AI responsibilities are expanding faster than job descriptions and reward structures, according to Oyster’s 2026 Global AI Talent Report, which combines platform data with a survey of more than 1,000 HR and people-management professionals.
Key takeaways
- Review job descriptions against the AI work people are already doing.
- Be explicit about how new responsibilities affect development and reward.
- Distinguish Oyster platform hiring data from the separate HR survey.
Two-thirds of surveyed companies had added AI skill requirements to traditionally non-technical roles such as marketing, HR and operations. Among that group, 46% had not formally communicated the change.
For companies adding AI requirements to existing roles in the previous 12 months, 62% changed neither the job title nor compensation. The findings raise questions for HR teams about whether expectations, recognition and assessment are keeping pace.
Experience is requested, but not always used
Among the 68% of companies asking candidates what they had personally built with AI, 53% said the answer did not affect hiring or pay decisions.
The survey also found mixed expectations for employees who automate part of their own job. Some 38% of HR professionals said the employee would be rewarded, 26% said nothing would change, 24% said they would receive more work and 6% said the role would shrink.
The people making workforce decisions are often the furthest from the tools doing the work, so the shift is hardest to see from exactly the place it needs to be managed.
AI demand extends beyond technical titles
Oyster separately analysed more than 15,000 job descriptions for roles filled through its platform between January 2022 and June 2026. The share explicitly requiring AI skills rose from 5% in 2022 to 15%, while nine in ten roles requiring those skills did not mention AI in the title.
AI requirements appeared in 17% of marketing coordinator roles, 15% of recruiter roles and 10% of operations coordinator roles in the platform analysis. Country-level shares were highest in Switzerland at 21%, followed by Poland at 20% and Portugal at 19%, compared with 9% in the UK.
These figures reflect employers hiring through Oyster and should not be treated as a measure of all vacancies in those countries. They do, however, illustrate why title-based searches can miss changing skill requirements.
When AI skills were missing, 53% of surveyed companies preferred to train existing employees, 31% combined training and hiring, and 14% primarily hired externally.
For recruitment teams, a practical response is to define the relevant AI capability, assess it consistently and explain how it influences selection and reward. For existing staff, employers should clarify changing expectations and the support available to meet them.
About the research: The report combines Oyster platform job-description data, a Prolific survey fielded in August 2026 among more than 1,000 HR and People leaders across the US, UK, Canada and Europe, and the company’s Impact Report. Platform figures for 2026 cover the first half of the year. Source: Oyster.
Photo: Andrea Piacquadio / Pexels. Illustrative image.
