American companies are under pressure to accelerate AI adoption, but the gap between urgency and execution is still wide. In a recent survey, AI ranked as the top issue on public company board agendas for 65% of public company directors.
At the same time, only 22% of S&P 500 companies and 6% of the Russell 3000 disclosed board oversight of AI. Just 29% of leaders say they have the right expertise on their boards to advise on AI implementation. That leaves a major part of the American corporate world trying to make decisions on one of the defining issues of the era without the depth of oversight it says it needs.
Ryan McManus, who is president of the National Association of Corporate Directors New York chapter and founder and CEO of techtonic.io, argues that the problem is not just caution. He says some of corporate America's slowness comes from a small talent pool, and some comes from self-protection. But he warns that competitors will not wait.
McManus points to Ford as an example of what can go wrong when companies move too fast without enough human judgment. Ford leaned hard into AI for vehicle quality, installing 900 AI-assisted inspection cameras and automated quality systems meant to replace veteran engineers. Those systems failed to live up to the hype, and Ford's VP of vehicle hardware engineering said, 'mistakenly, we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that would produce a high-quality product.'
Ford later rehired veteran safety engineers, and McManus says the technology improved with human input. Ford then returned to the top of the JD Power rankings for vehicle quality and safety. The lesson he draws is simple: strategy comes before technology, and the quickest gains are likely to come from making humans more productive and powerful, not from getting rid of them.
The broader fight is not whether AI matters. It clearly does. The issue is whether corporate America will build the expertise, oversight and discipline to use it without wasting capital or falling behind competitors. Without federal regulations setting the guardrails, the boardroom is where the big decisions are being made.
That is where the market has already voted. Companies that recruit better, upskill faster and set clearer structures will be better positioned to capture productivity gains. Those that stay cautious, slow and underprepared risk turning AI from a competitive edge into a costly delay.
