The Post-AI Org Chart: Leadership Roles Emerging by 2028

As Global Head of Research & Leadership Advisory at JRG Partners, I spend much of my time on exactly this question, and the conventional wisdom around it is only half right. AI is not just changing how work gets done; it is beginning to reshape the leadership structure of companies, and by 2028 the org chart will look different. New leadership roles are emerging as AI transforms the business, and forward-looking companies are already anticipating them, because the companies that shape their leadership structure for the AI era ahead of the curve will lead it.

AI Reshapes the Org Chart, Not Just the Work

AI’s impact goes beyond automating tasks; it is beginning to reshape how companies are led and structured. As AI transforms functions, decision-making, and the balance of human and machine work, the leadership structure adapts: new roles emerge, existing roles change, and the org chart evolves. Companies focused only on AI’s task-level impact miss this structural dimension, that AI is reshaping leadership itself. Anticipating how the org chart will change as AI transforms the business is a forward-looking capability that will distinguish the companies that lead the AI era.

Emerging AI Leadership Roles

New leadership roles are emerging around AI. Roles focused on AI strategy and transformation, on data as a strategic asset, and on the integration of AI into the business are appearing at senior levels, whether as dedicated executive roles or expanded mandates. The specific titles and structures are still forming, but the direction is clear: companies are creating leadership focused on harnessing AI strategically. Anticipating and shaping these emerging roles, rather than reacting to them, positions a company to lead its AI transformation with the right leadership in place.

How Existing Roles Change

Beyond new roles, AI changes existing leadership roles. Functional executives increasingly need to lead AI-transformed functions, integrating AI into how their areas operate; the balance shifts as AI takes over analysis and execution, changing what leaders focus on (toward the human dimension); and roles evolve as the human-AI division of work shifts. The post-AI org chart is not just new roles but transformed existing ones, and anticipating how each leadership role changes as AI reshapes its function is part of preparing the leadership structure for the AI era.

Anticipating the 2028 Structure

By 2028, the leadership structure of AI-transformed companies will look meaningfully different: new AI-focused roles, transformed functional roles, and a structure adapted to a business where AI does much of the analysis and execution. Forward-looking companies are anticipating this now, thinking about the leadership structure the AI era will require and beginning to build toward it, rather than waiting for the change to force reactive restructuring. Anticipating the 2028 org chart is how companies prepare their leadership for the AI-transformed business ahead.

The Advantage of Anticipation

The companies that anticipate the post-AI org chart, building the emerging leadership roles and adapting existing ones ahead of the curve, will be positioned to lead the AI era, while those that react only as the change arrives will scramble to catch up. Anticipating the leadership structure the AI era requires, and beginning to build toward it, is a forward-looking advantage available to companies willing to think ahead about how AI reshapes not just work but leadership. Shaping the org chart for the AI future, rather than reacting to it, is how companies lead that future.

What This Looks Like in Practice

In practice, anticipating the post-AI org chart means thinking now about how AI will reshape the company’s leadership structure by 2028, what new roles around AI strategy, data, and human-AI integration will be needed, how existing functional roles will change as AI transforms their functions, and beginning to build toward that structure ahead of the curve. Forward-looking companies shape their leadership for the AI era proactively rather than reacting when the change arrives, positioning themselves with the right leadership structure to lead the AI-transformed business.

The Mistake Employers Keep Making

The mistake is treating AI as only a task-level or tool-level change and ignoring how it reshapes the leadership structure, then reacting to the structural change only as it arrives, scrambling to build the emerging AI leadership roles and adapt existing ones after competitors have. The fix is anticipating the post-AI org chart, thinking ahead about the leadership structure the AI era requires and building toward it proactively, a forward-looking advantage.

The Bottom Line

AI is reshaping the leadership structure of companies, not just the work, and new leadership roles around AI strategy, data, and human-AI integration are emerging while existing roles transform, so anticipating the post-AI org chart and building toward it ahead of the curve is how forward-looking companies position themselves to lead the AI era. Do this well and the results compound: better hires, stronger reputation in the market, and a leadership team that raises the ceiling on everything else the company attempts.

Related Reading

For employers going deeper, see The AI-Fluent Executive, Human Skills in an AI Company, Scenario Planning for Leadership.

Tanya Gallardo

Managing Director, Executive Search & AI Talent Strategy

Tanya Gallardo is the Managing Director of Executive Search & AI Talent Strategy at JRG Partners, leading C-suite and Board engagements across key growth sectors including Technology, Financial Services, and Manufacturing.

With over 18 years of experience specializing in disruptive technology leadership, Tanya is recognized as a leading authority on talent architecture for future-focused executive roles, such as the Chief AI Officer (CAIO) and Chief Digital Officer (CDO). Her expertise lies in accurately assessing the cultural fit and technical depth required to ensure a high return on investment (ROI) for critical leadership appointments.

Prior to her role at JRG Partners, Tanya held senior roles directing global talent acquisition strategies at a major publicly-traded technology firm, advising on organizational design and succession planning for emerging executive functions. She is a recognized speaker and contributor to industry events, sharing data-driven insights on executive compensation, leadership development, and the measurable business impact of C-suite talent.

Connect with Tanya to discuss your executive search needs.