American businesses are getting more output from nearly the same amount of labor.
That sounds like the sort of development that should make everyone happy.
Employers get better productivity. Economists get encouraging charts. CFOs get another reason to revisit their margin assumptions.
And workers?
Well, that’s where the numbers get interesting.
On November 5, the Bureau of Labor Statistics reported that U.S. nonfarm business productivity increased at a 3.6% annualized rate during the third quarter of 2026.
Output increased 3.7%. Hours worked increased just 0.1%.
Meanwhile, unit labor costs fell at a 0.7% annualized rate.
The economy produced more without requiring a comparable increase in labor hours. Businesses, collectively, needed less labor input per unit of output.
But buried in the same BLS productivity report was another figure worth examining.
Labor’s share of output fell to 53.0%, the lowest reading in a series dating back to 1947.
Productivity is improving.
The distribution of the resulting economic value deserves a closer look.
The Numbers Are Better Than the Headlines Suggest
A 3.6% annualized productivity increase is a meaningful quarterly result.
And it wasn’t entirely isolated.
Second-quarter productivity growth was revised upward from 1.4% to 2.1%.
Over the past four quarters, productivity increased 2.1%.
Those are different measurements, and the distinction matters. The 3.6% figure describes the third quarter’s pace expressed at an annual rate. It does not mean productivity increased 3.6% over the preceding year.
Still, the broader trend is encouraging.
Since the fourth quarter of 2019, nonfarm business productivity has grown at an average annualized rate of 2.2%, compared with 1.5% during the preceding business cycle.
That improvement matters for the long-term economics of American businesses.
A company that can produce more output with the same labor input has additional economic capacity.
It may be able to serve more customers, reduce unit costs, absorb compensation increases, or improve operating margins.
Possibly several of those things.
But productivity gains don’t automatically produce all of those benefits simultaneously.
And this is where corporate financial planning can get a little enthusiastic.
The 53% Number Is Hard to Ignore
The most revealing number in Thursday’s report may be the one that received less attention.
Labor’s share of output was 53.0% in the third quarter.
That’s the lowest level in the BLS series, which begins in 1947.
The measure reflects the portion of output attributable to labor compensation. It is not the same as the percentage of corporate revenue paid in wages, and it should not be treated as a direct measure of corporate profit margins.
But it does tell us something about the relationship between compensation and production.
Workers are producing more output per hour, while labor compensation accounts for a historically small share of that output.
To be clear, compensation is still increasing.
Real hourly compensation rose at a 1.1% annualized rate during the third quarter and was 1.0% higher than a year earlier.
So the data do not establish that workers received no benefit from productivity improvements.
They establish that the aggregate labor share has declined to a historic low.
The distinction is important.
A lower labor share can reflect several economic forces, including changes in industry composition, capital intensity, compensation, and the distribution of income between labor and other production factors.
The national data alone cannot tell us how much of the change resulted from AI, automation, management decisions, or any particular corporate practice.
Anyone claiming otherwise owes us a considerably more detailed spreadsheet.
The Margin Improvement Isn’t Automatic
For CFOs, the most useful part of the productivity report is the relationship between compensation and output.
Third-quarter hourly compensation increased at a 2.9% annualized rate.
Productivity increased 3.6%.
Because output per hour increased faster than compensation per hour, unit labor costs declined.
That’s the basic economic relationship behind the reported 0.7% annualized decrease.
But there is a catch.
Unit labor costs are not total payroll expense.
A business can increase headcount, pay higher wages, and report a larger payroll expense while reducing the amount of labor required to produce each unit of output.
Consider a hypothetical manufacturer.
Last year, it produced 100,000 units using 50,000 labor hours.
That’s two units per labor hour.
This year, it produces 110,000 units using the same 50,000 hours.
Productivity has increased 10%.
Now assume fully loaded labor cost rises from $30 to $31.50 per hour, a 5% increase.
Total labor expense increases from $1.5 million to $1.575 million.
The company is spending more on labor.
But labor cost per unit declines from $15.00 to approximately $14.32.
That’s a reduction of about 4.5%.
Higher payroll expense and better unit economics can exist at the same time.
This is precisely why forecasting labor as a fixed percentage of revenue can obscure what’s actually happening in an operation.
The useful forecast separates labor rates, hours worked, productive output, and the cost of obtaining that output.
Otherwise, finance may see payroll increase and classify it as margin pressure without recognizing an improvement in operating efficiency.
Or, just as dangerously, assume that higher productivity guarantees better margins.
It doesn’t.
Manufacturing Tells a Very Different Story
The national productivity figure also conceals considerable differences between sectors.
Total manufacturing productivity increased at just a 0.3% annualized rate during the third quarter.
Manufacturing unit labor costs increased 2.7%.
That’s a very different combination from the broader nonfarm business sector.
Within manufacturing, the differences were even more pronounced.
Durable manufacturing productivity increased 2.2%, while nondurable manufacturing productivity declined 1.7%.
For nondurable manufacturers, unit labor costs increased at a 5.0% annualized rate.
Those figures are from the same BLS release.
One national productivity headline. Very different operating conditions.
The sector measures also use some different underlying output methodologies, so they should not be treated as perfectly interchangeable.
But the contrast makes the planning problem obvious.
A food manufacturer and a professional services business should not be applying the same productivity assumption simply because the national average looks encouraging.
Neither should a CFO conclude that labor cost pressure has disappeared because an aggregate economic measure declined for one quarter.
The relevant question is what productivity is doing inside the company’s actual operating model.
And Then There’s the AI Question
Naturally, a productivity report showing stronger output growth invites speculation about artificial intelligence.
Businesses have invested heavily in AI, automation, and software intended to reduce manual work.
Some of those investments may eventually produce measurable improvements in output per hour.
But the November 5 productivity release does not identify how much of the national improvement came from AI.
It would be premature to assign the entire gain to technology investment.
For finance teams evaluating AI projects, that distinction is especially important.
A company may implement an AI tool that reduces the time required to complete a task from ten hours to six.
That’s a 40% reduction in task time.
Impressive.
But it doesn’t establish a 40% improvement in departmental productivity, and it certainly doesn’t establish a 40% reduction in payroll expense.
What happens to the four hours?
If employees use the capacity to complete additional valuable work, the business may generate more output.
If the tool reduces overtime, contractor spending, or future hiring requirements, the company may realize a financial benefit.
If the time simply becomes available without changing output or spending, the immediate P&L benefit may be limited.
The distinction isn’t an argument against AI.
It’s an argument for measuring the economics properly.
Finance should track the actual change in output, labor requirements, costs, and service quality against a credible baseline.
Otherwise, productivity improvements have an unfortunate tendency to appear in the business case long before they appear in the financial statements.
What Should CFOs Put in Their 2027 Forecasts?
The national figures provide a reason to revisit productivity assumptions.
They don’t provide a ready-made percentage to insert into next year’s operating plan.
Start with the activities that consume the most labor.
Determine whether the company has actually increased output per hour, reduced labor requirements per transaction, improved capacity utilization, or changed the mix of work being performed.
Then identify where the economic benefit appears.
Some improvements will reduce variable costs immediately.
Others may increase capacity without reducing fixed expenses.
Still others may require additional capital investment, software spending, maintenance, or employee training before delivering a net benefit.
The forecast should recognize those differences.
For example, a business planning 8% volume growth with 3% additional labor hours is implicitly forecasting an improvement in productivity.
That may be reasonable.
But finance should be able to explain what operational changes make it achievable.
New equipment?
Better scheduling?
Lower rework?
Process automation?
A different product mix?
Or did someone simply decide that payroll growth should be smaller than revenue growth because the EBITDA target needed a little help?
That last one is not technically an operating strategy.
The stronger forecast connects productivity improvements to measurable changes in operating drivers, then translates those changes into financial results.
It should also test what happens if the expected improvement arrives six months late or delivers only half the projected benefit.
Productivity Is Improving. The Financial Benefits Still Need Explaining.
Thursday’s report contains encouraging economic news.
Output is growing faster than labor hours.
Unit labor costs declined during the third quarter.
Productivity growth over the curr