AI Agent Design Emerges as Critical Workplace Skill
AI agents are transforming work by enabling employees to automate tasks and drive productivity. Learn how designing AI agents builds trust and prepares enterprises for the future.
By Kim Basile, Chief Information Officer at Kyndryl
For decades, ambitious tech professionals have mastered skills like coding and spreadsheet analysis to advance their careers. Now, designing AI agents is becoming the next essential talent, reshaping how work is done.
Thanks to low- and no-code tools, building AI agents is no longer limited to software engineers. Consultants, analysts, and managers can now create "digital colleagues" to automate tasks like:
- Digging up insights
- Drafting content
- Summarizing documents
- Surfacing real-time trends
Résumés of the future will not only highlight roles and skills but also showcase an individual's ability to build AI agents that drive productivity.
Building Trust Through AI Ownership
Empowering employees to design their own agents does more than enhance capabilities—it builds trust. When workers actively shape AI integration:
- AI transitions from a top-down mandate to a bottom-up tool
- Employees gain a sense of agency and control
- Resistance decreases while transparency increases
- AI feels more like a partner than a threat
This makes agent-building both a skills accelerator and a cultural lever for trust.
Challenges Remain for Enterprise Leaders
Despite AI's potential, workplace anxiety persists. According to Kyndryl's People Readiness Report:
- 45% of CEOs report employee resistance to AI
- 2 in 3 lack sufficient internal AI talent
- 45% are uncertain about future skill needs
- Only half feel prepared for AI-driven changes
As enterprises navigate this transformation, designing AI agents may prove to be the superpower that bridges the gap between human potential and technological advancement.
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About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.