Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

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Thursday, 7 May 2026

Ten Days at DeepMind

Ten Days at DeepMind

Ten Days at DeepMind

I woke up to the same headline as many of you: UK DeepMind employees have given management a ten-working-day ultimatum to voluntarily recognise two unions — the Communication Workers Union (CWU) and Unite — or face legal proceedings. This is not a narrow workplace squabble. It is a moment when workers, ethics and the future direction of frontier AI intersect in plain sight.

Why this matters to me

I have written about DeepMind before — about the hope and the responsibility that sits with organisations building powerful language and decision systems When will AI make us love each other?. What feels different now is not just the scale of technology, but the mood among the people who build it. Thousands of employees—engineers, researchers, product designers—are asking: who decides how our work is used?

The immediate trigger

The unionisation push follows concern among staff about defence and surveillance uses of company technology, including recent agreements and collaborations that touch on classified or military systems. Workers have used internal voting and a formal letter to ask for recognition; management has been given ten working days to respond before organisers move to legal routes Fortune, Morningstar/AFP and coverage in wider press Times of India.

What the demand represents

This demand is about three overlapping things:

  • Worker agency: People who create systems want a seat at the table when those systems are deployed — especially where they may be used by militaries or for surveillance.
  • Ethical accountability: When engineers worry that tools will enable harm, union representation becomes a mechanism for collective bargaining on values and constraints.
  • Institutional precedent: A recognised union at a major frontier AI lab would be a global signal — other labs and companies will watch closely.

How the company can respond (and why it matters)

There are different paths management can take in the next ten working days, and each will shape culture and risk in different ways:

  • Voluntary recognition and mediated negotiations: This would create a formal channel for worker concerns and could defuse escalation.
  • Refusal and legal wrangling: That route risks public backlash, strikes, or protracted litigation that distracts from research and product goals.
  • Constructive alternatives: Agreements on specific use-case restrictions, independent audits, or ethics oversight — if credible and co-designed — could be part of a solution.

My hope is that companies recognise this as a governance moment, not a threat. Giving workers a meaningful voice is a way to align internal incentives with societal expectations.

Bigger questions this episode raises

  • Who gets to set guardrails for frontier AI — engineers, executives, governments, or civil society?
  • Can company-level bargaining scale to influence multinational contracts and classified programmes?
  • Will recognition of unions at major AI labs create durable mechanisms for ethical red lines, or simply be another channel in political contestation?

These are not technical questions. They are social and political. They require imagination, law, negotiation and — most of all — good faith.

A brief, practical checklist for those watching

  • For employees: document concerns, organise transparently, and seek legal advice on recognition pathways.
  • For management: open a genuine dialogue, propose mediated talks, and publish timelines for concrete gestures.
  • For policy makers and civil society: watch for precedent-setting outcomes and consider how labour rights interact with AI governance.

Final reflection

I have long believed that AI's promise depends on how well we steward it together. The ten-working-day clock at DeepMind is a small, urgent test of whether large tech organisations can evolve governance from the inside out. If we get this right — by combining worker voice, independent oversight and public accountability — we reduce risk and increase public trust. If we ignore it, we should not be surprised when technology and society drift into conflict.

I will be watching how this unfolds. I hope the next ten working days become an exercise in listening and constructive change.


Regards,
Hemen Parekh


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