AI tools and LLM-based workflows are changing how work output is produced and evaluated. Unlike traditional office environments or early remote work, output can now be tracked more directly through generated results and activity. This shifts productivity measurement away from physical presence or perceived activity toward actual deliverables. That increases transparency but also reduces ambiguity in assessing performance. Individuals who are not producing consistent output become more visible over time, especially in environments where AI tools accelerate baseline productivity. It also raises questions about how organizations define meaningful work when generation speed increases. Does higher visibility of output lead to better performance—or just higher pressure to constantly produce? Subscribe to our podcasts: https://securityweekly.com/subscribe #Workplace #Productivity #SecurityWeekly #Cybersecurity #InformationSecurity #AI #InfoSec
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