The Most Expensive Way to Save Money
There is a particular kind of announcement that has become familiar in the corporate environment, and it is always delivered with the confident language of discipline and forward thinking. A company reveals that it is reducing its workforce, often by some significant percentage, and frames the decision as a necessary step toward efficiency, agility, and readiness for an AI-enabled future. The market frequently responds well in the moment, the cost base looks leaner on the next earnings call, and leadership is praised for making the hard choices that lesser executives supposedly avoid.
What rarely gets discussed is what happens next, after the financial gain has stabilized and the severance has been paid and the remaining employees have absorbed the work of the people who left. Because the research on this question is remarkably consistent, and it tells a story that runs almost exactly opposite to the conventional wisdom about layoffs as a path to strength.
The Savings That Do Not Materialize: Corporate layoff culture is costing your company
The premise behind most layoffs is straightforward. Cutting people reduces payroll, payroll is a major expense, and therefore cutting people improves the financial position of the company. On a spreadsheet, in the quarter the decision is made, this logic holds. The difficulty is that the spreadsheet captures only the most visible costs and none of the ones that arrive later.
Gartner's research found that within three years, the forecasted savings from layoffs tend to be offset by unforeseen consequences, and that even when a company manages to avoid the worst of the turnover and morale damage, the anticipated cost savings are often lost anyway. The reasons are not mysterious. There is the immediate expense of reorganizing the business around fewer people and paying out severance, the increased reliance on contractors, who tend to cost more than the employees they replace, the remaining employees, who are now carrying heavier workloads and who eventually expect to be compensated for it, and ,when the business cycle turns and the company needs to rehire, it does so at higher rates than it paid the people it let go.
The longer-term picture is even less flattering. Researchers who have studied profitability across decades of corporate downsizing have found that the majority of firms conducting layoffs do not see improved profitability afterward, whether measured by return on assets, return on equity, or return on sales. One researcher who followed companies for as long as nine years after a downsizing event reached a conclusion that should give any leader pause: as a group, the companies that downsized never outperformed the ones that did not.
The New Version of an Old Mistake
What makes this moment different is the story we are now telling ourselves about why the cuts are justified. In previous eras, layoffs were framed as a response to financial distress or declining demand, and the market tended to read them accordingly, as a signal that something was wrong. Today, a new and far more flattering narrative is available. The cuts are not a sign of weakness, the story goes, but a sign of sophistication. We are not struggling. We are simply replacing people with artificial intelligence, because we are forward thinking enough to see where the world is heading.
This framing is seductive precisely because it converts a defensive move into a strategic one, and the market often rewards it as such. But the framing collides with an inconvenient set of findings. A substantial share of companies that have conducted AI-related layoffs already regret them, in many cases because the AI systems they were counting on did not actually work as promised. Research examining these implementations has found that most AI tools fail to contribute meaningfully to profits because they are brittle, poorly integrated with how the work actually happens, and misaligned with the realities of the operation. In other words, companies cut the people first and discovered afterward that the technology could not carry the load alone.
This is the part that should concern any leader considering the same path. When you remove the people, you do not simply remove a cost. You remove the institutional knowledge, the judgment, the relationships, and the hard-won understanding of how things actually work that made the operation function in the first place. These are precisely the things that determine whether an AI implementation succeeds or fails, because the technology does not deploy or maintain or improve itself. It requires capable people who understand the business to make it valuable. Cutting those people to fund the technology is a little like selling the engine to pay for the fuel.
What the Numbers Actually Look Like
Consider what happens when you account for the full picture rather than just the payroll line. Replacing an employee is estimated to cost somewhere between one-half and twice that person's annual salary, once you include recruitment, onboarding, and the lost productivity of the transition period. Up-skilling an existing employee, by contrast, can save somewhere between seventy and ninety percent compared to replacing them, and companies that hire externally rather than developing internally pay an average premium to do it.
So the organization that cuts a thousand people to save their salaries often finds, within a couple of years, that it needs much of that capability back, and that reacquiring it costs far more than it ever saved. It has paid severance to lose knowledge, paid contractors to fill the gap, paid the morale and productivity cost among the survivors, and then paid a premium to rehire the very capability it discarded. The savings were real for one quarter and illusory across any longer horizon.
The Alternative That Compounds
None of this is an argument that organizations should never change their workforce, or that every role must be preserved regardless of need. Businesses evolve, and sometimes that evolution genuinely requires difficult decisions about people. The argument is narrower and, I think, more useful than that. It is that layoffs, and especially layoffs justified by a technology that has not yet proven it can do the work, are far more expensive than they appear, and that the cheaper and more durable path runs in the opposite direction.
When organizations choose to keep their people and invest in helping them work alongside new technology rather than be replaced by it, the economics change entirely. Structured training tends to deliver several times its cost in return. Employees who are developed rather than discarded stay longer, which avoids the enormous expense of turnover. And the institutional knowledge that would have walked out of the door instead remains in the building, available to make the new technology actually work. This path requires more patience and more upfront investment, which is exactly why it is less popular. But patience and upfront investment are the price of anything that compounds, and the evidence suggests this compounds in a way that layoffs never have.
The uncomfortable truth for leaders is that cutting people is the easy decision dressed up as the hard one. It looks like courage and discipline, and it earns applause in the moment. The genuinely hard decision, the one that requires real conviction, is to resist the pressure for a quick and visible cut, to invest in the people you already have, and to build the kind of organization that grows stronger over time rather than one that is perpetually saving its way toward decline.
The question worth asking, before the next round of cuts gets announced as strategy, is a simple one. Are we actually saving money, or are we simply moving the cost somewhere it will not show up until later, and calling that progress?
Comments