prototype

The most advanced chipmaking process in the world is currently owned by one company: Dutch chipmaker ASML.

The process, known as extreme ultraviolet lithography (EUV), allows for the smallest, most complex semiconductors to be etched onto silicon chips.

These advanced chips are used in a huge number of crucial industries such as AI, mobile phones, and weapons manufacturing.

A new report from Reuters says that China has completed a factory-sized prototype of an EUV chip fab, a first that could have huge ramifications for the balance of power in the global technology race.

The prototype was built in a high-security facility in Shenzhen by former ASML employees and made use of secondary markets to acquire older, used ASML parts, according to the report. Despite a goal of delivering working chips by 2028, sources say China is likely a couple years behind that schedule.

ASML’s $250 million EUV machines are used to manufacture advanced chips for Nvidia, Advanced Micro Devices, and for chips made by TSMC.

ASML shares were down about 4.8% as of 12 p.m. ET.

These advanced chips are used in a huge number of crucial industries such as AI, mobile phones, and weapons manufacturing.

A new report from Reuters says that China has completed a factory-sized prototype of an EUV chip fab, a first that could have huge ramifications for the balance of power in the global technology race.

The prototype was built in a high-security facility in Shenzhen by former ASML employees and made use of secondary markets to acquire older, used ASML parts, according to the report. Despite a goal of delivering working chips by 2028, sources say China is likely a couple years behind that schedule.

ASML’s $250 million EUV machines are used to manufacture advanced chips for Nvidia, Advanced Micro Devices, and for chips made by TSMC.

ASML shares were down about 4.8% as of 12 p.m. ET.

tech

Google is reportedly working with Meta to expand software support for its AI chips

Nvidia dominates the market for AI chips. But its advantage is not limited to hardware.

The company has a growing suite of software tools that are usually paired with its chips, optimized to get the most out of the GPUs crunching the data.

Any challengers to Nvidia’s dominance will need to make it easy for developers to walk away from the Nvidia software-hardware lock-in. That’s what Google and Meta are teaming up to do.

A new report from Reuters says Google is working on an initiative code-named “TorchTPU,” which aims to make it easier for AI developers who use the ubiquitous, open-source PyTorch software framework to switch the hardware layer to Google’s tensor processing units (TPUs).

Meta is a huge backer of the PyTorch project, so the company is teaming up with Google to help develop its TorchTPU software, per the report.

Last month, it was reported that Google is planning on selling TPUs worth “billions of dollars” to Meta, which follows other Big Tech players who are hedging their bets against Nvidia’s dominance.

Any challengers to Nvidia’s dominance will need to make it easy for developers to walk away from the Nvidia software-hardware lock-in. That’s what Google and Meta are teaming up to do.

A new report from Reuters says Google is working on an initiative code-named “TorchTPU,” which aims to make it easier for AI developers who use the ubiquitous, open-source PyTorch software framework to switch the hardware layer to Google’s tensor processing units (TPUs).

Meta is a huge backer of the PyTorch project, so the company is teaming up with Google to help develop its TorchTPU software, per the report.

Last month, it was reported that Google is planning on selling TPUs worth “billions of dollars” to Meta, which follows other Big Tech players who are hedging their bets against Nvidia’s dominance.

$100B

Waymo, Alphabet’s autonomous driving subsidiary, is in talks to raise more than $15 billion in a funding round that would value the company near $100 billion, Bloomberg reports. That’s more than double the valuation from its last round in October 2024, reflecting its lead in driverless ride-hailing.

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