Frequent headlines continue to share what many employees already sense: Organizations are trading headcount for computers. Oracle recently cut 21,000 jobs amid what analysts are calling a “SaaS apocalypse,” redirecting that capital toward artificial intelligence (AI) infrastructure. In many organizations, the message from the top is clear. Move faster and automate aggressively to get to the front of the race.

I understand the pressure. I have worked alongside executives navigating the impossible tension between quarterly expectations and long-term vision. But as we move through 2026, one function has the tools, the mandate and the opportunity to change how this transition unfolds — learning and development (L&D).

L&D leaders are tasked with helping employees build the skills and capabilities they need to succeed and grow within the organization. They have long been the gatekeepers of training, leadership development, coaching and talent-building initiatives that strengthen performance and prepare the workforce for future business needs. The problem is that most organizations are not tapping into the value that the L&D function can bring to lead AI transformation. Leaders are not being equipped to support the human capacity to move people through uncertainty, and L&D is not being given the seat at the table it needs to build organizational AI capabilities, especially during this extraordinary period of technological disruption.

Too many L&D professionals are being asked to build programs without a roadmap. Organizations hand them a charge to show results and support AI adoption, but without the enterprise strategy or budget to do it at scale. When companies treat AI as a technical hurdle rather than a cultural one, they bring L&D in too late, with narrow parameters and without the authority to address the gap in adoption. How AI is adopted and implemented is equally important as the business case for why an organization is leveraging AI in the first place. The L&D function is best positioned to make that case and drive real organizational change and adoption.

The Productivity Paradox of 2026

We are currently witnessing a “productivity paradox.” While individual employees are using AI to work faster, burnout and organizational productivity are being impacted at the same time. Employee burnout is now becoming more prevalent especially with top performers who are being tasked with leading the charge in AI adoption. This disconnect exists because organizations are not focused on building foundational AI skills and capabilities for every employee. It is this foundation that L&D is designed to build and transform.

The Capabilities You Can’t Automate Away

Too many leaders treat the employee experience as a casualty of innovation rather than a condition for it. The skills AI cannot replicate are not abstract. They are uniquely human skills: emotional intelligence (EQ), curiosity, collaboration, institutional knowledge and judgment-at-scale that allows a team to push past the obvious answer. When organizations move too fast, they eliminate the very human infrastructure AI runs on.

I was speaking recently with a physician leader at a major healthcare organization who described what happened after they deployed agentic AI to handle clinical documentation. Doctors could finally focus entirely on the patient without interruption and thereby significantly increase patient connectivity. Satisfaction scores rose. Physicians reported being able to read a patient’s emotional state in ways they previously couldn’t because they had been too consumed with data entry. The AI heightened the human connection rather than eliminating it.

That outcome happened because that organization was clear from the beginning about the problem they were trying to solve and what role human engagement played in it. L&D functions need to be doing exactly this kind of future-focused strategic planning, helping leaders identify not just where AI can thoughtfully automate, but what gets protected and why.

The New Currency L&D Needs to Build

L&D professionals of the past knew one function well and stayed there. AI broadens that aperture and places a need on more strategic insights that support the future of work. L&D leaders who will thrive will be those with the learning agility to move across functions, who understand how to connect insights, optimize across systems and maintain the relationships that allow organizations to actually use AI well. That connectivity and cross-functional fluency will be one of the primary currencies in an AI-driven organization. It is also core to L&D’s value proposition in organizations.

It begins with building a skills and capability roadmap that identifies what every employee needs to know about AI at a foundational level. Then, layering in more sophisticated applications based upon function and role. As AI automates more transactional work, people’s core responsibilities will evolve. L&D has an extraordinary opportunity to influence this shift by identifying transferable skills, architecting future roles and helping employees understand how their subject matter expertise and cross-functional relationships can become more valuable as a result.

The L&D professionals who are leading this charge are the ones who take it upon themselves to understand the technology and build strong AI fluency and knowledge. They are also the ones advocating loudly for an enterprise roadmap that treats capability–building as a strategic asset rather than a cost center.

A Direct Challenge to Leaders and L&D Professionals Alike

Before your next AI initiative, conduct an honest cultural audit. Map the human capabilities your organization depends on that AI cannot replicate. Don’t wait to bring people into the process until the decision is already made. And if you work in L&D, do not wait for the enterprise strategy to come to you. Build the skills roadmap now, identify the foundational capabilities every employee needs and define what the new roles look like before people are displaced into uncertainty.

Consider:

• The Trust Tax. Are we accounting for the loss of engagement when we move in isolation?
• The Capability Roadmap. Have we built a skills map that goes beyond the areas already funded to what every employee and every function will need?
• The Transition Roadmap. Are we creating pathways for transferable skills, whether those paths lead inside or outside of the organization?
• The 24-Month Litmus Test. Will we have the human judgment needed to course-correct if and when the technology underperforms or needs to be redirected?

In the future, organizations that bring their people along as partners and co-creators in AI transformation will have a real edge. They will have L&D functions that built enterprise-wide AI fluency before it became urgent, defined the new roles before the old ones disappeared and made the case — early and repeatedly — that human capability is not a cost to be managed. It is the condition under which everything else works.