HR must disrupt itself first or become irrelevant in the AI era

WE’VE heard the warnings for years. Artificial intelligence is coming for jobs. Entire functions will vanish. Offices will empty while algorithms hum in the background.

The fear-mongering is loud, the optimism louder: upskill, reskill, rethink how we work. Conferences fill with slides promising a brighter, more productive future.

Yet for all the talk, one uncomfortable truth remains: AI is still overwhelmingly a technology agenda. It is conceived in engineering rooms, funded by chief technology officer budgets, and deployed by teams chasing the next platform or productivity metric.

And where is the human resources department in this story?

Too often, they appear late, if at all. They show up when it’s time to hire the AI specialists, to “manage change” after the rollout, or to build those glossy e-learning modules that tick the compliance box.

They are rarely at the table when the strategy is born. They are not shaping the narrative that this transformation must be talent-first and human-centric from day one.

This has to change. And the change must start with HR practitioners, before it is forced upon them.

Technology is the easy part. The algorithms will keep improving whether HR is involved or not. But the human experience of that technology will not improve on its own. Questions about what AI means for dignity at work, for purpose, for growth, for the very definition of a career fall under HR’s domain. Or at least they should.

Yet many HR practitioners still operate as administrators and order-takers.

They process the consequences of someone else’s decisions. They optimise headcount after the automation wave hits. They communicate the “why” behind decisions they didn’t help shape. This is no longer tenable.

In an AI-driven world, the most strategic business decisions are “people decisions”: which capabilities to protect, which roles to reinvent, how to redesign work so that humans and machines truly augment rather than replace each other.

These decisions cannot be left solely to technologists who, by training and incentive, optimise for capability and cost rather than for human potential.

Architect, not victim

HR practitioners need to be disrupted first.

No longer “just” the department that handles the “people stuff”. No longer the reactive function that waits for the business case to land on the desk.

HR practitioners must step into accountability for the human side of transformation with the same urgency and ownership that chief financial officers bring to capital allocation or chief technology officers bring to architecture.

Show up at the beginning, not the end, of AI initiatives. Insist that every major AI deployment includes a rigorous talent impact assessment alongside the technical one.

Build internal playbooks that ask hard questions: How does this tool change the lived experience of work? What new skills become non-negotiable? How do we protect psychological safety when uncertainty spikes?

Treat workforce strategy as the primary driver of technology investment, not the afterthought.

A few organisations are already proving it’s possible. At Zapier, leaders made AI fluency a strategic priority integrated into planning, hiring and performance, achieving 97 per cent employee adoption in under two years while focusing on high-value work. That kind of outcome doesn’t happen when HR arrives late.

HR leaders who want relevance in the next decade cannot wait for an invitation to the strategy table. They must earn their seat by demonstrating that they understand AI not as a threat to manage but as the most powerful lever they have ever had to reimagine human work.

This requires courage: to challenge sacred processes, to learn the language of prompt engineering and machine learning ethics as fluently as they know compensation bands and performance ratings, and to hold themselves accountable when people outcomes fall short.

If HR doesn’t lead this shift, someone else will. And the future of work will be designed by those who see humans as inputs rather than as the reason the entire system exists.

The AI conversation has had enough manifestos. What it desperately needs now is HR practitioners willing to stop talking about transformation and start owning it – boldly, visibly and unapologetically human-first.

The writer is a senior industry expert with over two decades in data science and AI