Elaborations on the reasons women will be least replaced by AI and men most replaced. Ultimately there are two things going on.

First, the benefits of women over men in the workplace for the corporations and the state.

Second, the detrimental effects of women in the workplace for women and men and whites.

1. Corporations need only a small number of employees who “think outside the box.” Trademark. Everyone else must conform. Corporations want three engineers and one accountant who have ITP (Independent Thought Process). Corporations want HR bints, secretaries, janitors, middle management, IT, and everyone else to be obedient. To have no moral compass, a need to conform, a desire to obey, and debt.

Women.

Corporations as we know them wouldn’t exist without women any more than they would exist without government.

In a recreation of the Milgram Experiment which involved electrocuting a real puppy 54% of men turned the dial up all the way. “Without exception” women turned the dial up all the way. One hundred percent of women electrocuted a puppy, at full voltage, when told to do so. No moral compass. Obedience.

Read it here: https://CynLibSoc.com/clsology/pdf/women-torture-puppies.pdf. It’s only 2 pages long.

Even when the corporation wants people who “think outside the box” what do they want these people to be thinking about? How to get customers to conform and buy shit they don’t need. How to get other people to think and act inside the box.

2. The State wants you to pay taxes.

When men lose their jobs they have to get another job. There is no option for men to drop out of paying taxes or get welfare. Women have the option of getting married and not working. Or receiving loads of government welfare. Especially if they spit out babies.

Keeping women employed keeps them paying taxes.

3. Corporations want you to consume.

Women tend to consume, destroy and spend.

Men tend to create, invest and save.

Corporations make money because people buy their products and services. Reducing the amount of money controlled by women reduces the amount of money women can spend. This is not in the interest of corporations given how much consumerism is aimed specially at women. Go to a shopping mall or strip mall. How many stores are for women? How many are for men?

Every time a woman buys something she pays taxes.

4. Education. The scam and the indoctrination.

If you haven’t picked up on it by now: conformity, obedience, degeneracy, debt. Keeping women on the career track keeps them on the education track. I know a 50 something year old woman who has a government job and is still going to college. Still as in has degree but getting more degree because she’s been encouraged to do so by her supervisor.

5. The Fertility Scam.

When women are young and fertile you get them into college, then into jobs. Focus them on education and career so they don’t have children when they are biologically optimised to have children. Once their eggs are scrambled, and they are unhealthy from eating processed food and being vaccinated you charge them large amounts of money to induce pregnancy in the deserts of their loins.

They pay taxes on the fertility treatment.

This transfers money to the medical industrial complex. It also creates more Down syndrome babies. Which creates more jobs for women to take care of other women’s children while not having children of their own until they are barren and need fertility treatment. All these women are paying taxes.

You’ve seen the headlines.

How the AI takeover might affect women more than men. The tech boom is a blow to gender equality

https://theweek.com/tech/ai-takeover-affect-women-men

AI poses a bigger threat to women’s work, than men’s, says report

https://www.reuters.com/business/world-at-work/ai-poses-bigger-threat-womens-work-than-mens-says-report-2025-05-20/

AI poses disproportionate risks to women

https://www.brookings.edu/articles/ai-poses-disproportionate-risks-to-women/

Artificial Intelligence and Its Unique Threat to Women

https://www.captechu.edu/blog/artificial-intelligence-and-its-unique-threat-women

AI poses a bigger threat to women’s work than men’s, report says

https://www.nbcnews.com/tech/tech-news/ai-artificial-intelligence-threat-women-work-labour-organization-rcna207871

The Effects of AI on the Working Lives of Women

https://publications.iadb.org/en/effects-ai-working-lives-women

Women three times more vulnerable to having job taken by AI than men, new report warns

https://www.euronews.com/next/2025/05/24/womens-jobs-three-times-more-vulnerable-to-being-taken-by-ai-than-mens-new-report-warns

This is a scare tactic. Make women afraid. Manipulate them into hating men even more. Intensify the divide between men and women. Get them impregnated by niggers.

Those three engineers and one accountant with ITP are not going to be using AI. They will have drones serving them who use AI. Low paid, high spending, debt holding, tax paying, obedient, female drones.

Is AI really going to be all that?

I’m not saying these things can never be achieved with AI, but they probably cannot be achieved with even the most awesome enhancements to the current technologies, because they are lacking in some of the fundamentals required, and there is currently no clear way to overcome this. As a chap from Gartner once said to me, “Nobel Prizes and Fields Medals will be handed out” before these technologies reach the state of maturity where they can fulfil the promises made in Rob’s article.

Another senior Gartner analyst says that AGI is unlikely to appear in any useful form in the next 10 years. Meanwhile, (((Goldman Sachs))) do not currently see how about half of the $1Trillion invested in AI technology to date will ever be recouped. There are good reasons to suspect that even at $24 for a monthly subscription, OpenAI are haemorrhaging money on ChatGPT.

There are other obstacles, too. Today’s AI is enormously power hungry, particularly during training, to the point where it won’t scale to the levels needed to fulfil any of the promises Rob writes of, without significant breakthroughs – there simply aren’t the resources on the planet to overcome that. Nor are there the words: a current crisis is that, having already poured the internet’s entire supply of high-quality text into the training of the models, researchers are running out of ways to better train the LLMs we have today. They are seriously experimenting with the idea of models generating their own training data. Iterative systems generally do one of three things: They tend towards zero, or infinity, or chaos.

We also face various possible logistical challenges. Global supply chains are fragile and likely to break down as the USA repudiates its Bretton Woods role as security provider for global shipping lanes. The only country in the world with the capability (on a 10 year timeline) to produce the silicon for high-end AI systems is Taiwan, which has China breathing down its neck, waiting for the right time to fulfil Xi’s promise to reunify. Peter Zeihan thinks we’re likely to reach a point of scarcity where we must choose very carefully where to deploy AI. See the books “Goodbye Globalization” by Elisabeth Braw, and “The End of the World is Just the Beginning” by Peter Zeihan for more on these things.

So, while AI has enormous promise indeed, there is a mountain to climb, and we don’t yet have sight of the peak or the tools to survive when we get there.

https://www.freespeechbacklash.com/article/no-ai-revolution-horizon

Remember when I was wrong (you know, the one time ever) about teachers being replaced by computers. Keeping women in teaching positions is long term detrimental to a functional civilisation. Keeping women in all these non-jobs which can be done by computer software is also long term detrimental to a fictional civilisation.

The mass unemployment of women would be a long term net positive. That’s how you know it’s not going to happen.

Source material:

https://CynLibSoc.com/clsology/sources/666w000010.zip