
We don't need more founders
Building over founding

Thoughts on "How to Build a Car"
Reading through How to Build a Car, a few product-related themes flow through the entire book: • The constant search for advantages. Poring over the newly released rulebooks to find gaps & technicalities to creatively exploit. Examining other domains for cross-over insights. Every team isn’t just racing on the track, the design/engineering teams are racing each other to identify the smallest of levers before the next team. • The car is a system, not merely an object. The interconnectedness of...

Mercedes & Microsoft
"Let's put that in the parking lot"
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We don't need more founders
Building over founding

Thoughts on "How to Build a Car"
Reading through How to Build a Car, a few product-related themes flow through the entire book: • The constant search for advantages. Poring over the newly released rulebooks to find gaps & technicalities to creatively exploit. Examining other domains for cross-over insights. Every team isn’t just racing on the track, the design/engineering teams are racing each other to identify the smallest of levers before the next team. • The car is a system, not merely an object. The interconnectedness of...

Mercedes & Microsoft
"Let's put that in the parking lot"
Share Dialog
Share Dialog
According to this PwC report, "roughly 40% of the time spent on [emails, meetings and administrative processes] is inefficient."
Sorry, but that's probably not an "efficiency" problem and AI can't likely help much. Some of that inefficiency is necessary for doing the work; which 40% is inefficient largely depends on who’s assessing what. What some seem as waste is really work.
This is organizational overhead. I suspect that AI will, at least in the short-term, create more of this kind of inefficiency: rather than doing “actual” work, employees will dedicate more of their time to the work around the AI doing the work they used to do.
In any case, AI will be an accelerant — in whichever direction you're headed — not a cure.
•••
Also in this report is the admissions that "45% of CEOs believe their company will not be viable in ten years if it stays on its current path."
That's pretty high, right? It's probably true, and it should probably be higher. Several trends converging at once creates an inflection point for almost everyone.
"What to do about it?" is of course the point of the article, but it makes me wonder what each of them believes about their company, industry, and the future for this to be true. If they get that diagnosis wrong, then it almost doesn't matter what they do about it.
According to this PwC report, "roughly 40% of the time spent on [emails, meetings and administrative processes] is inefficient."
Sorry, but that's probably not an "efficiency" problem and AI can't likely help much. Some of that inefficiency is necessary for doing the work; which 40% is inefficient largely depends on who’s assessing what. What some seem as waste is really work.
This is organizational overhead. I suspect that AI will, at least in the short-term, create more of this kind of inefficiency: rather than doing “actual” work, employees will dedicate more of their time to the work around the AI doing the work they used to do.
In any case, AI will be an accelerant — in whichever direction you're headed — not a cure.
•••
Also in this report is the admissions that "45% of CEOs believe their company will not be viable in ten years if it stays on its current path."
That's pretty high, right? It's probably true, and it should probably be higher. Several trends converging at once creates an inflection point for almost everyone.
"What to do about it?" is of course the point of the article, but it makes me wonder what each of them believes about their company, industry, and the future for this to be true. If they get that diagnosis wrong, then it almost doesn't matter what they do about it.
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