Americans' AI Concerns Rise as Galaxy Digital CEO Warns of Bubble

A new round of AP-NORC polling shows that roughly 72% of Americans believe artificial intelligence is developing too quickly, a figure that has held steady across multiple surveys conducted over the past few years. About 64% of respondents say it is highly important for the government to regulate AI, and around 8 in 10 adults want the technology kept under human control. Concerns about job displacement and bias in decision-making cut across party lines, though Democrats and Republicans differ on priorities such as competing with China.

The same polling data reveals that about 55% of Americans see AI as a threat to society, and 57% believe it will have a major impact on the job market within the next decade. Around 62% expect AI will significantly affect their daily lives. These findings have prompted calls for stronger oversight, with the Biden administration previously preparing an AI bill of rights focused on responsible development and privacy protections.

In the investment world, worries about overvaluation are growing. Galaxy Digital CEO Mike Novogratz called the AI trade the biggest bubble of our lifetime, and a London-based investment-bank strategist warned that the AI market could begin to disintegrate within two years. Despite strong Wall Street gains tied to AI, the strategist suggests a severe market crash could be on the horizon if valuations fail to match real-world returns.

On the practical side, LMSCapitalGroup launched a unified software platform that connects market feeds and account systems into a single real-time interface. The platform integrates with tools like MetaTrader 5 and WebTrader, and uses AI for risk detection while keeping final decisions in human hands. It follows a human-in-the-loop framework and a 1-to-3 business day service timeline with enterprise-grade encryption.

Meanwhile, Washington State University partnered with FanWord, an AI startup founded in 2019, to automate sports content like game recaps, player bios, and transcriptions. Athletic Director Jon Haarlow said the move improves storytelling efficiency, though some graduates worried it could reduce intern opportunities. Athletics spokesman Bobby Alworth said no full-time positions were eliminated and students will continue to gain hands-on experience.

Catalyst, a startup cofounded by Justin Zheng and Dylan Iskandar, raised $30 million in a seed round led by Sequoia to build AI trading agents for retail investors. The platform turns natural language into trading strategies, though a human must approve each trade. Other investors include Jump Trading, PeakXV, Lux Capital, AntiFund, Coinbase, and Premji Invest. Catalyst ran a pilot that generated hundreds of millions in trading volume in just a few weeks.

India now ranks among the world's top 10 economies on the AI Readiness Index, though only 4% of internet users in the country have used ChatGPT as of April 2025. Employer demand for AI talent nearly doubled from 3.1% in 2022 to 6% by early 2025, and AI investment in India has surpassed that in Germany, Israel, and Australia. The United States leads the global ranking with a perfect score of 100, followed by China at 53.8.

Research into AI personalization continues as well. A new framework called Mixture-of-Facets (MoF) allows black-box Large Language Models to be personalized for users not seen during training, without requiring additional parameter updates. The method delivers stronger personalization performance while remaining more scalable and parameter-efficient than prior approaches, with analysis showing strong generalization to unseen users.

A 2027 survey of 1,330 global board members and C-suite executives by Protiviti and NC State found that most organizations lack confidence in managing transformation, protecting value, and responding to risks simultaneously. Cyber threats, AI implementation risks, and economic uncertainty rank as top concerns. Only 38% feel confident in responding with agility, and the survey emphasizes that AI success depends on workforce enablement, integration, and governance rather than technology alone.

AI's economic reach is also expanding well beyond tech. Jay Jacobs of BlackRock noted that 60% of companies see positive returns from AI while 40% see little benefit. Growing demand for computing power is straining electricity grids, semiconductor supply, and materials like indium, with data center power needs potentially reaching 121 gigawatts by the end of the decade.

Key Takeaways

  • About 72% of Americans believe AI is developing too quickly, according to multiple AP-NORC polls
  • 64% of U.S. adults say government regulation of AI is highly important
  • Galaxy Digital CEO Mike Novogratz called the AI trade the biggest bubble of our lifetime
  • A London strategist warned the AI market could collapse within two years
  • LMSCapitalGroup launched an AI-powered platform with human-in-the-loop decision-making for portfolio data
  • Washington State University partnered with FanWord for AI-generated sports content, with no full-time positions cut
  • Catalyst raised $30 million in a seed round to build AI trading agents for retail investors
  • India ranks in the top 10 on the AI Readiness Index, but only 4% of internet users have used ChatGPT
  • Researchers proposed Mixture-of-Facets (MoF) to personalize black-box LLMs without additional parameter updates
  • A Protiviti-NC State survey found only 38% of organizations feel confident managing AI-related risks

Most Americans say AI is moving too fast, poll finds

A new AP-NORC poll found that 72% of Americans believe artificial intelligence is developing too quickly. The survey of 1,202 adults was conducted in January 2023. Most U.S. adults also say it is highly important for the government to regulate the technology. Experts worry about risks like job displacement and bias in decision-making.

Americans across parties worry about AI speed and control

A new Associated Press-NORC poll finds that 64% of Americans think AI is developing too fast. About 8 in 10 adults say it is extremely or very important for the government to keep AI under human control. Most also want the government to protect workers. The poll highlights bipartisan concern, though Democrats and Republicans differ on priorities like competing with China.

Poll shows Americans fear AI impact on jobs

A new AP-NORC poll conducted in October and November found that 72% of Americans believe AI is developing too quickly. The survey also found that 71% of Americans believe AI will have a major impact on the job market. Experts say the rapid growth of AI could lead to significant job losses and economic disruption.

Most Americans want government to regulate AI, poll shows

A new AP-NORC poll conducted from April 14 to 18 among 1,062 adults found that 72% of Americans believe AI is developing too quickly. About 64% say it is highly or very important for the government to regulate the technology. The poll also found that 57% of Americans believe AI will have a major impact on the job market in the next 10 years.

Americans worry AI will affect their lives and jobs

A new AP-NORC poll of 1,003 adults found that 72% of Americans believe AI is developing too quickly. About 62% believe AI will have a major impact on their lives in the next decade. The findings come as the Biden administration prepares to unveil a new AI bill of rights to promote responsible development and protect privacy.

Most Americans believe AI is advancing too quickly

A new AP-NORC poll found that 72% of Americans want the government to keep AI under human control. About 62% of people think AI is developing too fast and 55% see it as a threat to society. The poll was conducted in October 2026 with 1,500 adults. Most Americans still want AI to improve lives in a transparent way.

Poll shows Americans worry about AI speed

A new poll finds that most Americans are concerned about the rapid development of artificial intelligence. The survey shows worries about AI cross political party lines. Most respondents want the government to protect workers from job loss due to automation. The results highlight public concern over keeping AI under human control.

Strategist warns AI bubble could burst soon

A London investment-bank strategist warns that the AI trade could collapse within two years. The artificial-intelligence boom has driven markets higher but could lead to a severe market crash. The strategist suggests the AI bubble may begin to disintegrate as soon as next year. This warning comes as Wall Street continues to see strong AI-related gains.

Michael Novogratz calls AI the biggest bubble ever

Galaxy Digital CEO Mike Novogratz calls the AI trade the biggest bubble of our lifetime. His comments add to growing concerns about the current state of the AI market. Novogratz warns that the current AI boom could face serious problems. The statement highlights the risks of overvaluation in the technology sector.

LMSCapitalGroup details AI investment platform

LMSCapitalGroup announced a new software platform for managing investment data. The system connects market feeds and account processing into one interface. It works with tools like MetaTrader 5 and WebTrader. The platform uses AI for risk detection but keeps final decisions under human control. It follows a 1-to-3 business day service timeline and includes strong encryption.

LMSCapitalGroup launches AI platform for portfolio data management

LMSCapitalGroup introduced a unified software platform that connects market feeds and account systems into one real-time interface. The platform works with tools like MetaTrader 5 and WebTrader without requiring a full IT overhaul. Key features include an integration hub, portfolio intelligence engine, and market signal engine using pattern-recognition algorithms. The company follows a human-in-the-loop framework where AI assists but humans make final decisions. Account processing follows a 1-to-3 business day SLA window with enterprise-grade encryption.

Washington State University partners with AI company FanWord for sports content

Washington State University announced a partnership with FanWord, an AI startup founded in 2019 in Lincoln, Nebraska. FanWord's technology helps create game recaps, feature stories, player bios, award nominations, and transcriptions. Athletic Director Jon Haarlow said the partnership will improve storytelling and efficiency. Some WSU graduates expressed concern that AI-generated content could reduce opportunities for student interns. Athletics spokesman Bobby Alworth said no full-time positions were cut and students will still have opportunities to interview athletes and develop their skills.

Researchers propose Mixture-of-Facets for personalizing black-box LLMs

Researchers proposed Mixture-of-Facets (MoF), a new framework for personalizing black-box Large Language Models. MoF models user preferences as compositions of shared latent preference facets instead of dedicated user-specific parameters. This approach allows personalization for users not seen during training without needing additional parameter updates. The method delivers stronger personalization performance while being more scalable and parameter-efficient than prior approaches. Analysis indicates strong generalization to unseen users.

India ranks among top 10 AI-ready markets globally

India ranks among the world's top 10 economies on the AI Readiness Index. The United States leads the ranking with a perfect score of 100, followed by China at 53.8, then Singapore, the United Kingdom, France, and South Korea. Only 4% of internet users in India used ChatGPT as of April 2025. Employer demand for AI talent nearly doubled from 3.1% in 2022 to 6% by early 2025. AI investment in India exceeded that in Germany, Israel, and Australia.

Catalyst raises $30 million to build AI trading agents for retail investors

Catalyst, a startup cofounded by Justin Zheng and Dylan Iskandar in 2025, raised a $30 million seed round led by Sequoia. Other investors included Jump Trading, PeakXV, Lux Capital, AntiFund, Coinbase, and Premji Invest. The company builds AI trading agents that turn natural language into trading strategies for everyday investors. A human must approve trades, but the agents handle strategy and execution end to end. Catalyst ran a pilot generating hundreds of millions in trading volume over a few weeks and expects wider availability soon.

NYT reporter explores how to spot AI-generated images

The New York Times shared a post about a report by Stuart A. Thompson. The report discusses how people can identify images created by artificial intelligence. The post was temporarily unavailable due to privacy or access settings.

Protiviti and NC State survey finds growth needs more than AI

A 2027 survey of 1,330 global board members and C-suite executives found that most organizations lack confidence in transforming, protecting value, and responding to risks at the same time. Cyber threats, AI implementation risks, and economic uncertainty are top near-term concerns. Only 38% feel confident in responding with agility, while ecosystem partnerships are seen as the top growth opportunity. The survey says AI success depends on workforce enablement, integration, and governance rather than technology alone.

AI is reshaping the economy beyond the tech sector

Artificial intelligence is spreading into healthcare, manufacturing, and financial services. Jay Jacobs of BlackRock discusses how AI adoption is growing, with 60% of companies seeing positive returns while 40% see little benefit. Growing demand for computing power is creating bottlenecks in electricity, semiconductors, and materials like indium. Data center power needs may reach 121 gigawatts by the end of the decade.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Artificial Intelligence Public Opinion Regulation Job Displacement Bias AI Bubble AI Market AI Trading AI Readiness AI Personalization AI Risks AI Implementation AI Governance AI Workforce AI Integration AI Economic Impact AI Investment AI Research AI Development

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