Snap has introduced an AI-powered text-to-image model designed to run efficiently on mobile devices, generating high-resolution images in just 1.4 seconds on an iPhone 16 Pro Max. Unlike cloud-based systems, this model operates entirely on the device, reducing costs while maintaining impressive visual quality. The company plans to integrate it into Snapchat’s AI Snaps and Bitmoji features in the coming months.
By developing its own AI model, Snap aims to provide users with more advanced creative tools while lowering operational expenses. The move aligns with a broader trend among tech companies investing heavily in AI to enhance their platforms. Previously, Snap relied on external providers like OpenAI and Google, but its in-house model gives it more control over future innovations.
Snapchat’s AI investment highlights the growing competition in mobile AI technology, with major players racing to deliver faster and more efficient features. As the company prepares to roll out these new capabilities, it remains to be seen how they will shape user experiences and engagement on the platform.
A bipartisan working group is being established in Congress to develop policies supporting digital assets. Representative French Hill announced the initiative, emphasising the need for clear regulatory guidelines. The group will work alongside White House officials, including crypto and AI adviser David Sacks.
President Donald Trump has ordered a separate cryptocurrency task force to explore regulations and the possibility of a national crypto reserve. Trump has positioned himself as a pro-crypto leader, pledging to promote adoption. In contrast, former President Joe Biden’s administration took a stricter stance, cracking down on exchanges such as Coinbase and Binance over alleged regulatory violations.
Lawmakers and officials are now seeking a balance between fostering innovation and ensuring consumer protection. The growing role of cryptocurrencies in the economy has intensified calls for clearer legislation, with both Congress and the executive branch pushing for new frameworks.
A federal judge in California has indicated that some aspects of Elon Musk’s lawsuit against OpenAI may proceed to trial. Musk will be required to testify, with a jury ultimately deciding the outcome. The lawsuit challenges OpenAI’s transition from a nonprofit to a for-profit entity, a move Musk argues contradicts its original mission.
Judge Yvonne Gonzalez Rogers is reviewing Musk’s request to block OpenAI’s conversion before the trial. While she has not yet ruled on the injunction, she suggested Musk’s legal team may need to present more evidence. OpenAI’s lawyers argue that the restructuring is necessary to secure investment and continue developing advanced AI models.
The dispute has intensified as OpenAI seeks billions in funding, which is conditional on its corporate restructuring. Experts note that such nonprofit-to-for-profit transitions are rare, typically occurring in healthcare rather than AI startups. OpenAI maintains that Musk should compete in the market rather than pursue legal action.
AMD has announced it will release its next-generation data centre GPUs, the Instinct MI350 series, earlier than originally planned. CEO Lisa Su revealed during the company’s Q4 2024 earnings call that strong demand and smooth development have allowed AMD to move up production to mid-2025, rather than the latter half of the year.
The move comes as AMD looks to gain ground on industry leader Nvidia, whose dominance in the data centre market continues to pose a challenge. Despite this, AMD’s Instinct GPU sales surpassed $5 billion in 2024, and the company expects its data centre division to see double-digit growth in 2025. Major customers such as Meta, Microsoft, and IBM have contributed to AMD’s momentum in the AI computing sector.
Su expressed confidence in the expansion of AMD’s data centre business, forecasting substantial growth in AI-related computing over the coming years. Investors responded positively to the announcement, with AMD’s stock rising by over 4% following the earnings report.
Chinese companies are increasingly backing DeepSeek‘s AI, marking a pivotal moment for the industry. Firms like Moore Threads and Hygon Information Technology are enabling their computing clusters to support DeepSeek’s R1 and V3 models, which use domestically produced graphic processing units (GPUs). Analysts have hailed this as a ‘watershed moment,’ particularly as these models rival those run on global high-end chips.
Huawei has also joined the trend, integrating DeepSeek’s models with its Ascend cloud service and partnering with AI infrastructure start-up SiliconFlow. This integration showcases the growing potential of Chinese-made chips to support competitive large language models, reducing reliance on US hardware. Additionally, major Chinese tech companies such as Alibaba, Baidu, and Tencent have made DeepSeek’s models available through their cloud services.
DeepSeek’s rise has captured significant attention, especially after the launch of its free AI assistant, which surpassed ChatGPT in app downloads within days. The company’s approach, requiring far less computing power than its US counterparts, has further fueled its success. While DeepSeek is gaining traction globally, some countries, including Italy and the Netherlands, have raised privacy concerns, leading to investigations and blocks on its app.
China has introduced a series of measures targeting US businesses, including Google, farm equipment makers, and the owner of Calvin Klein, following the implementation of new US tariffs on Chinese goods. Among these measures, China launched an investigation into Google for potential violations of anti-monopoly laws, although no further details were provided. Despite its minimal presence in China, Google continues to collaborate with local advertisers.
China’s Ministry of Commerce also added US firms PVH Corp and Illumina to its ‘unreliable entity’ list, accusing them of actions that harmed Chinese companies. The companies could face significant sanctions, including trade freezes and restrictions on foreign staff. PVH has already been under scrutiny for its ties to the Xinjiang region.
As part of a broader response, China imposed 10% tariffs on US farm equipment, which could impact companies like Caterpillar, Deere & Co., and AGCO. Tesla’s Cybertruck, a model that has yet to receive regulatory approval, could also be affected. These new tariffs, set to take effect on February 10, signal an escalation in trade tensions between China and the US, extending beyond the tech sector.
These moves mark a significant increase in trade restrictions, building on previous actions taken under former US President Biden’s administration. Analysts suggest that these measures may be used as leverage, with the potential for de-escalation if either side chooses to back down.
Next week, Paris will host the AI Action Summit, where representatives from nearly 100 nations, including the US and China, will gather to discuss the future of AI. With the backing of both France and India, the summit aims to address AI development’s safe deployment, focusing on areas where France has a competitive edge, such as open-source systems and clean energy for powering data centres. The summit will also look at AI’s impact on labour markets and the promotion of national sovereignty in the increasingly global AI landscape.
Key industry figures, including top executives from Alphabet and Microsoft, are expected to attend. Discussions will involve a range of topics, including a potential non-binding communiqué that could reflect a global consensus on AI principles. However, it remains uncertain whether the US will align fully with other countries, given the Trump administration’s policies and tensions over issues like AI chip exports to China.
Unlike previous AI summits, which focused on safety regulations, the Paris event will not be creating new rules. Instead, the emphasis will be on how to ensure the benefits of AI reach developing nations, particularly through affordable AI models. In addition, France plans to showcase its clean energy capabilities, leveraging its nuclear power sector to address the growing energy demands of AI technologies, with some commitments expected from businesses and philanthropies to support public-interest AI projects globally.
Belgium‘s data protection authority has received a complaint about Chinese AI firm DeepSeek, potentially leading to an investigation. A spokesperson confirmed the complaint but declined to provide further details while the case is being handled.
Regulators in Luxembourg have not received any complaints but are monitoring DeepSeek’s latest AI model, citing potential risks for users. The country’s data protection agency is considering a broader review in collaboration with European regulators.
Authorities across Europe may examine how DeepSeek processes user data. The European Data Protection Board could play a role in assessing the AI company’s compliance with privacy laws.
The emergence of China’s DeepSeek, a low-cost AI model that requires less advanced chips, initially sparked a global selloff in tech stocks. Investors raised concerns about the future of Western investments in chipmakers and data centres. Nvidia, a leader in the sector, saw its market value plummet by nearly $600 billion, marking the largest one-day loss in company history. However, since then, tech stocks, particularly in Europe, have rebounded, with some investors turning to a 160-year-old economic theory to explain the market’s recovery: the Jevons Paradox.
The Jevons Paradox, proposed by economist William Stanley Jevons, suggests that as a resource becomes more efficient, its demand can actually increase. In the context of AI, the paradox argues that as AI technology becomes cheaper and more accessible, its use will likely expand. This idea is gaining traction among European investors, with some believing that lower AI costs could drive a new wave of investment in software and AI technologies, particularly in areas like data and inference.
Despite some scepticism, several fund managers have embraced the paradox as a reason for optimism in AI markets. The potential need for data centres and infrastructure to support AI growth remains a key focus, though the rise of more efficient software like DeepSeek has led some to question whether the sector will require as many resources as previously expected. While the long-term outlook remains uncertain, many see the reduction in AI costs as a catalyst for further investment and growth, especially in European companies that rely on AI technologies.
Not everyone is convinced, however, with some analysts pointing to Nvidia’s rapid stock rise as a sign that market dynamics may be more complex than the Jevons Paradox suggests. Nonetheless, for many, the falling costs of AI technology have reinforced the belief that demand for AI-related investments will continue to thrive.
AMD is set to report strong fourth-quarter results, with revenue expected to rise over 22% to $7.53 billion. However, competition in the AI chip market is intensifying, as Nvidia maintains its dominance and major tech firms such as Microsoft, Amazon, and Meta develop custom silicon. Analysts warn that the shift towards in-house AI processors could limit AMD’s growth in the long term.
The rise of Chinese AI startup DeepSeek has also raised concerns, as its models reportedly rival Western alternatives at a lower cost. Demand for AI chips remains high, but supply constraints continue to pose challenges. While contract manufacturer TSMC is working to expand capacity, Nvidia’s ramp-up of its latest Blackwell AI chips may restrict AMD’s access to manufacturing resources.
Despite these pressures, AMD’s AI chip sales could reach $10 billion in 2024, double the company’s initial forecast. The data centre chip segment is expected to see significant growth, contributing over half of total revenue. Meanwhile, AMD’s personal computer unit is expanding, with sales set to rise nearly 33% as the company gains market share from Intel.
