Careful, the underlying report is saying 95% of enterprise AI automation systems are not giving measurable results for AI projects, and:

- does not include individual use of ChatGPT, Claude, etc (called shadow AI economy in the paper)

- in-house AI tools fail 2x more often than external AI solutions

- finance and other backoffice departments are the ones seeing noticeable performance gains with AI use

- lack of AI adaptability, memory and evolution over time is making it hard for humans to adapt to AI when it should be the other way around

- users prefer the chat interface, not your AI-enabled webapp

- 90% of users prefer humans (duh) for mission-critical work

The report does not include the companys who are loosing money due to AI, or the costs that are bieng transfered onto the general public via higher powerbills and such.and then unproven adoption by government, and the comming bursting bubble. A full forensic financial analyis will amost certainly reveal significant losses overall, with a few nitche areas that are truely successfully benifiting. Focus on the latter, NOW, might be a good move for those in the game.