High-Impact C-Level Executive and Leader Passionate about Strategic Clarity, Simplicity, and Velocity. Geek at heart. Private Pilot. All tweets are my own.
Ask a chat assistant for an article: thirteen rounds.
Ask an agent that runs inside your own files: one prompt.
Everyone has the same models. Nobody has the same space.
https://t.co/C3oH8NwADM
Shopify wiped 10,000 calendar events in a single morning, then told people not to add anything back for two weeks.
The deletion wasn't the interesting half. The add-back was.
https://t.co/l15eTw4YoB
We relocated this work once already. We called it offshoring.
To offshore a job you had to write it down. Written-down work (support, QA, entry-level code) is exactly what AI now runs.
The mistake: automating it in place. The win: redesigning the work.
https://t.co/DRahbPR6KV
Salesforce's Agentforce revenue: +205% YoY. Seat pricing, unchanged. Two meters, one bill. The doom thesis asked if the seat survives. Wrong question. Ask what's acting through it.
https://t.co/5SB9TO3yGQ
Your AI sounds equally sure whether it's right or guessing. Every answer is one draw from a distribution, handed over with the error bars deleted. Re-attaching them is the new job.
https://t.co/ImnqBpEG2D
Ask an agent to price your product, and you get a polished version of what everyone already does. It drifts to the average. When the average answer is free, it's worthless. The edge is the move it can't make: questioning the premise.
https://t.co/gwNvUsDIg9
AI made every component of management work nearly free.
So the value moved to the one thing that didn't get cheaper: the connections between the parts.
That's why seeing the wiring, not the boxes, is suddenly the highest-return skill you own.
https://t.co/9q3zVPkrh8
In 2023, Klarna handed two-thirds of its customer service to AI. "Solved."
By 2025, the CEO admitted: We went too far. Rehiring humans.
Not an AI mistake. A category mistake. A problem has one answer. A tension you hold, not solve.
https://t.co/LTVTI4rclk
"AI killed the entry-level job" has a calendar problem: the slump starts in 2022, capable agentic AI lands in 2025. A cause can't trail its effect by 3 years.
https://t.co/tLGnvtbr1q
A moat isn't a wall. That's the mistake AI is exposing.
Anything static can be cloned in a week. What can't: a loop where workflow earns trust, trust earns proprietary data, and data deepens the workflow.
No leg is the moat. The delay between them is.
https://t.co/qUcnEvFFGB
Ten years ago, streaming a movie over Starlink at 30,000 feet sounded like sci-fi. Now it's a Tuesday.
We always underestimate the next decade. We're doing it again with AI.
https://t.co/5j4AiHB1y0
April: Uber's CTO blew his 2026 AI budget.
May: the CEO said he was metering headcount and leaning further in.
Two weeks later: the COO asked whether any of it produced value.
Three quotes. One missing P&L line.
https://t.co/Q6Im9o3VGe
For five years we argued remote vs in-office. The argument is over. The 2026 constraint is when your AI usage window resets, not where you sit. Three daytime windows, one overnight automation slot. New piece on what that actually looks like: https://t.co/sJ24OeOIP2
Grammarly is hygiene. ChatGPT is suspicious. The line was never in the tool.
A short piece on what acceptable AI use in writing actually looks like, and the three questions I run every published piece through before it goes out. https://t.co/Ayyw6AjdBx
"Taking a new challenge is a lot like riding a horse. If you are comfortable, you are probably doing it wrong!" Ted Lasso (S1E1) #changemanagement#learning#development
Established orgs often slow down their decision-making process significantly compared to Startups. Yet the lean startup methodology enables businesses of any size to accelerate the learning process and deliver products and services that delight customers - https://t.co/PtLamtGjd2
Here is an insightful weekend listen about the Art world - this FT News Briefing podcast episode looks at "What Warhol’s Marilyn tells us about the art market" https://t.co/ORdSWknyvy #art#market#podcast#insights
In this latest CC:World podcast episode, I look at how a mature organization can be successful at disruptive innovation when everything they do is focused on incremental product improvements. Check it out at https://t.co/1tQn2ZfhWC and let me know what else you would recommend.
While startups are designed to bring version 1 products to market, that skill set can be challenging for more mature organizations. I looks at a model that mature organizations can leverage to combine the best of both worlds and re-ignite growth. https://t.co/0SVmOECKZ5