Consultants and tech firms often define human roles by their most basic function (e.g., a doorman just opens doors). Automating this function saves costs but destroys the immense, unquantified value created through tacit human skills like security, guest recognition, and providing status.

Coordination work does not disappear when roles like project coordinators or scrum masters are eliminated. Instead, a 'coordination vacuum' is created where essential tasks are either dropped or haphazardly absorbed by unprepared team members, leading to widespread inefficiency and chaos.

When companies announce layoffs while citing AI efficiency, it's often a convenient narrative to obscure other issues. The more likely culprits are poor business performance, excessive bloat from over-hiring, or a difficult but necessary strategic pivot unrelated to AI's direct impact on roles.

The crucial coordination and support tasks that act as "glue" for a team are often deemed non-promotable. Companies systematically reward individuals for visible, feature-focused work while overlooking those whose collaborative efforts enable overall team success.

While AI can automate administrative tasks like reporting and ticket updates, it cannot replicate the core human elements of a facilitator's job. It fails at building relationships, negotiating with other teams, and making nuanced judgment calls to resolve impediments.

When executives push broad, substance-less ideas like "add AI" or "users want personalization," it's often a setup. If the project fails, the idea is deemed great while the team's execution is blamed, despite the original directive being meaningless or misguided.

A leader's role is to teach their team, not just provide answers. Even if you can build a solution faster (like an AI agent), doing it for your team deprives them of a critical learning opportunity. The best approach is demonstrating what's possible, then empowering them to build it themselves.

AI adoption stalls from the top because CEOs don't have automatable "tasks"; they have people who do tasks for them. Lacking hands-on use, they fail to see AI's value as a strategic "thought partner." To lead effectively, executives must personally engage with these tools for brainstorming and decision-making.

Companies are 'unanimously ignoring' AI preparedness for their workforce. This paralysis stems from leadership's fear and uncertainty over whether employees are assets to be upskilled for AI-driven success or liabilities to be made redundant by automation.