How Do We Prepare for What’s Next?

The halls of European boardrooms and global executive conferences have, over the past few months, buzzed with a singular, pressing inquiry. As Chief Strategy Officer for ManpowerGroup, I’ve engaged with countless CEOs and senior business leaders, and nearly every profound discussion ultimately funnels into the same urgent question: "How do we prepare for what’s next?" This isn’t a mere rhetorical query; it reflects a deep-seated apprehension and a strategic imperative born from the seismic shifts brought about by Artificial Intelligence. Leaders unequivocally recognize that AI is not just another technological advancement; it is fundamentally reshaping the very fabric of work, demanding a re-evaluation of strategies, skills, and the human element within organizations.

Across industries, from manufacturing to finance, healthcare to retail, companies are already heavily investing in AI technologies. They are experimenting with cutting-edge tools, deploying machine learning algorithms, and leveraging generative AI to automate routine tasks, analyze vast datasets, and even augment creative processes. The immediate objective is often to create incremental value—to boost efficiency, cut costs, or accelerate product development. However, beneath this surface-level adoption lies a profound strategic uncertainty. What comes after the initial integration? How will business models evolve over the long term? Which competencies will retain their relevance, and which new ones will emerge as paramount? Crucially, how do organizations prepare their most valuable asset—their people—for a future that remains largely undefined and continuously unfolding?

The candid, albeit uncomfortable, truth is that no executive, no consultancy, and no futurist possesses a complete, infallible playbook for this era. We must collectively become comfortable with this inherent ambiguity. This acceptance is not a confession of failure; rather, it is a pragmatic acknowledgement of the unprecedented nature of this transformation. We are navigating one of the most profound shifts in how work is conceived, executed, and valued that any generation has experienced. In this dynamic landscape, traditional company strategies, often designed for more stable environments, must accelerate their pace of evolution. Simultaneously, human skills need to adapt with unprecedented agility. Our collective responsibility as leaders is to remain the architects of our organizational futures, and in a broader sense, the custodians of humanity’s role within this evolving technological ecosystem. The fundamental question is no longer if AI will reshape work—it already is doing so with increasing velocity. The true challenge lies in how organizations, and the individuals within them, navigate the subsequent phases. More importantly, how do we instill confidence in our workforces when the path ahead is still taking shape, marked by both immense promise and inherent unpredictability?

My conviction is firm and unwavering: AI is not merely "coming for our jobs" in a zero-sum game of replacement. Instead, it is "coming to our jobs," integrating itself into our daily tasks, augmenting our capabilities, and transforming the nature of work itself. While technology will undoubtedly redefine roles and responsibilities, it is the human element—our ingenuity, adaptability, and ethical judgment—that will ultimately determine the shape of this future. It is incumbent upon us, as leaders, to proactively chart this intricate journey, guiding our teams through disruption and towards new horizons of opportunity.

Workers Are More Ready Than We Think, But Confidence is Key

One of the most revealing insights from ManpowerGroup’s latest Global Talent Barometer research wasn’t about the intricacies of AI adoption at all, but rather about a far more fundamental human attribute: confidence. When directly surveyed, a remarkable nine out of ten workers expressed confidence in possessing the necessary skills for their current roles. This suggests a workforce that is generally competent and capable in their day-to-day responsibilities. However, a stark contrast emerges when peering into the near future: almost half of these same workers voiced concerns that automation could impact their jobs within the next two years. This anxiety is further compounded by the finding that more than half of the workforce reported not having received recent training or mentoring, leaving a significant gap in their perceived preparation for future challenges.

This creates an intriguing tension within the labor market. It’s not that people are inherently resistant to change; on the contrary, the modern workforce has become accustomed to continuous evolution. Workers are routinely learning new software, experimenting with digital tools, and even informally exploring AI applications to enhance their productivity. The core uncertainty isn’t about their ability to learn or adapt, but rather where they will fit into tomorrow’s redefined professional landscape. They grapple with questions about the long-term viability of their existing roles, the transferability of their skills, and the availability of new opportunities.

And these "feelings" matter immensely. For years, we have observed that success in the labor market is as much influenced by psychological factors as by fundamental economic data. Individuals don’t make career decisions solely based on salary figures or market demand; their choices are deeply influenced by their level of confidence, their belief in the existence of future opportunities, and their ability to envision a clear path forward for themselves. In the rapidly evolving AI era, this sense of confidence has emerged as one of the most critical workforce issues.

Workers desire more than just ad-hoc training modules. They seek a comprehensive understanding of how work is evolving, how their specific roles might transform, and where new growth opportunities are emerging. They crave the assurance that their investment in personal development today will continue to yield possibilities tomorrow. Without this foundational confidence, uncertainty can quickly morph into a significant barrier to progress, leading to inertia, disengagement, and a reluctance to embrace necessary change. Conversely, when confidence is present, individuals are far more inclined to experiment, to actively pursue new learning, and to enthusiastically embrace the transformative potential of AI.

The Leadership Opportunity: Navigating the Unknown with Trust

The precise trajectory and velocity of these changes remain uncertain for everyone. Yet, in my ongoing dialogues, a common theme resonates: jobs will change, skill requirements will evolve—and at an accelerated pace. Consider the data scientist, a role that just two years ago ranked 152nd in demand and now stands at 28th, illustrating the breathtaking speed of transformation. Entirely new professions are emerging, such as "Forward Design Engineers," while existing roles are being radically redesigned. Despite this undeniable shift, a persistent challenge looms: 73% of employers continue to report difficulties in finding the skilled talent they need, a figure that underscores a critical mismatch between available skills and market demand.

Intriguingly, AI is not only driving demand for specialized AI talent but also creating demand in less obvious areas. While headlines often focus on AI’s ability to write code or generate content, a parallel and equally vital story unfolds beneath the surface: the escalating need for professionals to build and maintain the foundational infrastructure upon which AI operates. Electrical engineers, mechanical engineers, and construction managers are increasingly in demand to construct the vast data centers, specialized hardware facilities, and robust power grids that are essential for AI’s computational needs. This demand for "AI infrastructure builders" is growing in tandem with the demand for AI specialists, highlighting a broader ecosystem of transformation.

In this environment of unprecedented change, the most effective leaders are not those who pretend to possess all the answers. Instead, they demonstrate humility by being honest about what they know, transparent about the unknowns, and clear about the strategic direction they intend to pursue, while simultaneously cultivating an organizational culture that embraces adaptability. They actively engage with their teams, helping them understand not just what is changing, but why these changes matter, and crucially, where new opportunities lie for individual and collective growth.

In times of such profound uncertainty, trust emerges as a potent competitive advantage. When employees trust their leaders—trust their vision, their integrity, and their commitment to their well-being—they are far more willing to embrace disruption, invest in new skills, and contribute actively to organizational transformation. Conversely, where trust is absent, uncertainty quickly fills the void, leading to resistance, fear, and a stifling of innovation. Building and maintaining this trust capital is paramount for navigating the AI era successfully.

Human Potential Is Becoming More Valuable, Not Less

A prevalent misconception surrounding the rise of AI is the idea that as technology becomes more sophisticated and capable, human contributions somehow diminish in importance. My experiences and observations lead me to the exact opposite conclusion: human potential is becoming more valuable, not less. While organizations undoubtedly require individuals who can confidently operate alongside AI and other digital tools, they also critically need people who possess uniquely human attributes. These include the capacity for nuanced judgment, the ability to solve complex, unstructured problems, the skill to build meaningful relationships, the clarity to communicate effectively, and the wisdom to earn and sustain trust.

A phrase I find myself reiterating frequently is this: "As AI becomes more human, we must become both more technical and more human." This duality is crucial. On one hand, we need to cultivate digital fluency—understanding how AI works, its capabilities, and its limitations. On the other, we must intentionally strengthen those intrinsically human capabilities that technology cannot replicate: boundless curiosity, genuine creativity, profound empathy, effective collaboration, and inspiring leadership.

The synergy between technology and human expertise is best illustrated by practical application. Earlier this year, ManpowerGroup partnered with IBM to integrate AI-powered workflows into client operations. The technology itself proved remarkably efficient; a pilot program could be stood up in a matter of weeks. However, what took significantly longer—and ultimately had the most profound impact on the success of the deployment—was the intensive human work that underpinned it. This involved meticulously training people to understand and trust the new AI system, redesigning existing roles to effectively leverage its capabilities, and ensuring that the technology was genuinely adopted and utilized by the workforce. This real-world example powerfully demonstrates that while technology can initiate a pilot, it is ultimately people who drive successful, sustainable results.

Therefore, strategic investment must encompass both digital literacy and the cultivation of these uniquely human strengths. We must equip our workforce not just with technical proficiency in AI tools, but also with the critical thinking, emotional intelligence, and collaborative spirit that will enable them to innovate, adapt, and thrive in an augmented future.

What’s Next? The Human-Centric Future

The honest truth remains: no one can provide a complete, definitive answer to "what’s next?" However, after countless conversations with leaders and employees across diverse industries and geographies, my optimism for the future has only grown. This optimism isn’t predicated on an idealistic belief that technology will unilaterally solve every challenge. Instead, it stems from an unwavering conviction that people—our collective ingenuity, resilience, and capacity for adaptation—will ultimately provide the solutions.

The CEOs who initiated these critical discussions, asking how to prepare for the unfolding future, are asking precisely the right question. While a comprehensive answer remains elusive, the path forward for organizations is becoming clearer. Those who invest as much, if not more, in fostering their people’s confidence as they do in acquiring and deploying cutting-edge technology will be the ones that proactively shape what comes next, rather than merely reacting to it.

The organizations poised to thrive in this AI-driven era will not merely adopt superior technology. They will cultivate a workforce characterized by greater confidence, develop more adaptable and empathetic leaders, and intentionally design workplaces where technological innovation and human potential mutually reinforce and elevate one another. The future, while uncertain, is profoundly human, and its successful navigation hinges on our ability to empower and inspire the people who will build it.