How might AI regulations change in 2025?

The year 2025 marks a significant shift in the US political landscape that promises to have a profound impact on AI governance. President-elect Donald Trump will take office on January 20, bringing with him a team of top business advisors, including luminaries like Elon Musk and Vivek Ramaswamy. They are expected to shape policy thinking on frontier technologies like AI and cryptocurrencies, opening up new directions full of challenges and potential.

Meanwhile, an interesting juxtaposition is emerging between two jurisdictions as the UK and the European Union (EU) take different views on technology regulation. The EU has opted for a more heavy-handed approach, aiming to clamp down on the Silicon Valley giants behind powerful AI systems, while the UK has preferred a more flexible strategy, allowing for innovation while maintaining the necessary oversight.

The influence ofBillionaire Elon Musk on policyAI ofAmerica

Although AI was not a focus of Donald Trump’s presidential campaign, it is expected to become a priority under the new administration. A significant milestone was Trump’s appointment of Elon Musk, CEO of Tesla and co-founder of OpenAI, and Vivek Ramaswamy, a biotech entrepreneur, to head the Department of Government Effectiveness.

Regarding this issue, Mr. Matt Calkins, CEO of the technology company Appian (USA), commented that the close relationship between Trump and Musk could bring an advantage to the US in the field of AI. He appreciated the experience of Musk, the founder of xAI, and believed that Musk's deep understanding of AI would shape effective policy. "Finally, we have someone in the administration who really understands AI," Calkins shared with CNBC.

While there have been no official announcements of AI-related directives or executive orders, Calkins predicts Musk will push for safeguards to control risks and ensure AI doesn't threaten civilization, a concern Musk has emphasized for years.

Currently, the US has no comprehensive federal law on AI, only fragmented regulations at the state and local levels. More than 45 states, along with Washington DC, Puerto Rico and the Virgin Islands, have introduced their own bills to regulate the field, highlighting the urgent need for a unified legal framework in the future.

EU AI Act

The EU is currently the only region in the world to have a comprehensive legal framework for AI. Earlier this year, the groundbreaking EU AI Act was officially adopted, marking a major step forward in AI governance.

Although not yet fully effective, the law has raised concerns in the US tech community, with major companies such as Amazon, Google and Meta warning that strict regulations could stifle innovation.

In December, the EU Office for AI published a second draft of a set of rules for general-purpose AI (GPAI) models, like OpenAI's GPT. The draft includes exemptions for some open-source models and requires GPAI developers to conduct rigorous risk assessments.

However, the Computer & Communications Industry Association said that some provisions in the draft exceeded the original scope of the Act, especially measures related to copyright, causing controversy among stakeholders in the technology industry.

European tech leaders fear that EU sanctions against major US tech companies could face a backlash from President Trump, which could force the EU to adjust its policies.

United Kingdomand a more flexible approach to AI

Unlike the EU, the UK has been cautious about imposing legal obligations on AI model makers, concerned that new regulations could be too restrictive and stifle innovation.

The government under Prime Minister Keir Starmer recently announced plans to develop its own AI legislation. The UK is expected to adopt a more flexible approach, focusing on fundamental principles rather than the strict risk-based framework of the EU.

Last month, the government released its first indication of where the regulation is headed, with a consultation on how to manage the use of copyrighted content in training AI models. This is a particularly important issue for generative AI and large language models (LLM), which rely heavily on copyrighted data.

Most LLMs today use public data from the open web to train their AI, but this often includes artwork and copyrighted material. Artists and publishers are concerned that these systems are copying their valuable content without consent.

To address this, the UK government is looking at the possibility of creating exceptions in copyright law that would allow AI models to be trained using copyrighted works, but still guarantee the rights of owners to refuse permission to use their intellectual property.

The UK could become a "global leader" in tackling the issue of copyright infringement of AI models, Matt Calkins said, stressing that the country is not under pressure from strong lobbying campaigns by domestic AI leaders like the US.

US-China relations are a potential point of tension

As governments around the world struggle to regulate rapidly evolving AI systems, there is a risk that geopolitical tensions between the US and China could escalate under the Trump administration.

During his first term, Trump took a hard line on China, including blacklisting Huawei, restricting its cooperation with US technology suppliers. He also attempted to ban TikTok, owned by Chinese company ByteDance, in the US, although he later reversed his stance on TikTok.

China is pushing to overtake the US for AI dominance, while the US has taken steps to restrict China’s access to key technologies, particularly microprocessors like Nvidia chips, which are essential for training advanced AI models. In response, China has stepped up efforts to develop its domestic chip industry.

Tech experts worry that the geopolitical divide between the US and China in the field of AI could lead to potential risks, such as the possibility of either country developing a form of AI that is far more intelligent than humans.

Max Tegmark, founder of the nonprofit Future of Life Institute, warned that in the future, the US and China could create a form of AI that can self-improve and design new systems without human intervention, which could force both countries to develop separate AI safety rules to control the risks.

“The optimistic path I hope for is that the U.S. and China will unilaterally set national safety standards to prevent their companies from developing AI out of control, not to appease rival superpowers, but simply to protect themselves,” Tegmark said in an interview with CNBC in November.

Currently, governments are trying to work together to develop regulations and frameworks around AI. In 2023, the UK hosted a global AI safety summit, attended by both the US and Chinese governments, to discuss potential barriers and challenges in developing effective AI regulatory policies.