Artificial intelligence (AI) is no longer an emerging concept reserved for science-fiction films; it has become a central force that reshapes how organizations recruit, manage, and develop talent. In October 2025, a McKinsey survey found that more than three-quarters of organizations use AI in at least one business function. Boards are redesigning workflows around AI because they see the biggest impact on earnings when technology is woven directly into decision making. Yet for human-resource (HR) leaders and board advisors, this technological wave raises deeper questions about ethics, culture, and the role of human judgment. Laith Saud—founder of the thought-leadership platform Human After, board advisor, and public intellectual—argues that AI should not be framed merely as a productivity tool. Instead, he views AI as a relationship that will mediate every interaction in the workplace. This article explores Saud’s insights and synthesizes research to show how boards and HR teams can harness AI to enhance productivity while safeguarding human-centric values.
Who is Laith Saud?
Laith Saud is a professor of political science turned leadership advisor. He founded Human After, a platform that offers succinct insights on HR and AI to board directors and executives. Saud’s philosophy blends social science, philosophy, and organizational behavior. He contends that AI’s integration is not just a technical upgrade; it is a civilizational shift. This conviction is reflected in articles across multiple business publications, where he argues that AI is a relationship that mediates the bond between employer and employee. By treating AI as a relational mediator, Saud positions HR leaders as interpreters of tomorrow’s workforce and insists that boards need advisors who can translate AI’s human implications. Human After provides frameworks and checklists to help leaders understand AI’s impact on talent strategy, culture, and board governance.
AI as a Relationship, Not Just a Tool
In Saud’s view, executives make a category error when they treat AI solely as a productivity tool. He argues that AI will mediate every layer of the employer-employee relationship—from recruitment and evaluation to performance management and culture. Instead of simply automating tasks, intelligent systems will interpret human behavior, predict outcomes, and influence decisions. This mediating role demands ethical and cultural oversight. Human Resources departments, he contends, are uniquely positioned to govern this new relationship. Other functions such as legal or IT may set boundaries and build infrastructure, but HR professionals have long been guardians of culture and interpreters of human motivation. AI amplifies these responsibilities rather than replaces them.
Saud’s emphasis on relationships resonates with broader research. AI should not be treated merely as a productivity instrument because such framing diminishes HR’s strategic influence. It explains that algorithmic outputs influence hiring decisions, performance evaluations, and workplace culture. When AI mediates these interactions, the relationship between humans and machines becomes the core of organizational life. HR leaders who grasp this relational view can design policies that align with organizational values and ensure fairness, accountability, and transparency.
HR’s Strategic Role in AI Adoption and Board Strategy
AI’s integration across the enterprise elevates HR from a compliance function to a strategic discipline. Boards no longer seek custodians of yesterday’s workforce; they want interpreters of tomorrow’s talent. According to Saud, board advisors must articulate AI’s implications not as a technology story but as a human story. HR executives are ideally positioned to translate how intelligent systems reshape values, structures, and trust. If HR fails to claim ownership of AI integration, other departments—often legal or operations—will define AI parameters through narrow lenses of compliance and efficiency.
Four Agendas for CHROs at the Board Level
An article identifies four agendas that CHROs should champion at the board level:
- People strategy and risk: The CHRO must help the board understand the employer brand, talent market positioning, and risks arising from AI-driven changes to work, remote-work complexities, and socio-political unrest.
- Talent, skills, and sustainability: HR leaders must inform the board about approaches to sustainability, attraction, and retention of critical skills. The rise of AI means organizations must continuously develop digital competencies and address skills gaps.
- Culture, engagement, and productivity: The CHRO clarifies the desired organizational culture and employee engagement, showing the board how specific HR initiatives drive productivity.
- Workforce diversity: HR promotes diversity and inclusion, ensuring the board understands workforce dynamics beyond demographic data.
These agendas underscore why HR belongs in the boardroom. A survey found that 93 percent of 200 surveyed CHROs regularly attend board meetings and 81 percent are involved in CEO succession. The growing board presence reflects how AI transforms the employer-employee contract and how CHROs can guide boards through the change.
Data and Trends: The Future of HR Jobs and AI Integration
AI’s promise lies in automating routine tasks to free HR professionals for more strategic work. AI agents—software entities that reason, plan, and work collaboratively—are shifting HR from a defensive to an offensive function. AI agents can draft job posts, screen candidates, and schedule interviews, saving recruiters up to 70% of sourcing time. The report found that agentic AI reduces human effort by 40–50%, and more than half of advisory tasks and 60% of functional HR tasks could be agent-assisted or agent-driven. Administrative workflows are even more susceptible: 88% could be automated. These statistics suggest that AI will dramatically reduce the time HR spends on low-value activities, enabling professionals to focus on talent forecasting, leadership development, and organizational culture.
Generative AI is another transformative technology. Research points out that 58% of employers planned to use generative AI in HR as of June 2024 and 76% expected it to boost efficiency. Generative AI democratizes knowledge and creativity, providing recommendations and predictive analyses that support innovation and problem-solving. For example, generative models can streamline tasks of HR business partners by reducing time spent on talent management, project management, and employee support, allowing them to focus on high-value work.
Despite automation’s benefits, human judgment remains indispensable. AI systems can inadvertently perpetuate bias if trained on discriminatory data. Human oversight is essential to ensure fairness and cultural fit. Employees also fear judgment and replacement if they use AI secretly, underscoring the need for trust and clear policies.
Board-Level Perspectives: Governance and Strategy
Board oversight of AI is becoming a critical governance issue. Boards must align with management on a formal AI adoption plan, ensure the strategy drives value creation, and require responsible AI practices. The guidance lists six areas where boards can provide effective oversight: developing a clear oversight approach, aligning on strategy, ensuring talent and culture considerations are prioritized, overseeing risk management, ensuring ethical use of data, and evaluating long-term implications.
A survey echoes these priorities. Directors view productivity and cost savings as the top benefits of generative AI. However, many companies are still scaling their AI initiatives, and directors identify talent and culture, data quality, security, and compliance as major hurdles. Adoption of recognized AI governance frameworks remains limited. These findings reinforce Saud’s argument that HR leaders who can interpret AI’s human implications will be invaluable in boardrooms.
Laith Saud’s AI Readiness Checklist for HR Leaders
Building on Saud’s philosophy and research, multiple publications synthesize an AI readiness checklist for HR leaders and board advisors. Below is a concise adaptation of this checklist:
- Embrace AI as a Relationship: Shift the mindset to recognize AI as a mediator of relationships rather than a mere tool.
- Claim Ownership and Define Purpose: HR must claim ownership of AI strategies instead of waiting for legal or operations to define the parameters.
- Cultivate a Learning Culture: Promote AI literacy by training HR professionals in data literacy, algorithmic bias, and prompt design.
- Build Robust Governance and Ethics: Establish policies for data privacy, transparency, accountability, and risk management.
- Integrate Technology Strategically: Adopt AI tools only when they solve specific HR problems.
- Develop New Competencies: Expand the HR skill set to include data analysis, machine-learning literacy, and the ability to interpret algorithmic outputs.
Implications for Productivity and Board Strategy
Adopting AI through the lens of relationships has far-reaching implications for productivity and board strategy. When AI automates repetitive tasks—drafting job descriptions, screening resumes, scheduling interviews, and managing administrative workflows—it liberates HR professionals to focus on strategic priorities. Boards that view AI solely as a cost-savings mechanism risk missing this opportunity. Productivity gains come not just from automation but from the reallocation of human effort toward higher-value activities like leadership development, culture building, and ethical governance.
Boards should therefore integrate AI into their strategic planning with human capital at the center. They must demand that management link AI initiatives to organizational values and culture, not just to financial metrics. By insisting on clear AI governance frameworks and ensuring HR leaders have a seat at the table, boards can harness AI’s productivity benefits while mitigating risks. This approach aligns with recommendations for full board oversight of AI transformation, prioritizing talent and culture considerations alongside technology and data.
Conclusion
LaithSaud central insight—that AI is a relationship mediating every workplace interaction—invites HR leaders and boards to rethink how they approach technology, productivity, and governance. Treating AI as a mere tool narrows its potential and relegates HR to compliance duties. Viewing AI as a relational mediator elevates HR to a strategic role in shaping culture, ethics, and the future of work. Saud’s AI readiness checklist provides a roadmap for HR and board leaders to embrace this shift: claim ownership, foster learning, build robust governance, integrate technology strategically, and develop new competencies. With these principles, organizations can harness AI’s productivity gains while safeguarding human dignity and ensuring that technology serves people—not the other way around.