57% Workers Embrace AI Despite Trust Issues: Insights from Pegasystems

57% Workers Embrace AI Despite Trust Issues: Insights from Pegasystems Workers Embrace Agentic AI Despite Concerns About Trust and Reliability, Says Research

Pegasystems Inc., The Enterprise Transformation Company, has released research shedding light on workers’ perspectives toward agentic AI. The study reveals a mixed sentiment—while 57% of workers are inclined to use AI agents at work, concerns about reliability, quality, and trust hinder broader adoption.

  1. Adoption and Benefits of Agentic AI:
    • 58% of surveyed workers are already using AI agents.
    • Top benefits highlighted by early adopters:
      • Automation of tedious tasks (41%).
      • Reduced time spent searching for job-related information (36%).
      • Quick meeting summarization (34%).
  2. Challenges and Concerns:
    • Quality and accuracy: 33% worry about the quality of AI-produced work; 30% doubt its accuracy.
    • Lack of emotional intelligence: 32% feel AI lacks human intuition and emotional understanding.
    • General discomfort: 40% are uneasy submitting AI-generated work, citing concerns over its quality and reliability.
  3. Positive Outlook Despite Challenges:
    • 46% of workers believe AI will positively impact their jobs in the next five years.
    • Only 13% foresee negative effects, while others remain neutral or unsure.
  4. Roadmap for Improvement:
    • Key areas for enhancement identified by workers:
      • Improved accuracy and reliability (42%).
      • Better training on AI tools (39%).
      • Greater transparency in AI decision-making (33%).

The research underscores that while workers are optimistic about the potential of agentic AI, concerns about trust and reliability must be addressed to achieve widespread adoption. Organizations adopting AI need to focus on improving accuracy, providing user education, and fostering transparency. By orchestrating AI to complement human workflows, companies can maximize productivity and ensure successful integration of agentic AI into daily operations.

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