When it comes to Artificial Intelligence, many leaders are dealing with the same uneasy question: Where’s the return on all this AI investment?
According to Dr. Mehdi Nourbakhsh, CEO of YegaTech and author of Augment It and Disrupt It, this disillusionment isn’t a failure of technology; it’s a failure of leadership. “It’s not about building another algorithm,” he says. “It’s about building the capacity in people and the organization to think, experiment, and solve differently”.
AI Is Here
AI has become so embedded in everyday life from inbox filters to scheduling assistants that we barely notice it anymore. Nourbakhsh sees this as progress: “The tools are already here,” he told the Magical Learning podcast. “What leaders must do now is provide the space and environment for their people to learn, experiment, and innovate”.
That shift from excitement to execution represents the most critical leadership inflection point since the digital revolution. Where the last decade was about adopting technology, the next will be about leading with it.
Every Company Is Now a Technology Company
The phrase “every company is a technology company” has become cliché. But Nourbakhsh insists it’s more relevant than ever. The difference now is that artificial intelligence has democratized creation. When he ran an open coding competition at Penn State, he saw the most diverse group of participants ever because, as he put it, “AI lowered the barriers. Everyone could build something of their own.”
That democratization changes how leaders must think about human potential. The next great innovations aren’t going to come only from software engineers. They’ll come from finance analysts automating reports, operations teams designing adaptive workflows, and customer reps building tailored tools for their clients.
“AI doesn’t replace professionals. It amplifies them,” Nourbakhsh wrote. “The future belongs to organizations that use AI to think bigger, not just move faster”.
Build the Organizational Muscle for Everyday Innovation
Most leaders don’t need more technology. They need to build the internal muscle to identify problems worth solving and empower teams to act.
Nourbakhsh compares it to going to the gym: start small, build consistency, and strengthen the right muscles before going heavy. Leaders should help teams:
- Map daily pain points: what tasks are repetitive, draining, or uninspiring
- Encourage “technological thinking,” treating every pain point as a potential process or automation challenge
- Use AI tools to prototype solutions, refine, and share what works
The result isn’t a single breakthrough; it’s a culture of continuous improvement.
Leadership in the Era of Agentic AI
Next-generation “agentic AI” systems are changing the game again. These smart agents don’t just analyze data. They execute tasks, coordinate actions, and continually refine outputs. The role of leadership becomes one of orchestration rather than oversight.
“What we’re heading toward,” says Nourbakhsh, “is an unprecedented time for innovation across all industries. But innovation only happens when leaders create an environment of learning and trust”.
That means flattening hierarchies, redefining decision rights, and making it clear that experimentation isn’t just tolerated. It’s expected.
Three Leadership Shifts for the AI Age
Nourbakhsh identifies three crucial shifts leaders must make to prepare their organizations for the next AI wave:
- From control to curiosity. Build a culture where learning and experimentation are rewarded. Encourage every employee to explore how AI can make their work better and share what they discover. Establish internal “innovation funnels” that let teams pitch, prototype, and scale their ideas.
- From static roles to adaptive talent. Job descriptions from a century ago won’t cut it. “People are using AI in interviews, resumes, and daily work,” says Nourbakhsh. “Leaders must evaluate how creatively candidates use technology, not ban it.”
- From apprenticeships to AI partnerships. The next generation of employees will learn by working alongside AI tools. Leaders must design hybrid workflows where people and machines continuously teach and improve each other.
Leadership’s New Mandate: Teach People to Lead with AI
True leadership today isn’t about shielding people from disruption. It’s about preparing them to shape it. Nourbakhsh puts it bluntly: “Learn to deploy technology solutions to your everyday problems before someone else does.”
The best leaders will not wait for “the next big thing” in AI. They’ll focus on developing the small, daily habits that make their organizations technologically fluent, adaptive, and curious. They’ll turn employees from passive users into active problem-solvers.
That’s the next great leadership challenge and opportunity. The leaders who meet it will not only get a return on AI. They’ll get a return on imagination.
