When everyone has AI and the company still learns nothing
robert-glaser.de
When everyone has AI and the company still learns nothing
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Re: When everyone has AI and the company still learns nothing
#2Re: When everyone has AI and the company still learns nothing
#3The CEO has a youtube style platinum token plaque for their office.
Re: When everyone has AI and the company still learns nothing
#4Re: When everyone has AI and the company still learns nothing
#5Re: When everyone has AI and the company still learns nothing
#6My company set up a “prompt of the week” award and brown-bag sessions to help spread adoption. We also have teams meant to develop these workflows. Clearly, they set these events up to play it off as their own productivity. Without a real (read “monetary”) incentive or job security, the risk and cost of spreading the knowledge falls squarely on the developer.
Re: When everyone has AI and the company still learns nothing
#7Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc.
AI makes these post-development bottlenecks worse. Changes are now piling up at the door waiting to get on a release train.
Large enterprises need to learn how to ship software faster if they want to lock in ROI on their token spend. Unshipped code is a liability, not an asset.
Re: When everyone has AI and the company still learns nothing
#8Re: When everyone has AI and the company still learns nothing
#9One more point I noticed: since AI adoption is being promoted by companies, collaboration between developers could suffer. Why wait for a more experienced developer to have the time to explain some aspect of the codebase to you (and at the same time confess your ignorance), when AI can do it right away in a competent-sounding way (and most of the time it will probably be right, too)?
Re: When everyone has AI and the company still learns nothing
#10> I do not want to make this a cost panic story, that would be the least interesting way to think about “rented intelligence”. The question is not how to minimize token spend in the abstract, any more than the question of software delivery was ever how to minimize keystrokes.
If tokens were as cheap as keystrokes -that is, effectively free- then "How do we minimize token spend?" wouldn't be a question that anyone asks. It's because keystrokes are effectively free that you only ask "How do we minimize the number of keys pressed during the software development process?" if you're looking for an entertaining weekend project. If keystrokes cost as much per unit of work done as the -currently heavily subsidized- cost of tokens from OpenAI and Anthropic, you'd see a lot of focus on golfing everything under the sun all the damn time.