5 Leadership Steps for a New Era of Work

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Jonathan Reichental, Adjunct Professor, University of San Francisco

Through this article, Jonathan Reichental, Ph.D., explores how leaders can prepare for the cognitive industrial revolution—a new era driven by AI, robotics, and automation. He outlines five essential leadership steps to help organizations navigate uncertainty, foster innovation, and build resilient, future-ready strategies for the intelligence age.

The cognitive industrial revolution is already reshaping our world—strategically, technically, and socially. For leaders, responding effectively to AI and automation requires a bold and forward-looking plan.

Leadership often hinges on the wisdom to make the hardest choices. As this new era unfolds, doing nothing to reposition your organization may be the riskiest move of all. Yet choosing what to prioritize isn’t simple either.

So what should a leader do right now to plan for a future powered by thinking machines?

The Cognitive Industrial Revolution Arrives

The cognitive industrial revolution builds on centuries of extraordinary innovation that has created the modern age. Sometimes referred to as the fifth industrial revolution, Industry 5.0, or the intelligence age, it centers on the rapid advancement of artificial intelligence, robotics, and advanced automation.

Like every previous revolution, preparing for this one requires envisioning the future while managing uncertainty.

Many of the things leaders expect to happen won’t—and many others will unfold in completely unexpected ways. Management will need to throw plenty of darts and hope a few land near the center of the board. Throwing none is not an option.

Lessons from the still-unfolding Fourth Industrial Revolution can help. For instance, a hyper-connected world creates more points of vulnerability to cyberattacks. Cybersecurity and privacy must therefore receive strong attention.

Whether you’re only now learning about the cognitive industrial revolution or have been preparing for it for some time, the question remains: what should you do next?

Recognizing that the options are vast and will differ by sector and organization, here are five practical steps every leader can take to begin preparing for the transformative years ahead.

1. Create a Vision for a New Future

How will your enterprise operate and thrive in a world driven by intelligent systems? Do you foresee making only minor adjustments—or is it clear that more fundamental change is required?

Let’s be realistic: your organization won’t remain the same. Products and services will evolve, customer behaviors and expectations will shift dramatically, and your methods of production will be redefined.

 Doing nothing to reposition your organization may be the riskiest move of all in an age defined by intelligent machines. 

You’ll need a new plan for the future—one that starts with re-examining your vision and strategy.

This begins with understanding what emerging cognitive technologies can do and exploring scenarios in which they could reshape your industry.

Don’t treat this as a one-time exercise. You’ll need expertise to continually track advances in technology, with the agility to update your strategy more frequently than before.

2. Foster a Culture of Continuous Learning

Not long ago, people learned a skill—through school, apprenticeship, or experience—and applied it for decades. Those days are gone.

In today’s world, skills must evolve constantly. Individuals must embrace lifelong learning, and organizations must cultivate a culture that enables employees to acquire new capabilities more quickly than ever.

Relying on outdated tools and training will stop progress in its tracks. Everyone—from leadership to frontline staff—must become comfortable learning new technologies quickly and, at times, be ready to move into entirely different roles.

3. Commit to Ongoing Experimentation

Plan for continuous, bold experimentation. Innovation thrives when new ideas are regularly tested to gauge feasibility, identify risks, and gather feedback before large-scale implementation.

Failure will be part of the process—and that’s healthy. A lack of failure might mean your ideas aren’t ambitious enough.

Partnerships can accelerate learning here. Collaborate with startups, universities, and innovation labs. Take quantum computing, for example—its potential for quantum machine learning may open new opportunities best explored through joint ventures rather than solo efforts.

4. Develop a Future-Ready Talent Strategy

A plan is only as strong as the people who execute it. That means developing a talent strategy capable of meeting the demands of this new era.

Retrain motivated employees and attract new talent with emerging expertise. And while it might sound like science fiction, humanoid robots will soon become routine members of many teams. How will you prepare for that reality?

With roles and priorities shifting because of AI, now is the time to review your entire organizational structure—and ensure it aligns with your updated vision and strategy.

5. Strengthen Data and AI Governance

As AI adoption accelerates, your organization’s data foundation must be ready. That includes improving data quality, ensuring proper access controls, maintaining a robust data catalog, and prioritizing privacy and security. In short, get your data governance in order.

It’s also worth asking: does your organization truly have a data-driven culture?

Beyond data, implement AI governance—policies and frameworks that ensure AI systems are designed, used, and managed responsibly, ethically, and safely.

Building a Plan for a World That Doesn’t Yet Exist

Innovation requires envisioning a world that doesn’t yet exist. We build for tomorrow, not yesterday.

In these early years of the cognitive industrial revolution, uncertainty far outweighs what we know. This makes leadership decisions challenging—but doing something, even imperfectly, is far better than doing nothing.

To be ready, leaders must:

• Continually refine their vision and strategy

• Embrace lifelong learning

• Foster experimentation

• Evolve their talent strategy

• Mature their data and AI governance programs

Focusing on these areas gives direction amid the unpredictability of this new age. Even an imperfect north star is better than drifting without one.