How skills-based organisations are facing the future (and winning the talent race)

Over the past two articles in this series, we’ve followed how the skills-based organisation (SBO) model of work has progressed: from false starts in the early 2020s to successful transformations taking place today. With this final article, we look to the future of the SBO, painting a picture of changes that might take place. We also suggest steps HR and business leaders can take now to purposefully and carefully set up a framework and culture that champions skills and technology.
 

A vision of the future SBO

The SBO model is a holistic philosophy that values outcomes rather than output and skills rather than jobs. As we help clients nurture this philosophy into a solid strategy for success, we expect to see tangible changes unfolding, organisation wide, over the next five to ten years.

In an SBO, organisational layers flatten as the enterprise begins to operate as a modular capability network, with the skills hub mentioned in our previous articles at the center –talent philosophy, skills framework and a common language, data and AI powered technology enablers, and governance.

AI and skills are the co-drivers of work design; we cannot (and should not) think of the future SBO without seeing AI woven into many aspects of the operating model. It’s what will allow the operating model to learn and self-adjust, guided by humans, and trained with organisational data.  

All parts of work, the workforce and the workplace will align and support the skills focus, but here are the most noteworthy changes you can expect if you make the transition to an SBO:

• Skills-based gig work will replace fixed roles and tasks; with teams forming and dissolving based on business demand.
• Internal talent marketplaces will connect people to work and or gigs as development opportunities
• Skills-focused technology will be mainstream in many HR systems and offer consistent skills data across learning, performance, recruitment, workforce planning.
• Employees will develop and maintain different skills than they do now.
• Outcome-based employee performance metrics will factor into individual target setting.
• AI agents will orchestrate work and manage internal skills supply and demand.

Benefits

What are the outcomes of these future changes? We’re envisioning that you’ll pivot faster to seize new market opportunities or overcome disruptions, as an updated (to the minute) picture of internal capabilities becomes fully visible. You’ll boast a serious competitive advantage in the talent race through full optimization of those capabilities, with more internal staff mobility, less mis-hiring and better retention.

More specifically, the SBO model – backed by invaluable AI insights and suggestions – will have ensured that you always know what skills are needed today and in the future , and how to attract, position and retain the best workers to provide those skills. And let’s not forget the benefit of value creation as agentic AI takes routine tasks out of workers’ hands and their career paths are illuminated by skills and assignments. Finally, staff are likely to appreciate benefits resulting from the switch to outcome-based metrics – which brings more accountability and fairness in evaluations, tying rewards to skills and impact rather than hours, tenure or role titles.

Redesigned work, reinvigorated workforce

Let’s zoom in on how work and the workforce will look in an SBO. The picture will certainly be different from what we see now, because work will become outcome driven, changing what we expect from the people performing it. Traditional hierarchies and job-based structures will give way to fluid, skills-centered ecosystems as teams form and dissolve dynamically around skill needs, building resilience. Learning can also become more organic and contingent upon whatever tasks people take on, expanding their skills toolkits as they learn “on the job” in real time (inherently making the organisation more adaptable as roles evolve or disappear).

An employee will be seen as more than just a role-holder capable of one job. Becoming an SBO uniquely positions a company to accommodate what we know now as the gig economy, uniting all types of workers within the company’s workforce ecosystem. Whether full time, part time, subcontracted or hybrid, a person will enjoy the same benefit of having their individual skills, expertise, preferences and qualifications prioritized, publicized and mobilized within the organisation to get work done.

AI-driven skills intelligence and AI agents will enable all workforce shifts and gains by continuously scanning work demand, illuminating new ways to organize work, matching skills to tasks and forming teams for particular projects in real time. AI will also suggest learning and development specific to an employee’s experience and goals, and ensure those suggestions align with business needs.

As a leader, you’ll recognize the criticality of creating and managing a framework that merges human capabilities and AI. With your vision and flexibility, you’ll lead the SBO not by being an AI expert yourself, but by orchestrating human-AI teams that enable AI agents to complement and lift up what will always be the lifeblood of any company: the people. Humans remain the ethical and strategic gatekeepers of all AI initiatives, taking charge of ensuring governance and ethics are built into the framework via transparent marketplace decisions, compliance, transparency in how skills are matched to tasks, and bias that AI agents track and flag.

Skill mechanics: Data, technology and people

A smoothly operating SBO is a machine that depends on technology enabling all moving parts to integrate and enhance each other. (Check out our previous article for insights about skills-specialist technology.) Skills data is the fuel, and AI is the engine converting it into gains on an enterprise level.

In a mature SBO, data from learning platforms, talent systems, project records and performance feedback is continuously updated and entered into the central skills hub, affording a single, consistent view of workforce capabilities. AI tools – increasingly supported by agentic or autonomous functions – help maintain and enrich this data. They infer new skills from employees’ work history, validate existing ones against project outcomes, and flag emerging gaps or patterns for human review.

The central hub and its AI engine will generate practical, evidence-based insights, such as where to redeploy talent, which skills are declining in relevance and what development actions are most urgent. Routine coordination tasks (for example, updating skill profiles or recommending matches for open roles) can be automated, but humans remain responsible for interpretation, governance and decision-making.

The AI agents running the skills hub will also enable another critical and invaluable aspect of the SBO: the internal talent marketplace. Each worker will be associated with a unique skillset and learning and development profile the AI maintains and updates in real time, and together those profiles make up the marketplace. This could be a platform where employees can opt into assignments, and where business planners select teams when a business challenge arises, based on their desired outcome and AI’s suggestions for capabilities and employees who possess them.

Although technical skills will remain important in an SBO, routine tasks associated with humans today will be more efficiently handled by AI agents or other technology solutions. Other skills will become critical for humans to lend their personal touch; their transactional work will decrease, but we’ll see an increase in relational work and work requiring creativity and critical thinking. Future (and current) workers should hone their ability to solve problems creatively and offer the traits outlined in the graphic below. It’ll also be necessary for some employees to work with, guide, supervise or use their expertise to train, oversee and collaborate with AI; those who do will find themselves highly valued, and rewarded.

Current steps toward a skillful future

Building on the actions suggested in the first two articles of this series, which cover the basics to begin SBO implementation, we now present key steps that ensure all elements fall into place in harmony as you move through the transition stages:

1. Define and map skills: Create a consistent, organisation-wide framework of technical and human skills, using market intelligence and AI.
   
   
2. Embed skills data into all talent systems and processes: Use skills as the key data point for all your talent decisions, and ensure that it: reflects current and developing skills specific to each employee, is readily accessible for key talent decisions, and feeds into analytics that show you where talent gaps might arise.
   
   
3. Pilot a talent marketplace and skills-based mobility: Have your AI-powered marketplace platform match people to projects and monitor the outcomes.
   
   
4. Prep for human-AI teaming: Equip leaders to lead human-AI teams, prepare employees to oversee tools, and highlight AI’s ability to free up time for staff.
   
   
5. Lock down governance, ethics and change management: Decide who owns the skills hub and its data, and foster a mindset shift among people and leaders to move in the direction of an SBO. This includes encouraging a culture of continuous learning, mobility and preparedness for a truly skills-driven way of working. Doing this early in your planning can clearly show how skills data and AI will be applied.

The value of transformation

Our clients represent many different points on a wide spectrum of SBO maturity. As we guide them through pilots or full transformations, one thing common to all their experiences is the fact that the ideal SBO described in this article does not manifest overnight. For most adopters, it’s a significant company evolution, requiring not just careful strategizing but a shift in philosophy. But the beauty of such a shift is that, when complete, the transformation and the benefits are all encompassing. Treating skills as the strongest currency means investing in a future that will pay off broadly and indefinitely.