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If you are a consultant, a designer, or a strategy facilitator, your work is full of variables. Every client is different. Every project has its own politics, constraints, and moving parts. The context changes, the people change, and the stakes change. From that perspective, it is easy to conclude that your work is simply too nuanced and too situation-specific to be handled by AI. And that belief is understandable. It might even feel wise. But you might be wrong. We often con

The Real Bottleneck When Intelligence Becomes Abundant For years, we were told that innovation comes from serendipity. Great breakthroughs happened by accident. A mistake in a lab. A curious observation. A lucky deviation. Consultants romanticized the discovery process. Innovation labs institutionalized it. Professors built frameworks around it. Create collisions. Encourage randomness. Wait for magic. Voila! I think that framing made sense when intelligence was scarce, access

OpenClaw (aka ClawdBot, aka MoltBot) made a lot of waves in the AI world in the last few weeks. We took the time to try it and indeed found it impressive. Now we want to reflect on whether it is business ready and how it could be seen in the framework of AI-Pathway. What it is For those unfamiliar, OpenClaw is an open-source personal AI agent created by Peter Steinberger. It runs locally on your own hardware, takes full control of a computer account, and makes decisions based

You were hired to do a job. To deliver, to execute, to be reliable and get things done. No one told you that you would also need to explore the unknown and continuously rethink how your work is done. And yet, that is exactly what this moment requires from you. AI is quietly reshaping your tasks, your workflows, and the expectations around your role. The change may not feel dramatic from one day to the next, but it is constant, and constant change eventually transforms everyth

Coding is about to stop being the bottleneck that shapes how organizations work. As vibe coding and agentic AI make software creation radically faster, a deeper issue comes into focus: When building becomes easy, endless internal loops become impossible to justify. Something fundamental is about to break loose in knowledge work, and it is happening faster than most organizations are prepared to acknowledge. Within the next year, coding and data engineering will become dramati

Many AI strategies fail in a very quiet way. There is no clear moment when someone says this did not work. Instead, things simply flatten out. The tools are there, people technically know how to use them, and yet very little actually changes in how the organization thinks, decides, or moves. This usually happens because intelligence is approached through a familiar lens. AI is framed as software, something that can be selected, installed, rolled out, and governed like any oth

Most leadership teams believe they are aligned on AI. In reality, they are often aligned only on the word, not on the meaning. AI triggers different assumptions, expectations, and fears across the leadership table. If those differences stay unspoken, decisions slow down, initiatives fragment, and frustration quietly grows. The good news is that this is a solvable problem, if you are willing to have the right kind of conversation. 1. Different mental models of what AI actually

Your team doesn't struggle with decision-making because you lack intelligence or intent. You struggle because decisions compete with daily work, calendars fill up, information is scattered, and every topic seems to require another meeting. Add internal politics and unclear ownership, and even small decisions start to crawl. This is why decision velocity becomes a strategic advantage. What does decision velocity really mean? Decision velocity is about reducing unnecessary drag

’ll admit it. I’m drowning in new AI models, apps, services, and endless “must-try” tools. Every blog, vlog, TikTok, podcast, and LinkedIn post seems to shout that this  is the next big thing. It’s exciting, yes, but also exhausting. What helped me wasn’t better tools. It was a better filter. I now divide everything I see into two streams: entertaining  and serious . The entertaining stream is full of quirky tools, clever demos, and one-trick ponies. Some are pure hype, some

I don’t have a subscription to The Wall Street Journal . However, sometimes the most interesting AI stories slip through the paywall anyway. This one did. Over the past year, Anthropic and The Wall Street Journal  ran a pair of experiments that sound innocent and funny on the surface: letting AI agents run a vending machine. You know the usual stuff that vending machine operators do Stock items. Set prices. Respond to users. Try to make a profit. Simple, right? It turned out

Co-written with Arthur Prévot "It's very, very difficult — even for people working on the products — to know the difference between what we say in a demo, what's on a road map, and what's actually in production. It's a full-time job just figuring that out."  Quote from a Salesforce employee as reported by Business Insider  reporter Ashley Stewart. The New Gold Rush Every few years, technology rediscovers its own illusion of speed. Today , it’s AI-enabled automations. Tools l

I was traveling to host a workshop by train when I bumped into two of my former partners in the dining car. They told me about their work at Moovy and the sheer velocity AI has brought to their development. Their team ships ideas that would take months in a large organization. They iterate daily, automate everything that slows them down, and treat AI as a native capability instead of a side project. AI-first companies operate like speedboats while established corporations fe

It started at the end of January this year. One careless turn on the ski slopes in the Pyrenees and soon I was staring at an MRI that looked like a storm; a chaotic swirl of bone, fluid, and mystery under my left knee. Out of curiosity, I asked ChatGPT to interpret the image. It tried but the output left me with more questions than answers. The output wasn’t wrong, but it wasn’t helpful either. It told me something was “abnormal,” the kind of half-answer that makes you more a

AI won’t just transform your tools — it will transform your teamwork. The real disruption isn’t in automation or analytics, but in how people think, decide, and connect. As intelligent systems take over the routine, the hidden question for every leader becomes: how will AI reshape your company culture before you even notice it? I was talking recently with two HR officers from different companies. Both had the same quiet concern, not about which AI tools to use, but about how

In early 2025, Deloitte made headlines for the wrong reasons.One of its government-commissioned reports contained fake legal citations and references to academic work that didn’t exist — all generated by AI. The firm had to refund the contract partially. Embarrassing? Absolutely. But more than that, it was a warning. If one of the largest consulting firms in the world can be blindsided by hallucinations, what does that mean for startups, law firms, and corporate legal depart

A short video (and soon, an interactive audio episode) distilled from our book to help leaders move from AI ambition to real results. Leaders don’t fail for lack of AI ambition—they fail at alignment. We’ve been asked by early readers for a quick way to see  what AI Pathway  is about—beyond the table of contents and quotes. So, we used NotebookLM  to generate a concise, book-faithful video preview  from an earlier preorder manuscript. It captures the core ideas: a visual,...

Artificial intelligence will affect some professions more than others. Rather than listing which jobs might disappear, let’s explore why and how AI impacts certain roles—and how you can adapt and stay relevant. In my book Your Business Strategy for the Intangible Future , I predict the world will become increasingly intangible. This means physical processes and ownership of real-world assets are already overshadowed by the value of knowledge, expertise, emotions, brands, data

Originally published on Linkedin here . Hey there, Product Managers! Let’s talk about the one thing that’s reshaping our world faster than we can say “MVP”—AI.  As someone who’s had the privilege of leading product management for giants like Google, JPMorgan Chase, and Credit Suisse, as well as steering agile and AI-enabled strategies for startups and enterprises across 4 continents, I’ve seen one thing repeatedly:  the best product managers aren’t just adapting; they’re sett

Many novice ChatGPT users have experienced this: You provide simple instructions, and the AI generates generic content that feels uninspired. The typical reaction? “This is just junk! I don’t get the hype.” Having used ChatGPT extensively for writing opinion pieces, books, manuals, and blog posts, I’ve learned one crucial lesson: write more to get better results. ChatGPT isn’t a magical tool that reads your mind and extracts your insights. You need to articulate those yoursel

The fear of AI stealing jobs often comes with dramatic headlines, but the reality is more nuanced. When we think about the complexity of our work, its quirks, and ad-hoc decisions, it’s hard to imagine a machine taking over entirely. And in many ways, we’re right—AI likely won’t do all  of it. But it absolutely will take some of it. Take the example of a highly skilled surgeon performing complex cancer operations. AI won’t replace her. But it will  reshape her role and the sy