For the past two years, the business world has been obsessed with Artificial Intelligence. Every conference talks about it, every board discusses it, every software provider integrates it, and virtually every organization is trying to understand how AI will change its business. The pace of progress has been extraordinary – and increasingly, it is becoming clear that AI is far more than another productivity tool.

Today, AI can already develop marketing campaigns, create concepts, write software, build business cases, analyze customer behavior, conduct complex research, optimize pricing strategies, support product development and perform many tasks that until recently required highly skilled specialists. The next wave may be even more transformative. AI agents are beginning to move beyond individual tasks and into complete workflows, coordinating projects, managing customer interactions, optimizing marketing activities, supporting procurement and financial planning, and increasingly acting like digital coworkers.

In some areas, organizations are already experimenting with AI systems that perform significant parts of the work previously carried out by teams or entire functions. Whether every current prediction materializes is almost secondary. The direction is clear: AI is moving rapidly from supporting work to increasingly performing work.

For many organizations, this may become one of the most significant shifts in how value is created, organized and managed in decades. Unsurprisingly, much of the discussion therefore focuses on one central question: What can AI do?

It is an obvious question. But perhaps it is not the most important one.

What becomes more valuable for humans as AI becomes more capable?

The answer may be surprisingly simple: not less human capability, but more.

When capabilities become abundant, differentiation moves elsewhere

Throughout history, every major technological wave has changed the relative value of human capabilities. The Industrial Revolution transformed the role of physical labor. Computers automated calculations. The internet dramatically reduced the scarcity of information. Now AI is beginning to do something similar with many standardized knowledge, analytical and increasingly creative tasks.

This does not mean these capabilities become irrelevant. It means they become more accessible. And whenever a capability becomes widely accessible, competitive advantage tends to move elsewhere.

For decades, access to information and specialized knowledge represented an important source of differentiation for both individuals and organizations. AI is rapidly democratizing both. A junior employee equipped with powerful AI tools can already access analytical, creative and technical capabilities that previously required years of experience or the support of specialized teams.

The defining question of the AI era may therefore not be what AI can do, but what becomes more valuable because of it.

Increasingly, the answer points towards capabilities that remain distinctly human. Creativity becomes more important because it allows us to imagine possibilities that do not yet exist. Entrepreneurship becomes more important because possibilities still need to be recognized, evaluated and turned into opportunities. Leadership becomes more important because organizations need direction, trust and ambition – particularly in times of uncertainty. And judgment becomes more important because access to information alone rarely tells us what we should actually do.

Ironically, many of these capabilities have traditionally received less systematic attention in organizations than technical expertise.

Companies frequently promote people because they are experts: because they understand systems, processes, functions and technologies; because they know the market; because they know the answers. These capabilities will remain important, but the AI era may gradually change their relative value.

It may reward a different profile: not necessarily the person who knows the most, but the person who asks the best questions; not the person who creates the most reports, but the person who identifies the most valuable opportunities; and not simply the person who optimizes existing processes, but the person who has the imagination to reimagine them.

The rise of the entrepreneurial organization

This shift has profound implications for how companies think about talent.

For decades, many organizations have optimized themselves around efficiency, predictability and risk reduction. Employees were rewarded for following processes, reducing uncertainty and reliably executing established business models. In relatively stable environments, this made perfect sense.

The AI era may require a different balance. As information becomes increasingly accessible and analytical capabilities increasingly automated, entrepreneurial thinking becomes more valuable: the ability to identify opportunities before competitors, challenge established assumptions, create new products and business models and act despite uncertainty.

For decades, companies have systematically developed managers. The next decade may require them to systematically develop entrepreneurs.

Not necessarily founders, but people who think and act entrepreneurially within organizations: people who take ownership, challenge the status quo, recognize opportunities and are willing to act before every piece of information is available.

This presents many established organizations with a paradox. The behaviors they may need most in the future are often the very behaviors they have unintentionally designed out of their organizations. Efficiency has frequently mattered more than experimentation, standardization more than curiosity and risk reduction more than opportunity creation.

AI may force companies to rebalance these priorities. If technology increasingly provides access to knowledge, analysis and execution capabilities, organizations will need people who know what to do with them. The competitive advantage may increasingly lie not in possessing information, but in identifying possibilities others have overlooked and having the courage and organizational ability to pursue them.

This also changes the role of innovation. Many companies still treat innovation as a specialized department, an annual initiative or a series of workshops. But in an environment where existing knowledge becomes increasingly commoditized, the ability to continuously question assumptions and create something new may become a core organizational capability.

Innovation may therefore need to move from the edge of the organization to its center.

Answers are becoming abundant. Direction is not.

The same shift has profound implications for leadership.

Many traditional management activities – reporting, analysis, planning, coordination and performance tracking – are likely to become increasingly supported or performed by AI. This does not make leadership less important. It changes what great leadership means.

For years, leaders have often been rewarded for having answers. Expertise created authority. Information created advantage. Experience enabled leaders to interpret situations that others could not.

AI is beginning to change this equation. When answers become more accessible, the ability to decide which questions actually matter becomes more valuable. When knowledge becomes democratized, judgment becomes more important. And when organizations face continuous technological and market disruption, the ability to provide direction becomes critical.

Answers are becoming more available. Direction remains scarce.

Leadership in the AI era may therefore become less about being the person in the room with the most knowledge and more about helping an organization navigate complexity and uncertainty. Leaders will need to decide where to go, what to prioritize, which opportunities to pursue and which to reject. They will need to create confidence when outcomes are uncertain and bring people together behind a shared ambition.

Technology can provide extraordinary analytical support for these decisions. But access to better analysis does not eliminate the need to choose.

In fact, the opposite may happen. As the number of possible answers increases, the importance of judgment may increase with it.

This is why leadership, entrepreneurship and judgment are closely connected. Great leaders of the AI era may increasingly need to think like entrepreneurs: comfortable with ambiguity, curious about possibilities and capable of making decisions before certainty exists.

The paradox of the AI era

Perhaps this leads to the greatest paradox of the current technological transformation.

The more intelligent technology becomes, the more valuable human creativity may become. The more information becomes available, the more valuable judgment becomes. The more automation increases, the more important leadership becomes. And the more accessible knowledge becomes, the more valuable entrepreneurial thinking may become.

This is not an argument against technology. Quite the opposite.

Organizations should embrace AI aggressively. The productivity potential is enormous, and companies that fail to adopt these technologies risk falling behind competitors that fundamentally redesign how work gets done.

But technology alone is unlikely to create sustainable differentiation once powerful AI capabilities become widely available.

If every competitor has access to similar models, similar information and increasingly similar analytical capabilities, competitive advantage will depend on what organizations do with them.

Which questions do they ask? Which customer problems do they choose to solve? Which assumptions are they willing to challenge? Which opportunities do they see before others? And how effectively can they mobilize an organization to turn those opportunities into reality?

For decades, organizations have invested heavily in efficiency. The next decade may belong to companies that invest equally in imagination.

The winners of the AI era will therefore not simply be those who deploy the best technology. They will be the organizations that combine technology with human imagination better than anyone else.

AI can scale knowledge, analysis and increasingly execution. But the real differentiator may lie in deciding where to apply those capabilities and what to create with them.

Creativity creates possibilities. Entrepreneurship turns possibilities into opportunities. Leadership creates direction.

And perhaps that is the central management challenge of the coming decade.

Companies should not only ask how they can make their people more productive with AI. They should also ask what kind of people, leaders and organizations they need when productivity itself becomes increasingly accessible.

In the age of AI, technology may become the new standard.

Creativity, entrepreneurship and leadership may become the new premium.