LONDON, November 02, 2026 — Demand for AI, automation and AI governance skills is growing rapidly, but technology is only one part of the shifting talent landscape. WTW’s Q3 2026 Talent Intelligence Report finds that employers are also prioritising customer engagement and operational roles where human judgement and interaction remain critical.
This interaction between technology and human capability is most evident in customer-facing roles. Customer Service Representative ranks as the most in-demand job globally, reflecting employers’ continued focus on responsiveness, retention and customer loyalty. The wider top 20 also includes Account Manager, Sales Representative and Call Centre Representative roles, showing that while technology is changing how work gets done, organisations continue to rely on people who can build relationships, understand customer needs and apply judgement in real-world interactions.
Technology, product and data roles account for half of the top 20 jobs in demand, reflecting how deeply digital capability is now embedded across business functions. These roles are increasingly being deployed alongside customer, operational and commercial teams, highlighting a broader shift towards workforces that combine technical expertise with business judgement and communication skills.
Against this backdrop, Sales, Marketing and Customer Service represents the largest share of overall talent demand at 25%, ahead of Supply Chain, Logistics and Manufacturing at 20%. Even as automation absorbs more routine work, employers continue to need people who can build relationships, negotiate effectively and turn customer insight into commercial value.
As work evolves, employers are increasingly looking for a combination of emerging technical skills and the human capabilities needed to apply them effectively. Agentic AI is the fastest-growing emerging skill globally and ranks highly in North America, while Generative AI leads the international ranking. As adoption moves beyond experimentation, AI Governance is rising alongside these technologies. This suggests organisations are not only investing in AI capability, but also in the controls, oversight and workforce readiness needed to embed it responsibly at scale.
That transition from experimentation to execution is visible in the wider skills picture. Workflow Automation and Data Storytelling are emerging skills demanded in all regions. Together, these trends point to rising demand for employees who can deploy new technology and those who can turn its outputs into clear commercial decisions. For employers, understanding how these technologies reshape individual tasks and accountabilities will become increasingly important when determining where to automate, where to reskill and where human expertise creates the greatest value.
Erin Page, Talent Intelligence Lead at WTW, said: “The findings show that AI is not replacing the need for human capability; it is changing where organisations need it most. Employers are looking for people who can combine technical fluency with judgement, communication and customer understanding. The organisations best positioned for growth will be those that build these capabilities together, while giving employees clear routes to reskill and progress.”
Employers are looking for people who can combine technical fluency with judgement, communication and customer understanding.”Erin PageTalent Intelligence Lead
Ruchi Arora, Senior Director, Work & Rewards WTW added: “For HR leaders, the priority is to understand how work is changing at the task level and use that insight to guide which skills are needed, which skills exist and where there are gaps, in the context of true strategic or dynamic workforce planning. A structured approach can help organisations target automation effectively, identify adjacent talent pools and focus investment on the skills that will create sustainable value.”
Top 20 Jobs in Demand
| Rank | Job |
|---|---|
| 1 | Customer Service Representative |
| 2 | Software Engineer |
| 3 | Account Manager |
| 4 | Warehouse Associate |
| 5 | Sales Representative |
| 6 | Project Manager |
| 7 | Test Engineer |
| 8 | Production Operator |
| 9 | Cyber Security Engineer |
| 10 | Data Scientist |
| 11 | Application Developer |
| 12 | Data Engineer |
| 13 | Supply Chain Specialist |
| 14 | Product Manager |
| 15 | Solution Architect |
| 16 | Call Centre Representative |
| 17 | Machine Learning Engineer |
| 18 | DevOps Engineer |
| 19 | AI Engineer |
| 20 | Financial Analyst |
Notes to editors
- The Q3 2026 Talent Intelligence Report focuses on general industry and analyses job descriptions from more than 1,500 leading organisations worldwide.
- The data reflects the first half of 2026, from January to June, and draws on publicly available human capital data classified using WTW’s proprietary skills taxonomy.
- “Emerging skills” are those showing the greatest increase in occurrence compared with the previous six-month period.
About the research
WTW’s Q3 2026 Talent Intelligence Report analyses job descriptions from more than 1,500 leading organisations across industries worldwide. The data reflects recruitment activity during the first half of 2026, from January to June.
About WTW
At WTW (NASDAQ: WTW), we provide data-driven, insight-led solutions in the areas of people, risk and capital. Leveraging the global view and local expertise of our colleagues serving 140 countries and markets, we help organisations sharpen their strategy, enhance organisational resilience, motivate their workforce and maximise performance.