Please Stop Turning Every New AI Model Release Into Ragebait
New AI models can expand what is technically possible. But real organisational transformation still depends on successful integration, reliable outputs and process knowledge.
Please stop turning every new AI model release into the same ragebait:
“This AI will kill the finance industry.”
“This AI just killed another AI model.”
“This changes everything.”
My feed is full of these posts whenever a new model is released. They always sound the same, and honestly, I can no longer read them.
Do not get me wrong. I am a huge fan of AI. I see its potential and understand the vision. But anyone who has ever tried to use AI for a complex task inside a real organisation knows that the reality is not that simple.
A business process is not one prompt. It includes exceptions, dependencies between different teams and systems, data issues, quality requirements and people who need to trust the result. The output may look impressive in a demo but still not be the output the organisation actually needs.
Even with a better model, someone still has to understand the process, integrate the AI into the workflow, test the results and keep adjusting the system until it works reliably. And when the process, data or requirements change, the solution needs to be evaluated and adapted again.
That is a lot of work. And that is exactly what most of these “AI killed X” posts ignore.
The main problem is usually not a lack of AI models or ideas. The difficult part is the implementation: getting AI to produce the right output consistently and making it work within all the realities of an organisation.
AI will automate tasks. It will change professions and allow companies to improve processes in ways that were not possible before. But a new model release does not automatically eliminate an entire industry or make everyone working in it useless.
Instead of spreading fear with the next “AI killed X” headline, show us what the model actually does better. Show us a real use case. Explain which process it improved, where its limitations are and what was required to make it work.
That would be far more valuable than another AI Armageddon post.
A new model may improve what is technically possible.
But it still does not implement itself.