Augmented Leadership: CEOs and Managers Use AI

At a time when speed and precision in decision-making determine market share, a quiet revolution is taking place in the boardroom. As the economy struggles with geopolitical tensions, climate change and ever-changing market conditions, more and more CEOs, managing directors and executives are discovering artificial intelligence as a way out of multiple dilemmas and the increasing complexity of daily challenges. According to an IBM survey, 59% of CEOs surveyed believe that competitive advantage in the future will depend on who has the most advanced AI capabilities - 43% already use generative AI for their strategic decisions. As Bob Johansen, Distinguished Fellow at the Institute for the Future, aptly puts it:

“For managers, it’s not about replacement, but about augmentation - how to expand and improve human capabilities while remaining fundamentally human.”

This new form of leadership, “augmented leadership”, is changing the way companies are managed - not by automating leadership, but by reinforcing it.

From Gut Feeling to Data-Supported Strategy Development

The days when CEOs based their decisions mainly on experience and intuition are increasingly becoming a thing of the past when we look at the new possibilities. Top executives are already using AI systems to analyze large amounts of data, identify patterns and predict trends that would be impossible to identify with human skills alone.

In a podcast with Bernard Marr, the CEO of Coursera describes how he created a 320-page document that covered all aspects of the company - from products and competitors to company goals, organizational structure and management processes. This comprehensive information served as the basis for AI-supported decision-making tools. By using “Grounding Context”, CEOs can feed AI systems with company-relevant information to obtain context-based answers that are tailored to their specific business environment.

Amazon is an impressive example of how this technology works in practice: Their AI-powered demand forecasting optimizes inventory with unprecedented precision, saving the company billions through improved inventory planning. Where estimates and empirical values used to dominate, data-driven precision now prevails - a fundamental change in decision-making at the highest level.

From Efficiency to Effectiveness: AI as a Strategic Catalyst

True transformation through AI-enabled leadership is not about doing the same things faster, but doing better things better. Leaders are increasingly using AI not just as a tool to increase efficiency, but as a strategic catalyst that unlocks new business opportunities.

AI dashboards and recommendation systems enable informed decisions, reduce human bias and increase efficiency. Financial companies, for example, use AI-supported risk modeling to simulate market changes before they occur. Unilever has reduced recruitment time by 75% by using AI to analyze job interviews and predict performance. These examples show that AI can create strategic added value in practically all aspects of a company.

The predictive capabilities of AI enable companies to forecast trends and proactively respond to future challenges, ensuring adaptability and resilience in dynamic markets. General Electric, for example, uses AI to predict maintenance failures before they occur, saving millions in downtime. This represents a paradigm shift: from reactive to proactive management.

From a Simple Prompt to In-Depth Interaction

AI is more than just a question-and-answer machine. Executives are increasingly recognizing that the real value lies in continuous conversations that expand thinking and generate new insights.

Modern AI systems such as ChatGPT or Gemini not only turn content creation and customer service inside out, but also product development. AI tools write texts, create images and designs, enabling companies to quickly and intuitively scale personalized interactions with their customers and optimize workflows. In marketing, generative AI improves copywriting and campaign strategies, while in product development it accelerates prototyping and innovation.

For CEOs, this means a new form of decision-making: Instead of just using AI for simple analysis, they engage in a continuous dialog with the technology, testing hypotheses, simulating different scenarios and evolving their strategic thinking through this exchange. According to leading experts from the Institute for the Future, a shift is taking place from present-oriented to future-oriented thinking.

AI as a Decision-Making Partner in Uncertain Times

Especially in volatile markets, CEOs are looking for tools that can reduce uncertainty and minimize strategic risks. AI systems such as IBM Watson model supply chain disruptions and suggest risk mitigation strategies before problems occur. The ability of these systems to simulate complex scenarios and assess potential impacts makes them invaluable partners in decision-making.

One particularly valuable aspect of AI-augmented leadership is the improvement of transparency in decision-making processes. AI provides leaders with ethical guardrails in complex scenarios and helps them weigh options against ethical and legal standards. This is particularly important in industries such as healthcare, finance and technology, where moral considerations often clash with business objectives.

The integration of AI into executive-level decision making is sure to change a lot more in the future: from authoritative decision makers to adaptive leaders who balance technological adoption with human intuition. AI recommendations require human oversight to align with corporate vision and values. CEOs must foster a collaborative ecosystem where technology complements, rather than dominates, leadership decision making.

Case Studies: Augmented Leadership in Practice

Leading financial institutions have long used AI-powered predictive analytics to anticipate market shifts and adapt their strategies accordingly, while retail companies can accurately forecast seasonal product demand.

In HR management, AI helps managers to identify employees with growth potential and create customized development paths. Tools such as Eightfold AI help to match employees with high-growth career paths, leading to higher employee retention and satisfaction. This shows that AI is not only relevant for “hard” business decisions, but also for the “softer” aspects of business management.

Automation and robotics solutions streamline repetitive tasks and improve operational efficiency in various industries. Robotic Process Automation (RPA), for example, automates routine administrative tasks such as invoice processing and data entry, reducing errors and freeing up human resources for strategic activities. These technologies not only save time and costs, but also enable companies to scale their operations while maintaining high standards of quality and reliability.

Did You Know?

79 percent of business strategists surveyed believe that AI and analytics will play a critical role in the success of their organization over the next two years, according to a survey by Gartner. At the same time, according to a separate survey by PwC, 73 percent of US companies have already integrated AI into some area of their business, giving them a competitive advantage over those who have not yet explored its potential.

Tips and Tricks

• Start with an “AI readiness assessment”: Evaluate your infrastructure, data management capabilities and employee competencies to determine your readiness for AI integration. Identify technology gaps and areas where AI could add significant value.
• Create a “grounding context”: Create a comprehensive document with all relevant company information that can serve as a basis for AI-supported decisions. Try brainstorming with AI right here! And remember: the more contextual data you provide, the more relevant the AI-generated insights will be.
• Promote a collaborative AI culture: See AI as a complement, not a replacement for human decision-makers. Create an ecosystem in which humans and AI work together, each contributing their respective strengths.
• Start with small pilot projects: Start with manageable AI projects that can demonstrate quick wins before tackling larger implementations. This helps to overcome resistance and promote acceptance.
• Integrate ethical considerations: Ensure that your AI strategies take ethical standards and company values into account. AI should promote transparent decision-making and encourage accountability.

The Future of Augmented Leadership

The integration of AI into the boardroom marks a turning point in the history of corporate management. This is because the structures there have grown over decades. Breaking them up in a meaningful way, modifying them or even abolishing them completely requires time and sensitivity. The economist John Maynard Keynes summarized this problem perfectly:

“The challenge lies less in finding new ideas than in letting go of old ones.”

This applies in particular to the understanding of leadership, which must change from hierarchical, omniscient leaders to collaborative, data-supported decision-makers.

The CEOs of tomorrow will not be judged on how much they know, but on how well they can use AI systems to make better decisions. They will be conductors of complex orchestras of human intuition, human expertise and machine intelligence. The challenge is not whether AI should be used, but how it can be most effectively integrated into leadership processes without getting rid of all the human elements that will still be essential for true leadership.

The future belongs to leaders who understand both the limits and the possibilities of AI - those who know when to rely on algorithms and when to use human judgment. Augmented leadership is not about machines taking over, but about people being empowered by technology to be better leaders.