With unemployment on the rise and artificial intelligence reshaping workplaces, there is growing anxiety among workers about job security and the relevance of current skills.
While AI may be viewed as a relentless force, I believe it also presents an incredible opportunity for personal and professional growth. Those who understand and harness its potential stand to gain significantly in a growing AI-driven economy.
That’s why workers and leaders must adapt together so they and their companies stay competitive. That’s especially true as AI barrels through industries more forcefully than ever in 2025, two years after ChatGPT set off an arms race in the corporate world with the use of chatbots for ad targeting, content creation and other tasks.
It’s imperative that employees care about AI and its potential, and therefore stay ahead of the disruption that it’s likely to cause. As for HR and business leaders, it’s their duty to balance automation and human skills.
Leaders should be championing AI literacy across all levels of the organization by investing in training programs, creating cross-functional teams to foster innovation, and establishing AI committees to guide responsible use. Smart executives create a continuous culture of learning, helping employees keep up with a steep learning curve that comes with any new technology. Education will help companies and workers navigate this shift.
I’ve been urging industry leaders to focus on helping workers develop five essential skills that will be needed to thrive in an AI-enhanced economy. My approach is rooted in finding a balance between leveraging AI for its strengths and emphasizing human qualities that machines can’t replicate. These skills can be taught and reinforced with forethought and determination.
1. Technical proficiency
As AI becomes more integrated into workplaces, workers need a foundational understanding of AI tools and data literacy. These skills enable effective collaboration with AI systems, enhancing their decision-making processes. Companies should invest in targeted training, like workshops on machine learning and data visualization, and encourage hands-on experience through internal AI-driven projects. It’s important to know that AI’s capabilities will only accelerate, so employees can’t stumble at the starting gate.
2. Adaptability
This is something that needs to be ingrained in the workforce of the future. To stay relevant, workers must adopt a mindset of continuous learning and adaptability. Employers can support this by encouraging job rotations, new project assignments or role expansions that stretch employees’ skills and push them out of their comfort zones. Adaptability workshops and change management training can also prepare teams for future shifts.
3. Creativity
In a world where AI handles data and routine tasks, human creativity becomes a differentiator. And it is human creativity that remains essential to faster innovation, which gives companies a competitive edge. Employers can unlock workers’ creativity by starting with simple exercises such as regular brainstorming sessions or more cross-departmental projects. It’s not just about getting the work done; it’s figuring out new ways to do it better, faster and more economically. AI will be key to achieving those goals in partnership with humans. It should boost worker productivity and engagement, too.
4. Emotional intelligence
AI can handle technical tasks, but it can’t replicate the human ability to understand and manage emotions. Empathy, active listening and clear communication are crucial for team dynamics and customer relationships. Organizations can enhance these skills through training programs focused on empathy exercises, conflict resolution and effective communication. Encouraging a culture where feedback is constructive and emotions are managed positively will help bridge the gap between human and AI interactions.
5. Ethical judgment and integrity
With AI influencing decisions that impact people’s lives, ethical considerations become paramount. Workers must understand the ethical implications of AI, from data privacy to bias in algorithms. Companies should provide ethics training, host discussions on real-world ethical dilemmas, and establish AI ethics committees to review and guide AI-related decisions. Promoting a culture of integrity ensures AI’s use aligns with both corporate and societal principles.
How to develop skills
Developing these skills is a shared responsibility among workers, employers and educational institutions. Workers must take the initiative to learn and adapt by, for example, using online resources, volunteering for AI-related projects within their organizations or participating in affinity groups.
Employers, in turn, should provide access to training resources, support skills development and foster a culture of continuous learning. This has taken on additional importance as a greater share of companies are embracing skills-based, as opposed to credential-centered, hiring. In fact, a recent survey of 3,000 international workers indicated that 73% of employers used skills-based hiring last year, up from 56% in 2022. This trend underscores the need for continuous skill development over traditional credentialing.
Educational institutions, for their part, should be prepared to change up their curricula to reflect this new workplace reality, offering programs that focus on both technical and human-centric skills. They ought to consider continuous forms of teaching rather than traditional term-based classes, among other changes.
Rather than fearing AI as a job-stealing force, let’s view it as a catalyst for human advancement. By doubling down on what makes us uniquely human—our creativity, empathy and ethical judgment—we can shape a future where AI enhances our work, fuels innovation and unlocks new levels of growth and opportunity.
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