McKinsey & Company · 29 Sep, 00:00 · Technology briefing

Workforce in motion: Skills and pathways to future jobs in the United States

McKinsey & Company’s latest report, Workforce in motion, analyses evolving skills requirements and career pathways across the United States labour market.

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

McKinsey & Company’s latest report, Workforce in motion, analyses evolving skills requirements and career pathways across the United States labour market. It identifies critical competencies needed for future roles, highlighting significant shifts in demand for digital, analytical, and adaptive skills. The study provides data-driven insights into how professionals can navigate these transitions, emphasising the necessity of continuous learning and strategic upskilling to remain competitive. This factual overview outlines the structural changes in employment opportunities, offering a clear picture of where the workforce is heading and which capabilities will define professional success in the coming years.

Employer demand for Data Science skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.4x20212x20222.9x20234.1x20245.9x20258.4x202611.3x
Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

You must treat adaptability as your primary professional asset. This report signals that static skill sets will quickly become liabilities. Prioritise data literacy and digital fluency, as these capabilities underpin most emerging roles. If you are in a traditional sector, examine how technology integrates with your core functions; hybrid skills now command premium value. Do not wait for your employer to facilitate this transition. Proactively audit your current competencies against the report’s findings. Identify gaps in analytical thinking or technological proficiency and address them through targeted learning. Focus on acquiring transferable skills that enhance your mobility across industries. Your next career move should leverage these high-demand capabilities, positioning you not just as a specialist, but as a versatile problem-solver capable of navigating complex, evolving business environments with confidence.

For this story, the fields that convert it into pay are Data Science, Artificial Intelligence, Business And Management and Innovation — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below
Data Science+27%Artificial Intelligence+22%Business And Management+34%Innovation+18%
Matched to this story

Enrol in these
to benefit.

These programmes position you for exactly this shift — online, self-paced, and finishing with a verifiable certificate you can share the day you pass.

Launch pricing shown against standard certificate value. The fee you see today is the fee you lock in.

This briefing is based on reporting by McKinsey & Company on 29 Sep, 00:00. Read the original coverage →

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