People with very high IQs tend to be really awful at spotting patterns in systems with similar properties to things like dating, building a wall, or growing things, which, if you look at nature, tends to be the majority of systems.
The only inference that would indicate this to be true is people with IQ can operate under more complex abstractions which means they do not have to atomize everything in order to understand it which naturally helps with the complexity of their understanding.
But people with very high IQs tend to be very good at detecting patterns in systems like solid-state physics, problems that tend to be hurdles in industrial science that hold back corporations from coming up with a slightly faster smartphone and a new headache tablet.
They have a propensity for mathematical logic which is a heavy component of an IQ test but that doesn't mean they actually apply themselves. The ability to learn abstractions fast is not the sole property these corporations are looking, they want a show of application not just a marking for potential. A lot of corporations aren't innovators, they've already set up a business model predicated on consistent cash flow and marketing products which aren't inherently complex to design. IQ is nothing without knowledge, and operating under abstractions in this complex world requires application of intelligence.
If a corporation is working at developing a new product, normally, their competitors are working at developing the product. Whoever gets there first, gets the biggest advantage, and so a large part of corporate profits is about speed of development. So speed of pattern detection is vital for corporations.
It really depends on the product, most corporations do not directly compete with each other instead they specialise in one area (As we can see with OEMs in car parts, Tech companies) and other companies specialising in digital services. There's less room for direct competition unless it's in an emergent market, Tech start ups are usually bought up by microsoft and google because the tech that applies that idea is easily replicable, software isn't particularly unique either. These starts up don't directly compete with silicon valley, in recent memory TSLA has emerged well in Silicon valley, and now we're seeing George Hotz compete against TSLA for Self-driving cars with Komma AI.
But when it comes to understanding maths or physics, or chemistry or biology or psychology or any part of STEM, the most important thing is ACCURACY, and so speed is not only mostly irrelevant, but it often leads scientists to jump to the wrong conclusions, which has got a lot of people killed and/or caused a massive amount of harm.
So from a POV of intelligent pattern-detection, you want to throw out speed and only keep in pattern detection of the types of patterns and systems that are common IRL.
What we have, is a system designed to produce the next generation of scientists that work in industry for corporations, helping to develop new technology that will make those corporations trillions of dollars.
IQ is part of that system, and was designed to identify highly-useful people for that system.
This doesn't illustrate the full picture: Learning scientific concepts and terminology will take up most of your time, moving to a corporate environment you may have to learn software to apply your knowledge like Mathematica, Maxim or Even R and Python for automated scripts. The accuracy part is detemined by machines, it is the easiest component because accuracy is assessed by an application of a formula, which in itself is a set of procedures which anyone can follow. IQ is important precisely because it predicts mastery/competencyof a subject better than any other variable, not because of accuracy. Fluid Intelligence also helps with adaptability to a corporate environment consistently changing with tech.
You'll never see people get a job with a high IQ especially in a STEM field. Corporations want a demonstration of applied intelligence rather than a lucky genetic mutation. When we consider over a threshold of 125 conscientiousness is a big driver in most companies, there are very few innovation hubs. I can imagine silicon valley is full of highly bright individuals combined with conscientiousness, NASA CERN SpaceX, agencies of that caliber. Still, it's a lifestyle of working long hours and constantly refactoring products, which some very bright individuals may see the flaws with this system and prefer something that allows them to grow personally.
Corporate wants two things from an individual:
-Competency
-Subservience
It is best not for a low IQ individual to manage a High IQ one, because they might not have the ability to understand the individual and this will cause some internal problems. If you have an individual who's competent and conscientiousness, they will work under someone who is superior all day because they strive to be better. This also ensures a certain loyalty to the company from that person.
In the past, corporations took over a lot more than just paying people. Someone like Einstein or Turing would have been given digs (a room in university dorms), been a regular at a university dining hall where a cook would cook meals for all the students in the college, been invited to university mixers where he could meet friends and a girlfriend, and so on. They were the special ones without which the scientific understanding that made new gadgets that corporations would sell for billions, would not exist. Their ideas would be handed to others who would develop them into products.
ut then as technology developed, round about the middle of the 20th century, things changed. Corporations switched from showing a preference for employing people like Alan Turing or Albert Einstein, and seemed to prefer employing people like Elon Musk and Bill Gates, people who didn't seem to have a monumental breakthrough in theory like Relativity or Computing theory, but were great on spotting applications of products that could make billons of dollars for corporations, and had the motivation to make it happen.
There's a role for an innovation and application. Turing created the precedent for computational models through Finite State Machines like Turing Machines. He then was able to create computers that could compute other Turing Machines, making them Turing complete. It's the same with pure mathematics, there isn't much of a corporate function because the knowledge hasn't trickled down from the geniuses to be applied in modern society.
Innovation just occurs on different levels of abstractions: Einstein completely destroyed physics as they knew it with General and special relativity and light-wave duality, Turing completed a computational model that ensured logical completenes and delved into things like the role of deception in intelligent machines (turing test). These created the fundamentals of a subject, while corporations applied that theory to make a profit. It hasn't really changed exactly, there is still a tonne of research done by companies worldwide we just have a better educated workforce, specialisation of tasks and less fundamentally revolutionary ideas that don't sit on a bound of knowledge.
I'm too sure on the point they were given special cooks, with the exception being when they were both in the advanced institute for mathematics in princeton. Turing didn't have a terrible social life and he wasn't paraded around the place, he wasn't seen as bright as his other classmates like his school friend Christopher, he got rejected from cambridge on two occasions and kept to himself, same with Einstein really they weren't one for flattery. Corporations always wanted people like Bill Gates and Elon Musk, that never changed but these individuals are entrepeneurs and visionaries, they weren't going to be some corporate lackey for their lives. Corporations want lackeys, and super geniuses don't make good ones because they're probably at a level of competency where they can create their own company and then sell it down the line.
The old IQ system was simply not designed to measure the new desirable traits of modern corporations. But, they still want people like Elon Musk and Bill Gates, and so they need people who have a high IQ score, but need to see more than that in them.