alt Hacker NewsI think most people in the tech sector and especially driving the AI hype have absolutely no clue how difficult it is to implement change in complex organisations. There are a bunch of technical reasons but half the reasons are not even technical - social, legal, etc. You have to shift the practices of humans and they have incredible inertia. Like decade level change response period. And during the change period they are less productive. Expect a decade type period before "productivity" impact manifests and even then it won't really be measurable directly because people will be doing different things.
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> I think most people in the tech sector and especially driving the AI hype have absolutely no clue how difficult it is to implement change in complex organisations.
Simple organizations too, and sometimes especially so. The amount of unrealized productivity many small business stand to gain just by adopting simple automations that computers have been able to perform for decades may be as large as (or larger than) the productivity gains ML model and agent adoption enables. And that adoption may just be enabling someone who never wanted to learn Excel macros or regular expressions to command an agent to go do those things which have been possible yet unrealized in a particular small business for decades.
The problem has largely been (and remains) humans set in their ways, of the sort who stopped reading books or seeking any new knowledge whatsoever the moment their mandated or socially expected schooling was complete. Incurious midwits are definitionally the bulk of any workforce, and getting them to change any process is like pulling teeth whether they're working in a small business or a megacorporation. Change often doesn't come until the midwit on some particular throne retires, quits, or is laid off.
Especially people who are attracted to startups are the people who don't want to deal with steering a giant company in a new direction.