AI data centres

Climate discussions in New York are being reshaped by two mounting pressures: rising energy costs for households and industry, and the surging electricity demand from artificial intelligence data centres. As negotiators and business leaders weigh decarbonisation goals against affordability and grid reliability, the rapid growth of AI is complicating plans to phase out fossil fuels, forcing climate policy to account for a new wave of power consumption.

A new report warns that climate change and the rapid growth of artificial intelligence are together placing unprecedented pressure on the world's water systems. Rising temperatures are disrupting rainfall and depleting supplies, while AI data centres consume vast amounts of water for cooling, intensifying competition for a scarce resource.

The European Union is moving to restrict the energy and water consumption of data centres, a sector whose rapid growth driven by cloud computing and artificial intelligence has put mounting pressure on electricity grids and water supplies. The proposal signals tighter regulation of tech infrastructure across member states, with debate focusing on how sustainability rules will affect data centre operators and Europe's digital economy.

AI companies that have taken on heavy debt to fund data centres and infrastructure are facing higher borrowing costs as bond yields rise. Rising yields increase the expense of refinancing, putting pressure on firms that have relied on cheap credit to finance the AI boom.

Big Tech is betting on smart glasses and AI-powered gadgets as its next major product category, but the devices face significant privacy challenges. Always-on cameras, microphones and AI assistants that continuously collect ambient data raise questions about consent, surveillance in public spaces and how companies will safeguard the information these wearables gather. The debate centres on whether consumers will accept the trade-off between convenience and constant data collection.

AT&S, the Austrian circuit board maker, is drawing attention for its role in producing substrates — the critical layers that connect advanced AI chips to the rest of a system. With demand for AI hardware surging, substrate supply has become a bottleneck, and companies like AT&S are racing to expand capacity to serve chipmakers and data centre builders.

Google has announced Project Suncatcher, a research initiative to run machine learning infrastructure on solar-powered satellite constellations in orbit. The plan, outlined on Google's research blog, envisions data centre-scale compute in space to tap unlimited solar energy as terrestrial energy demands from AI grow. Early discussion centres on feasibility, launch costs, and whether orbiting hardware could realistically scale.

Major political parties are pointing to a breach at OpenAI as evidence that more data centres are needed, arguing stronger domestic computing infrastructure is key to protecting sensitive data and reducing reliance on foreign providers. The claim has drawn attention amid ongoing debate over national security, cloud dependence, and the risks of concentrating AI systems in few hands.

Major technology companies are using guarantee structures to keep roughly $300 billion in AI-related financial commitments off their balance sheets, according to a Financial Times report. The arrangements, often backing data centre and infrastructure deals, raise questions about how much risk the sector is actually carrying as AI spending accelerates.

Venture capital firms that once prioritised carbon-cutting climate technologies are increasingly directing money toward companies that supply power for artificial intelligence, according to The Wall Street Journal. The shift reflects surging electricity demand from data centres, which has made energy generation and grid technologies a hotter bet for investors than emissions reduction itself.

Oracle is reportedly contractually obliged to pay investors in a data centre site even if the location has no electricity supply. The Financial Times reports the arrangement shifts power-delivery risk onto the company, underscoring how aggressively Oracle is financing AI-era data centre capacity and the financial exposure that comes with projects racing ahead of grid availability.

Nvidia has brought LG Electronics into its Partner Network as a preferred cooling provider, as the company works to address the enormous power and heat demands of its AI data centre hardware. The deal gives LG a direct route to supply thermal management technology, amid growing focus on cooling as a bottleneck for AI infrastructure.

Reports indicate China may approve purchases of Nvidia's new RTX Pro 5500 chips by Alibaba and ByteDance, a potential easing of restrictions on advanced US semiconductor sales to major Chinese tech firms. The move would give two of China's largest companies access to hardware relevant to AI and data centre work, and investors are watching Nvidia's exposure to the Chinese market closely.

US contract chipmaker GlobalFoundries reports strong demand for Chinese optical modules as data centre construction accelerates. The company is expanding its presence in China to serve domestic clients amid an infrastructure boom, positioning itself to benefit from heavy investment in data centres despite ongoing tensions between Washington and Beijing over semiconductor supply chains.

Turkey has announced an initiative addressing artificial intelligence ahead of the COP31 climate summit. COP31 president-designate Murat Kurum said governments must openly discuss AI's growing energy consumption and 'start setting the terms,' signalling that the technology's power demands will be placed on the climate agenda. The move frames AI as an emerging environmental issue requiring international policy coordination.

Microsoft announced expanded Azure transparency reporting, new Surface devices and its own custom AI chips, strengthening its cloud and hardware lineup. The company is positioning the chips to reduce reliance on outside suppliers and to lower costs for AI workloads running across its data centres. Coverage focuses on how the moves fit Microsoft's broader push into artificial intelligence infrastructure alongside rivals such as Amazon, Google and Nvidia.

Student protesters confronted an NVIDIA executive over the climate impact of artificial intelligence, according to the Indian Express. The confrontation highlights growing concern that AI's energy demands and data centre expansion are driving up emissions. No further details about the location, the executive involved, or the protesters' specific demands were reported.

Advanced Micro Devices is being examined for its progress in edge AI computing and life sciences applications, raising questions about what the chipmaker is demonstrating in these emerging markets beyond its core data centre and PC businesses. Commentators are weighing whether its processors and accelerators can win a real foothold in these specialised sectors and what that would mean for investors and competitors.

Reports claim Scotland has a hidden pipeline of 'phantom' AI data centres — proposed projects that exist on paper but may never be built. The story raises questions about whether planning applications are inflating the apparent scale of AI infrastructure investment in Scotland, and what the proposals would mean for land, power and water use if they went ahead.

Micron is being discussed as a key beneficiary of the AI boom, with attention focused on its memory chips used in AI data centres. The discussion centres on investment insights into whether the company's HBM and DRAM business can keep growing as demand for AI hardware accelerates.

Electricity distributor Jemena is replacing 7-metre wooden power poles with 15-metre industrial poles rated up to 66,000 volts, a shift reporters link to surging electricity demand from AI data centres. The upgrades carry costs and visual impacts for communities, prompting debate about the infrastructure burden of the AI boom on ordinary neighbourhoods.