Q: “Is AI driving efficiency or fueling burnout?” (https://www.upwork.com/research/ai-enhanced-work-models)
A: “The Rise of the Triple Peak Day” (https://www.microsoft.com/en-us/worklab/triple-peak-day)
An increase in output that's correlated with increasing an input (time) is not a productivity increase. It is an increase in aggregate output.
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The Upwork writeup reads like it's trying to maximize cognitive dissonance:
- "While 69% of C-suite leaders admit they’re aware that employees are struggling to keep up with productivity demands, 84% are adamant their companies value employee well-being over productivity.”
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- "Employees are just as excited about the potential of AI as their leaders, with 65% believing these technologies can increase productivity…Nearly half (47%) of workers using AI say they have no idea how to achieve the productivity gains their employers expect.”
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- "One in two executives at companies using AI believe their company is falling behind their competitors (51%) and that their workforce’s overall productivity levels are stalled due to lack of employee skills and adoption (50%)... Thirty-seven percent of C-suite leaders at companies that use AI said their workforce is “highly” skilled and comfortable with these tools, but only 17% of employees actually reported this level of skill and comfort. “
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This pivot was predictable:
”We risk another productivity paradox with generative AI if we don’t fundamentally rethink the way we work.”
Well, that sounds interesting at least. Maybe a Cal Newport vibe is incoming…I wonder what they think that might look like:
"1. Leverage nontraditional talent
When compared with full-time employees, more freelancers claim to be AI-ready.”