Explore the future of work in Europe

Technology and structural shifts in the economy are reshaping the workplace and will continue to do so after the COVID-19 crisis abates. What does this look like across Europe today? And what will be the result as these trends continue over the next decade? Explore the data to gain a perspective for the continent as a whole—or go deeper for a close-up view that spans almost 1,100 local labor markets.

How do local labor markets differ across Europe?

Europe is a patchwork of local labor markets with striking variations in sector mix, workforce skills, innovation capabilities, and business dynamism. We used a mathematical clustering technique to group almost 1,100 local economies across Europe into 13 clusters. These clusters fall into three broad categories.

Forty-eight dynamic cities, including Amsterdam, Copenhagen, London, Madrid, Munich, and Paris, are home to 20 percent of Europe’s population. They account for more than half of its high-tech patents, three-quarters of its startups, and 83 percent of its STEM graduates.

By contrast, 438 shrinking regions with 30 percent of the population, mostly in Eastern and Southern Europe, have declining workforces, older populations, and lower educational attainment. The remaining half of Europe’s population lives in a wide range of largely stable economies.

Source: Eurostat, Oxford Economics; McKinsey Global Institute analysis.
Note: This research covers the EU 27 countries, plus Switzerland and the United Kingdom.

What are the recent patterns of job growth across Europe?

Growth has become geographically concentrated in recent years. Since 2007, just 48 dynamic cities have generated 35 percent of Europe’s net job growth, 42 percent of its GDP growth, and 40 percent of its population growth. During the same period, job growth has been modest in stable economies, and stagnant or even negative in shrinking regions.

Before the coronavirus pandemic, employment rates rose in 85 percent of local economies across the continent as the workforce shrank.

Disparities between clusters are widening, with just 48 dynamic growth hubs generating more than one-third of Europe’s job growth since 2007.

tableCreated with Sketch.12-15 p.p27(30 percent of population)Shrinkingregions53+1 p.p52(50 percent of population)Stableeconomies35+14 p.p21(20 percent of population)Dynamic growth hubsgrowth, 2007-18, %Share of positive jobemployment, 2018, %Share of total
Source: Eurostat, Oxford Economics; McKinsey Global Institute analysis
Note: This research covers the EU 27 countries, plus Switzerland and the United Kingdom.

How will European workers be affected by automation?

More than half of Europe’s workforce can expect signicant change.

Work activities equivalent to about 53 million jobs could potentially be displaced by automation. There is some overlap between these jobs at risk from automation and those at risk in the short term from the impact of the COVID-19 crisis.

Many of the largest occupational categories in Europe today have the highest potential for displacement. About 21 million workers, most of whom lack tertiary education, may need to change occupations by 2030.

At the same time, we see a continuing rise in demand for workers in technology, science, and engineering fields as well as business and legal professionals. Human workers will also increasingly concentrate in roles that require personal interaction, caregiving, teaching and training, and managing others—activities for which machines are not good substitutes.

Millions of Europeans will need to transition from declining to growing occupations.

Total gross jobs change by 2030 (summing all regions), changing ISCO2 occupation groups only, millions

Share of workers without tertiary education, %
≥90
60 to 90
30 to 60
≤30
Growing
Declining
tableCreated with Sketch.4.01Jobs that do not yet exist3.1Business and administration professionals2.6Science and engineering professionals2.4Personal care workers1.9Legal, social and cultural professionals1.5Teaching professionals1.5Health professionals1.3Information and communications technologyprofessionals 1.3Health associate professionals1.1Business and administration associateprofessionals0.8Production and specialized services managers0.8Cleaners and helpers0.7Administrative and commercial managers0.7Science and engineering associate professionals0.5Sales workers0.5Personal service workers0.5Hospitality, retail and other services managers0.4Legal, social, cultural and related associateprofessionals
Share of workers without tertiary education, %
≥90
60 to 90
30 to 60
≤30
Source: Eurostat, Oxford Economics; McKinsey Global Institute analysis.
Note: This research covers the EU 27 countries, plus Switzerland and the United Kingdom.
1.- Jobs that do not yet exist, often created as a result of new technology (e.g., AI ethicists), education unknown.
Note: Projections for the EU-27 countries plus the United Kingdom and Switzerland; Analysis of long-term labor market trends and impact of automation was conducted before COVID-19 pandemic. Displacement due to automation and net job growth figures were estimated based on midpoint automation scenario. For discussion of the assumptions, sensitivities, and limitations of our automation scenarios, see A future that works: Automation, employment, and productivity, McKinsey Global Institute, January 2017.

How might Europe’s geography of job growth evolve by 2030?

Automation could intensify regional concentration in the years to come.

The 48 dynamic cities that outperformed in the past decade could capture more than 50 percent of Europe’s potential job growth in the next.

Meanwhile, stable economies should continue to add jobs at a modest pace, just as they did in the past decade. Within the shrinking regions category, the outcomes could range from small increases to negative growth. Around 40 percent of Europe’s population lives in regions that could have fewer jobs in 2030 than they do today in absolute terms. However, even places facing job losses will need to boost employment to compensate as aging and outmigration shrink the working-age population.

Potential net job growth by 2030 in midpoint automation scenario, %

Group 2Created with Sketch.-15% or less-15 to -10%-10 to 5%-5 to 0%0 to 5%5 to 10%10% or more
Source: McKinsey Global Institute analysis.
Note: This research covers the EU 27 countries, plus Switzerland and the United Kingdom.
Note: Projections for the EU-27 countries plus the United Kingdom and Switzerland; Analysis of long-term labor market trends and impact of automation was conducted before COVID-19 pandemic. Displacement due to automation and net job growth figures were estimated based on midpoint automation scenario. For discussion of the assumptions, sensitivities, and limitations of our automation scenarios, see A future that works: Automation, employment, and productivity, McKinsey Global Institute, January 2017.

What are the priorities for employers?

Employers will need to make adept decisions about strategy, skills, and social responsibility. Companies may need to respond as consumer purchasing power shifts. To address the need for new types of skills, they may need to change recruiting processes, establish learning programs, and redesign organizational structures. Their choices have to reflect the skills, occupational mix, and geographic footprint of their workforces today. A retail chain with a distributed customer-facing workforce, for example, faces different questions than a geographically concentrated tech firm. Employers will also need to consider how their workforce decisions affect the communities in which they operate.

Based on the characteristics of their workforces, most European employers fit into nine categories, with different challenges and choices.

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GroupCreated with Sketch.Rethinking location and talent strategy based on cost.Attracting and retaining top talent and continuous learning.Highly skilled and highly paid workers, typically in urban hubs, with advanced digital technology expertise.65-70%15-20%5m-10mICT professionalsPromoting culture of lifelong learning, continuous improvement, agility, and innovation.Attracting and retaining talent.Workers in advanced industries (such as automotive) with both technological and manufacturing skills.75-80%15-20%10m-15mHigh-tech producersChallenges for employersWorkforce archetypes
legendCreated with Sketch.Share with tertiaryeducation Displacement rate in midpoint automation adoption scenarioNumber of workers
Source: McKinsey Global Institute analysis.

What are the priorities for local communities?

Each community has its own current and future priorities to overcome labor market mismatches. But four broad imperatives stand out: creating viable training and career pathways to address skills shortages, improving access to jobs in dynamic growth hubs, revitalizing and supporting shrinking labor markets, and increasing labor participation rates.

The challenges and priorities vary across different types of local labor markets.

GroupCreated with Sketch.Companies may allow more remote work or consider expanding in lower-cost regions.Create job opportunities for middle- and low-skill workers through targeted training and placement.Invest in STEM and healthcare education, continue attracting STEM professionals to meet increased demand.Add affordable housing and improve transportation infrastructure for commuters.Priorities52%3%20%Megacities and Superstars
legendCreated with Sketch.Share of employment growth, 2018-30Change in working-age population, 2018-30Share of Europe’s population, 2018
Source: McKinsey Global Institute analysis.

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