Workforce Skills & Training Statistics 2026: 48 Verified Facts

Workforce training in 2026 is facing two simultaneous pressures: employers anticipate significant changes to required skills, while many workers and managers lack the engagement and foundational capabilities needed to adapt. This reference page brings together 48 clearly attributed statistics from four authoritative primary sources, with chart-ready values, source dates, limitations and practical interpretations for HR, L&D, business leaders, researchers and journalists.

Important date note: “2026” is the publication/update year of this research compilation—not the collection year for all underlying studies. The World Economic Forum’s 2025 report contains employer forecasts through 2030. The ILO’s exposure analysis was published in 2025. OECD adult skills are based on 2023 assessment data published in 2024. Gallup’s 2026 report summarizes 2025 survey responses. These populations, measures and methods must not be combined as if they came from one survey.

1. How quickly are workplace skills changing?

The World Economic Forum’s Future of Jobs Report 2025 surveys employers rather than following every worker’s skill profile in real time. Employers expected, on average, 39% of existing skill sets to change or become outdated in the 2025–2030 period. The comparable measure was 44% in the 2023 report and 57% in the 2020 edition. This is a slowing in the reported expectations, not evidence that skill changes have stopped. The calculation belongs to WEF’s survey framework; it should not be rephrased as “39% of people will lose their skills.” World Economic Forum, Future of Jobs Report 2025.

Training plans show why skills strategy has become an operating question. In the WEF survey, 63% of responding employers cited skill gaps as a significant obstacle to business transformation, while 85% planned to prioritize workforce upskilling. Seventy percent expected to hire staff with new skills, 50% intended to move workers from declining to growing roles and 40% anticipated reducing staff as certain skills became less relevant. These are different, overlapping employer response groups, not portions of one pie.

2. How many workers may need training by 2030?

WEF’s widely cited training estimate uses an easily understood hypothetical workforce of 100 people. Employers predicted that 59 would need training by 2030: 29 could be upskilled in their current positions, 19 could be trained and redeployed to another internal role, and 11 might not receive the training they require. That leaves 41 outside the projected group needing training in this model. This is a forecast about needs and employer intentions, not a claim that 59% completed courses or that 11% will certainly lose employment.

For corporate L&D planning, the important insight is the difference between skill development within an existing role and training for a different role. Those require different evidence of readiness. A frontline supervisor learning a new workflow may need practice and feedback in the same team. A worker preparing to move into cybersecurity, analytics or a different operational function may need a broader pathway with opportunities to apply new knowledge under supervision. Neither outcome can be demonstrated through course attendance alone.

3. Jobs created, displaced and transformed are not the same statistic

The WEF’s model anticipates 170 million new roles and 92 million roles displaced globally by 2030, leaving net growth of 78 million. Its report describes total disruption equivalent to about 22% of today’s jobs. Those numbers represent modeled labor-market change, not verified counts of jobs created or destroyed as of 2026. The projection reflects several forces, including technology, demography, green transition and economic developments; it would be incorrect to attribute the entire estimate to generative AI.

For an employer making staffing choices now, a global net figure cannot replace the organization’s own analysis of tasks, demand, location and capacity. Job categories that grow internationally might not map directly to available positions in a specific country or firm. The highest-value action is to identify which work will actually change, what capabilities will be needed, and what can be tested through realistic assignments. Source: World Economic Forum, Future of Jobs Report 2025.

4. Generative AI exposure: what the ILO actually measured

The International Labour Organization’s 2025 study examined the potential of generative AI to affect tasks across occupations. It concluded that approximately one in four workers globally are in an occupation with some exposure to generative AI, while 3.3% of global employment falls in its highest-exposure gradient. The highest category covers 4.7% of female global employment versus 2.4% of male employment. Differences are also large by income group: around 34% of employment has some exposure in high-income economies compared with 11% in low-income economies. ILO–NASK, Generative AI and Jobs (2025).

Exposure is not displacement. A job may include tasks a generative model can assist with while still requiring human accountability, interpersonal work, tools or activities beyond the model. The ILO emphasizes that transformation of job tasks is more likely than straightforward elimination across the exposed occupations. Claims that 25% of jobs have already been replaced by AI would misread its research.

The gender comparison illustrates why training and adoption strategies should be evaluated by job function and access to opportunity, not by assumptions about the ability or interests of different groups. A responsible workplace AI program asks where tools will materially alter tasks, which workers need supervised practice, and how the organization will detect bias, privacy risks and work-quality failures.

5. OECD adult skills: a different kind of training challenge

The OECD’s Survey of Adult Skills 2023, published in December 2024, tested proficiency rather than asking employers what skills they expect to need in the future. Across participating OECD countries and economies, an average 26% of adults scored in the lowest two levels of literacy proficiency, 25% in numeracy and 29% in adaptive problem solving. The average scores on 0–500 scales were 260, 263 and 251 respectively. Thirty-one countries and economies participated in the survey. Source: OECD, Survey of Adult Skills 2023 (published 2024).

These figures are not estimates for the entire world, nor do they mean that everyone in those groups is unable to read or work. Proficiency levels have precise definitions in the OECD assessment. The OECD summary additionally reports that, on average, 18% of adults did not reach basic proficiency in any of the three assessed domains; that is a different combined measure and should not be confused with the individual domain shares.

Why does this matter for professional education? Companies sometimes focus exclusively on new AI tools or leadership frameworks while overlooking the information-processing requirements of everyday work. A training intervention may fail because instructions assume a level of literacy, numeracy or problem-solving confidence not shared by all learners. Well-designed programs use realistic examples, accessible materials, practice opportunities and appropriate support rather than interpreting every difficulty as poor motivation.

6. Workplace engagement and the role of managers

Gallup’s 2026 State of the Global Workplace reports that 20% of employees were engaged at work in 2025, with 64% not engaged and 16% actively disengaged. Global engagement had been 23% in 2023 and 21% in 2024. As a simple calculation from Gallup’s published series, the 2025 engagement share was three percentage points below its 2023 figure—do not call that a 3% relative decline. Gallup also reports manager engagement at 22% in 2025 versus 19% for individual contributors. Gallup, State of the Global Workplace 2026.

Gallup’s reported engagement also varies by work arrangement: 30% among exclusively remote workers, 25% among hybrid workers and 17% for on-site workers whose roles are not remote-capable. That is a survey association across groups with different jobs, demographics and conditions; it cannot establish that shifting any given employee to remote work will cause their engagement to increase by 13 percentage points. Regional comparisons also differ: United States and Canada recorded 31% engagement in 2025, compared with 12% for Europe under Gallup’s regional groupings.

For training evaluation, attendance, satisfaction and engagement are different constructs. A manager-development course should be judged partly on whether managers change how they set priorities, coach people, delegate and handle work obstacles. A rise in course completions is not sufficient evidence that the workplace has become more engaging. Research on engagement can help frame a hypothesis; the organization still needs its own baseline and evaluation design.

7. What these findings mean for an HR or L&D team

First, prioritize actual work outcomes. Start with a process, role transition or capability that management can describe clearly. WEF’s projections show the scale of anticipated change; they cannot tell a particular employer which course to buy. Map the tasks changing in your business, the people doing them and the practical work products that demonstrate readiness.

Second, separate reskilling from upskilling. A manager who needs to use a new evidence-based planning tool requires a different intervention from an employee moving from one function to another. Include job practice, feedback, manager support and access to opportunity. A certificate or attendance record should not be presented as the same thing as transferable competence.

Third, design responsibly for AI. ILO exposure estimates suggest where tasks may change, not which jobs are destined to disappear. Assess where human oversight remains essential, which use cases involve sensitive information, and whether the tool improves the real task in representative testing.

Fourth, adapt to learner starting points. OECD foundational skill findings are a reminder that workers enter training with different preparation and confidence. Offer materials people can navigate and exercises closely linked to ordinary work. Do not assume every employee benefits from the same lecture or digital interface.

Finally, measure application. Ask what changes in the work product, customer outcome, error frequency or decision quality after training. Compare results fairly and note alternative explanations. Gallup’s survey provides external context, but it cannot substitute for company-specific evaluation.

8. Complete chart-ready source tables: all 48 statistics

The tables below retain the numerical figure, the population or concept measured, and a direct link to the original research. TheSkillGrid has grouped them for reference; data and survey estimates belong to the named primary research organizations. The tables can be copied for research notes. Check the original source before using a statistic in a new geography or context.

Skills, training and labor-market forecasts (WEF)

On a narrow screen, scroll the source table sideways to see all columns.

Generative AI: occupational exposure, not redundancies (ILO)

On a narrow screen, scroll the source table sideways to see all columns.

Adult foundational skills (OECD PIAAC)

On a narrow screen, scroll the source table sideways to see all columns.

Employee engagement, management and location (Gallup)

On a narrow screen, scroll the source table sideways to see all columns.

9. Methodology and how to cite this compilation

Scope: This is a curated, attributed secondary evidence guide, not an original TheSkillGrid employee survey. Primary research was selected because its publisher describes the sample, collection period or analytical method and provides publicly accessible summary statistics. The tables were checked against the organizations’ own report pages on 21 October 2026. Figures are not combined into a universal ‘global training index’ because WEF employer forecasts, ILO occupation exposure, OECD proficiency testing and Gallup engagement survey responses refer to different populations.

Time periods: WEF’s main reference year is 2025 and its outcomes are forecasts through 2030; ILO occupational exposure is a 2025 study; OECD assesses adult skills in 2023 in participating economies; Gallup 2026 reports responses from January–December 2025. Source publication and study dates must be identified separately when quoting figures. Geographic coverage differs considerably.

Calculated observations: The 2023–2025 global engagement movement of 23% to 20% is a three-percentage-point change computed from the displayed Gallup series. The WEF training illustration sums its reported 29, 19 and 11 people needing training, leaving 41 out of 100 outside that need group. These arithmetic restatements are not independent survey findings.

Citation suggestion: “TheSkillGrid (2026), Workforce Skills & Training Statistics 2026, compilation of WEF (2025), ILO (2025), OECD (2024) and Gallup (2026) primary data, accessed 21 October 2026.” Whenever possible, link the original study alongside this accessible compilation, and credit the original research producer for the statistical result.

10. Questions researchers and journalists frequently ask

Do 39% of workers need replacement by 2030?

No. WEF’s 39% refers to the expected transformation or obsolescence of existing skill sets over a forecast period, not a share of workers expected to lose employment.

Does the ILO say one in four jobs will disappear because of AI?

No. Its occupational exposure index measures the extent to which tasks may be affected. Exposure and actual job losses are different outcomes. The ILO emphasizes task transformation.

Are the OECD basic-skills figures worldwide?

No. The Survey of Adult Skills 2023 covers 31 participating countries and economies, and its individual domain scores use defined assessment scales and proficiency categories.

Is remote work proven to cause higher engagement?

No. Gallup’s engagement figures compare worker groups, but different job and organizational conditions may affect the comparison. A causal claim needs a different research design.

Can the 2025 WEF and 2026 Gallup percentages be added together?

No. They measure different populations, concepts and periods. Use each finding with its original denominator and definition.

Primary-source reference list

1. World Economic Forum, Future of Jobs Report 2025. Employer survey and forecasts to 2030.
2. ILO–NASK, Generative AI and Jobs (2025). Occupation-level task exposure estimates.
3. OECD, Survey of Adult Skills 2023 (published 2024). Assessment results from participating economies.
4. Gallup, State of the Global Workplace 2026. 2025 employee survey results, reported in 2026.

Editorial note: This page is designed for reference and research. Statistics may be revised by their publishers. We revisit linked primary reports and correct material changes rather than republishing an unsupported percentage. Last source check: 21 October 2026.

Relevant practical training

These studies can help frame capability questions, but they do not establish which course a particular organization needs. The starting point is the actual work, role transitions and performance gaps in your team. Related live instructor-led programs include:

• Strategic Workforce Planning — map critical roles, future demand and skills priorities against operational plans.
• People Analytics for HR and Business Decisions — translate workforce measures into decisions, with clear definitions and limitations.
• AI for Business Leaders — assess practical AI adoption and governance rather than equating task exposure with job loss.
• Effective Leadership Skills for New Managers — strengthen the everyday management practices that affect performance and engagement.

For a multi-team capability need, request an in-house training discussion so objectives, delivery format, location and fees can be confirmed before a proposal. These courses are options to evaluate, not recommendations that follow automatically from population-level statistics.