Technology

Unfortunately, it'll likely go worse for the developers. From my connections, I've heard most AI adoptions go something like this:

• Company fires large amount of developers to "save cost" and encourrage the current developers to use the AI.
• The remaining developers are somewhat enthusiastic about using the AI, they spend extra time to try to learn it.
• The promise of AI slowly falls apart. Great at regenerating a copyright-washed GPL code, which would have created problems with licensing, otherwise is a barely usable garbage that has issues with following instructions. Usage starts to fall.
• The developers that stop using it receive some form of disciplinary action for not using up their token quota management thought would be a target use. Even less developers are working on the thing.
• The remaining skeleton crew writes python scripts to consume the LLM tokens once the novelty of Medieval English documentation wears off, also people now working overtime and multiple jobs (e.g. graphic design) to make up for the lost manpower, many delete their social media apps as the product they make is so garbage now they have to deal with constant death threats.
• The company loses revenue, tries to blame millenial trends in internal communications. Sometimes they realize the crap they did, then make a dev team in India or similar country with cheap intellectual labor.