AI isn’t a substitute for human skills. It’s a multiplier.

AI isn’t a substitute for human skills. It’s a multiplier.

As Michael Fenlon, Executive Director of Harvard Online and former Chief People Officer of PwC, puts it, in an age of AI, “nobody in an organization is paid to be average.” Technical skills are now table stakes; what differentiates individuals and organizations is the ability to turn AI capability into business impact.

AI can generate options; humans still must decide what problems are worth solving. Companies need leadership—not automation.

Why the AI ROI is lagging: the ambition–capability gap

Many companies’ AI journeys follow a similar arc: declaring an “AI or digital transformation” strategy, conducting isolated experiments, and then struggling to see productivity changes.

The missing ingredient is often collective capability. Instead of one-off technical training, what’s needed is for managers and teams to learn together how to:

• Redesign workflows from an “AI-first” perspective, not just add tools to old processes
• Use agentic AI to orchestrate complex tasks end-to-end
• Combine data science literacy with ethical and strategic judgment
• Practice decision-making, influence, and collaboration in a world where information is abundant but attention and trust are scarce

That combination of technical understanding and human power skills is where Harvard Online has focused its course design.

A distinct vantage point: Harvard’s cross-disciplinary approach to AI

Harvard Online was created to do something that’s still rare in digital learning: unite world-class expertise from across the university into coherent learning experiences for working professionals and organizations.

Instead of offering isolated technical modules, Harvard Online designs programs that integrate:

• Technical foundations of AI and data science
• Ethical and legal analysis of how technologies are built and deployed
• Leadership, communication, and decision-making skills
• Real-world cases from business, government, and civil society

Importantly, Harvard faculty aren’t biased when it comes to specific AI platforms. Their work is grounded in independent scholarship and evidence, not in promoting a commercial product. That independence matters as organizations grapple with issues like privacy and long-term workforce impact.

For business leaders, this makes Harvard Online less a vendor of tools and more a partner in building durable capability.

From AI concept to business capability: courses that connect the dots

Harvard Online offers a portfolio of courses and learning paths tailored to the questions organizations are grappling with right now. A few examples illustrate how the pieces fit together.

1. Building an AI and data foundation: Data Science and AI Principles

Many managers know AI is important, but not how it actually works—or what it can and can’t do.

Data Science and AI Principles is designed to help non-specialists understand the core ideas behind modern data science and AI so they can ask better questions, spot limitations, and make more informed decisions about investments and risks.

Participants learn how data is collected, modeled, and interpreted—and how bias and misuse can creep in at every stage. That foundation is essential for any executive signing off on AI projects or interpreting model outputs.

2. Turning insight into action: Make Better Decisions

Even the best analytics are useless if decision processes are flawed.

The Make Better Decisions series, developed by Professor Mahzarin Banaji, helps leaders and teams recognize how unconscious bias and cognitive shortcuts shape their judgments, collaborations, and culture.

Participants learn science-based methods to:

• Spot patterns of bias in hiring, promotion, and resource allocation
• Design decision processes that reduce blind spots
• Create environments where diverse perspectives can be voiced and weighed constructively

In an AI context, this is critical. Models trained on historical data can reproduce and amplify human biases. Leaders must be equipped to question outputs, examine underlying data, and ensure that “data-driven” does not mean “bias-blind.”

3. Innovating, not just experimenting: Innovation Strategy: Tools and Frameworks for Business

To move beyond pilots, organizations need people who can systematically turn AI possibilities into viable products, services, and processes.

Innovation Strategy: Tools and Frameworks for Business focuses on exactly that. Taught by experts from Harvard’s School of Engineering and Applied Sciences, the course teaches participants to:

• Use design research to uncover real customer and user needs
• Apply structured ideation and brainstorming techniques, including using generative AI as an ideation partner
• Prototype and test solutions to de-risk ideas before large investments
• Build business models and go-to-market strategies that capture value

For leaders frustrated by “hype without impact,” this kind of structured innovation capability—layered on top of AI tools—is often the missing link.

4. Managing real-world risks: Data Privacy and Technology

As organizations collect more data and deploy more AI, questions of privacy, consent, and regulation are no longer theoretical.

Data Privacy and Technology helps decision-makers navigate the trade-offs between personalization, growth, security, and individual rights. Participants examine real-world cases and explore: 

• Where the line lies between legitimate data use and overreach
• How global privacy regulations affect business models
• How to anticipate emerging risks such as algorithmic bias and deepfakes
• How to participate confidently in conversations with legal, compliance, and technical teams

For any business deploying AI at scale, this isn’t optional; it’s a core strategic competence.

5. Leading in complexity: Adaptive Leadership and other power-skills courses

Technological change creates not just technical challenges, but adaptive ones: shifts in culture, roles, norms, and power.

Harvard’s long-running work on Adaptive Leadership, now available online as Adaptive Leadership: Practical Strategies for Change, equips leaders to diagnose complex challenges, orchestrate constructive conflict, and mobilize people to tackle problems that don’t have clear, technical solutions.

Complementing this, Harvard Online has developed a suite of short Power Skills courses—on topics such as disagreeing productively, building resilience, persuasive communication, and tech ethics—that help employees at all levels show up more effectively in AI-enabled workplaces.

For organizations, these aren’t “nice to have.” They are exactly the skills that unlock the value of any AI investment.

6. Sector-specific applications: Digital Health: AI and Emerging Technologies in Health Care

In highly regulated industries, AI adoption is particularly complex.

In health care, for example, Digital Health: AI and Emerging Technologies in Health Care explores how AI-driven tools, from ambient listening to predictive analytics, are reshaping clinical workflows, population health, and patient experience. Participants learn to evaluate which tools truly improve outcomes, how to implement them responsibly, and how to navigate change management in clinical settings. 

Similar domain-specific offerings across Harvard Online’s portfolio help leaders connect general AI principles to the realities of their sector.

From off-the-shelf content to tailored learning paths

A common concern among corporate buyers is that university-branded online courses are static and inflexible: excellent content, but not easily tailored to a company’s context.

Harvard Online was designed with organizations in mind. In addition to individual enrollment, its offering for organizations works with employers to: 

• Curate learning paths that blend technical AI, data literacy, and power skills
• Sequence programs for specific audiences: rising managers, senior leaders, functional teams
• Integrate live touchpoints and discussion where appropriate
• Align cases and assignments with the organization’s context and strategic priorities

Because Harvard Online draws on faculty and research from across the university, it can bring multiple vantage points to bear on a client’s challenges—business, policy, ethics, technology—rather than offering a narrow, vendor-driven view of AI.

⁠Using AI to build the workforce you need next

In a labor market where mobility is limited and anxiety about the future is high, employees are asking a simple question: “How do I stay relevant?” The answer is unlikely to be a single tool or credential. It is a portfolio of capabilities. 

Harvard Online’s mission is to extend Harvard’s teaching and research to learners and organizations around the world through flexible, expert-led online programs. For businesses serious about turning AI from hype into impact, that combination of rigor, independence, and expertise offers a compelling path forward. 

If your organization is ready to move beyond experimentation and build the human capabilities that make AI truly transformative, Harvard Online’s team can work with you to design learning solutions tailored to your people, your workflows, and your strategy.