AI Adoption Raises the Cost of Rushed Business Decisions

AI is speeding up decisions about technology, staffing and investment, but the cost of choosing badly can outlast the pressure to act quickly. For business leaders, a short pause to test assumptions may save more time than a fast decision followed by months of correction.

The consequences are already visible in workforce planning. Nearly one-third of U.S. hiring managers at organizations that eliminated roles because of AI say some of those positions were later restored. That figure points to a practical risk: companies can make structural changes before they understand what the technology can do, how work will change or which skills remain necessary.

Boards can add to the pressure. Nearly two-thirds of CEOs say their boards are rushing AI transformation. When leaders feel expected to demonstrate momentum, launching a project can become a proxy for progress. Yet implementation often depends on connected systems, processes, people and information. A decision made quickly in one area can create costs and dependencies elsewhere, and some of those changes may take months or years to unwind.

When speed stops being an advantage

Many executives built their reputations by delivering work and solving problems promptly. That instinct remains useful when a task is familiar and the likely consequences are contained. It becomes less reliable when a choice affects several parts of the organization or carries commitments that are difficult to reverse.

The distinction is not between decisive leadership and reflection. Leaders still need to act. The more useful question is whether the decision is clear enough to make now, or whether a little more information could materially change the choice. That might mean hearing from the teams affected, examining how a change would ripple through existing operations, or checking whether the apparent deadline reflects real business exposure.

Reflection is uncommon even among people whose decisions shape organizations. One study found that only two in five leaders say they reflect weekly. That gap matters when a company is moving quickly: without time to question assumptions, urgency can crowd out the work of deciding which problems deserve attention.

There is a limit, though. Thoughtful review should improve the decision, not become a reason to postpone it indefinitely. Experience can help leaders judge how long a question needs. One useful signal is whether repeated reviews produce new evidence or change the likely answer. If pressure-testing assumptions and considering other paths still lead to the same conclusion, continued discussion may add little.

Make room to assess the real risk

A mentor once asked the article’s author, Jon Kirchner, a former Navy SEAL, a blunt question during a difficult business situation: “Did anybody die?” Nobody had. The point was to separate the emotional intensity of the moment from the actual stakes and risk.

That reset can help a leadership team frame the issue before choosing a response. What happened? How did the organization get here? What else is changing at the same time? Those questions widen the view beyond the immediate demand and can reveal whether the problem calls for a rapid intervention or a more considered decision.

Another tool is inversion, a method associated with investor Charlie Munger. Instead of asking only how a plan might succeed, leaders can ask what would make it fail. Working backward from failure can expose fragile assumptions, missing capabilities or conditions the organization needs to avoid. It doesn’t guarantee a better outcome, but it gives teams a concrete way to pressure-test a proposal.

This kind of thinking needn’t require a formal retreat. Kirchner describes getting useful perspective while driving, walking or standing at a whiteboard at the end of the day. He calls a short, focused break from execution a “thinking espresso shot”: enough distance to look at the issue from above before returning to the work.

For broader questions, his leadership team steps away from daily operations three or four times a year to work on the business rather than simply in it. Kirchner says these sessions have helped the team make faster progress on several core issues, including matters that had occupied it for months. The practical value is not time spent thinking for its own sake; it’s a chance to interrupt familiar routines and reconsider where effort should go.

Reflection can support organizational adaptability

The case for reflection extends beyond individual choices. McKinsey research found that 30% of the most reflective leaders reported their organizations could adapt quickly to changing conditions, compared with 17% of the least reflective leaders. The findings show an association, not proof that reflection alone causes adaptability. Still, they suggest that leaders who make time to examine decisions may be better positioned to adjust when circumstances shift.

There’s also an operating cost to repeated reversals. A team can move quickly at the start and still take longer to reach its goal if it must repeatedly retrace its steps. A brief review of the route may prevent avoidable changes later, especially when a choice affects staffing, systems or investment across the business.

Reflection can help leaders distinguish busy work from high-impact priorities. The source article argues that a relatively small share of decisions and priorities drives a disproportionate share of results. Stepping back gives executives a chance to identify that narrow set of issues instead of treating every demand as equally urgent.

AI makes judgment more valuable

As more companies gain access to similar AI tools and agents, access alone may become a less durable source of distinction. The harder questions are where the tools belong, which problems warrant their use and when their output can be trusted. Those calls depend on judgment and creative intelligence—capabilities that grow more valuable as the pace of execution increases.

The business case for slowing down is therefore practical. A pause can surface risk, expose weak assumptions and clarify priorities before a company commits resources. It should end with a decision or a specific next step, not an open-ended delay. As AI accelerates execution, the advantage may come from choosing the right direction early enough to avoid spending the next several months correcting course.