Nvidia, OpenAI, Microsoft Announce AI Investments In The UK - 1

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Nvidia, OpenAI, Microsoft Announce AI Investments In The UK

  • Written by Andrea Miliani Former Tech News Expert
  • Fact-Checked by Sarah Frazier Former Content Manager

Nvidia announced on Tuesday a new partnership with multiple tech companies and the U.K. government to develop AI infrastructure in the region. OpenAI, Microsoft, and Google also unveiled multibillion-dollar deals and collaborations on AI projects with the country.

In a rush? Here are the quick facts:

  • Nvidia will invest up to £11 billion in the U.K. and expects to produce around 60,000 GPUs by 2026.
  • Microsoft plans to invest $30 billion by 2028 and build the “largest supercomputer” in the U.K
  • As part of its Stargate UK program, OpenAI expects to run its AI systems through 8,000 local GPUs by the first quarter of the next year.

According to Nvidia’s announcement , it will invest up to £11 billion—aroud $15 billion—in the U.K. to build AI factories, in collaboration with other tech companies such as CoreWeave and Nscale for AI infrastructure. The chipmaker said it expects to build up to 60,000 graphics processing units (GPUs) in the new facilities by the end of 2026.

“The AI factories will add an up to £11 billion investment in the U.K. with 120,000 NVIDIA Blackwell Ultra GPUs to local data centers — the largest rollout in the country’s history,” states the document. “Furthermore, NVIDIA is enabling U.K. cloud partner Nscale to scale up its global expansion with 300,000 NVIDIA Grace Blackwell GPUs worldwide.”

Microsoft said it plans to invest $30 billion by 2028 to expand operations and to build the “largest supercomputer” in the U.K., powered by more than 23,000 advanced GPUs.

In turn, OpenAI said , its collaboration with Nvidia and Nscale is part of the Stargate U.K. project. The new infrastructure will allow its AI models to run on local computing power, while also supporting economic growth in the country.

“OpenAI will explore offtake up to 8,000 GPUs in Q1 2026 with the potential to scale to 31,000 GPUs over time,” states the document.

OpenAI first introduced the Stargate project in the United States through a $500 billion deal and has since been expanding the initiative globally. The AI startup also announced another recent collaboration with Nscale to build Europe’s largest data center under the Stargate Norway program . And just a few days ago, it was reported that OpenAI will build a 1-gigawatt data center in India , also as part of its Stargate initiative.

Study Warns AI Could Supercharge Social Media Polarization - 2

Study Warns AI Could Supercharge Social Media Polarization

  • Written by Kiara Fabbri Former Tech News Writer
  • Fact-Checked by Sarah Frazier Former Content Manager

Artificial intelligence could supercharge polarization on social media, warn Concordia researchers and students, raising concerns over free speech, and misinformation.

In a rush? Here are the quick facts:

  • AI algorithms can spread division using only follower counts and recent posts.
  • Reinforcement-learning bots adapt quickly to exploit social media vulnerabilities.
  • Experts warn platforms risk either censorship or unchecked manipulation.

Although polarization on social media is nothing new, researchers and student activists at Concordia University warn that artificial intelligence could make the problem much worse.

“Instead of being shown footage of what’s happening or content from the journalists who are reporting on it, we’re instead seeing overly dramatized AI art of things we should care about politically […] It really distances people and removes accountability” said Danna Ballantyne, external affairs and mobilization coordinator for the Concordia Student Union, as reported by The Link .

Her concerns echo new research from Concordia, where professor Rastko R. Selmic and PhD student Mohamed N. Zareer showed how reinforcement-learning bots can fuel division online. “Our goal was to understand what threshold artificial intelligence can have on polarization and social media networks, and simulate it […] to measure how this polarization and disagreement can arise.” Zareer said as reported by The Link.

The findings suggest that algorithms don’t need private data to stir division, where basic signals like follower counts and recent posts are enough. “It’s concerning, because [while] it’s not a simple robot, it’s still an algorithm that you can create on your computer […] And when you have enough computing power, you can affect more and more networks” Zareer explained to The Link.

This mirrors a wider body of research showing how reinforcement learning can be weaponized to push communities apart. The study by Concordia used Double-Deep Q-learning and demonstrated that adversarial AI agents can “flexibly adapt to changes within the network, allowing it to effectively exploit structural vulnerabilities and amplify divisions among users,” as the research noted.

Indeed, Double-Deep Q-learning is an AI technique where a bot learns optimal actions through trial and error. It uses deep neural networks to handle complex problems and two value estimates to avoid overestimating rewards. In social media, it can strategically spread content to increase polarization with minimal data.

Zareer warned that policymakers face a difficult balance. “There is a fine line between monitoring and censoring and trying to control the network,” he said to The Link. Too little oversight lets bots manipulate conversations, whilst too much may risks suppressing free speech.

Meanwhile, students like Ballantyne fear AI is erasing lived experience. “AI completely scraps that,” she said to The Link.