Connect with us

AI Insights

US and China Chart Diverging Paths in Global AI Action Plans

Published

on


The United States and China released competing visions of the future of artificial intelligence, with the U.S. seeking global leadership and China prioritizing open source AI models and cooperation among nations and organizations.

In “America’s AI Action Plan,” President Donald Trump said, “it is a national security imperative for the United States to achieve and maintain unquestioned and unchallenged global technological dominance.”

According to an English translation, China’s AI action plan, “Action Plan on Global Governance of Artificial Intelligence,” said “only by working together can we fully realize the potential of AI while ensuring its safe, reliable, controllable and equitable development,” and “create an inclusive, open, sustainable, equitable, secure and reliable digital and intelligent future for all.”

The U.S. strategy rests on three pillars: accelerating innovation, building infrastructure and asserting international leadership. Its tone is competitive, aiming to dismantle “onerous regulation,” restore American semiconductor manufacturing and extend U.S. dominance in frontier AI models, including through export controls on AI chips and components.

China’s plan sets out 13 areas of action, including building AI infrastructure, promoting cross-border data sharing, developing green AI standards and fostering collaboration with developing countries. The plan champions “open source communities,” emphasizes “sovereignty,” and calls for equitable representation in global AI governance platforms.

“The U.S. AI action plan is focused on America’s priorities — it’s a reflection of Trump’s ‘America first’ views,” said George Chen, partner and co-chair of digital practice at The Asia Group consultancy, per a Financial Times (FT) report. “China, in contrast, wants to position itself as a defender of multilateralism, and it encourages more international cooperation.”

In an op-ed for Foreign Affairs, Owen Daniels and Hanna Dohmen from Georgetown University’s Center for Security and Emerging Technology said China’s approach to AI seeks to flex its “soft power.”

“By enabling AI’s benefits to be broadly shared, Chinese open models could win international goodwill and position China as an AI benefactor to countries across the developing world,” they wrote.

Moreover, China has embraced open ecosystems while U.S. companies have mostly developed closed AI models.

“If Washington’s new AI strategy does not adequately account for open models, American AI companies, despite their world-leading models, will risk ceding international AI influence to China,” Daniels and Dohmen wrote.

But the larger danger is that the U.S. “will lose key strategic leverage in emerging technology diplomacy in key regions of the world” as China exerts its “soft power” influence, they wrote.

See also: Remember DeepSeek? Many Adopt Its AI Models Despite Security Concerns

Raw vs. Soft Power

At this month’s World Artificial Intelligence Conference in Shanghai, where China’s AI action plan was unveiled, Chinese Premier Li Qiang said AI innovation is being hindered by bottlenecks such as chip supplies, the FT reported.

Li also said that “technological monopolies” and restrictions are hindering AI innovation, and it could become “an exclusive game for a few countries and companies,” without explicitly naming the U.S. He unveiled plans to create an organization for AI cooperation in Shanghai and two United Nations dialogue mechanisms for regulating AI.

China promotes AI as a tool for international development and poverty reduction, seeking to support less affluent Global South countries in building capacity and closing the digital divide. It seeks global coordination on AI risk testing, incident response and transparency.

Although both plans recognize the transformative potential and risks of AI, they diverge on who should lead global governance and how it should be structured. China seeks a consensus-based framework anchored in the U.N. The U.S. aims to build a global AI alliance around American infrastructure, norms and technologies.

China positions itself as a champion of multilateral governance and digital equity, while the U.S. frames AI as a power competition. The Chinese plan calls for “respect for national sovereignty” and a non-discriminatory governance model. In contrast, the U.S. plan vows to “counter Chinese influence in international governance bodies” and establish American AI systems as the “gold standard.”

Both plans endorse open source AI development, AI literacy efforts and the expansion of AI into public services. However, the U.S. plan makes open weight models a matter of strategic importance, calling them “essential for academic research” and a potential global standard.

The U.S. plan is also explicit in opposing ideological influence in AI systems. It directs federal procurement policies to favor models that are “objective and free from top-down ideological bias,” and tasks the National Institute of Standards and Technology with removing references to misinformation, diversity, equity and inclusion from its risk frameworks.

For all PYMNTS AI coverage, subscribe to the daily AI Newsletter.

Read more:

DeepSeek Upgrades AI Reasoning Model to Rival OpenAI and Google

House Select Committee Says DeepSeek Is Threat to US Security

Apple CEO Cook Praises DeepSeek’s AI Models During China Visit



Source link

AI Insights

Microsoft Says Azure Service Affected by Damaged Red Sea Cables

Published

on




Microsoft Corp. said on Saturday that clients of its Azure cloud platform may experience increased latency after multiple international cables in the Red Sea were cut.



Source link

Continue Reading

AI Insights

Geoffrey Hinton says AI will cause massive unemployment and send profits soaring

Published

on


Pioneering computer scientist Geoffrey Hinton, whose work has earned him a Nobel Prize and the moniker “godfather of AI,” said artificial intelligence will spark a surge in unemployment and profits.

In a wide-ranging interview with the Financial Times, the former Google scientist cleared the air about why he left the tech giant, raised alarms on potential threats from AI, and revealed how he uses the technology. But he also predicted who the winners and losers will be.

“What’s actually going to happen is rich people are going to use AI to replace workers,” Hinton said. “It’s going to create massive unemployment and a huge rise in profits. It will make a few people much richer and most people poorer. That’s not AI’s fault, that is the capitalist system.”

That echos comments he gave to Fortune last month, when he said AI companies are more concerned with short-term profits than the long-term consequences of the technology.

For now, layoffs haven’t spiked, but evidence is mounting that AI is shrinking opportunities, especially at the entry level where recent college graduates start their careers.

A survey from the New York Fed found that companies using AI are much more likely to retrain their employees than fire them, though layoffs are expected to rise in the coming months.

Hinton said earlier that healthcare is the one industry that will be safe from the potential jobs armageddon.

“If you could make doctors five times as efficient, we could all have five times as much health care for the same price,” he explained on the Diary of a CEO YouTube series in June. “There’s almost no limit to how much health care people can absorb—[patients] always want more health care if there’s no cost to it.”

Still, Hinton believes that jobs that perform mundane tasks will be taken over by AI, while sparing some jobs that require a high level of skill.

In his interview with the FT, he also dismissed OpenAI CEO Sam Altman’s idea to pay a universal basic income as AI disrupts the economy and reduce demand for workers, saying it “won’t deal with human dignity” and the value people derive from having jobs.

Hinton has long warned about the dangers of AI without guardrails, estimating a 10% to 20% chance of the technology wiping out humans after the development of superintelligence.

In his view, the dangers of AI fall into two categories: the risk the technology itself poses to the future of humanity, and the consequences of AI being manipulated by people with bad intent.

In his FT interview, he warned AI could help someone build a bioweapon and lamented the Trump administration’s unwillingness to regulate AI more closely, while China is taking the threat more seriously. But he also acknowledged potential upside from AI amid its immense possibilities and uncertainties.

“We don’t know what is going to happen, we have no idea, and people who tell you what is going to happen are just being silly,” Hinton said. “We are at a point in history where something amazing is happening, and it may be amazingly good, and it may be amazingly bad. We can make guesses, but things aren’t going to stay like they are.”

Meanwhile, he told the FT how he uses AI in his own life, saying OpenAI’s ChatGPT is his product of choice. While he mostly uses the chatbot for research, Hinton revealed that a former girlfriend used ChatGPT “to tell me what a rat I was” during their breakup.

“She got the chatbot to explain how awful my behavior was and gave it to me. I didn’t think I had been a rat, so it didn’t make me feel too bad . . . I met somebody I liked more, you know how it goes,” he quipped.

Hinton also explained why he left Google in 2023. While media reports have said he quit so he could speak more freely about the dangers of AI, the 77-year-old Nobel laureate denied that was the reason.

“I left because I was 75, I could no longer program as well as I used to, and there’s a lot of stuff on Netflix I haven’t had a chance to watch,” he said. “I had worked very hard for 55 years, and I felt it was time to retire . . . And I thought, since I am leaving anyway, I could talk about the risks.”

Fortune Global Forum returns Oct. 26–27, 2025 in Riyadh. CEOs and global leaders will gather for a dynamic, invitation-only event shaping the future of business. Apply for an invitation.



Source link

Continue Reading

AI Insights

NFL player props, odds, bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

Published

on


The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league’s biggest stars. From the 13 games on Sunday to Monday Night Football, you’ll have no shortage of player props to wager on. There are several players returning from injury-plagued seasons a year ago who want to start 2025 off on the right note, including Trevor Lawrence, Alvin Kamara and Stefon Diggs. Their Week 1 NFL prop odds could be a bit off considering how last year ended, and this could be an opportunity to cash in.

Kamara has a rushing + receiving yards NFL prop total of 93.5 (-112/-114) versus Arizona on Sunday after the running back averaged 106.6 scrimmage yards in 2024. The Cardinals allowed the eighth-most rushing yards per game to running backs last year, in addition to giving up the eighth-most receiving yards per game to the position. 

Before making any Week 1 NFL prop bets on Kamara’s Overs, you also have to remember he’s now 30, playing under a first-year head coach and has a young quarterback who’s winless in six career starts. If you are looking for NFL prop bets or NFL parlays for Week 1, SportsLine has you covered with the top Week 1 player props from its Machine Learning Model AI.

Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop. 

Now, with the Week 1 NFL schedule quickly approaching, SportsLine’s Machine Learning Model AI has identified the top NFL props from the biggest Week 1 games.

Week 1 NFL props for Sunday’s main slate

After analyzing the NFL props from Sunday’s main slate and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bengals WR Tee Higgins goes Under 63.5 receiving yards (-114) versus the Browns in a 1 p.m. ET kickoff. Excluding a 2022 game in which he played just one snap, Higgins has been held under 60 receiving yards in three of his last four meetings with Cleveland. 

Entering his sixth NFL season, Higgins has never had more than 58 yards in any Week 1 game, including going catchless on eight targets versus the Browns in Week 1 of 2023. The SportsLine Machine Learning Model projects 44.4 yards for Higgins in a 5-star pick. See more Week 1 NFL props here.

Week 1 NFL props for Bills vs. Ravens on Sunday Night Football

After analyzing Ravens vs. Bills props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Ravens QB Lamar Jackson goes Over 233.5 passing yards (-114). The last time Jackson took the field was against Buffalo in last season’s playoffs, and the two-time MVP had 254 passing yards and a pair of touchdowns through the air. The SportsLine Machine Learning Model projects Jackson to blow past his total with 280.2 yards on average in a 4.5-star prop pick. See more NFL props for Ravens vs. Bills here

You can make NFL prop bets on Jackson and others with the Underdog Fantasy promo code CBSSPORTS2. Bet at Underdog Fantasy and get $50 in bonus bets after making a $5 bet:

Week 1 NFL props for Bears vs. Vikings on Monday Night Football

After analyzing Vikings vs. Bears props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bears QB Caleb Williams goes Under 218.5 passing yards (-114). Primetime games like what he’ll see on Sunday night weren’t too favorable to Williams as a rookie. He lost all three he played in, had one total passing score across them, was sacked an average of 5.3 times and, most relevant to this NFL prop, Williams failed to reach even 200 passing yards in any of the three. The SportsLine Machine Learning Model forecasts him to finish with just 174.8 passing yards, making Under 218.5 a 4.5-star NFL prop. See more NFL props for Vikings vs. Bears here

You can also use the latest FanDuel promo code to get $300 in bonus bets instantly:

How to make Week 1 NFL prop picks

SportsLine’s Machine Learning Model has identified another star who sails past his total and has dozens of NFL props rated 4 stars or better. You need to see the Machine Learning Model analysis before making any Week 1 NFL prop bets.

Which NFL prop picks should you target for Week 1, and which star player has multiple 5-star rated picks? Visit SportsLine to see the latest NFL player props from SportsLine’s Machine Learning Model that uses cutting-edge artificial intelligence to make its projections.





Source link

Continue Reading

Trending