Concerns about AI-driven job losses and lack of discussions on workforce reassignment
The author is increasingly concerned about the impact of robust AI platforms on jobs, as they are seeing job cuts without discussions on how to increase productivity and reassign workflows.
Why it matters
The article highlights the need to address the impact of AI-driven job losses and find ways to increase workforce productivity, rather than just automate jobs away.
Key Points
- 1AI is automating enterprise workloads, leading to brutal job cuts
- 2There is a lack of focus on increasing productivity by allowing workers to do more with AI assistance
- 3Businesses should ideate on how AI can boost productivity, not just automate jobs away
- 4The C-suite should push for initiatives that balance automation and productivity gains
Details
The author is witnessing the rollout of enterprise AI platforms that are automating jobs, leading to significant job cuts. However, they are not seeing discussions on how to save jobs or reassign workflows. The author believes that the focus should be on increasing actual productivity by empowering workers to do more with the help of AI, rather than just automating jobs away. They suggest that businesses should ideate on how AI can boost their productivity and capabilities, and plan for these productivity gains alongside the automation efforts. The author believes that if this approach is not articulated and implemented quickly, the job losses could be devastating to the economy, resulting in a net zero loss with no productivity boost, only efficiency gains. The author remains optimistic that the C-suite can push for initiatives that balance automation and productivity gains, which would improve public perception compared to solely advertising job loss efficiency gains.
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