Listen to the audio version of this article (generated by AI).
Listen to the audio version of this article (generated by AI).
I’ve spent over 20 years in the IT industry, and today I work for a company that leads the world in AI. You might assume I’m a tech geek who jumps on every new gadget. Yes—but with a purpose. I’m not chasing trends alone; I’m aggressively looking for outcomes that matter to me. Think of me as an AI Utilitarian: I don’t let technology dictate how I live—I make it work for my goals.
I test what helps me be healthier, smarter, and live a better-quality life. In the past 24 hours alone, I’ve used three AI-driven tools. First, a glucose monitor subscription—not because I’m diabetic, but to understand the science behind glucose spikes in my body so I can stay in top shape. Second, Blinkist—on my way here, I listened to two book summaries I didn’t have time to read. And third, Copilot—my advisor in shaping this keynote, helping me orchestrate my thoughts into what I’ll share today.
These tools didn’t just make me more efficient—they made me feel smarter, healthier, and more prepared. And that’s the point: AI can be a powerful enabler, but it’s up to us to decide how it serves us—not the other way around.
And that brings me to the heart of today’s message: Human Wisdom in the Age of Artificial Intelligence. Because while technology can accelerate everything, wisdom is what gives it direction. Today I decided to answer three questions:
1. Skepticism of AI
2. “What remains uniquely human when technology can do so much?”
3. What I have learned in the IT industry, how to lead in the AI era
AI is not the first disruption in history—it’s the latest in a lineage of transformative technologies that changed how information is created, captured, and shared: writing, the printing press, the camera, and the internet. Each of these revolutions reshaped not just what we do, but how we think.
When the internet emerged in the 1990s, it faced skepticism—fears of job loss, privacy erosion, and cultural decline. Yet today, it’s the backbone of modern life. AI is following the same arc: initial resistance, then reinvention. The shift is irreversible.
Back in 1995, Bill Gates said, “The Internet is becoming the town square for the global village of tomorrow.”
Bill Gates in 1995 (Photo by Shutterstock.com)
What seemed radical then is now reality. AI is our next town square—reshaping not just how we connect, but how we think, work, and lead.
But not everyone agreed. That same year, Robert Metcalfe predicted, “I predict the Internet will soon go spectacularly supernova and in 1996 catastrophically collapse.”
Clifford Stoll declared, “No online database will replace your daily newspaper.” S
kepticism is not new; it’s part of every technological revolution. When the printing press appeared in the 15th century, critics doubted its durability and moral value.
Johannes Trithemius wrote in 1492: “The word written on parchment will last a thousand years. The printed word is on paper … The most you can expect a book of paper to survive is two hundred years.”
History teaches us something vital: skepticism is not a barrier—it’s a signal. It shows where trust, governance, and human values must be reinforced. For leaders, this is a strategic tool: skepticism highlights the areas where we need to build confidence, set ethical boundaries, and design systems that serve humanity responsibly.
And here’s another parallel. When photography appeared, painters feared obsolescence. Paul Delaroche famously declared, “From today, painting is dead.” But painting didn’t die—it evolved. Artists moved from realism to impressionism and abstraction. Photography created new roles, and art became about interpretation, not replication. AI is our new camera. It won’t erase human contribution—it will redefine it. The camera didn’t kill painting—it liberated it. In the same way, AI won’t end leadership—it will elevate it. Each of us will play a major role in shaping this frontier.
What remains uniquely human when technology can do so much?
Imagine this: machines can write poetry, diagnose illnesses, and predict market trends. Algorithms know more facts than any human ever could. But here’s the paradox—in this age of artificial intelligence, what matters most isn’t more data, it’s wisdom.
AI is extraordinary. It processes vast amounts of information in seconds, identifies patterns we might miss, and helps us work smarter. Yet let’s be clear: AI doesn’t feel. It doesn’t understand context the way humans do. It doesn’t weigh values or foresee consequences beyond its training data. Research shows that while technology accelerates productivity, it also fragments attention and challenges deep thinking. In this environment, human judgment becomes not just relevant—it becomes essential.
Wisdom is not knowledge; it’s the ability to apply knowledge with judgment, empathy, and purpose—qualities uniquely human. Think about leadership decisions today: should we automate this process? How do we ensure fairness in AI-driven hiring? These aren’t questions of efficiency—they’re questions of ethics and trust. Technology must serve humanity, not replace it, and that truth anchors every principle of responsible AI.
So how do we cultivate wisdom in a world dominated by algorithms?
It starts with judgment—going beyond the numbers to ask: What’s the context? What’s the long-term impact? It requires empathy—because technology can connect us, but only humans can truly understand each other, and empathy builds trust in an automated world. And it demands purpose—because AI is a tool, not a destination, and every innovation must align with human-centric goals. These pillars aren’t abstract; they guide how we design, lead, and live.
So let me ask you: What decisions in your work require wisdom—not just data? Take a moment and reflect, because those decisions define your leadership.
As Satya Nadella said, “The future of AI is not about replacing people, but about amplifying human capability.” If AI is the engine, human wisdom is the steering wheel.
So how do we lead in this new era? What lessons can we take from AI frontier firms—and how do we turn them into action?
I see four leadership imperatives, and here’s how I translate each into practical steps:
Model curiosity becomes leading by example. I share my own AI experiences openly—what worked, what didn’t—and assess how it made me better (or not). This builds trust and normalizes learning.
Empowering teams means starting with small wins – identifying one area where AI makes a tangible difference and showcasing the impact. For my team, that’s using the Researcher agent—an advanced AI-powered reasoning assistant that supports deep thinking and provides trusted, source-based research. We use Researcher to gather insights from trusted internal and external data sources, simplify complex information into clear, actionable narratives, and deliver evidence-based recommendations that help clients understand complex challenges they are facing, make smarter, faster decisions.
Fostering Psychological Safety – creating an environment where learning is encouraged and failure is not feared. I do this by giving teams structured time and resources to experiment with AI tools, share insights openly, and celebrate both successes and lessons learned. Dedicated “innovation hours” each month allow teams to explore, collaborate, and build confidence in using new technology without performance pressure.
Championing Inclusivity – ensuring equal access to opportunities and measuring what truly matters—engagement, confidence, and ambition, not just productivity. A practical way to achieve this is by deploying one AI tool across the team—such as Copilot and its specialized agents like Researcher and Analyst—so everyone starts from the same baseline. This approach builds consistency, fosters collaboration, and makes adoption measurable. At the same time, it requires attention to security, compliance, and change management to ensure responsible use.
Frontier firms show us something important: the future isn’t about waiting for change—it’s about creating it. AI gives us speed and scale. But only human wisdom gives it direction.
So let me leave you with three takeaways:
First, human wisdom is the true differentiator—empathy, ethics, and purpose define leadership in the AI era.
Second, adaptability is non-negotiable—we must learn as fast as technology evolves.
And third, purpose-driven leadership shapes the future—ensure AI serves humanity, not the other way around.
Machines can calculate, but only humans can care. Algorithms can predict, but only humans can choose what matters. Let’s not outsource wisdom—let’s amplify it.And on a personal note: In my own leadership journey, I’ve learned that technology alone cannot inspire ambition. It’s empathy, transparency, and a sense of shared purpose that unlock human potential. AI can relieve us from routine and overwhelm, but only human wisdom can turn that relief into motivation and action.
So let’s use AI to answer questions—while striving to ask better ones—and support our teams and communities in finding their own answers.
Producing journalism that is worthy of the name is a costly business. For over 30 years, the publishers, editors and reporters of the Budapest Business Journal have striven to bring you business news that works, information that you can trust, that is factual, accurate and presented without fear or favor.Newspaper organizations across the globe have struggled to find a business model that allows them to continue to excel, without compromising their ability to perform. Most recently, some have experimented with the idea of involving their most important stakeholders, their readers.
We would like to offer that same opportunity to our readers. We would like to invite you to help us deliver the quality business journalism you require. Hit our Support the BBJ button and you can choose the how much and how often you send us your contributions.
