Recent studies show we can get better results by using generative AI. But to get them at scale, our organizations would have to change, and that's slow and difficult. genAI itself may change all that.
Interesting study and a thought provoking perspective. Earlier adoption of new tech can give a valuable edge, but I think the idea of not rushing / implementing at a slower pace honestly gives companies permission to take their time and dabble instead of jumping on the latest product and spending tens of thousands on consultants to integrate it.
Especially when the techniques for integrating the technology are still being figured out. Two posts ago I talked a bit about how we just don't collect data on - or tell stories about - the organizations that "went early" and paid a deep price for it: https://www.wildworldofwork.org/p/take-a-deep-breath-no-need-to-rush
This is a *great* post. When ChatGPT was first released in November 2022 I saw assorted VCs and other 'thought leaders' across the technology industry assert that it was going to put virtually all white collar employees out of a job within a year. None of these people, of course, had any experience working in mainstream trad corps, which is to say, companies akin to the airlines to which you repeatedly refer in this post. LLMs are extraordinarily powerful technology, and they will no doubt completely restructure companies' operations, but as you point out, that will take significantly longer than many pundits predict.
Wow, Dave, I'm delighted to hear it. Thanks for sharing. (Tragically) Funny how handling money and risk all the time gets you out of tune with real work and real organizations.
And yeah, organizations are designed to deliver reliable results in dynamic environments, which means some aspects of them have to be pretty hard to change. Brand's work on buildings inspired key parts of my thinking here, but he draws on theories that came out of ecology.
Interesting study and a thought provoking perspective. Earlier adoption of new tech can give a valuable edge, but I think the idea of not rushing / implementing at a slower pace honestly gives companies permission to take their time and dabble instead of jumping on the latest product and spending tens of thousands on consultants to integrate it.
Especially when the techniques for integrating the technology are still being figured out. Two posts ago I talked a bit about how we just don't collect data on - or tell stories about - the organizations that "went early" and paid a deep price for it: https://www.wildworldofwork.org/p/take-a-deep-breath-no-need-to-rush
This is a *great* post. When ChatGPT was first released in November 2022 I saw assorted VCs and other 'thought leaders' across the technology industry assert that it was going to put virtually all white collar employees out of a job within a year. None of these people, of course, had any experience working in mainstream trad corps, which is to say, companies akin to the airlines to which you repeatedly refer in this post. LLMs are extraordinarily powerful technology, and they will no doubt completely restructure companies' operations, but as you point out, that will take significantly longer than many pundits predict.
Wow, Dave, I'm delighted to hear it. Thanks for sharing. (Tragically) Funny how handling money and risk all the time gets you out of tune with real work and real organizations.
And yeah, organizations are designed to deliver reliable results in dynamic environments, which means some aspects of them have to be pretty hard to change. Brand's work on buildings inspired key parts of my thinking here, but he draws on theories that came out of ecology.