In April 2026, Atlassian put Avani Prabhakar in charge of a new, 3,500-person organization responsible for AI transformation across all 14,000 employees. Her title changed from head of HR to chief people and AI enablement officer. She was not the first. Moderna did the same in May 2025, merging HR and IT under Tracey Franklin, then its CHRO, who became chief people and digital technology officer. Lumen Technologies followed in March 2026, expanding its chief people officer role into chief people and AI enablement officer. Three companies in 12 months handed AI transformation to the head of Human Resources because they understood something most leaders still have not: the hard part of AI is not deploying the technology. It is reimagining the work and the workforce that will be doing it.
The job is no longer a stable unit
For a century, the job has been the fundamental unit of the organization. Companies hire into jobs, pay by job title, promote from job to job, and plan head count using the job as the basic unit of measure. This works as long as the jobs in question map closely to the units of work that the company needs its employees to perform. AI is breaking that connection.
A job is really a bundle of tasks, and AI does not affect every task in every bundle equally. Some tasks can be automated outright. Some can be delegated to an AI agent with a human checking the result. Others become more valuable precisely because they require judgment, context, or accountability. When most jobs that have traditionally been done by humans are decomposed, it is rare to find that an AI system can straightforwardly take over every task. This means the human job cannot be the lens for understanding how to integrate AI into the workforce.
The World Economic Forum projects that 39% of the skills workers rely on today will be transformed or obsolete by 2030, largely because of AI. The skill demands of 2030 cannot be predicted with any certainty right now, because AI transformation is both radically quick and profoundly uncertain. As models improve, work that required a person last year may not require one next year, while entirely new tasks will appear around the technology. The result is that the skills a job requires, the shape of the job itself, and the value of its outputs are all moving targets.
HR leaders are becoming workforce architects
What Atlassian, Moderna, and Lumen realized is that the people function must be fundamentally reimagined. When jobs stop being stable containers for work, the organization needs someone who can constantly redesign how work gets split between humans and machines. That person needs deep knowledge of the workforce - its skills, its development paths, its cost structures - and enough authority to reshape it in real time. The CHRO already owns the systems that hire, pay, develop, and measure people. Adding AI enablement to that charter is a structural answer to a structural problem.
This shift has practical implications for HR professionals who are not yet in the C-suite. The skills that got someone promoted in HR five years ago - compliance expertise, benefits administration, employee relations - are not the skills that will matter most when the CHRO is also the AI transformation lead. Understanding how work decomposes into tasks, how to assess which tasks AI can and cannot do, and how to redesign roles around that assessment is becoming core to the function. For CHROs stepping into this expanded role, an AI Learning Path for CHROs can provide the frameworks needed to lead workforce redesign at scale. VPs of HR who want to be ready for what comes next can build the same capabilities through an AI Learning Path for VPs of Human Resources.
Why this matters for HR professionals
The signal from Atlassian, Moderna, and Lumen is clear: the CHRO role is absorbing AI transformation because no other function is better positioned to solve the workforce redesign problem. For HR professionals at every level, this changes the career trajectory. Competence in traditional HR operations will become table stakes. The differentiator will be the ability to decompose jobs into tasks, evaluate which tasks AI can handle, and redesign roles that make humans more valuable, not less. The people who can do that work will be the ones building the org charts of the next decade.
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