A reflection on the MIT Sloan article How generative AI can boost highly skilled workers’ productivity.
The organization needs to involve all employees and make sure they are aware of the upper limit of AI, where AI excels and where a human can do better. The article calls this the "jagged technological frontier." When consultants used AI on tasks inside that boundary, their performance improved by nearly 40%, but on tasks outside it their performance dropped by 19 percentage points. So training should start there, because AI has its own limitations and not all tasks can be done efficiently with AI.
It is also important to work on a constant culture of employee feedback, to understand where AI works more efficiently than in other places. Along with that, the organization needs a culture of accountability, should reward peer training, and should encourage role reconfiguration.
From my own work, AI is great at developing test cases for an application, however it needs to have the complete context of the code. When it didn't have that context, it provided wrong answers, and I caught them by reviewing the test cases. So training should cover how to give AI the right context in the prompt, and reviewing what AI produces should be part of the training too, not something left to each employee.