Reshaping The Future Of Work Collaboration With AI Agents And Humans
Agentic AI excels at processing data and executing complex tasks but it lacks the human element emotional intelligence
By Ibrahim Jackson, Founder & CEO Ubiquitous Preferred Services.
Technology continues to reshape how we work, with agentic AI—systems that can plan, act, and learn independently—becoming a reality. These systems promise new efficiencies in automating tasks and optimizing organizational operations. However, they also present challenges for the human workforce, demanding a strategic approach to maximize existing resources.
Efficiency Through Understanding
Agentic AI excels at processing data and executing complex tasks but lacks emotional intelligence (EI), the ability to navigate complex interactions and strengthen relationships. This human element is critical for smoother, more efficient workflows.
Amplifying Existing Strengths
Organizations will increasingly need leaders with high EI to guide agentic AI effectively. Key competencies include:
- Aligning AI With Organizational Values And Ethical Considerations: EI helps leaders anticipate the social or emotional impacts of AI-driven decisions.
- Fostering Collaboration Between Humans And AI: Leaders with strong EI can create a culture of trust where employees feel comfortable working alongside AI tools.
- Driving Innovation And Adaptability: Understanding the emotional landscape allows leaders to leverage AI to enhance human capabilities and drive innovation.
Performance Metrics In The Age Of AI
Success in this new era requires a shift in performance measurement. Consider:
- Employee Engagement Surveys: Assess satisfaction, morale, and trust in AI systems.
- Customer Sentiment Analysis: Gauge how AI-powered interactions impact customer satisfaction and loyalty.
- Project Agility And Innovation: Track how AI enables faster, more repeatable project completion and innovative solutions.
Strategic Optimization For Future Success
To fully embrace agentic AI, leaders should:
- Invest in EI development: Focus on interpersonal skills, decision-making, and critical thinking.
- Establish clear AI collaboration guidelines: Develop playbooks for human-AI interactions and emphasize ethical considerations.
- Seek executive advisory: Stay informed on AI advancements, such as OpenAI's five-stage framework.
- Prioritize employee feedback: Regularly gather input to refine AI processes and improve the employee experience.
The future of work lies in combining technology, people, and culture. By prioritizing EI and a human-centered approach to AI, organizations can achieve extraordinary results.
For more insights, visit Forbes Business Council.
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About the Author

Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.