Artificial Intelligence is becoming increasingly capable of analysing data, spotting patterns, forecasting outcomes, automating decisions and supporting managers. AI is also often becoming the resource of choice for employees wanting the guidance that team leaders can and should provide. The evidence to date suggests that while AI will augment leadership, it is unlikely to improve, or replace the human aspects of leadership such as judgement, empathy, trust, motivation, coaching, culture-building, ethical decision-making, risk-taking or aversion and relationship management.

 

In fact, many of the latest studies suggest that organisations struggling with AI adoption often have a leadership problem, not a technology problem.

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Where AI Excels

AI is already outperforming humans in several management-related activities, such as:

 

Data-driven decision making

AI can process thousands of data points instantly; identify trends invisible to humans; predict customer churn; forecast sales performance; monitor employee sentiment; and recommend actions based on historic outcomes.

 

Research from McKinsey estimates that AI could generate up to $4.4 trillion in annual productivity gains globally through business adoption. Whilst a Gartner study found that 45% of managers reported AI had improved their teams' work as much as expected, managers themselves are adopting AI nearly twice as fast as employees. In sales environments, AI is proving particularly effective at lead scoring, customer segmentation, pipeline forecasting, proposal generation, and customer service automation.

 

Many organisations now report significant gains in efficiency from AI-supported sales and account management activities.

 

But leadership isn't data-driven decision making

The assumption that leadership simply equates to decision making is flawed. Leadership is fundamentally about enabling mutual trust, creating purpose, managing conflict, understanding, coaching and empowering people, navigating uncertainty, inspiring performance, protecting employee wellbeing and managing stakeholders and clients.

 

These activities require emotional intelligence, context, ethics and human connection. The best leaders care about their Teams. AI does not. Even among workers enthusiastic about AI, surveys show clear limits to what people want AI to do. The online AI powered resume/ CV builder Resume Now 2025 survey found that:

• 66% believe AI-led management could make workplaces more efficient and fairer

• 62% still prefer a human manager

• 64% believe only humans can truly motivate teams

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More than half believe that only humans can understand emotions and handle morally complex decisions, and this distinction is important. Employees may trust AI to allocate resources or analyse performance data, but they still want a human when discussing career progression; personal challenges; mental health; workplace conflicts; motivation; and recognition.

 

Employee welfare: the human gap

One of the biggest obstacles facing AI leadership is employee wellbeing. Whilst AI can monitor wellbeing indicators such as absenteeism, burnout signals, workload patterns, employee surveys and engagement levels - it cannot genuinely care.

 

Research continues to show that trust and engagement are heavily influenced by human relationships. Even regarding AI adoption studies suggest that success of onboarding depends less on the technology and more on whether employees trust their leaders during the change process.

 

As with all major examples of change management, Gartner specifically warns that managers must address the emotional resistance employees feel towards AI as part of successful implementation. This reflects a broader reality: Employees rarely leave companies because of software. They leave because of team leaders who do not know how to lead.

 

Can AI manage sales teams?

Only partially. AI is rapidly becoming a powerful sales manager's assistant, as it can forecast revenue, analyse win/loss patterns, identify pipeline risks, prioritise opportunities and recommend next actions. However, top sales performance is driven by motivation, coaching, accountability, confidence and relationship building. These all remain deeply human skills.

 

An underperforming sales executive does not usually need more data; rather they need encouragement, challenge, mentoring and confidence-building. So, AI might be able to diagnose a problem, but humans still solve the behavioural causes.

 

Can AI replace account managers?

Even less likely. Account management revolves around trust, relationships, influence, negotiation, strategic advice and understanding unspoken concerns. AI can support account managers by summarising meetings, surfacing customer insights, predicting churn and drafting communications. But when a client faces a major outage, a compliance issue, a security breach or a business-critical decision, they generally want reassurance from a trusted human adviser.

This aligns strongly with our own experience at The HH Partnership, where client success depends on trusted relationships and strategic guidance rather than merely providing technology.

An interesting contradiction

 

Some recent surveys do suggest growing openness to AI managers. For example:

• 38% of workers said they would prefer an AI manager to a human one in one survey.

• Another study found 67% of employees sometimes prefer seeking guidance from AI rather than their managers.

 

At first glance this appears alarming for managers, but the explanation is revealing. Many employees are turning to AI because leadership quality is inconsistent. The issue is not that AI is becoming a better leader. The issue is that some leaders and managers are undertrained, unavailable, overwhelmed or ineffective. When leadership quality improves, the appeal of AI replacing leaders diminishes considerably.

 

But while a contradiction, the HH Partnership is clear that outcomes are optimised in those situations in which human leadership quality is high and the balance between human leadership and AI capability is well considered.

 

The Future: AI-Augmented Leadership

The most likely future is neither human leadership nor AI leadership. It is AI-augmented leadership. McKinsey's 2025 research concluded that while nearly every company is investing in AI, the biggest barrier to success is leadership capability rather than technology. Only 1% of organisations consider themselves mature in AI adoption, despite 92% planning to increase investment. Similarly, Gartner found that only 8% of HR leaders believe managers currently possess the skills needed to use AI effectively.

 

The leaders who thrive over the next decade are likely to be those who can achieve balance:

• Use AI to enhance decision-making

• Automate administrative burden

• Gain deeper employee insights

• Improve customer understanding

• Spend more time coaching people

• Focus on strategy, culture and innovation

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Conclusion

AI will undoubtedly replace many management tasks, and it may even outperform humans in areas such as analytics, forecasting, reporting and operational decision support. However, leadership is much more than administration.

 

The evidence increasingly points to a future where AI becomes the world's best management assistant, while humans remain responsible for the things that matter most: people, trust, empathy, judgement, inspiration, culture, relationships.

 

In other words, AI may become a brilliant manager; but it is unlikely to become a great leader.

Qualities such as judgement, empathy, creativity and strategic thinking remain indispensable human capabilities, even in an AI-driven workplace. The leaders most at risk are not those being replaced by AI; but those who refuse to use it.