The Big Idea

Be patient with productivity

| February 7, 2025

This document is intended for institutional investors and is not subject to all of the independence and disclosure standards applicable to debt research reports prepared for retail investors. This material does not constitute research.

Financial markets have focused on AI for some time and appear to be in a rush to price in an economic transformation that may take decades.  A year ago, many economists took strong productivity growth in 2023 as evidence that the productivity revolution had already started. A year later, the 2024 numbers are in, and they suggest that efficiency gains are still not accelerating meaningfully.

Productivity data

Labor productivity is without question one of the most important underlying elements to any economy. A discernible upturn in productivity in an economy is a winner for everyone.  Workers can earn more because they can create additional output for each hour of labor. Companies are likely to make larger profits.  Government finances are bolstered by the resulting household and business income.

One way to think about the fundamental importance of productivity is to consider how an economy’s potential growth rate is determined. In the long run, real GDP growth for any economy is likely to approximate the sum of the rate of increase in the working-age population and the rate of productivity advances.  An acceleration in trend productivity should translate one-for-one into a faster potential growth rate.  This has immense positive implications for an economy over time.  It raises the pace at which GDP can grow without generating inflation, raising the standard of living of workers.  And in the current instance, it could conceivably help to improve what is currently a frightening fiscal outlook.

It is easy to understand why economists would be eager to herald a productivity acceleration.  Even Fed officials have been approvingly discussing the positive prospects for AI and the possibility of a higher productivity regime going forward.  For example, Boston Fed President Susan Collins noted in a November 20, 2024 speech: “Another positive supply development has been a notable rise in labor productivity…Productivity remains on a higher trend than it was before the pandemic.”

In any case, while productivity is conceptually one of the handful of fundamental building blocks for an economy, in practice the actual measured productivity data leave much to be desired.  As calculated by the Bureau of Labor Statistics, productivity is derived as the difference between output growth—precisely, gross value added of nonfarm businesses—and hours worked. It is a residual.  Accordingly, reported productivity is subject to all of the noise and measurement flaws of both GDP and employment.

Not surprisingly, given this methodology, measured productivity growth is notoriously volatile.  Individual quarterly observations are of little value at all taken out of context.  Even annual gains exhibit tremendous fluctuations. Over the last 20 years, the yearly changes have spanned from 6.5% to -1.9% (Exhibit 1).

Exhibit 1: Q4/Q4 Productivity Growth

Source: BLS.

The fact that the supposed “productivity acceleration” in 2023 followed the worst annual measured performance in decades should have set off alarm bells.  Indeed, productivity growth in 2024 receded to 1.6%.  In any case, teasing out trends in productivity generally requires examining multi-year periods rather than focusing on a single quarterly or even annual reading.

Defining the trend

Given the violent swings in the productivity data, pinning down an underlying trend can be difficult.  Defining the proper time interval to focus on is tricky.  In the modern era, I would argue that there were three key events that potentially shifted the longer-run trend in productivity growth.

First, the technology revolution in the 1990s driven by the widespread adoption of the internet and personal computers pushed the productivity trend higher.  In the 1990s and 2000s, annual productivity growth averaged nearly 2.5%, a sharp acceleration from around 1.5% in the 1980s.

Second, the 2008 Global Financial Crisis led to dislocations in the economy as well as policy changes that favored safety and control over efficiency—for example, much tighter financial regulation.  Productivity gains from 2011 through 2016 averaged a measly 0.8%.  The tone shifted considerably in 2017, with a cut in corporate income and capital gains taxes, sweetened depreciation schedules, and a lighter regulatory burden for a number of sectors of the economy.  Productivity growth picked up to a 1.9% average from 2017 through 2019.  Admittedly, three years’ worth of data are not enough to draw any firm conclusions of the economy’s underlying pace of productivity gains, but that is all we have because the entire economy was disrupted in unprecedented fashion in 2020.

The pandemic, the third major event, threw the economy into chaos in 2020.  GDP growth and employment were out of phase for several years, muddying the waters to the point that it was impossible for several years to say much about the underlying trend of productivity growth.

One approach is to break the economy into decades, which may not be optimal since it does not necessarily line up exactly with shifts in the underlying economy but is certainly simple and uses a sufficiently broad lens to get past the short-term noise in the data.  Average nonfarm business productivity has varied over the last several decades (Exhibit 2).

Exhibit 2: Average nonfarm business productivity growth

Source: BLS.

There are a million ways to slice and dice the data to get a preferred answer, so there is certainly judgment involved.  I would say that the broadest way to think about the pre-pandemic trend would be to look at the average from 2001 through 2019.  This works out to 1.8%.  If you want to narrow the scope and look at the years immediately prior to the pandemic, the three-year average from 2017 through 2019 was 1.9%.

We now have five years’ worth of data since the start of the Covid pandemic.  The average annual productivity increase over that period has been 1.9%, nearly identical to the pace seen over the prior three (and prior 19) years.  My conclusion is that productivity growth has not shifted markedly from the trends of the past 20 to 25 years.

AI and productivity

As I first said last year, I am not an AI-skeptic.  It may very well be that AI is going to offer a scale of efficiency gains that will be sufficient to boost the economy’s trajectory for an extended period of time.  If that happens, however, we will need to be patient. The 1990s “technology revolution” was ongoing for years before there was clear evidence of its impact in the economic and, in particular, productivity data.  In fact, measured productivity only began to seriously accelerate in 1996, years after the technology stock boom began and the year in which Chair Greenspan coined the term “irrational exuberance.”

An AI-driven productivity boom is not implausible.  However, Fed officials would be wise to take a skeptical, or, at least a patient, approach.  Indeed, my best guess is that productivity growth in 2025 will be equal to or lower than 2024’s 1.6%.  An AI “productivity revolution” may well be on the way, but we may need to wait a few years before it becomes evident in the numbers.

Stephen Stanley
stephen.stanley@santander.us
1 (203) 428-2556

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