As AI evolves from being the next big thing to an essential tool for getting work done, individual contributors, leaders, and organizations are navigating how best to leverage its potential. Leaders at every level — whether senior leaders setting vision, managers operationalizing strategy, or individual contributors driving innovation on the frontlines — can harness AI to improve their work. But how do they collectively leverage AI at the organizational level?
The key to successful AI integration across the organization is helping leaders at all levels understand how their use of AI connects to the organization’s collective mission. One way to achieve this is by assisting leaders in understanding the soft skills required to thrive during AI transformation.
Why Soft Skills Are Important for AI Transformation
In the context of leadership, soft skills are key qualities like empathy, compassion, and authenticity that help us form strong connections with others. These skills are just as important, if not more so, than technical skills, such as the ability to use AI. It’s tempting for organizations to think leveraging AI and soft skills means helping all their employees understand how to use AI to work more efficiently in their roles. While AI advancements can significantly enhance operational efficiency and help individuals uncover new insights, they cannot replace the uniquely human aspects of leadership.
At CCL, we believe that human leadership will guide and shape the future. The true strength of leadership lies in the uniquely human qualities that AI cannot replicate, such as empathy, vision, curiosity, and the ability to inspire others. Understanding the relationship between AI and soft skills is crucial for leaders to effectively harness AI’s potential while maintaining a human-centered approach.
The value of leadership soft skills extends beyond individual interactions; they’re essential for navigating complex challenges, fostering innovation, and building resilient teams. Collectively leveraging these soft skills across the organization is an essential factor in successfully navigating AI transformation. While leaders at all levels require a foundational understanding of AI, and some soft skills are important regardless of level, the essential soft skills for leveraging AI look different at different levels.
Senior Leaders: Guiding Ethics, Innovation & Vision
Senior leaders are often charged with designing a strategy in alignment with their organization’s mission, vision, and values. They’re also guiding the organization through uncharted territory. AI transformation is causing rapid change, and senior leaders play a key role in helping their organizations both navigate this change and thrive amidst it. Here are 4 key soft skills senior leaders need to guide their organizations through AI transformation.
- Communication: Senior leaders must drive clear and transparent communication about AI initiatives, goals, and integration. Such transparency helps foster a culture of psychological safety and builds commitment throughout the organization by helping the employees (or everyone) understand the collective vision of why AI transformation is essential.
- Trust: Senior leaders build trust by explaining the benefits, limitations, and implications of AI to stakeholders. This vulnerability can signal to the rest of the organization that “we’re in this together” and build buy-in for key initiatives.
- Ethics: Senior leaders must champion ethical AI practices in their organizations, and they serve as the role models for the rest of the organization’s leaders to follow. Organizations that lack clear ethical guidelines for AI risk eroding trust, inviting bias or misuse, and undermining both employee and public confidence in their leadership and decisions.
- Learning Agility: Senior leaders must cultivate a culture of continuous learning and innovation within their organizations by modeling the traits and behaviors they seek. By creating opportunities for skill development and recognizing learning-oriented behaviors, they also influence others in the organization to experiment and innovate, further shifting organizational culture.
Managers: Translating Strategy & Execution
Managers bridge the gaps between strategic direction and operational reality. Middle managers often find themselves pulled in multiple directions — upward toward senior leaders, sideways toward peers, and downward toward direct reports — so interpersonal skills like clear communication, influence, and collaboration become as critical as technical competence. Here are the 4 skills managers need to best leverage AI transformation.
- Collaboration: Managers need to navigate organizational politics and structures to connect AI potential with strategic goals. To achieve this, they must lead with empathy and adaptability, understanding their organization’s AI strategy, how it will reshape workflows and operations, and foster collaborative and productive working relationships between and across teams and functions.
- Communication: Managers must ensure clear communication about AI’s role and implications to employees to build trust and psychological safety. Serving as the bridge between individual contributors and senior leadership, they help foster understanding and collaboration across organizational boundaries.
- Learning Agility: Managers must continually identify opportunities for their teams where AI can enhance efficiency and productivity. By being adaptable, and helping model that adaptability for their teams, they can quickly integrate AI into existing workflows or spot opportunities for creating new workflows.
- Influence: Managers must encourage teams to explore AI tools and foster a psychologically safe environment for innovation. They should leverage their influence to build consensus and drive commitment toward adopting AI technologies in an ethical and productive way.
Individual Contributors: Innovators Inspired by AI
Individual contributors are at the frontline of AI transformation. They’re often the first to integrate AI into their everyday work, and they’re experimenting with ways to do more and do better with AI. Individual contributors play a vital role in shaping strategy and executing AI initiatives, yet they often lack the communication, influence, and self-awareness skills required to translate their expertise into broader impact. Here are the key soft skills individual contributors need to best navigate AI transformation:
- Learning Agility: Individual contributors need to invest in personal AI literacy — understanding AI’s capabilities, AI tools, and how to take full advantage of AI to enhance their current role. Embracing learning agility can give these contributors the versatility, adaptability, and growth mindset to best leverage AI.
- Creativity: Individual contributors can immediately leverage AI to enhance their creativity. For example, they can use AI to augment problem-solving, facilitate brainstorming, and spur innovative thinking by exploring new ideas (or working with AI to challenge existing thinking).
- Resilience: While AI can be empowering, it can also be a threat in terms of replacing roles. For individual contributors, building a resilient mindset can help navigate this uncertainty — they can do this by leveraging AI to amplify their own skills as well as helping others remain resilient and be ready for what AI trends emerge next. This requires individuals to challenge and refine AI-generated output to ensure relevance and reliability.
- Collaboration: Individual contributors can serve as educators in their organizations, helping others understand terminology, promote ethical usage, and identify when to and when not to best leverage AI in the flow of work. Turning AI into a collaborative tool in your organization can enhance impact at multiple levels: individuals, teams, and the organization.
Ready to Take the Next Step?
We have a number of leadership solutions to help you upskill your talent with soft skill development, in the format that’s best for your unique situation.
