Collection
AI, automation, and how the nature of work is being transformed.
26 pieces
Future of WorkLeadership is no longer about having the most information. It is about designing organizations that make the best decisions. A framework grounded in 2026 research from McKinsey, Deloitte, BCG, and Microsoft.
Future of WorkMost productivity advice about AI tells you what to outsource to it. That question matters, but it misses the harder one: what do you keep? The answer to that question will determine what kind of person you become over the next ten years.
Future of WorkThe term has been diluted to the point of uselessness. Here's what agents actually are, why most production deployments fail, and what the infrastructure gap looks like from the inside.
Future of WorkEvery few years, a new tool promises to take the human bias out of hiring and replace it with something more rigorous. The tool always underperforms on the thing that matters most: predicting whether a specific person will succeed in a specific role at a specific company. Here is why that prediction remains stubbornly human.
Future of WorkThe fractional executive model is growing fast, and most of the enthusiasm is justified. But the model has a structural limit that neither side talks about honestly: the things that make a leader effective at a company usually require more time than fractional allows.
Future of WorkAI is not just changing who does the work. It is changing what the work is worth. As AI tools raise the output floor for every knowledge worker, the question of what human talent commands, and why, is being rewritten in real time.
Future of Work88% of organisations use AI somewhere. Fewer than 40% have scaled beyond a pilot. The gap isn't technology, it's how companies frame the problem from the start.
Future of WorkThe optimists cite history to argue we shouldn't worry. The pessimists cite history to argue this time is catastrophically different. Both are misreading it. The history of automation is more complicated, and more honest, than either side is willing to be.
Future of WorkAI has already changed how candidates are found. What it hasn't changed — and what I believe it won't change in the foreseeable future — is how the best candidates are persuaded. The sourcing problem was never primarily about finding people. It was about reaching the right people in a way that makes them want to engage.
Future of WorkDistributed teams are not remote teams with better Slack. They are a fundamentally different organizational model that requires different hiring, different communication, and different leadership. Most companies that try it fail not because the model is wrong, but because they apply co-located assumptions to a distributed reality.
Future of WorkAI captures what was written down. The most valuable knowledge in any organisation was never written down. That gap is not a bug in the technology, it's the central challenge of deploying AI that actually works.
Future of WorkThe assumption is that AI flattens hierarchy and reduces the need for formal structure. The opposite is true. AI compresses execution, and when execution is no longer the bottleneck, the quality of your decision architecture becomes everything.
Future of WorkSoftware operations learned it after enough production outages. Finance learned it after enough risk events. Hiring hasn't learned it yet, but the lesson is coming. The only question is whether you're ready before the failure that forces it.
Future of WorkEvery conversation about AI and recruiting focuses on replacement. The more accurate framing is redesign. The tactical, high-volume parts of the job are being automated. What's left is more valuable, and harder.
Future of WorkAI is changing hiring. Most of the conversation about how is wrong. The changes that matter are not about automation replacing recruiters, they are about who wins the talent competition in a world where sourcing is commoditised.
Future of WorkAI is not fixing the fundamental problem with education, which is not content delivery, it is access, relevance, and the signal that credentials send to employers. It is, however, creating new paths around the problem.
Future of WorkHiring is going through the same transition that software operations went through a decade ago, from human-operated to AI-orchestrated. The companies that understand this shift will have a structural advantage. The ones that don't will wonder why their hiring keeps breaking.
Future of WorkIndia's relationship with AI is different from the relationship that Silicon Valley assumes. The constraints are different, the opportunities are different, and the version of AI that matters most for India is not the version that dominates the global conversation.
Future of WorkFive years of data and experience have settled some of the questions about remote work and surfaced new ones. The debate has moved from whether remote work is possible to which kinds of work it suits and which it doesn't.
Future of WorkThe geography of talent has dissolved faster than the geography of hiring processes. Most companies still filter candidates by zip code while the best people for the role are somewhere they've never sourced from.
Future of WorkThe degree has not been replaced. But its dominance as a signal is eroding in specific domains, and the erosion is accelerating. Understanding where credentials still matter, and where they are being bypassed, is now a practical question for anyone building a career or a team.
Future of WorkThe observable differences between great performers and good performers tend to accumulate in a small number of patterns. Not natural ability. Not credentials. The habits of mind and work that compound over time.
Future of WorkThe most capable person in a room is not always the most visible one. Talent and visibility are different variables, determined by different things. Understanding why they diverge — and what to do about it — matters for anyone trying to build great teams or advance their own career.
Future of WorkAI will either be the most powerful opportunity-expanding technology in history or the most efficient mechanism for concentrating advantage ever built. Which one it becomes depends on decisions being made right now by people who are not asking that question.
Future of WorkThe questions about what AI changes to work are legitimate. The mistake is treating the answers as settled, when every confident prediction about this so far has had to be revised.
Future of WorkNot everything that seems replaceable is. The answer turns out to be less about complexity and more about something else.