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.
The new OpenBusiness information system launched on Monday, replacing the previous NotifyBusiness system, which is now accessible only in a read-only format. The Greek Ministry of Development highlighted that OpenBusiness streamlines business procedures, significantly cutting costs, installation time, and startup delays for both private and public sector enterprises.
Minister Takis Theodorikakos praised the system, stating that it simplifies processes, reduces costs and time for starting economic activities, and enhances public administration efficiency.
OpenBusiness supports the licensing of 57 key economic activities and covers around 2,500 codes, offering businesses a more modern and accessible platform for their operations. It is designed to reduce bureaucracy, improve transparency, and foster a better business environment.
Mitsubishi Heavy Industries expects continued strong demand for gas turbines, even as concerns rise over AI-driven energy efficiency. Chief financial officer Hisato Kozawa dismissed fears that Chinese AI model DeepSeek could reduce power consumption, reaffirming that global electricity demand remains on an upward trend.
Kozawa noted that MHI was unexpectedly viewed as an AI-related stock during last week’s market turbulence. The company reported record third-quarter earnings, with robust sales of gas turbines helping to lift full-year profit forecasts. The financial outlook for the year ending in March was raised to 240 billion yen (£1.55 billion), over 8% higher than previous estimates.
MHI’s strong performance extends beyond energy, with rising orders for jets, naval vessels, and missiles amid Japan’s expanding defence programme. The company’s stock has more than doubled in the past year, though it dipped 0.6% on Tuesday, closing at 2,218 yen per share, while the Nikkei 225 gained 0.7%.
President Donald Trump has signed an executive order directing the creation of a US sovereign wealth fund within a year. The order tasks the Treasury and Commerce Departments with presenting a detailed plan within 90 days, outlining funding sources, investment strategies, and governance. The US, which operates at a deficit, would need congressional approval to establish such a fund.
Trump has long supported the idea of a government investment vehicle, suggesting it could finance major infrastructure projects and other national initiatives. Treasury Secretary Scott Bessent indicated that the fund would be structured to monetise US assets for public benefit. One proposal involves repurposing the US International Development Finance Corp (DFC) to function similarly to sovereign wealth funds found in other nations.
Congressional approval is likely necessary, as such a fund typically relies on surplus revenue. Experts have questioned its viability, given the country’s financial position. Investors expressed surprise, noting that sovereign wealth funds usually stem from accumulated savings rather than deficits. Despite this, Trump remains confident in the initiative.
A surprising element of Trump’s announcement was the suggestion that the sovereign wealth fund could purchase TikTok. The app, which faces regulatory pressure over national security concerns, has been in limbo as its Chinese owner, ByteDance, explores potential sales. Trump stated that a decision on TikTok’s future could be reached in February.
Indian entrepreneur Bhavish Aggarwal is investing $230 million into Krutrim, an AI startup he founded, as part of India’s push to establish itself in the global AI market. The company, which develops large language models (LLMs) for Indian languages, aims to raise a total of $1.15 billion by next year, with Aggarwal seeking additional funding from external investors.
In a significant move, Krutrim has made its AI models open source and announced plans to build India’s largest supercomputer in partnership with Nvidia. The firm recently introduced Krutrim-2, a 12-billion parameter model that has demonstrated strong performance in Indian language processing and code generation. It has also launched BharatBench, a new evaluation framework designed to assess AI models’ proficiency in Indian languages.
The investment follows the launch of Krutrim-1, India’s first large language model, and aligns with broader efforts to position India as a key player in AI, traditionally dominated by the US and China. Krutrim has also begun hosting Chinese AI lab DeepSeek’s models on domestic servers, signalling India’s growing role in the AI ecosystem. With a supercomputer set to go live in March, the company is poised for rapid expansion in the coming months.
Paris-based startup Neuralk-AI has raised $4 million to develop AI models tailored for structured data, such as databases and spreadsheets. Unlike traditional AI, which excels at unstructured content like images and text, Neuralk-AI’s approach aims to help businesses extract deeper insights from their existing data warehouses. Retailers, in particular, could benefit from its models, using AI to optimise inventory, detect fraud, and refine customer recommendations.
The company, co-founded by Alexandre Pasquiou, plans to launch its AI models as an API for data scientists in commerce-focused industries. By automating complex workflows and enhancing data analysis, Neuralk-AI hopes to offer a more efficient alternative to traditional machine learning tools. The startup is already collaborating with major French retailers such as E.Leclerc and Auchan to test its technology.
Backed by Fly Ventures, SteamAI, and industry leaders including Hugging Face’s Thomas Wolf, Neuralk-AI is working towards becoming the leading AI solution for structured data. The first version of its model is expected to launch in the coming months, with a full benchmark release planned for later this year.
OpenAI has announced a new partnership with Kakao to develop AI products for South Korea. This marks OpenAI’s second major alliance in Asia this week, following a similar deal with SoftBank for AI services in Japan. OpenAI CEO Sam Altman, who is on a tour of Asia, also met with leaders from Samsung Electronics, SoftBank, and Arm Holdings. The partnership with Kakao is seen as part of OpenAI’s broader strategy to expand its AI presence in the region, with a focus on messaging and AI applications.
Kakao, which operates South Korea’s dominant messaging app KakaoTalk, plans to integrate OpenAI’s technology into its services as part of its push to grow its AI capabilities. Although Kakao has lagged behind rival Naver in the AI race, the company is positioning AI as a key growth engine. Altman highlighted the importance of South Korea’s energy, semiconductor, and internet sectors in driving demand for AI products, noting that many local companies will play a role in OpenAI’s Stargate data centre project in the US.
In addition to his work with Kakao, Altman met with executives from SK Group and Samsung to discuss AI chips and potential cooperation. SK Hynix, a key player in the production of AI processors, has been in discussions with OpenAI regarding collaboration in the AI ecosystem. Altman also indicated that OpenAI is actively considering involvement in South Korea’s national AI computing centre project, which is expected to attract up to $1.4 billion in investment.
Following the announcement, Kakao’s stock fell by 2%, after a 9% surge the previous day.
US telecom giant AT&T and Finnish network equipment maker Nokia have signed a multi-year agreement to upgrade AT&T’s voice services and 5G network automation. This deal comes after Nokia lost a significant contract to Swedish rival Ericsson in 2023, which led to Ericsson securing a $14 billion deal to build a network for AT&T covering 70% of its US wireless traffic by 2026. Nokia, however, remains involved with AT&T through a smaller agreement for fibre network development and a new contract focused on cloud-based voice applications and network automation.
The deal will enhance AT&T’s core network, enabling new voice services, including the integration of AI and machine learning. Although the financial details of the agreement were not disclosed, Nokia’s involvement is seen as crucial in bolstering its long-standing relationship with AT&T. Nokia’s president of Cloud and Network Services, Raghav Sahgal, emphasised that this agreement will allow for the deployment of new 5G functionalities.
Nokia recently reported stronger-than-expected earnings, driven by higher demand for telecoms equipment, particularly in North America and India. The company remains optimistic about its prospects in 2025, especially with plans to capitalise on the AI boom. Last year, Nokia also agreed to acquire Infinera for $2.3 billion to strengthen its position in the growing data centre and AI markets.
Waabi, a self-driving technology company, announced a partnership with Volvo’s driverless systems unit on Tuesday to develop autonomous big rigs. The collaboration aims to integrate Waabi’s virtual driver system, sensors, and computing into Volvo’s VNL Autonomous truck, which will be produced at Volvo’s New River Valley factory in Virginia.
The partnership comes as truck manufacturers and fleets look for ways to address driver shortages and reduce operational costs. Waabi, backed by Nvidia and Uber, uses its digital simulator, Waabi World, for testing and validation, with plans to launch commercial pilots in Texas within four years.
Unlike Tesla, which relies on a vision-only approach for its self-driving technology, Waabi uses a unique system to simulate real-world driving situations. The company also indicated that the deal with Volvo is not exclusive and they aim to integrate their technology with other truck manufacturers.
Volvo’s venture capital arm invested in Waabi in 2023, joining other backers such as Khosla Ventures and Porsche Automobil Holding. Waabi’s CEO Raquel Urtasun said trucking was a natural starting point for their technology, with plans to expand into areas like robotaxis and humanoid robots in the future.
OpenAI has introduced a new AI tool called deep research, designed to conduct multi-step research on the internet for complex tasks. The tool is powered by an optimised version of the upcoming OpenAI o3 model, enabling it to browse and analyse online content, including text, images, and PDFs, to generate detailed reports.
Deep research significantly reduces the time required for research, with OpenAI stating that it accomplishes tasks in minutes that would take a human several hours.
Despite its capabilities, the tool remains in its early stages and has limitations, such as difficulties in distinguishing credible sources from rumours and challenges in conveying uncertainty accurately.
The feature is already accessible via the web version of ChatGPT and will be extended to mobile and desktop applications later in February.
Deep research is the second AI agent introduced by OpenAI this year, following the January preview of Operator, which assists users with tasks like to-do lists and travel planning.
