Your AI Agent Will Never Question the Premise
When the Parts Got Cheap, the Connections Got Expensive
AI discounted all traditional knowledge work. The value didn’t vanish. It moved to the one place a model still can’t reach, and most leaders aren’t looking there.
AI has made the components of leadership work nearly free: analysis, draft, model, first-pass decision. The value didn’t evaporate. It relocated to the one place a model still can’t reach: the connections between the parts. That shift is why systems thinking, long filed under “nice-to-have,” is now the highest-return skill a leader owns. A nine-second corporate catastrophe this spring shows what it costs to keep watching the parts instead.
This is the second article in a short series on three cognitive lenses for thinking under pressure: tension, connection, and reduction.
Continue reading “When the Parts Got Cheap, the Connections Got Expensive”Your Hardest Problems Aren’t Problems
The ones that keep coming back to the same meeting were never yours to solve. In the age of AI agents, tensions move to the core of the job.
A company handed two-thirds of its customer service to AI, shed the equivalent of 700 support agents, and called it solved. A year later, the CEO said the words every leader dreads: We went too far. It was not an AI mistake. It was a category mistake, the same one that breaks reorgs, rewrites, and roadmaps. Many of your hardest calls were never problems with answers. These were tensions to be managed, and AI agents just turned spotting the difference into a survival skill.
This is the first article in a short series on three cognitive lenses for thinking under pressure: tension, connection, and reduction.
Continue reading “Your Hardest Problems Aren’t Problems”AI Has an Alibi
Everyone blames it for the vanishing entry-level job. The timeline says otherwise.
The entry-level job is disappearing, and the headline has already named the culprit: AI. Here is the problem with the case. The sharp decline set in around late 2022, and AI was nowhere near good enough to replace anyone until late 2025. A cause cannot arrive three years after its effect. So who actually did it? The honest answer is a lineup, and the most interesting suspect never makes the headline: a feedback loop nobody had on a budget line.
Continue reading “AI Has an Alibi”The blank canvas and the seasoned eye.
Ten years ago, streaming a movie over Starlink at 30,000 feet would have sounded like fantasy. We are about to be just as wrong about AI, and the people who get the next decade right will not be the ones you expect.
We are reliably bad at imagining ten years out, and we miss in one direction: we underestimate. AI is the next thing we are underestimating. The instinct in most rooms is that the young will lead and everyone else will catch up. That instinct is wrong twice over, and the answer to why is older than any of the tools.
Continue reading “The blank canvas and the seasoned eye.”Your AI budget is already gone.
Three Uber executives, three different seats, told the same story this spring. The cost category most boards govern quarterly is moving to hourly.
By April, Uber’s CTO had blown the AI budget he set in December. Three weeks later, the CEO said he was metering headcount and leaning further in. Two weeks after that, the COO asked aloud whether any of it was producing value. Three quotes, three seats, one cost category nobody had experience with. Here is why token spend breaks the quarterly cadence finance was built on, and the three questions a board should be asking by the next meeting.
Continue reading “Your AI budget is already gone.”You signed it. You own it. That is the only test that matters.
The argument over what counts as cheating is the wrong argument. Here is the one worth having, and the three questions that settle it.
A friend asked me last week whether it was cheating to have ChatGPT clean up his English before he sent a client memo. He is fluent, not native; the model fixes a stray preposition, tightens a sentence, lifts the register half a notch. He has been doing this for two years. He has never asked the question out loud before.
I asked him whether he uses Grammarly. He laughed. Of course, he uses Grammarly. Everyone uses Grammarly. Grammarly is not cheating; Grammarly is hygiene.
That is the entire debate, in two minutes.
Continue reading “You signed it. You own it. That is the only test that matters.”Going Deep: My Journey from ChatGPT User to AI-First Builder
Like many of you, I started experimenting with ChatGPT out of curiosity.
Initially, it was a helpful assistant, assisting with tasks ranging from writing emails to drafting summaries and even brainstorming ideas for presentations. I got good at writing prompts. I learned to coax better answers by refining my questions, layering context, and iterating until the output was just right.
But here’s what I quickly realized:
Being proficient at using ChatGPT doesn’t mean you understand how large language models (LLMs) and Generative AI (GenAI) really work, nor what they can and can’t do to transform a business.
I’ve had the privilege of leading global teams, driving SaaS transformations, and delivering meaningful outcomes. I’ve seen firsthand how technology waves come and go, from the early days of web software to mobile, cloud, and subscription models, but what’s happening now with AI is fundamentally different. It’s not just a new tool; it’s a new paradigm for how businesses think, operate, and create value.
And so, earlier this year, I made a decision: If I wanted to lead in this new era, I needed to go deep.
Continue reading “Going Deep: My Journey from ChatGPT User to AI-First Builder”GenAI for Business Leaders: Strategic Lever or Cognitive Trap?
Generative AI (GenAI) and large language models (LLMs), such as GPT-4o, have swiftly revolutionized our work dynamics. They have emerged as indispensable business tools, reshaping the modern corporate landscape. These advanced AI systems promise transformative benefits, driving unparalleled productivity, innovation, and profitability. Despite the complex challenges that come with their adoption, companies embracing GenAI are on the brink of a transformative era. The success of this journey hinges on intentional oversight, robust governance frameworks, and a strategic balance between automation and human judgment. How prepared is your organization to harness the full potential of this transformative era?
Continue reading “GenAI for Business Leaders: Strategic Lever or Cognitive Trap?”Are you leading or just reacting? A look at the systems thinking mindset
Most leaders don’t realize they’re stuck in a cycle of reacting to problems instead of solving them at the source. In this episode, we explore Systems Thinking—the mindset that helps leaders break silos, anticipate ripple effects, and make smarter long-term decisions. From the great toilet paper shortage of 2020 🧻 to business strategies that backfire, we’ll dive into why understanding the bigger picture is the key to effective leadership.
📖 Read the written companion to this episode: ccworld.ca/systems
Continue reading “Are you leading or just reacting? A look at the systems thinking mindset”