Life sciences employers are moving past the experimental phase of AI adoption in talent functions and asking harder questions about how artificial intelligence reshapes recruiting, workforce planning, and the role of HR itself. The shift was evident in conversations at recent LEAP HR: Life Sciences conferences, where earlier discussions about tool setup and workflow automation have given way to more strategic debates about organizational design and human judgment.
"The most important starting point is the business problem we are trying to solve, along with how TA creates value by enabling better, faster talent decisions," said Grace Niwa, vice president of global talent acquisition, talent intelligence and early career at Vertex Pharmaceuticals.
Kosta Kleitsas, head of people at Dyno Therapeutics, echoed that view. "Start with the work problem and desired outcome, then rethink the workflow from first principles," he said. "Don't simply insert AI into a process designed before these capabilities existed."
From process management to talent intelligence
At Vertex, the goal is to strip administrative work out of recruiting and rebuild the function around talent intelligence. Niwa said AI can handle sourcing, talent mapping, screening, candidate matching, scheduling, and engagement. That frees recruiters to spend time influencing hiring decisions and building relationships with candidates and hiring managers.
The concern about losing human touch in hiring persists on both sides of the process. But the current conversation focuses less on raw automation and more on how to deploy human judgment where it matters most. "AI brings the intelligence and scale, while people bring judgment and relationships," Niwa said.
The future recruiter, in this framing, operates as a strategic advisor rather than a transactional coordinator. That is a meaningful departure from how talent acquisition has traditionally been staffed and measured.
Rethinking workforce design
AI's analytical capabilities are also pushing employers to reconsider how work itself is structured. Kleitsas called it "fundamentally an organizational design question." Companies are deciding which tasks stay human-led, where AI can operate autonomously, how decision rights get distributed, and how teams work alongside AI systems.
This has implications for workforce planning. "Instead of only asking, 'Who can fill this job?' we can start asking, 'What capabilities will the business or function need next?'" Niwa said. AI can track internal and external talent movement, monitor labor markets, and anticipate future capability gaps, connecting workforce planning more directly to business strategy.
The shift has also changed how HR functions operate internally. Rather than retrofitting AI tools onto existing processes, HR teams are working with leadership to evaluate and design work around desired outcomes from the start. For HR leaders looking to build these capabilities, AI for Human Resources training programs have emerged as a practical entry point.
The expanding HR mandate
The boundaries between traditional HR and technology functions are blurring. "We're seeing more CPOs and CHROs play a leading role in AI transformation," Kleitsas said. He also sees a larger opportunity for HR business partners, who can now "truly partner with business leaders to drive higher performance" by helping redesign roles and workflows, not just managing skills and change.
For chief human resources officers taking on AI transformation responsibilities, structured development paths such as the AI Learning Path for CHROs can provide a framework for building the necessary expertise.
Kleitsas recommends designing for where AI is heading, not just what it can do today. Capabilities are advancing fast enough that it makes sense to define the ideal workflow first and phase it in as the technology catches up. "Have fun and treat implementation as iterative," he said. "Involve the people closest to the work, test new approaches, measure whether performance improves and adapt based on what you learn."
Why this matters for HR professionals
The employers making the most progress with AI in people functions are not chasing tool adoption metrics. They are redefining recruiter roles, restructuring how work gets designed, and positioning HR leaders as architects of AI transformation. For HR professionals, the practical implication is clear: competence in AI strategy is becoming a core requirement, not a specialization. Those who can connect AI capabilities to business problems and organizational design will be positioned for roles that did not exist five years ago.
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