Lots of specialists these days are terrified by the idea that one day AI services can completely replace them.
While modern Ai actually becomes better daily, it seems that it won't actually replace people in their jobs.
Let's find out more about the study that proves it.
How it was discovered
A recent study provides insights for business leaders about how work experience influences their workers interacting with AI.
The experiment studies the impact of two types of human work experience (specific task volume and seniority) on human-AI team dynamics.
The specialists developed an AI solution for medical chart coding and conducted a field study among knowledge workers.
Surprisingly, the study found that AI benefits specialists with greater task-based experience rather than less experienced people.
Senior specialists, despite their huge experience, gained less from AI than their junior colleagues.
The lower productivity lift from AI among senior specialists is attributed to their higher sensitivity to AI imperfections, lowering their trust in AI.
That's why it's important
This presents a dilemma as experienced employees are well-positioned to leverage AI for productivity but may be reluctant due to concerns about AI's reliability, highlighting the importance of considering different worker experience types and levels when introducing AI in the workplace.
