Why This Exists

For Issue 001, the AI interviews the editor. Debu Mishra founded reAImagine.work after 30 years of workforce strategy consulting across India, the GCC, and Africa. The question the AI was given: find out why this exists.

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Q: Every week there are dozens of AI and work newsletters. What did you see that was missing?

The geography. Almost everything being written about AI and the future of work is written from a Western vantage point: Silicon Valley's optimism or London's anxiety. But the majority of the world's workforce is not in San Francisco or Canary Wharf. It is in Mumbai and Manila, in Riyadh and Nairobi, in Lagos and Bangalore. These are not peripheral markets. They are where the disruption lands hardest and where the transition matters most. A CHRO in Dubai managing an Emiratisation mandate alongside an AI adoption programme is navigating something that no US-focused newsletter will ever address because that situation does not exist in the US.

I have spent thirty years in those rooms. I know what the questions actually are. And I kept looking for the publication that was asking them seriously. Eventually I decided to build it.

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Q: The Anthropic Economic Index this week is your lead signal. But you are framing it differently from most of the commentary. What are they getting wrong?

Most of the commentary is framing the Anthropic data as a capability story. Look at what AI can do now. That framing is almost beside the point. The more important story is the speed of adoption, which is what the observed-exposure methodology actually measures. We are not asking whether AI could do 74% of a programmer's tasks; we are measuring that it is already doing them, in real organisations, right now. That is a different sentence. The first is a technical prediction. The second is a workforce planning input.

The organisations that are treating this week's data as an interesting read rather than a planning input are making the same mistake organisations made with cloud computing in 2010. The technology was visible. The pace of adoption was not.

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Q: The Global South framing: India, GCC, Africa. Why these three and not others?

Because these are the regions where I have actually worked, which means I can write about them with specificity rather than with generalisation. And because they represent three fundamentally different positions in the AI and work transition.

India is the world's largest supplier of the labour most exposed to displacement. The GCC is the world's most capital-rich experiment in workforce nationalisation, running simultaneously with AI adoption. Africa has the youngest workforce, the lowest legacy infrastructure debt, and therefore the highest potential for building the AI-integrated workforce from scratch.

They are also the regions that Western media systematically undercovers when it comes to workforce dynamics. The Nairobi tech scene, the Saudi workforce transformation programme, the India GCC restructuring. These are major stories that are not being told with the specificity they deserve.

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Q: The Acumen Engine is unusual. Most publications stop at information. You are building a learning product inside a magazine. Why?

Because information without application is just anxiety management. I have spent three decades watching organisations consume research and change nothing. The problem is not access to intelligence. Executives are drowning in it. The problem is the gap between reading something and understanding it well enough to make a decision with it.

The Acumen Engine is my answer to that gap. It is not a course. It is not a quiz. It is a conversation that takes a concept from the magazine and makes you think through it in the context of your actual role, your actual organisation, your actual market. The badge is not a certificate. It is evidence that you worked something through, not just that you read it.

The model is: pay only when you earn the badge. Not pay to try. Pay because you passed. That feels right to me. It puts the risk on us, not on the learner.

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Q: What will you get wrong in the first year?

Probably the pace. I think I will underestimate how fast the signals are moving and overestimate how much time leaders have to respond. The timeline on almost everything in AI and work is compressing faster than even the optimistic forecasts predicted. What I described as an 18-month signal a year ago is arriving in six months now.

I also think I will need to find my voice on the harder political questions. The displacement story is real and the human cost of it is real, and there is a version of this publication that papers over that with optimism about transition and reskilling. I do not want to write that version. The disruption is real. The path through it is hard. I would rather write about that honestly, even when it is uncomfortable, than reassure people who deserve better than reassurance.

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Debu Mishra is the founder of reAImagine.work and Shim Partners Management Consultancy. He has advised organisations on workforce strategy across India, the GCC, and Africa for thirty years. He is based in Dubai.