Your human skills will set you apart in the age of AI

By Justin Hurst, Chief Technology Officer APAC at Extreme Networks

The surge of interest in Generative AI (Gen AI) among Australian businesses has sparked fears in some quarters about large-scale job losses. History gives us plenty of reasons for caution: every major technological revolution has reshaped industries, eliminating some roles while creating others. But when it comes to AI, the fear of widespread replacement misses the more important truth: AI is changing the nature of work, not eliminating it.

For leaders — especially in enterprise IT — this isn’t a distant concern. It’s already reshaping how teams work.

Just as personal computers became part of everyday business life in the 1980s, AI is quickly becoming an integral tool across industries. A new report from government agency Jobs and Skills Australia found “Gen AI is more likely to augment jobs than replace them.” As the hype cycle progresses and Gen AI becomes part of our daily workflows, organisations will develop a more nuanced view on how it fits into their workforce and strategic plans. As humans in an AI-augmented workplace, human skills such as empathy, creative problem solving, ethical reasoning, leadership, and emotional intelligence are what will set us apart.

The question for leaders is not whether AI will take jobs, but how human talent will create value once AI becomes embedded in daily workflows. Everyone will have access to the same data and automation capabilities. What will differentiate individuals and organisations is how that information is interpreted, how it is communicated, and how it is used to inspire action and build trust.

For enterprise IT teams, this distinction is already clear. AI can accelerate network documentation, plan and design networking changes, and generate support responses in seconds. But the organisations that achieve real advantage are those where people use the time saved to strengthen cross-functional alignment, anticipate user needs, and guide teams through change. The human-to-human effort turns a tactical tool into a strategic asset.

This is why leadership in the AI era demands more than technical fluency. Certifications and tool proficiency still matter, but they are no longer sufficient. The most successful leaders are those who can align teams, communicate a vision, and make decisions under uncertainty — skills no algorithm can replicate. CIOs and IT leaders understand this intuitively: you cannot outsource trust to an AI system. Trust is earned through listening, inclusion, and accountability.

This perspective is echoed outside the technology field. Joanna Stern’s recent column in the Wall Street Journal captured it well. Stern advised new graduates to embrace five principles: be a creative human, a lifelong learner, a truth seeker, a hard worker, and a collaborator. That’s more than good career advice; it’s a strategy for survival in an AI-augmented workforce. Those principles also apply to leadership. AI can calculate, but it cannot care. It can recommend, but it cannot lead. That responsibility belongs to us.

Successful adoption also depends on leadership. It’s not just about deploying new tools; it is about shaping the culture around how teams interact with them. That means setting clear expectations for human oversight, ensuring values guide decisions, and balancing automation with accountability. At its core, this is about trust—not only in AI systems, but between people. The organizations navigating AI adoption most effectively are those where feedback loops are strong, employees feel ownership, and teams know their voices are heard. You cannot outsource trust to an algorithm.

Creating this kind of environment requires more than technical training. Organisations need to nurture the human skills that matter most: empathy, inclusive communication, ethical clarity, and active listening. These are not intangibles; they measurably contribute to resilience and team performance. When recognized and rewarded, they amplify the impact of technical expertise.

For individuals, proficiency alone is no longer enough. What distinguishes professionals in an AI-augmented workforce is their ability to interpret, communicate, and inspire. The best solutions do not come from code alone but from empathy: the foresight to anticipate needs before they are spoken. This is what will set apart the next generation of leaders in IT and beyond.

So yes, keep learning how AI works. Become adept with the tools and understand what they can and cannot do. But never forget the differentiator is human insight: the ability to see context others miss, to lead when others hesitate, and to bridge the human and the machine. The real risk is not that AI will take your job, but that you fail to capitalize on your humanity.