The Rise of Work Charts Over Org Charts

The organizational (org) chart has long served as the backbone of how companies visualize themselves, with its neat pyramid of boxes and lines that tell everyone where they sit and who they report to. Born in the industrial age to bring predictability and order to growing organizations, it did its job well. Now, what was once tried and true is no longer keeping pace.

Microsoft’s 2025 Work Trend Index Annual Report put a name to what many leaders had been feeling: the traditional org chart is giving way to something entirely new. They called it the Work Chart.

What Is a Work Chart?

On paper, the concept is relatively simple.

Microsoft defines the framework as:

Work Chart: The next org chart, structured around jobs that need to be done rather than functional expertise.

What makes this concept more complicated is its implications. Most companies still structure their people around departments like operations, sales and finance. That made perfect sense when humans were the only source of specialized knowledge and functional roles did not shift so quickly. As AI adoption increases, the world is seeing a fundamental reimagining of how work is organized, executed and valued.

Why the Org Chart Isn’t Working

Three major forces are driving this shift:

1. AI agents don’t fit traditional structures

AI agents operate across departments, handling customer service, analysis, content creation and more. They rarely belong to a single department, making rigid hierarchies harder to maintain. Gartner predicts that by 2026, 20% of organizations will use AI to flatten their structures.

2. Skills are being elevated over titles

Research shows 89% of executives see skills as the primary unit of work. The question is no longer “Which department owns this?” Instead, it’s “Who—or what—can do this job now?” As this shift continues, career progression becomes less about climbing a fixed ladder and more about building a portfolio of adaptable, verifiable skills that can be deployed across contexts.

3. Expertise is more widely accessible

AI has removed many barriers to domain knowledge. When capabilities like data analysis, legal drafting or copywriting can be accessed instantly, structuring teams around fixed expertise loses its relevance. Org charts were designed to contain expertise; work charts will activate it where it’s needed most.

What Does This Shift Mean for Learning Initiatives?

As work transforms, traditional L&D models will be affected:

Skills will replace role-based training

Static training tied to job titles can’t keep up with changing competency demands. Skill requirements have already shifted significantly. By 2030, 39% of workers’ core capabilities are expected to change. Organizations need dynamic proficiency frameworks that evolve alongside our actual work.

Learning will need to integrate into workflows

In a Work Chart model, teams form around projects, not departments. To effectively train employees, learning must follow this transition by becoming embedded, personalized and driven by real-time needs and not solely as standardized programs. This move can also reduce training costs by up to 50%.

AI management will become a vital talent

The emergence of the “agent boss” mindset means employees will need to learn to build, manage and productively collaborate with AI agents. Currently, 66% of leaders are familiar with AI agents, while only 34% of employees say the same. With this significant readiness gap, AI management becomes a necessary focus area for L&D.

Human skills will be more valuable

As AI handles many technical, repeatable tasks, human capabilities such as critical thinking, communication, collaboration and judgment become primary differentiators. These skills will be seen as essential to performance in fluid, team-based environments.

Putting the Work Chart into Practice

Leading organizations are already moving in this direction. A few patterns emerging from the early movers are:

• Designing around capabilities: Companies like Johnson & Johnson are building internal talent marketplaces that match people to projects based on competence rather than functional titles.
• Scaling AI fluency: Organizations are building programs like Accenture’s LearnVantage initiative, which deliver AI and data training across technical and non-technical roles, reinforcing AI fluency as a workforce-wide capacity.
• Weaving learning into work: L&D teams like those at Microsoft are already infusing learning directly into workflows through microlearning systems and AI-supported coaching.

What emerges from the rise of Work Charts is a more adaptive view of organizational design. Instead of optimizing for stability, we’ll see businesses optimizing for speed, flexibility and access to capability. Companies that embrace this moment as a learning opportunity will be better positioned to respond to constant change while maintaining momentum—building resilience as they move and strengthening their ability to adapt over time.

Explore how Emergenetics can help your organization develop the human skills your people need to thrive in a work chart world. Connect with our team.

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