Merging HR and IT for the AI Age: The Moderna Case and Beyond
The surge of new AI tools and systems has pushed companies to reassess how their organizations operate. While executives have invested heavily in AI pilots to improve productivity, many initiatives have struggled to deliver sustained value. The lesson emerging from this frustration is simple: break traditional silos and reimagine how human teams and digital systems work together.
One bold experiment pointing the way is Moderna’s recent decision to merge its technology (IT) and HR departments under a single leader, explicitly aimed at creating an organization “tailor-made” for the AI age.
This move, along with similar trends in other companies, offers valuable insights into how aligning people strategy with technology can unlock AI’s potential and what challenges lie in the journey.
Moderna’s Bold Experiment: Blending People and Tech Under One Leader
In 2025, biotech innovator Moderna made headlines by combining its Human Resources and Information Technology functions into one unified department under a new C-suite role: the Chief People and Digital Technology Officer.
Tracey Franklin, Moderna’s former CHRO, was appointed to this role after the company’s CIO departed, effectively making her responsible for both the people strategy and the digital infrastructure of the enterprise.
This restructuring was a deliberate response to the company’s AI-driven strategic vision. Moderna’s CEO, Stéphane Bancel, recognized AI’s growing impact on work and organizational design, and he seized the opportunity to “reimagine how Moderna’s tech and its people interface," according to one account.
Now, what does this merging of HR and IT aim to achieve?
To align workforce planning with technology investments and fully leverage AI across the business.
According to The Wall Street Journal, Moderna has partnered extensively with OpenAI and has deployed over 3,000 custom GPT-based AI agents internally. These range from AI tools accelerating scientific research to a “virtual HR agent” handling routine HR inquiries and tasks, automating entry-level HR work. By uniting the tech and people teams, the company can determine which work is best performed by machines and which requires humans, then evolve roles accordingly. Franklin describes this shift as moving from traditional “workforce planning” to “work planning”.
Moderna’s integrated People & Digital Technology team is thus tasked with rearchitecting how work gets done in an AI-augmented organization, deciding in a holistic way how human talent and AI systems collaborate.
Benefits of Aligning Tech with Talent Strategy
Merging HR and IT is an unconventional move, yet it proves to be advantageous in an AI-first environment. By knitting people and technology functions, organizations like Moderna seek to create a more agile, integrated approach to deploying AI at scale.
Potential benefits include:
- Operational Efficiency & Shared Services – Both HR and IT oversee large-scale, process-heavy services (think onboarding, employee data management, system access, support tickets). Combining them under one umbrella can streamline operations, eliminate duplicate efforts, and speed up service delivery. For example, a single team can onboard a new employee and provision their IT access in one coordinated workflow, improving the new hire experience, and reducing handoffs.
- Holistic Workforce Architecture – A unified people-tech function enables leaders to design work more holistically, aligning human skills with software, AI, and automation tools. Moderna explicitly is “reframing workforce planning around workflows” – segmenting which tasks technology should handle and where humans add irreplaceable value. This tight alignment makes it easier to embed AI into jobs while adjusting roles and processes so that employees and AI complement each other.
- Tighter Strategy and Innovation Alignment – When HR (people strategy) and IT (tech enablement) co-own transformation, organizations can adapt more effectively to new tools and evolving business needs. HR focuses on people-centric elements such as culture, skills, and change management, while IT provides the technical tools. This integrated approach accelerates innovation.
These advantages illustrate why 64% of IT leaders in a recent survey said they expect HR and IT to merge within five years. AI is blurring the lines.
NVIDIA’s CEO Jensen Huang has mused, “the IT department of every company is going to be the HR department of AI agents in the future”. In other words, as AI “colleagues” join the workforce, technology management becomes workforce management, demanding clear vision and leadership.
Challenges and Cautions of Merging People and Tech Functions
Moderna’s experiment is “bold and unprecedented,” but even its architects acknowledge it may not be the perfect approach for all. Organizations must weigh several risks and trade-offs:
- Conflicting Cultures and Skill Sets – HR and IT historically have different mindsets and metrics for success. IT values efficiency, standardization, and technical robustness; HR prioritizes culture, human development, and empathy. Merging them can create a clash of cultures. If the unified department is led by someone stronger in one domain (as in Moderna’s case, an HR veteran), the other domain might get overshadowed or undervalued. There’s also the risk of diluting specialist expertise. Merging two distinct professional fields can mean losing the depth of knowledge that each separately held. An all-in-one leader might struggle to stay on top of both the latest tech architecture and the nuances of talent strategy.
- Over-Automation & Loss of the Human Touch – Enthusiasm for AI’s efficiency can lead companies to over-rely on automation in human-centered areas; a lingering concern about “cognitive depletion”. That is if employees become too dependent on AI for every task, they may fail to develop critical skills or even let existing skills atrophy. HR’s domain requires empathy, ethical judgment, and understanding of nuance; qualities that AI cannot fully replicate. If HR issues are approached with a pure tech lens, organizations may lose sight of the human experience. In fact, companies that rushed to replace customer service reps with AI have had to backtrack when automated agents failed at the empathy and complex problem-solving that humans provide.
- Unclear Link to Business Value – Perhaps the biggest critique of blending HR and IT is that it does not automatically create business value. Skeptics ask: Where is the impact on revenue, innovation, or competitive advantage? If the new People & Tech team isn’t equipped to translate its efforts into enterprise outcomes, the merger could amount to merely shuffling boxes on an org chart. This is why some argue that HR should be more tightly connected to finance and strategy (workforce outcomes and ROI) rather than just bolted onto IT. Additionally, the emergence of AI “agents” in the workforce raises new questions about roles and metrics.
For example, who is accountable for an algorithm’s performance or an AI-driven process, and how do you evaluate a team that includes both humans and AI agents? Traditional HR metrics don’t easily apply to these hybrid human–AI teams. Organizations will need to invent new KPIs and governance models for a workforce that intermixes people and algorithms.
- Not Easily Replicable – Moderna’s success with this model may depend on unique factors that other companies can’t easily mirror. Firstly, Moderna happened to have an HR leader (Franklin) who also had unusually strong technology acumen and close involvement in the company’s digital initiatives. Most firms do not have a ready-made executive. Secondly, Moderna is operating in an environment of deep, enterprise-wide AI integration that remains the exception, not the norm. Many companies are still early in their AI journeys. For these organizations, a full structural convergence of HR and IT may be premature or even counterproductive. In fact, CIO advisors suggest that in most cases, keeping IT and HR separate but tightly aligned is a safer approach. The two functions absolutely need to collaborate deeply on AI projects, ensuring technical feasibility, ethical considerations, and change management are all addressed.
In short, merging people and tech teams will unlock new capabilities, but only if executed with clarity of purpose, the right talent in charge, and supporting changes in processes and culture. Without those, companies risk falling into the same trap as before, i.e., investing in fancy AI systems without moving the needle on performance because the human element was mishandled.
The experience of Moderna and others serves as both inspiration and caution: it shows what’s possible when you break down silos and highlights the importance of doing so thoughtfully.
Building AI-Age Leadership: The CAiBP® Connection
Whether or not a company chooses to formally merge its HR and IT departments, one thing is clear: success in the AI era depends on leadership and talent that connect technology with human capability.
The case study of Moderna’s transformation underscores the value of having cross-functional, AI-savvy leaders who can navigate both worlds. Moderna’s initiative was feasible only because an executive was in place who understood people, data, and AI strategy in equal measure. This reflects a broader need across industries for what the Artificial Intelligence Board of America (ARTiBA) describes as the AI Business Professional, who operate at the intersection of business strategy and AI-enabled decision-making.
Increasingly, companies are recognizing that AI adoption cannot be left solely to the IT department or a handful of data scientists; it must be integrated into business strategy, talent management, and operational decisions at every level. This is precisely the idea behind ARTiBA’s Chartered AI Business Professional (CAiBP®) credential. The CAiBP® framework defines a new standard for leaders in the AI age, emphasizing a blend of competencies that mirror those needed to drive experiments like Moderna’s.
These include: strategic interpretation of AI opportunities (evaluating where and how AI creates measurable value across business functions), business alignment and value realization (ensuring AI programs connect to organizational priorities and long-term goals), governance, risk, and ethical oversight (responsible AI adoption including compliance, data-use norms, and accountability), and cross-functional influence and decision support (translating AI-driven insights for leadership and guiding decision-making across teams).
Discover how CAiBP® establishes a new global benchmark for business professionals in leadership roles at AI-driven organizations.
Explore CAiBP® Charter
Critically, formalizing this skill set is important. Training programs and on-the-job learning are part of the solution, but companies often struggle to gauge whether their managers truly grasp AI’s implications or know how to leverage it responsibly. The CAiBP® charter addresses this by providing a structured body of knowledge and a globally recognized standard to certify that a leader can interpret AI outputs, align AI initiatives with business strategy, and exercise informed governance across decision cycles.
In other words, it creates a baseline of competence. Those who earn the CAiBP® are validated as having tested understanding of AI in a business context, not just intuition or buzzword-level knowledge.
The implications for enterprises are significant. By cultivating AI-aware business leaders (through programs like CAiBP® or similar development tracks), organizations ensure that there are champions who can connect AI capabilities to measurable outcomes and navigate the human impacts. These leaders can better govern AI projects (balancing innovation with risk and ethics), translate algorithmic insights into competitive strategy, and guide teams through change. For example, an HR leader with CAiBP®-level expertise would be able to assess how a new AI hiring tool aligns with the company’s diversity goals and regulatory responsibilities, working with IT to implement it in a way that augments recruiters rather than undermines fairness. Likewise, a tech leader with business acumen can prioritize AI investments based on where they truly add value to customers or employees, rather than just pursuing tech for tech’s sake. In essence, AI Business Professionals are essential to design and lead initiatives like Moderna’s “People & Digital Technology” integration in a sustainable, value-driving way.
Conclusion
The promise of AI is forcing organizations to rethink old paradigms of structure and leadership. Moderna’s case study exemplifies the bold experiments unfolding as companies strive to become companies that have embedded AI into their core operations. This integrated approach, tailor-made for the AI age, hints at how enterprises can break free from siloed thinking and truly capitalize on AI at scale.
As businesses navigate this journey, frameworks like CAiBP® provide a valuable compass. They help define what “good” looks like for AI-era leaders and establish a pipeline of talent who can lead human–machine teams effectively. Moderna’s experiment may not be perfect, but it has opened the conversation about how to truly organize for the AI age.
In the final analysis, organizations that effectively integrate human judgment with AI capabilities, orchestrated by forward-looking leaders, will distinguish the winners in the new era of work.
