Tech
OpenAI ‘pauses’ Stargate UK: Sudden setback or calculated move? | Computer Weekly
OpenAI has paused plans for its Stargate UK investment, which was to take place in concert with artificial intelligence (AI) datacentre builder Nscale and in the government’s AI growth zones.
The Microsoft-backed company has cited concerns about rising energy costs as well as the regulatory environment in the UK, particularly in copyright.
Affected locations – should OpenAI’s “pause” become permanent – are in the government’s north eastern AI growth zone centred on north Tyneside and Blyth in Northumberland.
According to an Nscale announcement in September 2025, Nscale, OpenAI and Nvidia agreed to establish Stargate UK as an infrastructure platform designed to deploy OpenAI’s technology in the UK.
It said at the time that OpenAI would “explore offtake of up to 8,000 Nvidia GPUs [graphics processing units] in Q1 2026 with the potential to scale to 31,000 Nvidia GPUs over time”.
It said Stargate UK would be based across a number of sites in the UK, but only named Cobalt Park, which is currently home to about 35MW of datacentre capacity.
Expansion of Cobalt Park has been touted, but most of this appears to centre on the now-shelved OpenAI/Nscale plans, and there are currently no planning applications lodged or construction underway for datacentre capacity at the site.
Calculated pause?
That much of OpenAI’s plans have been hedged with conditional wording and lack of concrete progress is not lost on some industry watchers. Bill McCluggage – director of IT strategy and policy in the Cabinet Office and deputy government CIO from 2009 to 2012 – said OpenAI’s decision to pause its proposed Stargate datacentre in the north east looks less a sudden setback and more a calculated pause.
“The stated concern about uncertainty around UK copyright rules and high energy costs are real enough, particularly given the government’s fickle approach to copyright regulation and how power-hungry these facilities are,” he said. “But they are unlikely to be the whole story.
“With an IPO on the horizon, it is hardly surprising that OpenAI is tightening its risk profile, especially against a backdrop of rising infrastructure costs, supply chain fragility in advanced chips, and questions about the pace of AI commercial returns. Reports of delays and disagreements in similar US projects only reinforce that caution.”
McCluggage also suggested the move may be a means to apply pressure for clearer government support and policy certainty.
“In that light, the pause feels less like retreat and more like prudent positioning before committing to a multibillion-pound bet,” he said.
OpenAI has also cited concerns about “regulation”, in particular the UK government stance on copyright with regard to AI training. Here, the government had originally been set to allow AI training to be exempt from copyright, but then faced a backlash from creative sectors fronted by Elton John and Dua Lipa. In late March, the government adopted a holding position that barred open access to copyrighted works for AI training.
Liberal Democrat peer Lord Clement-Jones said: “This is disappointing news, but citing regulation as a reason for not proceeding with their investment in the UK is laughable given the European regulatory landscape and similar copyright issues. Energy costs and other wider economic risks may well have deterred OpenAI alongside potentially overstretched global investment plans.”
Call for clarity
Conservative peer Chris Holmes called for clarity around the issue, and the need for a UK AI Bill.
“What we all need when it comes to AI is clarity, consistency and a coherent approach,” he said. “From the government right now, this is not quite the case. By yet again ‘ducking’ the copyright issue last month they leave everyone in limbo, with a sub-optimal non-solution for all concerned.
“If the government really wants us to optimise the AI opportunity, they must bring forward a cross sector, cross economy AI Bill that brings clarity, consistency and coherence of approach which will benefit datacentre build, startup and scaleups, and a real sense of UK sovereign AI,” said Homes. “Sadly, it seems in the upcoming King’s Speech on 13 May, they have no intention of taking this clear positive action.”
OpenAI and the UK government signed a memorandum of understanding in July 2025 aimed at strategic partnership to deliver AI-driven growth.
At the time, OpenAI cited its use by big UK names that included the NHS, NatWest, Oxford University and Virgin Atlantic.
OpenAI was careful to label commitments as “non-binding”, but these included exploring use of AI in the public sector, developing UK sovereign AI capability and security research.
At the same time, OpenAI said it would increase its footprint in the UK from the current 100 staff.
Tech
Bremont Is Sending a Watch to the Moon’s Surface
A multifaceted decahedral black ceramic bezel and sandwich-style three-piece case—a reworking of Bremont’s signature Trip-Tick construction—house a chronometer-rated automatic chronograph movement made by Sellita, with a 62-hour power reserve.
The watch will be a passenger aboard the FLIP rover, due to launch as part of Astrobotic’s Griffin Mission One (Griffin-1), expected to land at the lunar south pole at some point in the second half of this year.
It’s a one-way mission: The rover will remain permanently on the lunar surface, with the watch ticking away as it roams the landscape. FLIP’s objectives include reaching elevated positions on the lunar terrain, gathering data on lunar dust accumulation, testing dust-mitigation coatings, and surviving a two-week lunar night in hibernation (which would be a first for a US rover).
In terms of serious timekeeping data for Bremont, the mission is frankly symbolic. The watch will be positioned vertically in a specially designed housing within the FLIP’s chassis, between its front wheels. Only the watch head, weighing 107 grams, is included, glued in place using a specialist composite, its face visible to FLIP’s HD cameras. But the hibernatory periods will mean the watch (whose mechanical movement is driven in normal circumstances by the motion of the wearer’s arm) will stop running once its 62-hour power reserve runs down.
When the FLIP is on the move again, its motion should—in theory—jolt the mechanism into action once more. Despite the gravitational pull that’s a sixth of the Earth’s, the acceleration, pitches, and tilts of the rover should swing the winding rotor, if with less torque and efficiency than on Earth.
“My guess is that the watch will function from time to time, but for short periods,” Cerrato says. “We will learn along the way. But that’s what is exciting—it projects us into a thinking process that is absolutely out of the box. Just the fact of having it there is inspiring.” However, there is little doubt that Bremont will, just like other brands with any ties to the cosmos, mine its new space connection for all it is worth.
FLIP itself, which weighs just 1,058 pounds and carries a mix of commercial and government payloads, four HD cameras, and a deployable solar array, is fundamentally a technology demonstrator for Flexible Logistics and Exploration (FLEX), Astrolab’s much larger SUV-sized rover destined to support NASA’s Artemis program. The firm developed the FLIP from scratch after NASA’s equivalent vehicle for which the Griffin-1 mission was contracted, the VIPER, was put on pause in 2024. This left Astrobotic seeking a stand-in in short order. Astrolab, which signed the contract within a month of hearing about the opportunity in the fall of 2024, took the FLIP from blank sheet to finished rover in roughly a year.
Its standout feature is its hyper-deformable wheels, minutely structured from silicone, composite, and stainless steel, which create a soft, enlarged contact surface with the terrain. “It’s like if you’re off-roading in a Jeep or Land Rover where you let some air out of the tires to go softer and spread the load over a larger area,” explains Astrolab’s founder, Jaret Matthews. While the moon’s nighttime temperatures of around -200 degrees Celsius (around -328 Fahrenheit) would cause conventional rubber tires to become glass-like and shatter, Astrolab’s solution is intended to keep the rover from sinking into the unconsolidated lunar dust—or regolith—that covers the environment.
Tech
Novo Nordisk partners with OpenAI to AI-power drug development | Computer Weekly
Danish pharmaceutical company Novo Nordisk has partnered with OpenAI to support drug research and development. Through the partnership, Novo Nordisk said it plans to deploy advanced artificial intelligence (AI) capabilities to analyse complex datasets, identify promising drug candidates and reduce the time required to move from research to patient.
The company said its use of AI has been structured with strict data protection, governance and human oversight to ensure ethical and compliant use. This latest partnership is being positioned as a key part of the company’s strategy to use AI to transform healthcare and enable it to bring new and better treatment options to patients faster.
In 2024, a break-out session run during its Capitals Market Day presented Novo Nordisk’s strategy, discussing how it uses data science and AI and its future plans. The presentation shows that the company set up an AI centre of excellence in 2021, and had begun ramping up investment in high performance computing and graphics processor units (GPUs) by 2023. The company said it has deployed a data pool called FounData, where all data from completed clinical trials are pooled and prepared for insights-generation.
It has also deployed NovoScribe, an AI-powered platform built using MongoDB Atlas Vector Search, Amazon Bedrock and LangChain to automate and accelerate the creation of clinical study reports. Novo Nordisk said NovoScribe reduces the time to regulatory submissions.
At the time, the company said external partnerships and collaborations would continue to play an important role in reaching its AI ambitions.
Earlier this year, Christos Nicolaou, a senior scientific director at Novo Nordisk, posted on LinkedIn that the company has now joined Ligand-AI, a new project funded by the EU public-private partnership, Innovative Health Initiative (IHI).
In the post, he said the project’s goal is to generate high quality, large, open datasets of protein-ligand interactions for thousands of proteins. “In the spirit of open science collaboration, these datasets will be shared and used to implement models and methods to improve AI-driven drug discovery,” he said.
This latest partnership with OpenAI builds on technology partnerships it has with AWS, Microsoft, Google and Hugging Face, as well as its existing collaboration with OpenAI.
“This partnership is one important step in positioning Novo Nordisk to lead in the next era of healthcare,” said Mike Doustdar, president and CEO of Novo Nordisk. “There are millions of people living with obesity and diabetes who need treatment options, and we know there are therapies still waiting to be discovered that could change their lives.
“Integrating AI in our everyday work gives us the ability to analyse datasets at a scale that was previously impossible, identify patterns we could not see, and test hypotheses faster than ever. This means discovering new therapies and bringing them to market faster than ever before.”
OpenAI said it would be assisting Novo Nordisk in upskilling the company’s global workforce and enhancing AI literacy. Through the partnership OpenAI’s capabilities will also be used to improve efficiency in manufacturing, supply chain and distribution, and corporate operations. The company is starting pilot programmes across research and development, and manufacturing and commercial operations, with full integration by the end of 2026.
Tech
Flood warning: How citizens’ AI agents will swamp public services | Computer Weekly
The people running UK public services are busy working out how artificial intelligence (AI) might improve things.
There’s some good stuff happening, like tools to digitise planning information, transcribe probation officers’ conversations or rapidly assess stroke victims. There’s some nicely radical thinking coming out of various pockets of the Government Digital Service and the Department for Science, Innovation and Technology. Teams across government are running countless experiments.
But what if governments are looking through the AI telescope from the wrong end? What if citizens’ own use of AI to access public services proves to be an even more transformative force?
Creating friction
Many public services rely on friction to stay viable. They depend on slow, confusing, frustrating user experiences to put off those otherwise eligible – how often do people just get fed up trying, and give up? This is both unfair and politically convenient. You could say “’twas ever thus” – until now.
From parents seeking special needs support to property owners appealing council tax bands, it’s often the friction of bad service design that restrains demand, not the law.
AI – specifically AI agents – will remove that friction. Your AI agent will be doggedly relentless in how it accesses public services on your behalf, however byzantine those services may be. It will make sure your application is perfectly crafted to maximise your chances of getting what you want, treating any appeals process as just another stage to be navigated.
Ask your agent
I’m lucky to have played a lot with AI agents recently – the likes of OpenClaw, PicoClaw and Claude Cowork. I recently ran an experiment with OpenClaw – what would an AI agent do if I asked it to tell me whether the council tax band for my house was fair, in comparison to my neighbours?
It came back immediately to tell me the band was higher than all my neighbours and suggested some next steps it could take. At this point I stopped it, as I’d realised something stark.
If I’d have let it, my AI agent would happily have run off to compare neighbours’ floor areas by querying the Gov.uk Energy Performance Certificate API; it would have measured neighbours’ extensions from Ordnance Survey; downloaded Land Registry’s historic house price dataset; searched property websites for number of bedrooms; and researched how best to craft an appeal over my council tax band to the Valuation Office Agency. It would then have written a far better appeal letter than I ever could and submitted it on my behalf. Just like that – all without any intervention on my part.
Now I might still have lost the appeal, but the cost to me in time and hassle would have been negligible compared to even three months ago – one click and about 12p, which is the most expensive it’ll ever be. The friction that stops people from appealing their council tax band just disappeared. Ditto every other public service.
Now what?
Agentic flooding
Welcome to the new frontier of “agentic flooding”, a term coined by Chris Schmitz, a PhD student at Berlin’s Centre for Digital Governance. He’s created a dashboard highlighting increased demand for public services which might be attributed to citizens’ use of AI.
For example, benefit appeals to the Department for Work and Pensions have increased by over 60% since the first benefit-specific AI tools appeared in 2022. And this was before AI agents appeared on the scene at the end of 2025.
Governments are not remotely ready for the coming explosion in demand for their services driven by AI agents. It might take a couple of years, but it’s coming.
Much of this demand will be entirely legitimate. Some of it doubtless will be fraudulent. But demand is demand, and AI agents don’t ever get bored – they negate the friction that used to keep demand in check.
Adding more friction to restrict AI agents would see the government kicking off an AI arms race against its citizens in which both sides lose. Instead, governments will need to clarify – if not tighten – countless rules, policies, processes and regulations, otherwise public services risk being swamped. Along the way, policy grey areas will be eliminated, and that’ll be a loss.
All this won’t be popular, particularly if done in a hurry in response to a crisis.
There’s been a great emphasis in Whitehall on using AI to write better policy papers. I hope they’re using AI to explore the myriad tricky policy responses required to respond to the imminent explosion in demand.
Oh, and by the way – the same will apply for the private sector.
Tom Loosemore is a partner at consultancy Public Digital.
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