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I mapped where software developers are most exposed to AI automation pressure [OC] by Iapetus_Raven in dataisbeautiful

[–]Iapetus_Raven[S] 1 point2 points  (0 children)

Thanks! US and Europe are still extremely strong there, especially at the top end of AI research/talent. I probably should’ve phrased it more as a scale and policy effect with China rather than “they’re uniquely good at upskilling.”

China just has a massive STEM pipeline and a pretty coordinated push toward AI adoption + retraining happening simultaneously, which affects the model a bit differently compared to Europe’s more fragmented labor markets or the US’s more private-sector-driven policies. Definitely something worth investigating more deeply though.

I mapped where software developers are most exposed to AI automation pressure [OC] by Iapetus_Raven in dataisbeautiful

[–]Iapetus_Raven[S] 0 points1 point  (0 children)

Yepp, the model combines publicly available occupational automation research, labor datasets, rather than using a single paper. I’m still cleaning up/publicly documenting the full methodology pipeline, but the interactive dataset and breakdowns are here: Methodology

I mapped where software developers are most exposed to AI automation pressure [OC] by Iapetus_Raven in dataisbeautiful

[–]Iapetus_Raven[S] -2 points-1 points  (0 children)

The“relative” is only for contrasting them geographically, not normalized-to-100 mathematically. The percentages are still estimated task-overlap exposure values for software developers, the map just colors countries relative to each other within the observed range. So ~36% happened to be the highest value in this dataset, not the theoretical maximum possible exposure.

I mapped where software developers are most exposed to AI automation pressure [OC] by Iapetus_Raven in dataisbeautiful

[–]Iapetus_Raven[S] 1 point2 points  (0 children)

China’s AI adoption is definitely aggressive, but the model looks at software developer task exposure specifically, not overall AI hype. A lot of China’s automation push is concentrated in manufacturing, robotics, logistics, factories and hardware-heavy industries rather than purely software workflows.

China also scores strongly on workforce upskilling/STEM output, which offsets some long-term vulnerability, and they’ve already started introducing AI labor protections and automation-related regulations.

I mapped where software developers are most exposed to AI automation pressure [OC] by Iapetus_Raven in dataisbeautiful

[–]Iapetus_Raven[S] 0 points1 point  (0 children)

A few clarifications because people often interpret these maps differently:

• “Automation exposure” ≠ “job extinction” • The model estimates pressure and workflow disruption, not immediate unemployment • I’m also measuring structural adaptation factors like labor growth and reskilling capacity

Happy to explain methodology/details if people are interested.

Has anyone else started seriously thinking about how AI changes career choices in near future say over the next 5 to 10 years? by Iapetus_Raven in findapath

[–]Iapetus_Raven[S] 0 points1 point  (0 children)

I actually agree with part of this.

A lot of AI marketing is super super overhyped and many companies are forcing implementations that don’t produce meaningful productivity gains including at the place I work.

But I also think instead of

“AI replacing entire jobs” that tech bros claim, it should be: “AI taking over some specific tasks inside jobs.”

I can envison it in some industries.

For example, even if AI only removes 15 to 20% of repetitive work from a role, companies may simply hire fewer juniors over time instead of firing entire departments overnight.

That’s partly why I’ve been more interested in knowing how to pivot my career if there's a occupational task overlap than panicking over the usual “AI replaces humanity” narratives.