Elon Musk has echoed concerns from AI researchers that the industry is running out of new, real-world data to train advanced models. Speaking during a livestream with Stagwell’s Mark Penn, Musk noted that AI systems have already processed most of the available human knowledge. He described this data plateau as having been reached last year.
To address the issue, AI developers are increasingly turning to synthetic data, information generated by the AI itself, to continue training models. Musk argued that self-generated data will allow AI systems to improve through self-learning, with major players like Microsoft, Google, and Meta already incorporating this approach in their AI models.
While synthetic data offers cost-saving advantages, it also poses risks. Some experts warn it could cause “model collapse,” reducing creativity and reinforcing biases if the AI reproduces flawed patterns from earlier training data. As the AI sector pivots towards self-generated training material, the challenge lies in balancing innovation with reliability.
Malaysia plans to leverage its strategic location and rising investments to establish itself as a hub for energy and semiconductor manufacturing, Prime Minister Anwar Ibrahim and Economy Minister Rafizi Ramli announced Thursday. The country is benefiting from political stability, economic growth, and a strong currency, distinguishing it from regional peers facing uncertainty.
Prime Minister Anwar highlighted Malaysia’s economic rebound last year, driven by significant investments in renewable energy and AI infrastructure. He pointed to a stable ringgit, low inflation, and a leading stock market performance in Southeast Asia. ‘In 2025, we aim to capitalise on our geographical position as a conduit for electricity, talent, and supply chain diversification,’ Anwar said at an economic forum.
Economy Minister Rafizi Ramli revealed plans to produce homegrown graphics processing unit (GPU) chips in response to growing AI and data centre demands. Malaysia, which already accounts for 13% of global semiconductor testing and packaging, is targeting over $100 billion in investments for the sector. The country has attracted major firms like Intel and Infineon, as well as digital investments from Google, further boosting its economy and solidifying its role as a key player in the global semiconductor supply chain.
The Dutch government announced a deal with Nvidia on Thursday to provide hardware and expertise for a potential AI supercomputing facility. The planned facility is part of the Netherlands‘ broader strategy to bolster AI research and contribute to EU efforts to strengthen Europe’s digital economy.
Last year, the Netherlands allocated €204.5 million ($210 million) for AI investments, with additional funding expected from European subsidies. Economy Minister Dirk Beljaarts hailed the Nvidia agreement as a major step toward realising the project, emphasising the intense global competition for advanced AI technologies.
‘This deal brings building a Dutch AI facility a lot closer,’ Beljaarts said after meeting Nvidia representatives in Silicon Valley, although he refrained from disclosing specific details of the agreement.
Emirati billionaire Hussain Sajwani plans to invest $20 billion in the growing US data centre sector over the coming years. The announcement was made alongside US President-elect Donald Trump at his Mar-a-Lago residence in Florida, where Sajwani, chairman of Dubai-based developer DAMAC, expressed the potential for even larger investments depending on market conditions.
Sajwani’s company owns the only Trump-branded golf course in the Middle East, located in Dubai. The two have a long-standing relationship, with Sajwani celebrating New Year with Trump in Florida. Trump’s focus on economic growth aligns with this announcement, though previous investment promises, such as the Foxconn factory in Wisconsin, fell short of expectations.
A surge in AI technology, particularly since the introduction of OpenAI’s ChatGPT in 2022, has driven significant investment in data infrastructure. Microsoft recently revealed plans to spend $80 billion this fiscal year on expanding its AI capacity. SoftBank’s CEO Masayoshi Son also committed $100 billion in US investments, further highlighting the sector’s momentum.
US restrictions on advanced AI chip exports to China have intensified under the Biden administration. Trump’s recent appointments of China hard-liners in key economic and diplomatic roles signal a continued focus on limiting China’s access to cutting-edge technologies.
Faculty AI, a consultancy company with significant experience in AI, has been developing AI technologies for both civilian and military applications. Known for its close work with the UK government on AI safety, the NHS, and education, Faculty is also exploring the use of AI in military drones. The company has been involved in testing AI models for the UK’s AI Safety Institute (AISI), which was established to study the implications of AI safety.
While Faculty has worked extensively with AI in non-lethal areas, its work with military applications raises concerns due to the potential for autonomous systems in weapons, including drones. Though Faculty has not disclosed whether its AI work extends to lethal drones, it continues to face scrutiny over its dual roles in advising both the government on AI safety and working with defense clients.
The company has also generated some controversy because of its growing influence in both the public and private sectors. Some experts, including Green Party members, have raised concerns about potential conflicts of interest due to Faculty’s widespread government contracts and its private sector involvement in AI, such as its collaborations with OpenAI and defence firms. Faculty’s work on AI safety is seen as crucial, but critics argue that its broad portfolio could create a risk of bias in the advice it provides.
Despite these concerns, Faculty maintains that its work is guided by strict ethical policies, and it has emphasised its commitment to ensuring AI is used safely and responsibly, especially in defence applications. As AI continues to evolve, experts call for caution, with discussions about the need for human oversight in the development of autonomous weapons systems growing more urgent.
The UK‘s competition regulator, the Competition and Markets Authority (CMA), announced it may accept remedies proposed by Synopsys and Ansys to address concerns over their $35 billion merger. The deal, announced in January of last year, involves Synopsys acquiring Ansys, a company known for its software used in industries like aerospace and sports equipment manufacturing.
The CMA outlined the proposed remedies, which include the sale of Ansys’ power consumption analysis product for digital chips and Synopsys’ global optics and photonics software business. The regulator has until March 5 to decide whether to accept these remedies, though it can extend the deadline to 6 May.
Synopsys expressed satisfaction with the CMA’s progress and reiterated its commitment to working closely with the authority. The outcome of the regulator’s review could significantly impact the completion of the merger, which aims to enhance the companies’ capabilities in chip design software.
A prominent technology trade group has urged the Biden administration to reconsider a proposed rule that would restrict global access to US-made AI chips, warning that the measure could undermine America’s leadership in the AI sector. The Information Technology Industry Council (ITI), representing major companies like Amazon, Microsoft, and Meta, expressed concerns that the restrictions could unfairly limit US companies’ ability to compete globally while allowing foreign rivals to dominate the market.
The proposed rule, expected to be released as soon as Friday, is part of the Commerce Department’s broader strategy to regulate AI chip exports and prevent misuse, particularly by adversaries like China. The restrictions aim to curb the potential for AI to enhance China’s military capabilities. However, in a letter to Commerce Secretary Gina Raimondo, ITI CEO Jason Oxman criticised the administration’s urgency in finalising the rule, warning of ‘significant adverse consequences’ if implemented hastily. Oxman called for a more measured approach, such as issuing a proposed rule for public feedback rather than enacting an immediate policy.
Industry leaders have been vocal in their opposition, describing the draft rule as overly broad and damaging. The Semiconductor Industry Association raised similar concerns earlier this week, and Oracle’s Executive Vice President Ken Glueck slammed the measure as one of the most disruptive ever proposed for the US tech sector. Glueck argued the rule would impose sweeping regulations on the global commercial cloud industry, stifling innovation and growth.
While the administration has yet to comment on the matter, the growing pushback highlights the tension between safeguarding national security and maintaining US dominance in the rapidly evolving field of AI.
Amazon Web Services (AWS) has announced a $11 billion investment to build new data centres in Georgia, aiming to support the growing demand for cloud computing and AI technologies. The facilities, located in Butts and Douglas counties, are expected to create at least 550 high-skilled jobs and position Georgia as a leader in digital innovation.
The move highlights a broader trend among tech giants investing heavily in AI-driven advancements. Last week, Microsoft revealed an $80 billion plan for fiscal 2025 to expand data centres for AI training and cloud applications. These facilities are critical for supporting resource-intensive AI technologies like machine learning and generative models, which require vast computational power and specialised infrastructure.
The surge in AI infrastructure has also raised concerns about energy consumption. A report from the Electric Power Research Institute suggests data centres could account for up to 9% of US electricity usage by 2030. To address this, Amazon has secured energy supply agreements with utilities like Talen Energy in Pennsylvania and Entergy in Mississippi, ensuring reliable power for its expanding operations.
Amazon’s commitment underscores the growing importance of AI and cloud services, as companies race to meet the demands of a rapidly evolving technological landscape.
Serve Robotics, backed by Nvidia and Uber, has secured $80 million through a direct stock offering to institutional investors. The funding will support the expansion of its autonomous delivery robot fleet, with plans to scale from 100 robots in Los Angeles to 2,000 across multiple US cities by the end of 2025. CFO Brian Read stated that the investment is intended for long-term growth rather than short-term expenditure, positioning the company for sustained financial stability beyond 2026.
The fresh capital follows $86 million raised in December 2024, bringing Serve’s total funding to over $247 million in the past year. The company aims to use its reserves to self-finance equipment investments, reducing reliance on external financing and improving cash flow. Read highlighted that full ownership of the robots would provide greater financial flexibility and lower operational costs as the fleet expands.
Currently, Serve operates around 100 robots in Los Angeles, delivering for Uber Eats and 7-Eleven. A trial in Dallas, launched in partnership with Wing, is exploring hybrid drone and sidewalk robot deliveries. The company plans to deploy 250 additional robots in Los Angeles in early 2025, with the goal of achieving cash-flow positivity once the 2,000-robot fleet reaches full utilisation.
Microsoft will invest $3 billion to expand AI and cloud-computing infrastructure in India, CEO Satya Nadella announced during a conference in Bengaluru. The investment, the company’s largest expansion in the country, aims to strengthen its Azure cloud services and AI capabilities. Nadella also revealed plans to train 10 million people in AI by 2030, building on an earlier commitment to provide AI skilling opportunities for two million individuals by 2025, with a focus on smaller cities and rural areas.
India’s growing importance as a tech hub has attracted interest from major US technology firms, with recent visits from Nvidia’s Jensen Huang and Meta’s chief AI scientist Yann LeCun. Nadella met Prime Minister Narendra Modi to discuss technology, innovation, and Microsoft‘s ambitious plans for expansion in the country. India’s vast population and affordable internet access make it a key market for AI-driven growth.
Microsoft is making significant global investments in AI and cloud infrastructure, committing around $80 billion in fiscal 2025. More than half of that will be directed towards US data centers to support AI model training and cloud-based applications. With India positioned as a strategic market, Microsoft’s latest investment underscores the country’s growing role in the global AI ecosystem.
