AI Engineering: Inclusive or Exclusive?

In the past, data teams and other jobs dealing with data, we're still pretty much in the wild west, meaning all of it is new territory & is yet to be explored. Certain best practices have been uncovered in recent times, but for the most part, there's not any one proven method to follow and the fact that the job titles of data professionals' (and the roles they play) differ widely is another evidence of this. One of the forks in the path for the future of how data teams will evolve, roles in data, and even the field of artificial intelligence (AI) in general is how AI ought to be inclusive (that includes the various types of people with different roles, working together towards an end objective) as well as exclusive (siloed to particular and specific teams in order to get the job accomplished more precisely and effectively). Which direction AI veers will be able to alter the core structure of companies and even individual career paths. So, what is the future -- inclusive or exclusive?