Source page: McKinsey & Company

Commentary

Visual form

Bubble scatter plot.

Layout / body structure

It is a single quadrant chart read first by position in the four-part field and then by bubble size, with quadrant callouts inside the plot and a bubble-size key at the right.

What is being compared

It compares occupation groups by estimated change in labor demand on the vertical axis and generative-AI-driven acceleration of automation adoption on the horizontal axis.

Measurement system

The vertical scale tracks percent change in labor demand, the horizontal scale tracks percentage-point change in automation adoption, and bubble size represents employment in millions.

Visible structure inside the graphic

The plot uses quadrant labels, bubble markers, axis titles, and a size legend, so the reader can separate growing-demand occupations from shrinking-demand occupations while also seeing how large each employment pool is.

Main takeaway from the visual

The chart shows that job growth and higher automation exposure can coexist in some fields, while other occupations sit in the declining-demand half of the plot and face a more difficult transition.

Key standout values or extremes

The visible field stretches from negative labor-demand territory to growth above 20 percent, and the size key highlights that the redistribution is happening across employment pools measured in the millions.

Controls / sequence, when applicable

This is a static chart image with no in-chart controls to operate.

Companion media, when applicable

There is no separate companion audio or video; the chart image is the full visual on this page.


The future of work in America

Artificial Intelligence | Jobs | North America

August 24, 2023All this week, our daily charts will focus on one of the hottest topics in business: AI. We’ll take a closer look at the technology’s implications for growth, industries, the workforce, and more.

The US labor market has gone through a rapid transition—which should only continue, when factoring in the impact of AI. Going forward, healthcare and STEM fields could see significant job gains by 2030, according to Kweilin Ellingrud, a McKinsey Global Institute director, and coauthors. Occupational categories facing the biggest potential job losses include office support, customer service, and food services. We estimate that demand for clerks could decrease by 1.6 million jobs.

While STEM, healthcare, builders, and professional fields continue to add jobs, generative AI could change work activities significantly for many occupations.

To read the report, see “Generative AI and the future of work in America,” July 26, 2023.


customizer here