HiBob has launched a new AI Skills Framework and AI Skills Assessment Guide designed to help organizations define, evaluate, and develop the capabilities employees need as AI becomes increasingly embedded into everyday work.
The new resources aim to move organizations beyond fragmented approaches to AI skills and create a more structured way to manage workforce transformation by offering a shared framework across the company.
The launch comes as businesses continue investing in AI tools but face growing questions about whether adoption is translating into meaningful value. HiBob’s Assessment Guide, based on insights from 1,200 people and business leaders, highlights the challenge organizations face in understanding whether employees have the capabilities needed to make AI deliver impact.
Building a Framework for AI Skills Development
HiBob’s AI Skills Assessment Guide identifies a gap between what organizations expect from employees in the AI era and their ability to define, measure, and develop those skills. Many companies are encouraging employees to adopt AI tools but lack a consistent framework for understanding what effective AI usage looks like across different roles.
The company’s AI Skills Framework is designed to address this challenge by providing organizations with a shared language for AI capabilities. It allows leaders to map the skills required for different positions, shape job expectations, and support employee development programs.
These resources are integrated with HiBob’s wider platform capabilities, including its Skills and Jobs Catalogs, which allow organizations to create a centralized view of the skills most important to their workforce strategy.
By connecting skills data with areas such as hiring, learning, performance management, and workforce planning, HiBob aims to help businesses make more informed talent decisions as roles continue to evolve.
Sophie Chesters, Chief Marketing Officer at HiBob, said AI adoption requires organizations to focus not only on technology but also on helping employees understand how their roles and capabilities need to change.
“AI is already changing roles, skills and expectations. In my own team, we’re using it to work faster, surface better insights and make our demand engine smarter. But the technology is only one part of the equation,” she said.
“The harder work is helping people understand how their roles will evolve, which skills matter, and how to use AI with confidence and good judgment.”
Why Workforce Readiness Could Determine AI ROI
While businesses have accelerated AI investment, many are now moving into a more difficult phase, ensuring adoption creates measurable business value. Deploying AI tools does not automatically lead to productivity gains if employees lack the skills, guidance, or confidence to use them effectively.
Research from Epoch AI suggests that while many workers report AI has changed aspects of their workflows, AI usage is still often concentrated around narrower, lower-impact tasks rather than fundamentally reshaping higher-value work. This highlights a challenge for enterprises. They must move from AI experimentation to deeper integration.
The issue is not simply whether employees are using AI, but whether they understand where it can create the most value. Without clear expectations around AI skills, organizations risk seeing widespread usage without achieving the transformation they initially expected.
This is where HR is increasingly becoming a critical stakeholder in enterprise AI strategies. Conversations at HR Tech Europe 2026 reflected how the role of HR is expanding beyond traditional workforce management, with the function becoming more involved in guiding AI adoption, managing skills development, and helping organizations adapt roles around new technology.
As AI changes job requirements, HR leaders are increasingly responsible for understanding where capability gaps exist and ensuring employees have the support needed to develop new skills. This shifts AI adoption from being solely a technology deployment challenge into a broader workforce transformation challenge. HiBob’s new AI Skills Framework is designed to support that shift by giving HR teams a more structured way to define, assess, and develop AI capabilities across the workforce.
Moving From AI Experimentation to Workforce Transformation
HiBob’s launch reflects a wider shift in enterprise AI adoption. As organizations move beyond early experimentation, the focus is increasingly turning toward the people and processes required to make AI successful at scale.
The company argues that businesses cannot effectively adapt to AI-driven change without first understanding their existing workforce capabilities. By creating clearer definitions of AI skills and linking them to roles, organizations can make more targeted decisions around training, recruitment, and development.
The challenge ahead will be ensuring employees are not only familiar with AI tools but also equipped to apply them in ways that create meaningful business outcomes. As AI becomes embedded across more functions, workforce capability will likely become a key factor separating organizations that successfully capture value from those that struggle to move beyond experimentation.
