The Robots Are Coming for Garment Workers. That’s Good for the U.S., Bad for Poor Countries

[Centaur]

They have to find some other jobs.But many would not be able to find and revert back to their traditional roles.

This is going to be a huge blow for those poor. Will Bangladesh Government be able to find them some works? Otherwise they will face the extreme poverty that is decreasing in Bangladesh.
Capitalism always has it's own way to spoil everything. There are both good and bad side of technology. Yet if garments owner will use robot no one can blame them, as no reason.
The real problem is a hoax led by modern world and that is population can be assets. In reality too much population is just burden. Well it only can be assets for capitalism because as much as the the population will increase, they will work for minimum wages. And now poor peoples gonna starv because of capitalist favored technology.

 

[UKBengali]

Well leaders alone can't solve it either. They're only 1 part of the solution so let's not get stuck there.

This is an interesting article that shows how many emerging economies are struggling with this threat.

https://www.ft.com/content/9f146ab6-621c-11e7-91a7-502f7ee26895


We still probably have 10 -15 years to make as much money from garments as possible and in the meantime we have to train young people for industries of the future.

I am optimistic that by 2030 BD will become have weaned itself off dependence in garments. Plenty of investments are being targeted at creating other industries.

 

[EasyNow]

I am optimistic that by 2030 BD will become have weaned itself off dependence in garments. Plenty of investments are being targeted at creating other industries.

Yes bro, I'm of a similar opinion. I have confidence in BD talent to find new opportunities

 

[Homo Sapiens]

I am optimistic that by 2030 BD will become have weaned itself off dependence in garments. Plenty of investments are being targeted at creating other industries.

Currently Bangladesh is in a crossroad.20 years of Garments boom has taken our economy to a stage from where capital formation from it's earning will allow us to invest in other industries.This is the crux of every successful garments industry saga.From Japan, South Korea, Taiwan to China,Turkey.This industry allow a very poor, capital starve country enough export, low paying job for it's poverty stricken masses thus turning them into consumers as well as vital capital to it's rich entrepreneurs to invest in other industries.Which is now happening in Bangladesh. Currently we are experiencing a rapid expansion of light and medium industries.

 

[Bilal9]

They have to find some other jobs.But many would not be able to find and revert back to their traditional roles.

American or other highly developed country's per hour salary is many times greater than intercontinental shipping cost.For example, suppose an average American worker with automation will produce 100K shirts in a year with a salary of 50k USD.That 100k shirts can be put into a single ship container and can be transported from BD to USA with just 2622 dollar shipping cost (per ton mile freight cost by water is around 1 cent, Chittagong to New York-10,925 nautical miles, so, 24 ton container shipping cost in this route is 2,622 dollar ). So you are getting 1 year worth of an American works in form of just a container shipped from BD to US with 1/20th of the salary. This is a rough calculation where 100k shirt per year per worker and their combined weight of being 24 ton are purely an educated guess.Most of the other heavy industry like Automobile is already highly automated, still big automobile companies are outsourcing their car plants in developing countries with cheap labor like India, Vietnam,China etc.While even with automation, garments will still be more labor intensive than other industry.

Thanks for the explanation Bhai. Couldn't have done better myself.

 

[Cybernetics]

Better start with that MIT online education ASAP (courses are free)
https://ocw.mit.edu/index.htm
https://ocw.mit.edu/courses/find-by-topic/