Workslop at Work: Are You an AI Pilot or a Passenger?

Workslop at Work: Are You an AI Pilot or a Passenger?

https://www.weforum.org/stories/2026/01/why-ai-performance-depends-on-how-we-think-talk-and-lead/

Publish Date: 2026-01-17 04:00:00

Source Domain: www.weforum.org

• Uneven AI outcomes: Advances in Artificial Intelligence (AI) across business domains have produced varied productivity and performance gains across teams and industries, largely due to differences in how employees use it.

• Pilots vs. Passengers: Two main categories of AI users emerge: “Pilots” who use AI to enhance creativity and insight and view interactions with AI as part of the job, and “Passengers” who view AI as a shortcut or avoid it due to pessimism and fear.

• Workslop issue: “Workslop” refers to AI outputs that appear finished but lack substance, resulting in significant rework that hinders productivity. This rework is particularly costly at scale, translating into a substantial loss in productivity for large organizations.

• Importance of human capabilities: The quality of interactions between people and AI, shaped by mindset, skills, and leadership communication, determines whether AI is a productive tool or a distraction.

• Leadership communication’s role: Effective leadership communication is crucial in fostering a pilot mindset among employees, clarifying the purpose of AI use, and promoting clarity, trust, and collaboration.

• Human elements in AI success: Successful AI utilization relies on developing human capabilities related to mindset, relational skills, and communication. This shift can lead to significant improvements in performance, innovation, and reduced burnout.

• Refueling and rewiring the workforce: Organizations need to focus on developing pilot mindsets, reskilling in essential relational and creative skills, and embedding conversation and coaching in daily operations for better AI integration.

• Future leadership strategy: To realize the full potential of AI, leaders must invest in transforming human capabilities, fostering collaboration between humans and machines, and prioritizing continuous development aligned with sustainable, high-performance cultures.