<\/p>
Key Takeaways:<\/strong><\/p> Artificial intelligence (AI) isn\u2019t just a buzzword or a technology trend. It\u2019s already reshaping how organizations operate long-term.<\/p> Leaders must guide their teams through this shift. However, without knowledge of how AI works and its business implications, senior leaders can\u2019t future-proof their organization\u2019s strategy, talent and culture.<\/p> Fortunately, developing this understanding doesn\u2019t mean you need to be a data scientist. But it does mean you need to understand the risks AI could pose in your organization and how to transform these risks into opportunities.<\/p> Only then can you lead your organization with the knowledge that AI can work for you.<\/p>\n\n AI is a scientific field. It builds machines and computers that learn, reason and behave in a way that emulates humans.<\/p> It\u2019s easy to confuse AI with machine learning and generative AI, but there are subtle differences:<\/p> For more information on what AI is and isn\u2019t, see our article, What Is AI?<\/a><\/p>\n\n With new AI emerging every day, we no longer question what it can do but instead what it can\u2019t. [1]<\/p> Whether it\u2019s analyzing market trends, customer data, or your organization\u2019s internal processes, AI can work with you to adapt strategies in real time. It can analyze complex data at speed, allowing you to make data-driven decisions in a fraction of the time otherwise possible. [2]<\/p> Today, AI is changing the face of most industries. This creates a need for leaders to become more tech-aware, curious and adaptable.<\/p> Piquing this interest comes easily to many leaders. More than 90 percent believe that AI will create opportunities rather than risks for them, and 85 percent believe it will improve their organization\u2019s capabilities. [1]<\/p> However, the excitement may not be the same for team members, with 70 percent of leaders believing AI will disrupt their organizations by 2028. [1] The implication is that jobs could change or even be eliminated. As such, over half of U.S. workers are concerned about the impact that AI will have on the workplace. [3]<\/p> With uncertainty about job security rippling through organizations worldwide, leaders now have a responsibility to reposition roles for a sustainable future.<\/p>\n\n Four key areas where AI creates leadership concerns include the management of team roles, new capabilities, customer expectations, and ethics. However, leaders can implement solutions in response to each of these challenges.<\/p>\n\n Guiding a team into the AI era can be a multifaceted challenge. Leaders are having to identify which skills will stay relevant, decide where to invest in reskilling, and redefine roles while working through legal and HR implications.<\/p> They\u2019re also having to test how to use AI to improve, rather than damage, productivity and manage organization-wide anxiety about job changes and job security.<\/p>\n\n Leaders are also at the helm of challenges surrounding new capabilities. They\u2019re facing the risk of competitors gaining market advantage by leveraging AI where they are not.<\/p> Meanwhile, they\u2019re also experiencing pressure to invest in AI without clear return-on-investment (ROI) projections.<\/p>\n\n Leaders are seeing rising customer demands, such as immediate response times, that may be unsustainable or unprofitable to meet. [4] But they risk losing out to competitors who can meet new expectations if they can\u2019t.<\/p>\n\n Then there are concerns relating to ethics. AI has the power to influence public opinion based on its prioritization of certain products and information. As a result, many leaders are querying its ability to be fair and transparent and fear that it delivers misinformation<\/a>.<\/p> Additionally, leaders using algorithms to make hiring decisions might find themselves unwittingly pursuing workplace bias, discriminatory hiring processes, and unequal access to resources.<\/p> This can easily unfold if an AI system has been trained using biased data, such as the concept that nurses are usually women or financial professionals are usually men. [5]<\/p> More ethical concerns arise from cybersecurity challenges<\/a>, which can be prevalent when AI handles sensitive data. Phishing scams and malware can both create security risks \u2013 and 87 percent of security professionals have reported AI-related cyber attacks at their organizations in the year 2024-25. [6]<\/p>\n\n As you prepare for a future where AI plays a central role in your organization, these practical actions can help you lead with confidence.<\/p>\n\n Acknowledge the threat that AI poses to many job roles in their current form. Next, proactively address team members\u2019 concerns with a transition plan that will support the longevity of their roles.<\/p> Training opportunities and clear communication will be crucial as you foster psychological safety<\/a> throughout your team. [7]<\/p>\n\n When used within the limits of its capabilities, AI can boost an individual\u2019s performance by nearly 40 percent. However, when used outside these limits, AI can weaken this performance by 19 percent. [8]<\/p> As a result, it\u2019s critical to invest time and resources into iterating AI processes until they truly build productivity<\/a>.<\/p>\n\n Although investing in AI can be risky when the ROI is unclear, leaders can decide where these risks are most informed.<\/p> Consider which aspect of your organization would benefit from AI most. Perhaps your team is busy working on time-consuming tasks when they could be working on valuable projects? If so, investing in automation could pay off.<\/p> However, if your competitors are making more sales because they\u2019re using responsive chatbots and personalized deals, these may be better opportunities for you. [9]<\/p>\n\n Instead of leaving AI to work alone, appoint team members to oversee the ethical use of these solutions. <\/p> Whether it\u2019s avoiding gender bias<\/a> in hiring decisions, ensuring data privacy, or preventing misinformation, human-centered values are essential to the safe use of AI.<\/p>\n\n AI will impact every leader, and it already is, which is why it helps to be proactive instead of reactive to technological developments.<\/p> However, using AI as a leader<\/a> doesn\u2019t always mean you need to learn how to build tech systems. Instead, it may be more useful to respond to AI\u2019s specific implications for your organization and industry.<\/p> Whether you\u2019re redesigning roles, making informed investment decisions, or prioritizing ethical practices, your leadership can turn AI into a competitive advantage.<\/p> Have you subscribed yet to our Expert Skill Bite course "Mastering AI for Managers"<\/a><\/strong>? It’s a collaboration between Mindtools and Markus Bernhardt, a leading AI strategist and tech visionary.<\/p> This seven-part course is perfect for managers who want to start using AI safely and effectively, to elevate all aspects of their own work \u2013 and to develop \u201cAI fluency\u201d in their team.<\/p> Join the course now<\/a> to meet Markus and begin your journey to AI mastery, through video tutorials, interactive tasks, and guided commitments.<\/p><\/div><\/div>\n\n AI affects strategy, roles and ethics. Leaders must guide its use to boost performance and protect their teams and brand.<\/p>\n\n Provide training, communicate clearly, and develop role transition plans to build psychological safety and confidence.<\/p>\n\n Bias in hiring, misinformation, data privacy issues, and cybersecurity threats are major concerns that need oversight.<\/p>\n\n Start with areas where AI saves time or enhances customer experience, like automation or personalized support.<\/p>What AI Is (and Isn\u2019t): A Practical Definition for Leaders<\/strong><\/h2>\n\n
What\u2019s Changing, and What This Means for Leadership<\/strong><\/h2>\n\n
Why AI Is a Leadership Concern<\/strong><\/h2>\n\n
1. Protecting Teams<\/strong><\/h3>\n\n
2. Creating New Capabilities<\/strong><\/h3>\n\n
3. Managing Customer Expectations<\/strong><\/h3>\n\n
4. Upholding Ethical Practices<\/strong><\/h3>\n\n
Practical Actions to Build AI Readiness<\/strong><\/h2>\n\n
Work With Team Members to Future-Proof Their Roles<\/strong><\/h3>\n\n
Test and Develop AI Practices Until They Work<\/strong><\/h3>\n\n
Know When to Take the Risk With AI Investments<\/strong><\/h3>\n\n
Ensure the Ethical Use of AI<\/strong><\/h3>\n\n
Leadership Starts With Awareness<\/strong><\/h2>\n\n
Frequently Asked Questions<\/strong><\/h2>\n\n\n\n
Why should leaders care about AI?<\/strong><\/h3>\n\n
How can leaders support teams during AI adoption?<\/strong><\/h3>\n\n
What are the biggest risks of AI?<\/strong><\/h3>\n\n
Where should leaders invest in AI?<\/strong><\/h3>\n\n