Take a look below at the two research papers, one from MIT and the other from BCG. Both texts converge on the same wall: in 2026, trust becomes the scaling constraint — and hallucinations shift from a tolerable annoyance to a failure condition in real workflows and decisions. (A hallucination is when AI produces an answer that looks credible but is false (or unverifiable), because it “generates” instead of “knowing”.)
BCG is explicit: the biggest barrier isn’t the tech, it’s trust, and that requires guardrails and “graduated autonomy,” not vibes-and-judgment.
So if your program implicitly trains leaders to “work around” hallucinations, you’re preparing them to sabotage adoption at scale the moment agents touch execution.
If 2026 is the year of agents and AI-driven execution, the executive skill gap is no longer “Can you use GenAI?” It’s “Can you design trustable, decision-grade workflows where AI participates without quietly corrupting outcomes?”