Artificial intelligence is transforming how organisations operate, make decisions and serve customers. From automating routine tasks to analysing complex data, AI is creating opportunities for businesses to improve productivity and rethink traditional ways of working.
But as organisations adopt AI, an important question emerges: What should leaders focus on when technology can do more of the work?
Consider the experience of Klarna, the Swedish fintech company led by CEO Sebastian Siemiatkowski. In February 2024, Klarna announced that its AI assistant was handling two-thirds of its customer service chats just one month after launch. The company estimated that the assistant could deliver a $40 million improvement in profit for 2024.
However, the story did not end with automation. In September 2025, Klarna announced a shift in its AI strategy, moving away from an emphasis on aggressive cost reduction towards improving productivity, products and customer service. Its experience highlighted the importance of balancing efficiency with service quality and human support.
This raises a critical question for leaders: when AI can make an organisation faster, how can they ensure it also makes the organisation better?
The answer is not simply learning to use every new AI tool. Leadership in the age of AI requires a stronger focus on strategy, people and responsible change.
Here are three priorities leaders should focus on to navigate the changing workplace and build organisations that are ready for the future.
1. Move Beyond AI Adoption to Strategic Leadership
For many organisations, the AI conversation begins with technology.
Which AI tools should we use? What tasks can we automate? How much time and money can we save?
These are important questions, but they should not be the starting point of an AI strategy.
Effective leadership begins with understanding the organisation’s goals and identifying the problems that technology should help solve. AI can automate processes, analyse information, support decision-making and improve productivity. However, automating an inefficient process does not automatically create a more effective organisation.
Strategic leadership requires leaders to identify where AI can create genuine value and where human judgement remains essential.
For example, a business leader might consider:
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Which repetitive tasks are consuming valuable time?
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Where can AI improve the customer experience?
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Which business processes need to be redesigned before they can be automated?
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What decisions require human oversight?
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How can AI support the organisation’s long-term objectives?
These questions help leaders move beyond simply adopting technology to using it with purpose.
This also requires more than digital literacy. Leaders need critical thinking, business understanding and the ability to connect technological capabilities with organisational priorities.
The objective is not to adopt AI because competitors are doing so. It is to identify where it can make a meaningful difference and ensure that its use supports the organisation’s broader strategy.
2. Develop the Human Skills AI Cannot Replace
As AI becomes more capable, human skills become increasingly important to effective leadership.
Consider a manager who receives an AI-generated report showing that team productivity has declined. The technology can identify patterns, analyse performance data and highlight possible causes. However, the manager still needs to understand the people behind those numbers.
Is the team overwhelmed? Are expectations unclear? Is there a communication problem? Do employees need additional training or support?
Answering these questions requires empathy, communication, critical thinking and sound judgement.
The future of leadership should not be framed as a competition between humans and AI. Instead, leaders need to understand how people and technology can work together to achieve better outcomes.
This means investing in the human capabilities that support effective collaboration, innovation and decision-making.
Some of the most important skills include:
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Communication: Explaining decisions clearly, aligning teams and helping employees navigate change.
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Emotional intelligence: Recognising employees’ concerns, understanding different perspectives and responding with empathy.
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Critical thinking: Evaluating information, questioning AI-generated outputs and making informed decisions.
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Creativity: Identifying opportunities, developing new ideas and approaching complex challenges from different perspectives.
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Problem-solving: Applying sound judgement to situations where technology alone cannot provide a complete solution.
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Collaboration: Bringing together people with diverse skills and perspectives to achieve shared objectives.
Leaders must also help employees develop the ability to use AI effectively, assess its limitations and recognise when human intervention is necessary.
The goal is not simply to build an AI-skilled workforce. It is to build a workforce that combines technological competence with the human skills needed to use that technology wisely.
3. Lead AI Adoption With Responsibility
AI adoption is not just a technology decision. It is also an organisational change challenge.
Introducing AI can transform job responsibilities, change established workflows and create uncertainty among employees. Some may worry about job security, while others may feel unprepared to work with new tools.
Leaders must address these concerns through transparent communication, relevant training and opportunities for professional development.
Rather than treating employees as obstacles to technological change, leaders should involve them in the transition. Employees who understand why AI is being introduced, how it affects their roles and what support is available are better positioned to participate in the process.
Responsible AI leadership also involves addressing important issues such as:
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Data privacy: Protecting sensitive organisational and customer information.
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Accuracy: Verifying AI-generated information before using it to make important decisions.
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Bias: Recognising that AI systems can produce unfair or distorted results.
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Confidentiality: Establishing clear guidelines for what employees can and cannot share with AI tools.
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Accountability: Ensuring that people remain responsible for decisions made with AI assistance.
Klarna’s experience offers a useful leadership lesson. While automation can improve efficiency and reduce costs, those benefits must be weighed against customer experience, service quality, and long-term business value. The company’s 2025 strategy shift illustrates why leaders need to evaluate AI not only by what it saves, but also by what it helps the organisation achieve.
Responsible AI adoption is therefore not about slowing innovation. It is about ensuring that innovation is sustainable, trustworthy and aligned with the organisation’s purpose.
The Leadership Question Has Changed
The question is no longer simply, “How do we use AI?”
It is, “How do we lead effectively when AI is changing how our people work, make decisions and create value?”
This shift requires leaders to rethink their responsibilities. They must understand emerging technologies without losing sight of the people, processes and principles that make organisations successful.
Leaders do not need to become AI engineers. They need enough knowledge to ask informed questions, assess opportunities and risks, make sound decisions and guide their teams through change.
Most importantly, they must recognise that technology can support leadership, but it cannot take away the responsibility to lead.
Conclusion: Lead People, Not Just Technology
Leadership in the age of AI is about more than keeping up with technological developments. It is about making strategic choices, developing people and ensuring that innovation creates meaningful and sustainable value.
Leaders who focus only on automation may overlook the human and organisational factors that determine whether AI delivers lasting results. Those who combine strategic thinking, human capabilities and responsible adoption can better prepare their organisations for a changing workplace.
AI may change the tools available to leaders, but it does not remove the responsibility of leading.
What leadership skill do you think will become most important as AI continues to reshape the workplace? Share your thoughts in the comments.
