Learning technology solutions for when machine learning, autonomous vehicles, and other technology jobs become more and human jobs become less, it will be far safer to merge and work with Artificial Intelligence (AI) rather than trying to outwork them.
Will artificial intelligence and machine learning jobs take all of the human jobs we see today?
The short answer is: yes, and it had already started decades ago, and now it is just a matter of time.
As we see a rise in autonomous vehicles like Telsa’s now sharing the roads, autonomous vehicles will eventually be the only cars on the road.
Tesla is also a self-driving truck company as they also have the technology for big trucks like semis. Meaning any jobs to do with driving will go away.
Google started the self-driving car project in 2009, and the goal was to drive autonomously throughout ten uninterrupted 100-mile routes.
The autonomous driving technology company, Waymo, became a company owned by Alphabet (Google’s parent company). Therefore Google’s autonomous vehicle project became Waymo.
Don’t count Apple out either because they have a “secret autonomous vehicle” project of their own.
Speaking of Apple, do you remember the last project Steve Jobs worked on called Siri?
Siri brought us things like Amazon’s Alexa or Google’s Home Mini, etc. AI examples are everything from Siri for the iPhone to the machines at the bank that give you money.
So it is safe to say AI’s pros and cons are about equal, or depending on who you ask, it works much more efficiently.
AI is even changing the way we see the world. Psychedelics invented by Artificial Intelligence
AI has made life a lot easier, well at the same time, it allows people to be far too lazy.
Artificial intelligence vs machine learning is very similar, and both are growing exponentially. And soon, machines will create better machines than any human is capable of creating.
Robotics companies and AI in the workforce have been around for decades now.
Since the sixties, robotic arms have been used in factories for heavy lifting and to optimize production.
Since that time, AI is becoming more intelligent.
As artificial intelligence replaces human jobs as they enter the workplace, computers and other machine learning devices enhance they too are and will push out their human equivalents.
That’s why it’s essential to strategize as many learning technology solutions now before it’s too late.
Scientists and machine learning engineers believe that this exponential growth of learning technology could lead to all of our jobs potentially being in limbo and all gone by 2050.
Oxford University released a study claiming that 35 percent of prevailing jobs are at risk to machine learning over the next two decades.
In addition, a Bloomberg report suggests machine learning AI can replace up to half of US workers within the next 10 to 20 years.
One could argue that a computer itself is an intelligent bot. They can formulate extensive mathematical equations in seconds, otherwise taking some mathematicians hours, days, possibly even years to solve.
Computers are even starting to write better software quicker and more efficiently than machine learning engineers.
IBM created a supercomputer named Watson, which connected directly to the internet. Then, they put it on Jeopardy to play against the best players to ever play the game, and it quickly won by a substantial amount.
With the rise in technology and more people connecting to the internet, we see a massive surge in censorship in America!
Ray Kurzweil is a computer scientist, inventor and futurist. He believes we are on a path in which computing power will eventually surpass human intelligence by 2050.
When this happens, he figures we will be able to download our consciousness into a computer.
This is set to happen by 2045, at which point we will live for eternity through computers.
Artificial intelligence has already been used to replace limbs on people, such as arms or legs. They are even getting better than actual human limbs.
With 3D printing taking off and substantial biological advancements, one’s cells can even be used to re-create any organ pretty well. For example, scientists printed a new bladder out of her stem cells as her bladder quit working correctly.
Are we on a path to becoming AI as machine learning jobs are on the rise?
Could this be why humans are here?
Is this what will push the human race to advance and evolve into a new type of species?
Will this journey force humans entirely out of the workforce? Only time will tell. The best thing we can do is to come together to formulate learning technology solutions.
Better education and technology for all will give more significant opportunities for those who don’t have any.
Here are the jobs most at risk shortly:
With the rise of autonomous vehicles, it seems inevitable that taxi drivers will soon no longer be needed. Companies like Uber and Lyft have already dramatically damaged the standard taxi business and are working on their autonomous vehicles.
Not only are taxi drivers at risk, but any delivery person is as well. Everyone from restaurant delivery drivers to FedEx delivery men to amazon drivers will lose jobs autonomous vehicles.
The early days of self-driving cars are already upon us, and so far, Tesla seems to be winning that race.
Statistics indicate that around 1.3 million people die yearly, not to mention the 20-50 million injured in car accidents each year.
Autonomous vehicles will save millions of lives and immensely drive down medical costs.
ATMs and online banking are getting better, and we will no longer need bank tellers anymore.
To go even further, we now see self-checkout machines in places like Wal-Mart and other stores, which take away check-out clerks’ jobs. You could extend this to any store.
Clerks would become AI, and humans would no longer be necessary to do the job. With this in place, any store could remain open 24 hours a day, seven days a week, as AI does not need breaks and can work 24 hours a day if required.
Asian countries always seem to be ahead of the game when it comes to technology and artificial intelligence. For example, some restaurants in Japan and China already use robots as waiters, being in Harbin, Heilongjiang, a province in China.
Not only do they have 20 robots that bring you food, but they also cook noodles and dumplings for customers. As one enters the restaurant, the robots greet you with a friendly hello, and say, “Welcome to the Robot Restaurant.”As intrusive as our tech might seem, our schools and colleges are failing, and we could save education with technology.
As this trend of robot waiters gains more popularity, it most likely won’t be long before it finds its way over to the western world and puts our restaurant jobs in jeopardy.
McDonald’s and other fast-food chains have even begun implementing ordering terminals, reducing the need for cashiers in their restaurants.
It is crucial to develop learning technology solutions today before artificial intelligence has all the jobs tomorrow.
We may see AI capable of writing a journalistic story faster and more accurately than any person can. They have already tested software that specializes in machine-generated stories, invented by Northwestern University. The Big Ten Network is an early customer of this machine learning jobs technology.
They use it for sports coverage, such as baseball. They said it is far cheaper than employing people. After a game, the scorekeepers submit the data, and the computer fires out a story in minutes.
At this rate, with this type of software, all stories journalists cover may sooner or later be written by computers instead of humans.
Imagine a world where you don’t need to take out a second mortgage on your home to afford a lawyer. But, unfortunately, like most of us, one day will likely need a lawyer, even if it is just for a simple signature to buy a house, and it can get pretty pricy to hire one. They can cost hundreds of dollars an hour.
A California-based company called Blackstone produced software that analyzed 1.5 million legal documents for less than $100,000, which otherwise would have cost hundreds of dollars per document.
As this AI software gains more traction, it will drive legal prices even lower, and at the same time, you won’t have to sell a kidney to hire a lawyer.
Doctors are already using machine learning jobs to perform highly complex surgeries. Sometimes, the doctor does not even have to be in the same room as the patient. For example, when you get a blood test, they use machines to see anything wrong with you.
Picture going into a doctor’s office, describing your symptoms to the robot and maybe giving a quick blood sample or other tests, and you instantly get a diagnosis. This situation may sound like a science fiction Star Trek-type scenario, but in reality, it does not seem too far from what the future may bring.
If we put in place better learning technology solutions now, we still might have a chance at creating jobs humans can do before artificial intelligence has other plans.
It’s better to work with AI than for AI.
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