The CEO of Japanese IT giant NTT DATA has called for global standards in AI regulation to mitigate the risks posed by the rapidly advancing technology. Speaking at the World Economic Forum in Davos, Switzerland, Abhijit Dubey emphasised that inconsistent regulations could lead to significant challenges. He argued that standardised global rules are essential for addressing issues like intellectual property protection, energy efficiency, and combating deepfakes.
Dubey pointed out that the key to unlocking AI’s potential lies not in the technology itself, which he believes will continue to improve rapidly, but in ensuring businesses are prepared to adopt it. A company’s ability to leverage AI, he said, depends on the readiness of its workforce and the robustness of its data architecture.
He stressed that companies must align their AI strategies with their broader business objectives to maximise productivity gains. ‘The biggest issue isn’t the technology it’s whether organisations are set up to implement it effectively,’ Dubey noted.
The discussion at Davos highlighted the urgent need for collaboration among governments, businesses, and industry leaders to create cohesive AI regulations that balance innovation with risk management.
Rivian, the US electric vehicle maker, and Volkswagen are in talks with other automakers about supplying them with software and electrical architecture through their joint venture. This collaboration, which began in November with Volkswagen’s $5.8 billion investment, aims to integrate advanced electrical infrastructure and Rivian’s software technology into both companies’ future EVs. Rivian’s streamlined vehicle architecture, which reduces weight and manufacturing complexity, also allows for over-the-air software updates, an area where traditional automakers have struggled to catch up.
Rivian‘s Chief Software Officer, Wassym Bensaid, revealed that other automakers are interested in the joint venture’s technology, though he declined to name them or provide details on the ongoing discussions. The venture is a key opportunity for established automakers to quickly access the technology they have long sought to develop themselves. For Rivian, the partnership provides higher volumes, better supplier deals, and a chance to reduce costs, especially important as EV demand slows.
Rivian focuses on launching its smaller, more affordable R2 SUV by 2027, while also expanding the integration of its technology into Volkswagen’s other brands. With increasing interest from additional OEMs, the joint venture is poised to become a significant player in the global EV market, particularly in the West, alongside Tesla. Analysts suggest the partnership helps Rivian address its capital concerns and positions it as a key player in the transition to software-defined vehicles.
LG Energy Solution, a major South Korean battery maker, has announced plans to reduce its capital expenditure by up to 30% this year, citing slowing demand for electric vehicles (EVs). The decision was made after the company reported a quarterly loss for the first time in three years. For the October-December period, LGES posted an operating loss of 226 billion won ($158 million), compared to a profit of 338 billion won during the same period in 2023.
The company, which supplies batteries to automakers like Tesla, General Motors, and Volkswagen, attributed its poor performance to a drop in demand from General Motors, one of its key clients. LGES expects demand to recover in the second quarter as GM launches new EV models. Additionally, the company highlighted that changes to US tariffs and potential reductions in EV tax credits could impact short-term growth in the US market, though it believes the long-term outlook for the battery industry remains strong.
In response to these challenges, LGES intends to prioritise using existing production capacity rather than expanding with new plants in North America. Despite the reduced spending, the company remains focused on growth, targeting a revenue increase of 5-10% this year. LGES will also launch joint battery production with Stellantis and Honda later this year. CEO Kim Dong-myung has expressed optimism about a recovery in the EV market after 2026, though he also acknowledged growing competition from Chinese rivals.
Shares of LGES remained flat following the announcement, while the broader KOSPI index saw a slight rise.
Stargate, a new joint venture formed by OpenAI, SoftBank, and Oracle, aims to build data centres across the US to support the growing demands of AI. According to a report by the Financial Times on Thursday, these data centres will be dedicated solely to OpenAI, the company behind the popular ChatGPT. The collaboration between these tech giants underscores the increasing importance of robust infrastructure to power the next wave of AI innovation.
The exclusive focus on OpenAI’s needs comes when AI technologies rapidly expand, with the demand for high-performance computing capabilities soaring. The partnership will allow OpenAI to scale its operations and provide the necessary computing power for its cutting-edge AI models. As companies worldwide race to develop more advanced AI tools, the infrastructure provided by Stargate is expected to play a crucial role in supporting the next generation of AI services.
Oracle and SoftBank’s involvement brings significant expertise in cloud infrastructure and global telecom, making the venture a powerful alliance in the competitive AI landscape. The project highlights the growing intersection of cloud computing, data storage, and AI as companies like OpenAI push the boundaries of what AI can achieve.
The US government is introducing the Cyber Trust Mark, a new security certification aimed at safeguarding smart home devices against cyber threats. Launching later this year, the programme will provide consumers with a clear indicator of which gadgets meet strict cybersecurity standards set by the National Institute of Standards and Technology (NIST). Devices such as smart cameras, fitness trackers, and baby monitors are among those eligible for the label.
To qualify, manufacturers must implement measures such as strong default passwords, software updates, and data protection protocols. Shoppers can also scan a QR code accompanying the label for detailed security information, including tips on setup and maintenance. The initiative comes in response to the rising threat of hackers targeting home networks, with the average US household now owning over 20 connected devices.
Retail giants like Amazon and Best Buy are backing the programme, highlighting compliant products to help consumers make informed choices. While the Cyber Trust Mark focuses on wireless Internet of Things (IoT) gadgets, some devices, including medical equipment, cars, and wired products, are excluded. The scheme marks a significant step toward protecting homes from cybercrime as digital threats continue to grow.
What impact this label will have on consumer habits remains to be seen, but it’s already drawing support from major tech firms like Google and Samsung, signalling a collective move towards better digital security.
Meta Platforms has joined a $10 billion investment round for Databricks, a data analytics firm specialising in AI applications. The funding, which closed on Wednesday, values the San Francisco-based company at $62 billion. This round also included a $5.25 billion credit facility led by major financial institutions such as JPMorgan Chase and Goldman Sachs, aimed at boosting Databricks’ expansion and product development efforts.
Founded in 2013, Databricks provides tools to help businesses process, analyse, and apply artificial intelligence to complex datasets. The firm has benefited from the increasing corporate demand for AI technology, catalysed by the rapid adoption of platforms like OpenAI’s ChatGPT. Meta’s investment strengthens an existing partnership between the two, particularly in leveraging Meta’s Llama, a family of open-source large language models.
With over 10,000 organisations, including Shell and Comcast, already utilising its platform, Databricks is at the forefront of enterprise AI applications. According to CEO Ali Ghodsi, this deepened collaboration with Meta will help Databricks better serve enterprise clients using Llama, further solidifying its position in the AI race.
ByteDance, the Chinese tech giant behind TikTok, has allocated over 150 billion yuan ($20.64 billion) for capital expenditure this year, with a significant focus on AI, according to sources familiar with the matter. About half of the investment will support overseas AI infrastructure, including data centres and networking equipment. Beneficiaries of this spending are expected to include chipmakers Huawei, Cambricon, and US supplier Nvidia, although ByteDance has denied the accuracy of the claims.
The investment aims to solidify ByteDance’s AI leadership in China, where it has launched over 15 standalone AI applications, such as the popular chatbot Doubao, which boasts 75 million monthly active users. Its international counterparts include apps like Cici and Dreamina, reflecting ByteDance’s strategy to adapt its AI offerings globally. The company also recently updated its flagship AI model, Doubao, to rival reasoning models like those developed by Microsoft-backed OpenAI.
ByteDance’s international spending aligns with its efforts to expand AI capabilities abroad amid challenges like the uncertain future of TikTok in the United States. While ByteDance’s $20 billion plan is substantial, it remains modest compared to the AI investments of US tech giants like Google and Microsoft, which spent $50 billion and $55.7 billion respectively on AI infrastructure in the past year. The spending will also bolster ByteDance’s partnerships with suppliers such as Nvidia, from which it has procured custom AI chips tailored to China despite US export restrictions.
Lonestar Data Holdings has unveiled plans to establish the first-ever data centre on the Moon, targeting a launch late next month aboard SpaceX’s Falcon 9 rocket. The data centre, named Freedom, will be integrated with Intuitive Machines’ Athena moon lander, leveraging the Moon’s unique environment for security and energy efficiency.
The company, led by CEO Chris Stott, views the lunar surface as an ideal location for secure, disaster-resilient data storage. Powered by solar energy and equipped with naturally cooled solid-state drives, Freedom is designed for non-latency-sensitive applications such as data recovery. Backup operations will be supported by a ground-based facility in Tampa, US.
As the demand for energy-intensive data centres grows on Earth, Lonestar joins a burgeoning space industry exploring off-planet solutions. While competitors like Lumen Orbit also seek a foothold in this nascent field, challenges remain. High launch costs, maintenance limitations, and the risk of mission failure loom large over these ambitious projects.
With initial funding of nearly $10 million and support from partners including the Isle of Man government and AI firm Valkyrie, Lonestar is set to push the boundaries of data storage and space technology.
Infosys, India’s second-largest software services exporter, anticipates a major shift in the way IT firms approach talent management. Speaking at the World Economic Forum in Davos, CTO Rafee Tarafdar highlighted the evolving market, driven by emerging technologies such as generative AI.
Tarafdar noted that the traditional ‘pyramid’ model, where most employees are at the entry level, may give way to a more dynamic framework. Infosys is actively experimenting with strategies to upskill its workforce while creating roles that did not exist before, including specialists in responsible AI and model engineering.
In addition to re-skilling existing employees, the company has developed bespoke small language models tailored to industries like banking and IT operations, offering these as services to clients. With AI creating both challenges and opportunities, Infosys believes a blend of evolving skills and innovative hiring will shape the future of tech talent.
As the IT sector grapples with rapid innovation, India’s Infosys remains focused on adapting its workforce to meet new demands, ensuring it remains at the forefront of the global technology industry.
Sarah de Lagarde’s world turned upside down after a train accident in 2022 cost her an arm and part of her leg. Offered a basic prosthetic by the NHS, she found its functionality limited and struggled with everyday tasks for nine months. However, her life changed when she received an advanced AI-powered bionic arm that learns her movements and anticipates her intent by detecting muscle signals. With this, she regained the ability to perform delicate actions, such as picking up an egg or pouring water.
The remarkable advancements in robotics are not limited to prosthetics. Intelligent machines are being developed to match human dexterity in fields ranging from healthcare to agriculture. Cambridge-based Dogtooth Technologies has created robots capable of picking soft fruit as delicately as human workers, while other projects aim to handle hazardous nuclear waste or assist in complex industrial tasks. Robots like Boston Dynamics’ Atlas and Google’s DEX-EE are already demonstrating the ability to adapt and learn through embodied AI, mimicking human reflexes and movements.
Despite these breakthroughs, experts caution that AI-driven robots are still years away from matching the natural abilities of the human hand. Current limitations include sensory integration, haptic feedback, and adaptability to new environments. Safety, ethical concerns, and potential job impacts are also key issues as this technology develops. Still, pioneers like de Lagarde envision a future where robotic dexterity can assist not only people with disabilities but also support the elderly and others in need, highlighting the transformative potential of AI.
