AI’s biggest impact: Which sectors have benefited most as job security remains a vital concern

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It’s been more than a year since the general public first gained access to OpenAI’s ChatGPT, giving industries a chance to experiment with artificial intelligence (AI) and feel its transformative potential, or lack thereof. I did.

“Industries with large amounts of data that need to be indexed and processed quickly are ripe for AI integration,” Reema Khan, founder and CEO of Green Sands Equity, told Fox News. told Digital. “In technology, for example, writing thousands of lines of code is much easier when he has an AI co-pilot, making his software engineer 10 times more productive than her.”

The U.S. economy added more than 353,000 jobs in January 2024, but the tech sector continues to suffer significant layoffs. Google laid off hundreds of employees from its sales and advertising teams that month as part of multiple cost-cutting measures.

Job security remains a top concern when it comes to long-term adoption of AI in any industry. Many people worry and wonder if their industry will be the next to integrate AI, making their position redundant. AI, in one form or another, has been in development for over 50 years. This means that a technology that many people have already tested in one form or another in recent years has seen its most widespread application and recognition in the last year.

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As an example, “Customer support across multiple industries is rapidly moving to AI,” says Dev Nag, founder and CEO of QueryPal, an AI-powered assistant. “For example, Klarna recently announced that its AI assistant has covered the work of 700 laid-off employees and has so far handled “two-thirds” of customer chats, or 2.3 million conversations. He claimed to have done it. ”

An analysis by consulting firm McKinsey & Company found that the majority of industries are at least trying to use AI technology. Perhaps unsurprisingly, technology, media, and communications companies are the ones you’re most likely to integrate with and use outside of work on a regular basis.

Energy and materials companies show the most resistance to regular adoption, while consumer goods and retail companies show the least attempts to integrate AI, even in one-off attempts. has been done. And that trend is unlikely to change, according to Khan.

“Although AI is currently good at assisting with computational and memorization tasks, anything that requires human interaction or intuition will still be an expertise for non-AI tasks,” Khan said. “Humans will differentiate themselves in these tasks compared to AI, and we think this trend will only grow stronger.”

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Nag said industries that rely the most on “highly trusted face-to-face relationships and those subject to stronger regulatory and distribution gatekeepers” have shown greater resistance to AI adoption. agreed that resistance to change is likely to continue.

“AI is probably having the biggest impact on consumer apps because voice assistants are as commonplace as watches (be it Amazon Echo or mobile voice assistants) and spam filters are getting better. “This is because facial recognition (in online photos and real-world cameras) is being pushed far beyond what traditional computer vision algorithms can hope to achieve,” he added.

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On February 3, 2023, YouTube Music subcontract workers employed by Alphabet’s outsourcing partner Cognizant went on strike in front of Google’s offices in Austin, Texas. (Suzanne Cordeiro/AFP via Getty Images)

However, AI thought leader and technology investor Ed Wataru remains bullish on the general adoption of AI across industries, stating that organizations’ boards of directors and C-level personnel are showed greater awareness of the “potential benefits and risks of not being an early adopter”. technology.

“It’s an industry that’s primarily service-oriented and has a lot of blue-collar roles that require a remote, distributed workforce,” Wataru told FOX News Digital. He cited industries such as home maintenance and construction as being more resistant to early adoption of AI.

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“The more inconsistent business processes within an industry, the more difficult it is to implement AI. For example, supply chains where suppliers change less frequently have a better chance of integrating AI within their processes,” he said. Stated.

“On the one hand, AI is being applied to automatically screen resumes and vet candidates, and on the other hand, people are using AI to create resumes that better match their requirements.” explained Wataru. “All of this has raised questions about bias and fairness in hiring and the ethics of resume writing.”

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AI-generated visitors and participants during worship. (Daniel Fogle/Photo Alliance via Getty Images)

Walal suggested that those looking to explore the potential that AI can offer within their industry should follow a “simple three-step approach” to gain recognition. Learn core concepts and terminology around AI, start learning about personal productivity AI tools, and learn core uses. The case for AI in specific industries.

Mr. Wataru also said, There are layoffs in some industries. While this may raise concerns, it remains difficult to quantify whether job losses have occurred as a result of AI adoption, as “employment numbers have generally declined year-on-year since 2021.” It is.


However, according to the U.S. Bureau of Labor Statistics, labor-intensive sectors such as mining and logging are hardest hit by job losses as of February 2024. The largest increases in employment were in education and health services.