Because AGI-level systems can generate persuasive, high-stakes recommendations, the failure mode isn’t “lack of ideas” — it’s leaders accepting outputs without demanding evidence or defining accountability.
Without decision rights, proof standards, and escalation rules, executives silently delegate judgment to a black box, which amplifies bias, misalignment, and “confident wrong” outcomes.
Answer C forces the program to shift from “using AI” to “governing AI in real decisions” — the only way to scale impact without losing control.
Your program may be producing leaders who sound confident while outsourcing their judgment to systems they can’t explain.
If capability accelerates faster than understanding, the differentiator becomes governance of decisions, not personal brilliance. In an AGI race, the real leadership gap is: who owns the risk, what counts as evidence, and how power gets concentrated (or redistributed).