Workday, Inc. has launched Work Intelligence. The tool shows companies how AI is changing the work inside each job and which skills their people will need next. It breaks each job into tasks, links those tasks to skills and helps leaders plan how to grow their people.
Work Intelligence draws on Workday Skills Cloud, which more than 3,450 customers now use. Skills Cloud runs on an ontology of more than 75,000 canonical skills.
Why Tasks Matter
Job titles and org charts do not show how AI will change work. AI rarely changes a whole job at once. It changes tasks. As tasks change, the skills that matter most change too. Work Intelligence shows leaders and employees where this is happening, who already has the rising skills and what training can fill the gaps.
Nikki Helmer, Vice President, Talent Management and Insights at Workday, said the basic unit of work is shifting from the job to the task. Without that view, she said, companies guess whether to hire, build skills, automate or redesign roles. Work Intelligence gives leaders the data to redesign roles and help people grow.
Most companies can see headcount, reporting lines and job titles, but not the tasks behind them. Work Intelligence closes that gap inside Workday, where their people, jobs and skills data already sits. It is built as an ongoing view, not a one-off study. Leaders can keep planning as business needs and AI agents change.
New Paths and New Roles
AI will also create new roles. Companies will need people to design how humans and AI agents work together, measure AI impact, manage agent performance and decide where AI should not be used. The 2026 Workday Global Workforce Report found that 76% of heavy AI users expect AI to create new career opportunities.
Work Intelligence works with Workday Decision Intelligence to show how ready a company is from within. It shows which employees already hold key adjacent skills. Decision Intelligence can then help measure the time and cost benefits of growing those skills in-house instead of hiring. Neither tool makes decisions about people. They show how work is changing, and people decide what to do.
Workday Learning, powered by Sana, turns these insights into personalised learning paths. A financial analyst whose manual reconciliation work is increasingly supported by AI, for example, can see which forecasting skills matter most next. They can then follow a personalised path to build them.
Measuring AI’s Impact
Every company investing in AI eventually asks whether it is working. Work Intelligence lets leaders see how tasks change and how an employee’s time shifts to new work. It shows which skills are growing and whether employees are moving into new roles. This links AI spending to business value without relying on assumptions or one-time studies.
