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AI increasingly replaces young entry-level workers  

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By Naveen Athrappully 
Contributing Writer 

Early-career workers, aged 22-25, face a disproportionate threat to job loss from the widespread adoption of generative artificial intelligence, according to a recent research paper from Stanford University. 

These workers, in most AI-exposed occupations, have experienced a 13% relative decline in employment, said the authors of the research published online on Tuesday. 

“In contrast, employment for workers in less exposed fields and more experienced workers in the same occupations has remained stable or continued to grow.” 

The team of researchers — Erik Brynjolfsson, senior fellow at Stanford, Bharat Chandar, a postdoctoral researcher, and Ruyu Chen, a research scientist — used data collected from ADP, the largest payroll software provider in the United States. 

They found that employment declines in the American labor market are mostly happening in occupations susceptible to AI automation, and not as much in environments where human labor is augmented. 

Software developers and customer service representatives were some of the most disrupted work environments following the significant proliferation of AI deployment, according to the researchers. Meanwhile, work for more experienced employees in the same sectors continued to grow. 

Employment trends for “workers of all ages in less-exposed occupations such as nursing aides have remained stable,” said the paper. 

OpenAI CEO Sam Altman made similar observations during a discussion at the Federal Reserve Conference last month. 

When asked which areas could see a significant amount of job losses due to AI, Altman said, “Some areas … are totally gone,” a reference to AI service bots replacing customer support human agents. 

Altman further talked about the diagnostic capabilities of ChatGPT, but said he would not entrust it with his medical treatment without having a human doctor in the loop. This occupation class will continue to remain, even with AI. 

Not All Jobs or Workers 

Regarding computer programmers, Altman said they were 10 times more productive compared to before, with salaries rising in Silicon Valley. He did not address any specific categories of programmers. 

“Things in the physical world will keep being done by humans for a while, but when this robotics wave comes crashing in, in another three to seven years, I think that’ll be a really big thing for society to reckon with,” said Altman. 

According to Stanford researchers, data patterns related to shifting employment trends started in late 2022, around the time of the rapid proliferation of generative AI tools. 

While AI may work toward replacing “book-learning” knowledge shown by entry-level workers, it will be less capable of substituting “tacit knowledge, the idiosyncratic tips and tricks that accumulate with experience,” they said. 

Older workers thus remain less vulnerable to replacement. 

Employment for 22- to 25-year-old software developers has gone down approximately 20% from the peak in 2022, said Chandar in a Tuesday X thread post, adding that older ages show a steady rise in employment. 

Chandar said that health aides revealed an opposite trend, with youngsters seeing the fastest employment growth. 

Chandar also pointed out the economic circumstances currently prevailing in the country, and said that not all job losses were attributable to AI. 

According to a July 31 report from outplacement firm Challenger, Gray & Christmas, American companies announced 62,075 job cuts in July, up 29% from 47,999 in June, and up 140% from last year. 

“AI was cited for over 10,000 cuts last month, and tariff concerns have impacted nearly 6,000 jobs this year,” said Andrew Challenger, senior vice president of the firm. 

Investment bank Goldman Sachs paints a more moderate outlook in a recent report. 

Goldman said that AI could displace 6-7% of the U.S. workforce if AI is widely adopted; however, the impact will be short-lived. AI will open up new job opportunities. 

“A recent pickup in AI adoption and reports of AI-related layoffs have raised concerns that AI will lead to widespread labor displacement,” said Joseph Briggs, who co-leads the Global Economics team in Goldman Sachs Research with economist Sarah Dong. “While these trends could broaden as adoption increases, we remain skeptical that AI will lead to large employment reductions over the next decade.” 

Around 60% of occupations today did not exist in 1940, said Goldman. Most of the jobs today are driven by technological innovations. 

“Predictions that technology will reduce the need for human labor have a long history but a poor track record,” Briggs and Dong said. 

Goldman also noted that AI adoption remains relatively low, especially among mid-sized and small enterprises. 

Briggs and Dong concluded that occupations at the highest risk of being displaced by AI in the coming years include computer programmers, accountants and auditors, legal and administrative assistants, customer service representatives, telemarketers, proofreaders and copy editors, and credit analysts. 

Those at the least risk of being displaced are air traffic controllers, chief executives, radiologists, pharmacists, residential advisors, photographers and members of the clergy. 



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Prediction: This Monster Artificial Intelligence (AI) Chip Stock Will Soar in September (Hint: It’s Not Nvidia)

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Broadcom is scheduled to report earnings on Sept. 4.

Over the past several weeks, investors have been bombarded with a wave of updates as companies reported earnings results for the second calendar quarter. For technology investors, artificial intelligence (AI) remains the dominant theme fueling the sector higher.

As I write this (mid-day on Aug. 27), all of the “Magnificent Seven” have posted earnings — with the lone exception being Nvidia (NVDA -3.38%), which reports later today. Still, the breadcrumbs left by big tech point to an undeniable trend: Spending on AI infrastructure is accelerating.

While this is undeniably bullish for graphics processing unit (GPU) leaders like Nvidia and Advanced Micro Devices, it also creates a powerful tailwind for systems integration specialist Broadcom (AVGO -3.70%).

With Broadcom slated to report earnings on Sept. 4, I predict the stock is well-positioned to rally.

Let’s explore why I’m optimistic about Broadcom’s upcoming earnings report, and assess whether the stock is a compelling buy at current levels.

Follow big tech’s breadcrumbs

Global hyperscalers such as Amazon, Alphabet, Microsoft, and Meta Platforms have been spending record sums on capital expenditures (capex) over the last few years. While this clearly bodes well for Nvidia and AMD, Broadcom has also been a quiet beneficiary of rising AI infrastructure investment.

Data by YCharts.

One of Broadcom’s key AI growth drivers comes from its application-specific integrated circuits (ASICs) business. These custom silicon solutions allow customers to design chips that are optimized for their unique workloads.

By integrating purpose-built performance with compute power efficiency, Broadcom’s ASICs help hyperscalers lower their total cost of infrastructure relative to relying solely on off-the-shelf accelerators from the likes of Nvidia. This becomes highly desirable as training and inferencing workloads scale and become increasingly complex as more sophisticated AI use cases unfold.

Broadcom’s networking division is also positioned to benefit materially from the ongoing AI infrastructure cycle. As big tech continues to pour hundreds of billions of dollars annually into GPU deployment, Broadcom’s supporting infrastructure becomes an indispensable unsung hero.

The company’s portfolio of high-performance switches, interconnects, and optical components delivers low-latency, high-bandwidth connectivity to keep next-generation accelerators running at full speed. In essence, the company’s networking gear represents a foundational layer of AI data center construction — ensuring scalability and efficiency as workloads expand.

Person installing networking equipment in a data center.

Image source: Getty Images.

Management likes the stock — shouldn’t you?

With a forward price-to-earnings (P/E) multiple of 45, Broadcom certainly isn’t trading at a discount. In fact, its multiple sits near peak levels seen during the AI revolution.

AVGO PE Ratio (Forward) Chart

Data by YCharts.

Even so, the company’s board of directors authorized a $10 billion stock buyback program back in April. Share buybacks at elevated valuations can point to a strong signal: Management remains confident in Broadcom’s long-term growth trajectory, underscored by ongoing hyperscaler investment. On a more subtle note, sometimes companies repurchase their own shares when management thinks the stock is undervalued.

These dynamics could suggest that Broadcom is positioned for sustained, robust earnings growth, which could fuel further valuation expansion — even in the face of a premium multiple.

Is Broadcom stock a buy right now?

For the last few years, the AI trade has largely surrounded Nvidia and the cloud hyperscalers. Yet as infrastructure spending accelerates, the scope of the AI opportunity is broadening to other mission-critical enablers such as Broadcom. Custom chips, high-performance networking equipment, and integrated systems are now just as essential as securing GPUs — and Broadcom sits squarely at this intersection.

In my eyes, Broadcom is approaching its own “Nvidia moment” — a potential inflection where the narrative begins to recognize Broadcom as a supporting pillar of AI infrastructure and not simply an ancillary beneficiary of these tailwinds.

Against this backdrop, I predict that Broadcom’s September earnings report will reinforce its strategic importance in the AI landscape — fueling investor enthusiasm and a further rerating of the stock. For these reasons, I see Broadcom as a compelling opportunity to buy and hold over a long-term time horizon.

Adam Spatacco has positions in Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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AI Model Betting Is the New Fantasy Football

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Sports gambling has DraftKings. Political junkies have PredictIt. And now the world’s nerdiest corner — the artificial intelligence (AI) scene — has its own set of bettors, where people wager actual money on whether Google’s Gemini will dunk on OpenAI’s GPT-5 this month.

Forget fantasy football, this is fantasy machine learning.

People are placing their bets on markets like Kalshi, where they can trade on the outcome of real-world events, everything from when Taylor Swift and Travis Kelce will wed to whether Google will break up and, of course, the AI model race. Kalshi saw 10 times the volume on AI trades compared with the start of the year, according to The Wall Street Journal.

“Kalshi’s markets are extremely efficient and serve as a source of truth on the likelihood of all events, including AI model progress,” Jack Such, a spokesperson for the company, told PYMNTS.

So who’s winning based on the bets?

“Gemini is the current market leader for ‘Best AI’ by the end of 2025,” Such said.

On Kalshi, Gemini shows a 58% probability of winning, compared with 19% for ChatGPT, as of midmorning on Thursday (Aug. 28). The third spot goes to Grok, at 17%. Claude, which Menlo Ventures said was the enterprise favorite, clocks in at 2% and tied with Meta’s Llama.

The total trading volume reached $8.1 million.

Kalshi is just one of several platforms that are pivoting to AI trading.

Other players include Polymarket, an offshore crypto-based prediction market, Manifold Markets, Metaculus and other sites.

Which AI model is winning globally? The AI community abroad agrees with the Americans. Polymarket, which is only available to non-Americans, predicts that Google will win by year’s end, at 66% odds. OpenAI comes in at 16% probability while xAI is third with 14%.

See also: Crypto Firms Grapple with Bank-Like Risks, Without the Regulation

Betting on Anything in the World

How Kalshi works: People bet yes or no on outcomes in the real world, such as whether the Fed will cut short-term interest rates by 25 basis points in September (76% probability it will) or who will win the Nobel Peace Prize (Yulia Navalnaya, widow of Russian opposition leader Alexei, is at 20% probability and Donald Trump at 10%).

Bettors buy contracts tied to these outcomes at prices between a penny and 99 cents, settling at $1. For example, if a bettor buys a contract for 40 cents and they guess the outcome correctly, they are paid $1. If they guessed wrong, they lose their 40 cents. Bettors can also sell the contract before there’s an outcome if they see the contract price go up or down.

In a tie, the default would be a negative outcome.

For AI models, results will be determined by the rankings on the LMSYS Chatbot Arena Leaderboard at the end of the year, according to Kalshi.

Currently, the leaderboard shows Gemini 2.5 pro slightly ahead of GPT-5 for first place, followed closely by Claude Opus.

One Kalshi user noticed a tie earlier this month and wrote, “it’s a tight race on LMArena. I don’t understand why the spread is so drastic. Huge earnings for people who bet on GPT with decent odds that it will flip.”

Kalshi began allowing bettors to trade on AI models in 2023. “We were confident in consumer demand for these products because of the rapid growth of AI and the economic and political consequences of model progress,” Such said.

Kalshi said the U.S. Commodity Futures Trading Commission regulates it as a financial exchange for trading futures, swaps and options on commodities.

“Understanding that Kalshi is regulated … helps reassure users that they are engaging with a platform that adheres to the highest standards of operation and accountability,” the company says on its site.

Here’s to hoping the bet will be good.

Read more:

Cross-Border Payments Platform Wise Proposes Moving Stock Market Listing to US

Ripple Prepares to Bring Stablecoin to Global Exchanges

FTX Drops Plans to Resurrect Fallen Crypto Exchange



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How Silicon Valley is using religious language to talk about AI

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TORONTO — As the rapid, unregulated development of artificial intelligence continues, the language people in Silicon Valley use to describe it is becoming increasingly religious.

From predicting the potential destruction of humanity to a transhumanist apocalypse where people merge with AI, here’s what some of the key players are saying.

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“I think religion will be in trouble if we create other beings. Once we start creating beings that can think for themselves and do things for themselves, maybe even have bodies if they’re robots, we may start realizing we’re less special than we thought. And the idea that we’re very special and we were made in the image of God, that idea may go out the window.”

— Nobel Prize winner Geoffrey Hinton, often dubbed the “Godfather of AI” for his pioneering work on deep learning and neural networks.

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“By 2045, which is only 20 years from now, we’ll be a million times more powerful. And we’ll be able to have expertise in every field.”

— author and computer scientist Ray Kurzweil, who believes humans will merge with AI.

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“There certainly are dimensions of the technology that have become extremely powerful in the last century or two that have an apocalyptic dimension. And perhaps it’s strange not to try to relate it to the biblical tradition.”

— PayPal and Palantir co-founder Peter Thiel speaking to the Hoover Institution at Stanford University.

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“I feel that the four big AI CEOs in the U.S. are modern-day prophets with four different versions of the Gospel and they’re all telling the same basic story that this is so dangerous and so scary that I have to do it and nobody else.”

— Max Tegmark, a physicist and machine learning researcher at the Massachusetts Institute of Technology.

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“When people in the tech industry talk about building this one true AI, it’s almost as if they think they’re creating God or something.”

— Meta CEO Mark Zuckerberg on a podcast promoting his company’s own venture into AI.

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“Everyone (including AI companies!) will need to do their part both to prevent risks and to fully realize the benefits. But it is a world worth fighting for. If all of this really does happen over 5 to 10 years — the defeat of most diseases, the growth in biological and cognitive freedom, the lifting of billions of people out of poverty to share in the new technologies, a renaissance of liberal democracy and human rights — I suspect everyone watching it will be surprised by the effect it has on them.”

— Anthropic CEO Dario Amodei in his essay, “Machines of Loving Grace: How AI Could Transform the World for the Better.”

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“You and I are living through this once-in-human-history transition where humans go from being the smartest thing on planet Earth to not the smartest thing on planet Earth.”

— OpenAI CEO Sam Altman during an interview for TED Talks.

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“These really big, scary problems that are complex and challenging to address — it’s so easy to gravitate towards fantastical thinking and wanting a one-size-fits-all global solution. I think it’s the reason that so many people turn to cults and all sorts of really out there beliefs when the future feels scary and uncertain. I think this is not different than that. They just have billions of dollars to actually enact their ideas.”

— Dylan Baker, lead research engineer at the Distributed AI Research Institute.



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