The most durable thing in your software isn’t in the code.
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.”Where you work stopped mattering. When your AI resets started.
The remote-versus-office debate has aged out; now, shifts run on an AI token clock you do not control.
Your AI tool reset now shapes your calendar. Claude meters in 5-hour windows, ChatGPT in 3. A heavy user on a Max plan can use an entire window in an hour, then wait four. This pacing splits your day into four shifts, making your meeting culture count against subscription tokens. Below is a proposed schedule for a modern knowledge worker, with three actions to try this week.
Continue reading “Where you work stopped mattering. When your AI resets started.”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.”AI SaaS Pricing: How to Profit When Every Prompt Has a Real Cost
In SaaS, variable costs are familiar. AWS and Azure bills rise and fall with traffic, storage, and bandwidth, but you can usually forecast them and smooth them with commitments.
AI flips the model because cost is triggered by a mixture of behavior and model choice, not just scale. Each generation can add metered COGS, and multimodal makes the spikes sharper: images, audio transcription, voice output, and video generation can cost orders of magnitude more than a short text reply. Retries, longer outputs, bigger context windows, and tool calls amplify this fast.
Then comes the perception problem. Buyers are trained by ChatGPT and Gemini that AI feels cheap or “free” at the point of use, which anchors expectations. The executive challenge becomes defending value and margin while keeping usage predictable.
Continue reading “AI SaaS Pricing: How to Profit When Every Prompt Has a Real Cost”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”SEO Alone Is Dead: It’s Time To Embrace AIO
Online marketing is undergoing a dramatic transformation. For over two decades, Search Engine Optimization (SEO) and the tyranny of being “above the fold” have been the cornerstone of online visibility. Then came the viral power of social media optimization (SMO), focusing on “sharability”. The rules of the game are changing once more: AI assistants like ChatGPT, Perplexity, and even Google now directly answer millions of queries, often without redirecting users to your content! This article outlines the history, best practices, and future strategies to ensure your brand remains visible, whether in search results, social feeds, or AI-generated answers.
Continue reading “SEO Alone Is Dead: It’s Time To Embrace AIO”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?”Seeing the Forest and the Trees: Why Leaders Need a Systems Mindset
Leading a business is like running a control center. Every switch, gauge, and flashing red light represents decisions, external forces, and a network of human relationships. It’s tempting to jump from crisis to crisis, putting out fires. But without stepping back to see the whole system, leaders risk missing the bigger picture. Problems persist, and root causes remain untouched.
Systems thinking shifts focus from firefighting to foresight. It reveals hidden bottlenecks, delays, and inefficiencies. It helps leaders make smarter decisions by understanding how changes ripple across an organization.
My introduction to systems thinking came when I decided to attend an elective course at university. What I learned about seeing the bigger picture and inter-connectedness has shaped my thinking ever since. This mindset has helped me always consider how decisions ripple through organizations over time.
Continue reading “Seeing the Forest and the Trees: Why Leaders Need a Systems Mindset”