My father was a consultant; and he always told me that there were two very different types of client: Some clients had a decision they needed to make that raised questions they didn't have the expertise to answer, other clients had a decision they had made for which they wanted additional justification. The former wanted actual analysis both of whether the questions they had were the questions they should have and the answers to the questions they should have. The latter absolutely wanted the performance of analysis, clearly shoddy work or an obviously stacked deck(metaphorical or slide) defeated the point and made the cynicism of what they were doing too overt; but they were not hiring you first and foremost to get them an answer they didn't think they could get themselves.
I am significantly less clear on how much benefit the first class of clients is getting from 'AI', allegedly there are some narrow use cases where performance actually lands in the same ballpark as hype; but the second class of clients could absolutely do as well, or better, in terms of adding prestige and second-opinions-were-obtained cred to whatever decision they already wished to arrive at; given the absolute mania for anything you can call 'AI' in management circles at the moment.
If you are basically calling in McKinsey to add gravitas to your layoffs that seems like business they are either going to lose or have to do at pitifully low margins to keep up with the 'AI' guys; I just don't know what percentage of their business is mostly about adding prestige or letting an outsider be the one you can point to when the axe starts coming down vs. actual analysis where asking the right questions and getting the right answers is important; where AI hype could still make landing gigs harder; but the bot will have to deliver or the pendulum will swing back after a bunch of embarrassing failures.