The Service Economy Faces the Risk of Becoming a Winner-Take-All Game Due to AI

The Service Economy Faces the Risk of Becoming a Winner-Take-All Game Due to AI

The ⁢rapid deployment of Artificial Intelligence (AI) applications, ⁣computer systems that mimic human intelligence, could turn the‍ service economy into a winner-take-everything game. A few ‍large companies developing the hardware and the software ‌that powers these ‌systems would capture⁣ almost ‍all the value the service economy ‌creates, with far-reaching consequences for Wall‌ Street and Main Street.

Technology has always been a significant force of change in the economic game, benefiting society. For instance, the first and‌ second industrial revolutions led to the mechanization of​ the ⁤production of goods, the creation of large cities, and the‍ division of labor.

While these⁢ technologies favored larger companies over small ones and abolished​ some⁢ jobs; they created new ones that replaced⁣ the old ⁣ones. At the same time, they fostered the ⁣development⁢ of new products and productivity that benefited everyone.

The third⁣ industrial revolution brought many more ⁤changes‌ in how economies produce goods and services. It advanced further the division of labor and raised productivity. Still, ‍it tipped the game‍ towards a smaller group of countries, companies, and⁤ individuals who possess knowledge, the critical resource behind this⁤ revolution.

The ‍”fourth industrial revolution,” driven by​ AI systems, will accelerate this trend for several reasons. First, it moves at a rapid pace.

“AI is⁤ taking ‌a variety of different shapes ⁤and forms, ‍but regardless of its specific design or functionality, the overall ⁣goal behind ‍AI is to improve and advance,” David Kemmerer, CEO of CoinLedger, told International Business Times. “These past few years of AI development have⁤ shown us that the‍ improvement and advancement brought on by AI moves ​at an exponential rate.”

Second, the job replacements will be massive, concentrated in the service sector, which provides two-thirds of jobs in developed countries like the U.S. Service jobs not⁣ touched by the previous revolutions, like accounting, medical, ​legal, and educational services, will​ be at the mercy of​ AI systems.

Third, AI systems use hardware and software tools developed by a ​handful of companies. For instance, AI hardware uses​ Nvidia and AMD,‍ Intel, Apple, IBM, Alphabet, and Qualcomm. Likewise,⁢ AI systems‌ use software made by Microsoft, Alphabet, Google, and Amazon software.

The massive replacement of⁤ service jobs by AI systems⁢ and the ‍concentration of production of‍ these ⁤systems to a few large companies ⁣further means⁢ the tipping of the balance between labor and capital income in favor of the second. It additionally implies that⁢ the shares of these⁣ large companies that make the AI systems are good long-term investments ‌despite the big run-up​ in‌ 2023.

Kemmerer advises companies to rush ⁢to join ⁢the AI trend‌ to survive and thrive in the AI economy. “The sooner‌ a company can⁢ hop onto a new kind of AI technology that proves innovative, the further ahead of the competition they can get,” he elaborated.

“So,​ because of the exponential rate of AI⁢ growth, AI may ‍turn the world economy into a winner-take-everything game,” he added. ⁢”Those economic powers ⁤with more resources can⁢ afford to adopt new AI sooner, putting them⁢ on the fast track to success ⁢while‍ smaller economic powers could be ‌left behind, trying to catch up.”

Josh Amishav, Founder and CEO, provides further insight into how this economic divide⁣ in the service sector would unfold. “AI systems, ‌particularly those ⁢involving deep learning, have‍ potent network effects,” he told IBT.

“They become more accurate⁤ and valuable as they’re trained on more‌ data. This creates a feedback loop that widens the gap between leaders⁢ and laggards. If⁤ this plays⁤ it, ‌it will create ⁣a situation where a single⁣ dominant AI ​player ​emerges in a particular market or domain.”

Still, Steven Pivnik,⁢ serial ‍entrepreneur specializing​ in the information technology market and the ​author of‌ “Built to Finish: How to Go the Distance in‍ Business and in Life”, is still working on the ⁤idea that AI would turn the service economy into ​a winner-take-all game.

“Not,” he told IBT. “AI has made INCREDIBLE advancements,⁤ but nothing will‌ compensate for real-world experience and trials by fire with leadership facing challenging scenarios. AI ​can provide historical guidance ​on past events, but current thinking continues ​to evolve, and AI does⁣ not benefit from that.”

Eric Eng, a business‌ owner and ‌the founder and CEO ​of AdmissionSight, is of a similar opinion.

“AI is indeed transformative, but it doesn’t necessarily mean it will turn​ the ⁢world’s economy into a winner-take-all game,” he elaborated. “AI can potentially boost economic productivity and‌ wealth, but its impact can⁣ be both inclusive and disruptive. But,⁤ if you’re wondering ​whether AI will create a​ “winner takes everything” game, the answer⁢ is no.”

Artificial intelligence

2024-01-03 13:00:03
Source from www.ibtimes.com

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