Project OT: Okay, Transformation?
Suddenly everyone is thinking about how organizations will be designed in the future. Almost nobody seems to be thinking about how to get from here to there.
Notes on what AI actually does to organizations, and why most predictions about it are wrong. The capability gap will be structural.
Suddenly everyone is thinking about how organizations will be designed in the future. Almost nobody seems to be thinking about how to get from here to there.
I've tried to keep this summary as brief as possible, and this is a theoretical model, so if anything's not clear here let's discuss in the comments, k?
What can we learn from how people feel about AI output?
Employment can shrink one vacancy at a time.
AI made every task faster, and made the research worse. The workflow (as opposed to the task) determines whether that speed is valuable or problematic.
Company as code; a city is not a computer; AI as cybernetic teammate; a field experiment rewires the org chart; when it starts feeling like a video game
Like a lot of things I write about, this is both a new and wild idea and something that's been around for a long time but hasn't really caught on. It'd be cooler if it did.
The system goes on-line August 4th, 1997. Human decisions are removed from strategic defense. Skynet begins to learn at a geometric rate. It becomes self-aware at 2:14 a.m. Eastern time, August 29th. In a panic, they try to pull the plug.
Don't treat human systems (exclusively) as engineering problems.
It is an article of faith among technologists that artificial intelligence will make workers more productive. A new field experiment suggests it may do something more interesting: make them more social.
More flattening, more information, not a ton of good practice around decision-making.
I solemnly swear that this is not an international relations blog, nor is it an AI blog, but THINGS ARE HAPPENING
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