Will increasing levels of AI/Automation cause a meaningful reduction in sweatshop labor by 2035?
Will increasing levels of AI/Automation cause a meaningful reduction in sweatshop labor by 2035?
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2035
55%
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Will AI or increasing automation meaningfully affect sweatshops?

https://blog.gitnux.com/sweatshop-statistics/

A 2011 study found that from 2006 to 2010, the percentage of sweatshops globally increased by 29%.

The US Department of Labor has identified sweatshop labor in 77 countries’ goods.

The global sweatshop industry is worth an estimated $1.5 trillion per year.

This market will resolve YES if a news article, report, or relevant wikipedia page or similar is posted to the comments indicating that AI or Automation have caused a meaningful (15% or greater) reduction in sweatshop labor by 2035.

Metrics Used:

This reduction can either be a >= 15% decrease in number of sweatshops, number of countries with sweatshop labor, or estimated industry value.

If no such comment is posted by market close this will resolve NO.
I will post a comment if I find a relevant article myself.

I will NOT bet in this market.

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1y

A 2011 study found that from 2006 to 2010, the percentage of sweatshops globally increased by 29%.

Do we have any more recent stats?

predictedYES 1y

@firstuserhere

Also

This reduction can either be a >= 15% decrease in number of sweatshops, number of countries with sweatshop labor, or estimated industry value.

What is the reduction being measured from, i.e. 15% decrease in number of sweatshops etc from when?

1y

@firstuserhere Can either find raw numbers or post an article with a headline saying a relative reduction. Anyone can find more recent numbers and post them as well.

1y

Great market

1y

what if they reduce to those targets (i.e., ~65 or less countries) without it being directly or solely attributed to AI?

1y

@PipFoweraker The article should mention AI or Automation in a relevant fashion.

predictedYES 1y

@SneakySly Thankyou! That makes it a little less likely IMO but probably still underbought, adjusted accordingly.

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