Andrea 
๐ฎ๐น ๐ฌ๐งAny network engineer lives on the edge of configuration, analysis and troubleshooting. Even a network architect. ๐จโ๐ป
Think about how often we:
โข Correlate logs, SNMP traps, telemetry and packet captures to find the real root cause ๐
โข Spend time with wireless issues like roaming, sticky clients, RF interference and capacity ๐ตโ๐ซ
โข Analyse path changes, flaps and convergence in complex routing environments ๐
โข Validate policy and segmentation (ACLs, security rules, VRFs, SDA/ACI policies) against what the business thinks is happening ๐
โข Spot patterns in performance issues that only appear at scale or at weird times of day โฐ
Used well, AI tools can genuinely improve the quality of our work while cutting execution time dramatically. โก
Better designs, fewer mistakes, faster troubleshooting, clearer docs.
All good on paper.
What I find interesting, though, is how this plays out in real life. ๐ค
Instead of using that time-saving to improve our work-life balance, what often happens is that once we deliver faster, we are simply given more work.
More projects, more tickets, more โquick asksโ, more meetings squeezed into the same week, because โyou are efficient with those tools nowโ. ๐ฅ
The result is a strange paradox.
We are more productive than ever, but not necessarily less tired.
AI boosts output, yet the space it creates in our day is quickly filled with additional tasks, not recovery, not learning and not thinking time. ๐งโโ๏ธ๐๐ง
I am genuinely curious:
๐ Have you noticed the same behaviour in your team or organisation?
๐ Are you using AI to work better, or simply to work more?
I would love to hear how others are experiencing this shift. ๐ฌ
#cisco #ccde #ccie #ccnp #ccna #netengs #AI #worklifebalance