Using Automation to Distract from Specific Gov Policies Causing US Worker Displacement

ByPrimary Researcher

Executive Summary

  • The statistics show massive scale displacement of US domestic workers by H1-B visa holders, who are predominantly Indian.
  • However, politicians like to point to “automation” rather than their policies.

Introduction

It is curious to look at the massive US government program called H1-B or what we refer to at the US worker displacement program and notice that it is virtually never pointed to by US politicians for the outcome which is causes. This is explained in the following quotation.

As stalwart Senate Immigration Subcommittee chairman Sen. Jeff Sessions (R-Ala.) notes,”the principle economic dilemma of our time is that the very large number of people who either are not working at all, or not earning a wage great enough to be financially independent.”

President Obama likes to blame automation, noting that some workers lost their jobs becuase of the advent of ATM machines and self service kiosks at airports. But there is a much more glaring and treacherous source of the pain: government engineered, corporate lobbist – driven favoritism for cheap, immobke foreign workers over US workers.

The same politcians who preach about prosperity for all are stabbing talented, productive Americans in the back. – Sold Out

Obama’s statements are particularly interesting, as he massively increased the number of student visas, called the OPT without any congressional approval.

And companies like IBM have been caught attempting to hire these foreign student visa holders as we cover in the article How IBM Advertised for OPT Student Visa Holders for Low Paid Jobs.

IBM Ignores its Outsourcing and Displacement of US Workers…to Focus on AI

For decades IBM has been displacing US workers. However, when the topic of employment is brought up, this displacement is never discussed. IBM and MIT’s study proposes the following.

The IBM-MIT study offers a bit of nuance to that discussion. The researchers used machine learning to analyze 170 million U.S. job postings between 2010 and 2017. They found that out of 18,500 possible tasks employees might be asked to do on average, the number had fallen by 3.7 over seven years. A drop, though hardly radical.

What is 3.7/18,500? It is .0002.

This is the proposed change to the employees? Is this a percentage worth discussing?

Secondly, the term “hardly radical” is used? Infinitesimal might be a more appropriate term. Yet, since 1990 millions of US citizens have been displaced and had their overall work environment made worse by seeing it flooded by foreign workers. Does IBM or MIT have anything to say about this?

They would instead focus on the .0002 change driven by AI.

Massive Number of H1-B Visa Entrants and Other Visa Categories

Politicians and IT media outlets are lying or complicit in lying about how many H1-B visas are being approved every year. The cap numbers vastly understate the numbers, because most of the H1-B visas that are approved every year do not apply to the cap. We cover this in the article How the H1-B Program Understates The True Number of Yearly H1-B Visas.

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Conclusion

Obama and many other politicians are happy to support the displacement of US workers for corporate donations as we cover in the article What Politicians are Co-Sponsoring of the H.R.1044 IT Immigration Bill. And then gaslight the US population by stating that the actual issue is something the politicians can’t do anything about — automation.

References

*https://www.amazon.com/Sold-Out-Billionaires-Bipartisan-Crapweasels/dp/1501115944/

*https://venturebeat.com/2019/10/30/ibm-ai-will-change-every-job-and-increase-demand-for-creative-skills/