SFIA, AI and the Future of Human Capability
For more than two decades, the Skills Framework for the Information Age (SFIA) has supported organisations in creating a common language around capability, responsibility, and professional growth. It has become one of the world's most widely adopted frameworks for understanding skills across digital, data, technology, and business environments.
Its long-term relevance comes from a simple but crucial idea, capability is more important than job titles.
Across its seven levels of responsibility, SFIA provides a structured way to understand autonomy, influence, complexity, business skills, and professional contribution. This helps organisations move beyond labels and focus on what people actually do, how they contribute, and the level at which they operate.
This matters because job titles don’t always tell us what someone does. For instance, a "Manager" in one organisation may perform a very different role to a "Manager" somewhere else. Titles vary across organisations, industries, and countries, making it difficult to compare capability consistently.
SFIA is able to move through that complexity by asking more meaningful questions - What does this person actually do?What level of skills do they operate at?How can this help with understanding contribution (two-way pathway – individual & org)?
AI is Changing the Conversation
While SFIA has helped organisations understand workforce capability, artificial intelligence is introducing a new dimension to the conversation.
The challenge is no longer primarily understanding what skills people have. Increasingly, organisations are trying to consolidate how human capability, technology and outcomes come together in a galloping world setting.
At the same time, many of the qualities that create value remain at a raw essence human. Judgement, adaptability, creativity, communication, leadership and problem-solving are becoming more important, not less.
As we move at the speed, understanding human capabilities and how technology can enhance may prove to be one of the defining workforce challenges of the coming decade/s (especially as we see vast generational change in the way technology is being adopted).
The Challenge of Defining AI Skills
One of the most interesting observations emerging from the SFIA Foundation's work on AI is that artificial intelligence is evolving faster than most frameworks can adapt. New tools emerge constantly, roles continue to evolve and industries are adopting AI in very different ways. More info here SFIA - a framework for AI skills — English
The natural response is to create increasingly detailed lists of AI-specific competencies. Yet this approach can quickly become outdated as technology changes.
SFIA takes a practical and flexible approach.
Rather than focusing on individual technologies, it focuses on ongoing professional capabilities that remain valuable regardless of which platforms or tools emerge next. These include capabilities such as problem-solving, communication, leadership, governance, architecture, innovation, decision-making and change management.
This reflects a shift in thinking. Rather than continually chasing the latest technology trends or expanding lists of tool-specific skills, organisations can focus on building adaptable capabilities that remain relevant as the technology evolves. In this way, capability becomes more prevalent than any individual technology, assisting organisations to navigate change.
Capability as the high priority
There can be a tendency in AI discussions in the workforce to centre around the technology. Yet, the challenge is perhaps more a people one.
Two individuals can be given access to the same AI tools and generate entirely different outcomes. The difference does not lie in the technology itself. More often, it rests with how people approach a problem, exercise judgement, communicate ideas and apply insights in meaningful ways.
This raises a dynamic consideration. Instead of asking - "What AI skills should everyone develop?" Perhaps we should be asking - "How can AI help a particular person be their best?"
For some people, AI may help automate repetitive tasks and improve consistency. For others, it may support idea generation, planning, analysis, or decision-making.
The technology may be the same, but the way it creates value is different.
Further, this is why understanding people remains so crucial during technology advancement. When AI is aligned with an individual's strengths, preferences, and level of responsibility, it can become an enabler rather than simply another technology tool.
Last Thoughts, a New Workforce Equation
The organisations that gearing up for the age of AI are unlikely to be those that simply adopt more technology.
They will be the organisations that look to better know their teams - how they learn, contribute and create.
Overall wholistic growth will not come from technology alone. It will come from people's strengths, interests, potential and setting environments that allow them to do their best work.
To this end, when capability frameworks, human insight and intelligent technologies are aligned, organisations will move beyond simply ‘managing’ in a global AI world. They will cultivate cultures of experience, where there’s continuous learning and where in the mists of change the strengths of human potential are revealed.
In many ways, this context suggests that the future of workforce development is not about choosing between people and tech. It is about balance, consideration and ultimately choices on the best way to approach AI technology.
In summary, AI might just be the most exciting adventure, if as humans we approach the technology not as something that diminishes our humanity, but with all the meaningful, unique, lived experience and at times messy things that make us humans. This messiness matters, as alongside well placed AI, it is what offers the source of innovation, art and connection.
Continue Your SFIA Journey with UntappedME®
As a footnote of our work, for individuals and organisations looking to build a deeper understanding of SFIA, Untapped as an accredited partner, has developed SFIA-aligned learning experiences through the UntappedME Learning Centre. These resources are designed to bring capability frameworks to the learning journey.
Through the platform, users can access:
SFIA learning pathways covering the framework, responsibility levels, skills profiling, and workforce capability concepts.
The SFIA Behaviour Game, an online interactive game designed to create experiential learning that connects conversations about capability and behaviours.
Jump in to support continuous learning, growth, and performance in an increasingly AI-enabled world.
Send us message at contact@untapped-talent.com to learn more.
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References
SFIA Foundation. (2026). The global skills and competency framework for the digital world.
Untapped. (2026). UntappedME™ Learning Centre - SFIA Learning Pathways. UntappedMe Learning Center