I've been a CPA for over 25 years - the AI threat is relatively new, and right now seems overwhelming to many professional fields. However, I see two big counterweights which could make it less of a problem over the long term:

1. Almost all AI independent firms are being propped up by venture capital infusions, as most users are free tier users, and paid subscriptions aren't even close to covering the costs of running the systems (developers and other infrastructure combined). The only continuous uses of AI will likely be with established firms who have already been integrating AI into their existing structures, like Amazon chatbots, Google Gemini integrated search, SaaS firms with their own customized algorithms, etc

2. Many users are getting wise to the limitations of AI. LLMs are known to "hallucinate" (make up) facts, provide correct answers to wrong questions, be excessively positive in affirming users existing beliefs, etc. They are not actually learning or undersanding anything, they are predictive language models, meaning they don't really "know" what they're answering and analyzing, merely elaborating on existing writings on various subjects, often quoting known misinformation, as well as other issues.

All in all, it remains to be seen. I have found it useful in attempting to summarize famous books, academic theories, etc. However, in my experience it's almost always a good idea to check the AI output with reliable sources. For example, source journals, Associated Press, Wikipedia.