Uploaded April 2026 | Updated September 2026, 2 weeks ago
AI seems likely to transform more jobs than it eliminates, despite well-founded fears of job loss as companies increasingly adopt AI automation, lay off workers and move others into AI-centric roles.
That probably means the best response for workers is learning to use AI to their individual advantage, but in ways that align sufficiently with the goals of their organization, rather than resist AI entirely.
In this episode, we explore ways to use AI to automate mundane tasks and boost productivity while developing the innate human skills that are likely to endure through AI's future advancements.
Featuring: Sharon Gai (linkedin.com/in/sharongai/) , AI speaker and futurist, author of How to Do More with Less: Future-Proofing Yourself in an AI-driven Economy.
In today's episode, we'll also cover:
• How to identify the right tasks to turn over to AI.
• Why being an AI "beekeeper" is better than being a worker bee.
• Who is responsible for upskilling employees.
• Whether agentic AI standards and technology are mature enough.
References:
• AI job losses: Transformation expected, not mass layoffs (techtarget.com/searchcio/feature/AI-job-losses-Transformation-expected-not-mass-layoffs)
• AI upskilling strategies that center workers, not tech (techtarget.com/searchenterpriseai/feature/AI-upskilling-strategies-that-center-workers-not-tech)
• Sharon Gai website (sharongai.com/)
To learn more about enterprise applications, check out Search ERP (techtarget.com/searcherp/) .
AI seems likely to transform more jobs than it eliminates, despite well-founded fears of job loss as companies increasingly adopt AI automation, lay off workers and move others into AI-centric roles.
That probably means the best response for workers is learning to use AI to their individual advantage, but in ways that align sufficiently with the goals of their organization, rather than resist AI entirely.
In this episode, we explore ways to use AI to automate mundane tasks and boost productivity while developing the innate human skills that are likely to endure through AI's future advancements.
Featuring: Sharon Gai (linkedin.com/in/sharongai/) , AI speaker and futurist, author of How to Do More with Less: Future-Proofing Yourself in an AI-driven Economy.
In today's episode, we'll also cover:
• How to identify the right tasks to turn over to AI.
• Why being an AI "beekeeper" is better than being a worker bee.
• Who is responsible for upskilling employees.
• Whether agentic AI standards and technology are mature enough.
References:
• AI job losses: Transformation expected, not mass layoffs (techtarget.com/searchcio/feature/AI-job-losses-Transformation-expected-not-mass-layoffs)
• AI upskilling strategies that center workers, not tech (techtarget.com/searchenterpriseai/feature/AI-upskilling-strategies-that-center-workers-not-tech)
• Sharon Gai website (sharongai.com/)
To learn more about enterprise applications, check out Search ERP (techtarget.com/searcherp/) .
