The antitrust enforcer in the United States, Jonathan Kanter, has initiated an investigation into the nation's artificial intelligence (AI) sector due to apprehensions regarding a few companies' excessive control. Kanter, in a report by the Financial Times, mentioned his scrutiny of AI's competitive landscape and 'monopoly choke points.' This analysis encompasses aspects like computing power, data utilized for training large language models (LLMs), cloud service providers, engineering talent, and hardware.
U.S. Official's Focus on Preventing AI Monopoly
Kanter emphasizes the necessity for swift action within the AI sector to prevent dominant technology firms from acquiring complete market control. Regulators are wary that AI stands at a peak of competition rather than a baseline, signaling potential concerns. The official advocates for real-time interventions as a less intrusive means of ensuring fair competition.
Notably, Kanter shed light on the scarcity of graphics processing units (GPUs) crucial for training LLMs. He also mentioned the scrutiny by antitrust authorities on how chipmakers distribute their advanced products amid escalating demand.
On May 23, renowned GPU provider Nvidia unveiled its Q1 earnings report, revealing a remarkable 262% revenue surge compared to the previous year. Following this announcement, Nvidia's stock prices skyrocketed to a historic high of $1,007, propelling its valuation beyond $2.5 trillion.
Kanter highlighted existing governmental endeavors aimed at enhancing production, such as subsidies for chip manufacturing. The Chips and Science Act of 2022, signed into law, allocates $39 billion in subsidies for fostering chip manufacturing within the country.
Concerns Regarding AI Monopoly
In 2023, Janet Adams, the chief operating officer of SingularityNET, expressed apprehensions concerning Big Tech corporations monopolizing artificial general intelligence (AGI), a theoretical form of AI capable of human-like cognitive functions. Adams, in an interview with Cointelegraph, voiced concerns about a potential 'dystopic' future if AI monopolization occurs. She believes that these major corporations could exploit AI for the benefit of a privileged few, exacerbating societal inequalities.
To avert such scenarios, Adams advocates for decentralized AI development utilizing blockchain technology.
