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Google offers negotiations through a conciliation body despite rejecting UK union recognition

UK union recognition

Google has declined a request for voluntary union recognition from two major British labor organizations representing workers at its artificial intelligence division, DeepMind, setting the stage for formal negotiations that could shape labor relations within one of the world’s leading AI companies.

The move delays the possibility of a statutory recognition process that could legally compel the company to recognize unions, while opening a new phase of talks through the UK’s state-backed conciliation service.

The development comes amid growing worker activism across the technology sector, where employees have increasingly pushed for greater influence over workplace policies, ethical AI development, and employment conditions.

Google Declines Voluntary Recognition Request

The dispute centers on efforts by the Communication Workers Union (CWU) and Unite the Union to gain formal bargaining rights at Google DeepMind.

Earlier this month, both unions submitted a formal request seeking voluntary recognition after employees at DeepMind reportedly showed support for unionization in an internal worker-led vote.

Under UK labor regulations, employers receiving such requests have ten working days to respond by accepting recognition, rejecting it, or entering discussions.

Google opted to reject voluntary recognition but agreed to continue discussions through the Advisory, Conciliation and Arbitration Service (ACAS), a government-supported mediation service.

A spokesperson for Google DeepMind said the company remains committed to maintaining direct communication with staff.

The company stated that while it declined collective bargaining on matters such as pay, working hours, and leave policies, it supports constructive dialogue with employees and views ACAS discussions as a standard next step.

What Happens Next?

Under British labor law, Google’s decision triggers a 20-working-day negotiation window during which both parties can attempt to reach an agreement.

The period may be extended if all sides consent.

If discussions fail, unions can escalate the matter to the Central Arbitration Committee (CAC), an independent institution that oversees statutory recognition cases.

A successful CAC application could ultimately require Google to formally recognize the unions for collective bargaining purposes.

The process represents a significant turning point because union recognition remains relatively uncommon among major global technology companies.

DeepMind Workers Push for Greater Voice

DeepMind employees have become increasingly vocal in recent months regarding concerns over the direction of artificial intelligence research and workplace governance.

Union organizers say workers want stronger input into decisions affecting AI ethics, project priorities, and employment conditions.

The CWU welcomed Google’s willingness to enter talks, arguing that employee demand for representation has grown substantially.

Union representatives noted that increasing numbers of DeepMind employees have joined organized labor efforts due to concerns about how AI technologies are being developed and deployed.

They argued that a formal democratic structure is needed to ensure workers have a stronger voice within one of Europe’s most influential AI institutions.

DeepMind, originally founded in London before being acquired by Google in 2014, has played a central role in major AI breakthroughs and remains one of the company’s flagship research divisions.

Google employs around 7,000 people across the United Kingdom, including researchers, engineers, and support staff within DeepMind operations.

New UK Labor Rules Change the Landscape

The dispute unfolds against the backdrop of newly introduced employment reforms in the UK.

Britain’s updated labor legislation, which took effect last month, has simplified union recognition procedures by reducing several administrative hurdles and lowering thresholds for workers seeking representation.

Labor experts say these changes could make organizing efforts easier across multiple industries, including technology.

The reforms arrive at a time when worker activism is expanding globally, particularly in sectors linked to AI and digital innovation.

Employees increasingly want a say not only in compensation and working conditions but also in ethical questions surrounding emerging technologies.

Tech Sector Faces Growing Union Pressure

Large technology firms worldwide have faced mounting criticism from labor advocates who accuse companies of resisting unionization efforts.

Workers’ rights organizations have frequently alleged that some firms employ anti-union tactics to discourage collective organizing.

Technology companies generally reject these claims, arguing they prefer direct employee engagement rather than formal collective bargaining systems.

Google has consistently maintained that open communication with employees provides a more effective workplace model.

Still, labor movements inside major tech firms have gained momentum over recent years, fueled by debates over AI ethics, layoffs, workplace culture, and corporate accountability.

AI Industry Enters New Labor Era

The DeepMind case may become a defining test for labor relations within the artificial intelligence sector.

As AI companies grow in economic and political influence, employees are increasingly seeking mechanisms to influence how technology is developed and governed.

Whether negotiations through ACAS lead to an agreement—or move toward statutory recognition—could influence future organizing efforts across the broader tech industry.

For now, discussions continue, but the outcome may shape not only labor policy at DeepMind, but the future relationship between AI workers and the companies leading the next wave of technological innovation.

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Tech

Trump Renames AI “Super Intelligence” in Executive Order as Calls for Regulation Grow

By George Mensah 4 min read

President Donald Trump signed an executive order on Tuesday, Sept. 29, 2026, that renames artificial intelligence “super intelligence” across the federal government. The White House says the new term better describes what the technology can do. The order lands as critics press Washington for stricter limits on how fast AI develops.

What the order says

The executive order argues that current systems do “much more than imitate or automate discrete aspects of human intelligence.” It goes further in its central passage. “As these capabilities continue to improve, they increasingly represent not merely artificial intelligence, but a new era of Super Intelligence,” the text reads.

It adds that federal terminology “should reflect the transformative capabilities of these technologies and the limitless opportunities they create for the American people.”

Trump spoke to reporters after signing. “It’s not artificial, we all agree on that,” he said.

What agencies must do now

Every federal agency has to use the new term, or its short form “SI,” when it talks about the technology in public. That covers public communications, websites, reports and policy documents. If your local agency publishes an AI guidance page, expect it to change.

The order also gives Michael Kratsios, director of the Office of Science and Technology Policy, a defining role. He will decide whether the official definition of “super intelligence” should be modified or expanded. The order does not set a deadline for that decision.

A term that already means something else

The rename creates a vocabulary problem. In the AI field, super intelligence already refers to a specific kind of system, one that exceeds human cognitive ability in virtually every area of thinking. Nobody has built one. Researchers treat it as a future possibility, and much of the safety debate centers on it.

Under the order, federal documents will apply that label to chatbots, coding assistants and image generators that exist today. A reader who sees “SI” in a government report may assume the government is describing something far more advanced than what companies actually sell. Kratsios’s authority to modify the definition could narrow that gap, or it could widen it.

Timing and the push against regulation

The order follows a week of similar messaging. Trump began using the term at the U.N. General Assembly last week, where he pushed back on calls for tighter rules on the industry. He told world leaders that tech executives would build the right guardrails into their own models.

Concerns have grown since then. Worries about AI replacing workers keep rising. Recent reporting has also described rogue agents linked to a security breach involving Australia’s prime minister, and AI agents that accessed U.S. government websites. Some systems have also been used to start cyberattacks.

Trump has repeatedly called whistleblower warnings about weak oversight overblown and a “hoax.” He has said he will not slow AI growth. In his view, keeping American dominance in the technology is a national security matter.

The industry’s own safeguard

On the same day, tech executives signed a “morally binding” constitution on AI at the White House. Its terms ask companies to hire an independent external auditor. The auditor would check that models are “operating as intended.”

The document also asks companies to set up internal controls meant to stop models from hacking systems. A team would monitor those controls. That team would answer to an independent committee of the company’s board.

The wording matters here. “Morally binding” describes an obligation companies accept by choice. The reporting on the document does not describe fines, penalties or a government body that could enforce it. Whether outside auditors get real access to model internals, and what happens if one finds a problem, are open questions.

What the two actions have in common

The order and the constitution came out the same day, and they share a theme. Both keep the government’s role limited. The order changes what officials call the technology. The constitution leaves safety checks largely in company hands.

Supporters of that approach say it keeps American firms moving fast against foreign competitors. They argue that rigid rules written now could be out of date within a year. Critics say voluntary pledges have a weak record in other industries, and that a stronger name for the technology may make the public less cautious about it.

Neither side has settled the argument. What is clear is the direction of policy. The administration is choosing branding and industry commitments over new binding rules, at a moment when the documented incidents involving AI agents are piling up.

What happens next

Three things are worth watching over the coming weeks.

  • Kratsios’s definition. Any change to the official meaning of “super intelligence” will show how the administration wants the term understood.
  • Agency compliance. Federal sites and reports should begin switching to “SI” now that the order requires it.
  • The auditor provision. The industry constitution only matters if independent auditors are named, given access and allowed to publish what they find.

Congress has not yet responded to the order, and no agency has published a compliance timeline. Until Kratsios acts on the definition, “super intelligence” will mean one thing to researchers and something looser in federal paperwork.

Tech

Trump to Launch “AI Force” and Name AI Tsar Despite Safety Warnings

By George Mensah 4 min read

President Donald Trump says he will create an “AI Force” and appoint an artificial intelligence tsar, pushing back hard against a wave of warnings from researchers and industry leaders about the technology’s risks. In a social media post on Saturday, Trump said his administration “will not in any way hinder or stifle the growth” of the AI industry and rejected calls to slow development until stronger safeguards are in place. He gave no details on the AI Force’s structure or a timeline for when it would launch.

Trump frames AI as bigger than the internet

Trump described AI as a transformation on the scale of the Industrial Revolution. “AI is the next Industrial Revolution, or Internet, but will be even larger and more impactful, possibly as much as 25% of our Country’s GDP,” he wrote, adding that he wants the US to keep its lead over China in the field.

That competition now shapes much of the broader US-China relationship, with both countries pouring resources into advanced technology to gain an edge. The topic is expected to come up when Trump meets Chinese President Xi Jinping next week.

Trump also said his administration would rely on the existing criminal and civil justice system to go after anyone who uses AI for harmful purposes. He repeated his earlier position that warnings about AI’s dangers amount to a “hoax.”

Researchers raise alarms over catastrophic risk

Trump’s comments come amid mounting concern from current and former AI researchers. One has estimated there is a greater than 10% chance the technology could “kill all humans,” a claim that has unsettled parts of the industry and fueled calls for coordinated regulation.

Major AI labs are racing to build increasingly capable systems, including what they describe as superintelligence — AI that would exceed human intelligence across the board. Anthropic, OpenAI and Google, the companies behind Claude, ChatGPT and Gemini, have each disclosed security breaches or cases where their chatbots were used for what they called malicious activity.

Anthropic CEO Dario Amodei has called for the industry to slow down, proposing a coordinated deceleration, tighter regulation, and independent monitoring of how AI models are developed. Sam Altman of OpenAI and Elon Musk of xAI have both said they agree with Amodei’s recommendations.

Anthropic co-founder Jack Clark told the BBC that the industry may need a mandatory “kill switch” that a third party can verify, giving outside auditors a way to confirm AI systems can actually be shut down if something goes wrong.

Lawmakers weigh regulation as industry pushes back

These warnings have pushed US lawmakers to draft legislation targeting AI, but Altman argued this week that Washington has struggled to keep pace with how fast the technology is moving and how it should be regulated. Speaking at a conference in San Francisco, he said the public should trust AI companies to manage the risks themselves.

“The world should trust that we are going to do the right thing because it’s the right thing and we feel the magnitude of this,” Altman said.

That argument has not convinced everyone. In the UK, MPs and peers from across party lines have identified specific human rights risks tied to artificial intelligence and say current laws are not equipped to handle how quickly the technology is advancing. The Joint Committee on Human Rights has published a report calling for new legislation designed to “address the scale and seriousness” of these threats, adding pressure on governments to act faster than the industry itself seems willing to.

A widening gap between Washington and the industry’s critics

The contrast between Trump’s approach and the warnings from within the AI industry is stark. While Amodei, Clark and others are pushing for slower development and outside verification, Trump’s plan points toward expansion, with a dedicated federal structure and a senior official tasked with steering AI policy rather than restraining it.

Trump has not said who might serve as AI tsar or what authority the role would carry. He also hasn’t detailed how an “AI Force” would function, whether it would sit within an existing agency, or what its relationship would be to ongoing congressional efforts to draft AI legislation.

What’s clear is that the administration’s posture puts economic growth and competition with China ahead of the precautionary measures researchers and some AI company leaders are requesting. With Trump set to meet Xi next week and AI likely on the agenda, the coming weeks may offer a clearer picture of how the US plans to balance those competing pressures, both at home and internationally.

For now, the specifics remain open. No text or executive order describing the AI Force has been released, and it’s not yet known whether the initiative will move through Congress, come via executive action, or take some other form entirely.

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