AI has already killed your job

Some facts are indisputable. One is that technical progress has been the invariably exponential curve along which mankind has built itself, no offense to technocritical philosophers. Let me explain why the end of jobs is a fact without mystery.

Photo by Simon Zhu on Unsplash

Since 2010, I read many articles in my feeds that tone down or deny automation of blue and white collars by AI. This is normal, people don’t like talking about death. They prefer telling themselves that death doesn’t exist. As denial can be a mourning stage, let’s give skeptics time to digest what’s happening to them. Remember what Tyler Durden told us: ‘It’s only after we’ve lost everything that we’re free to do anything.’ AI will destroy jobs and the very idea of ​​job readiness — splendid! We will have lost everything but we will be free to do anything we want.

Funny fact: Thomas Edison invented the light bulb allowing us to have sunlight at home and on the streets around the world 24/7. Meanwhile, scientists like Henry Morton were saying the bulb was going to be ‘a conspicuous failure’. Ironically, Edison himself began spitting soon after on Nikola Tesla’s alternating current. ‘Nobody will ever use it’, he said, ‘it’s just a waste of time’. Today, AC power takes cable electricity around the world.

History has proved skeptics wrong, why wouldn’t future do so too?

I’ll stay logic through thick and thin. What is AI? Talk to any data scientist and they will answer that it’s only mathematical modeling. Since everything can be modeled by math, even freakish multi-dimensional forms, biological intelligence could as well. But to model something well, first you must know it well. Until we learn how to know the human brain as good as our pocket, we won’t be able to model its operating system and even less to code an AI in its image. To put it differently, neurology is the future of artificial intelligence.

Hear me well, the tech community has already automated many very advanced learning processes: deep learning, reinforcement learning, q-learning, continual learning, attention, memory, etc. But let’s face it, there’s no strong AI out there yet. Companies like DeepMind behind AlphaGo (acquired by Google in 2014) have taken the lead and seek to introduce into machines new processes such as intuitive understanding of physics, generalizing acquired knowledges in unknown contexts, quick learning of new concepts from limited examples, imagination and planning. The arrival of internet in the 2000s was yesterday, guys. Behold! We are at the very beginning of a new technological inflation era where each innovation will have an exponential accumulating effect on the state of the art.

So long Lee Sedol…

Add to this the mechatronical boom. Do you really think we’re 200 years away from having self-driven robots capable of transporting, cultivating, feeding, caring, educating, analyzing, accounting and building houses? Of course not, it’s tomorrow. But back on our topic. What’s employment? It’s the object for what you’re employed. By who? By someone. Why? For the purpose of the person who employs you. Therefore, employment is the use made of a person and not the use a person makes of oneself. The final question being: why use humans when we can use incomparably more productive robots?

Oops, humanity just lost its job.
Photo by Ricardo L Tamayo on Unsplash

Oops, humanity just lost its job. Don’t worry, it doesn’t really matter. We’ll catch up, but it won’t be thanks to job centers. Have you ever heard about the bizarre businesses in Cuba? Dandy is my numero uno. Since the embargo in the 50s, Fidel Castro had for so many years banned so many activities that Cubans became pros in filling gas lighters to avoid rolling thumbs all day long. That’s how it is, humans are social animals (see Maslow’s hierarchy of needs). My point is that if robots did make humanity jobless, there would still be this unappeasable desire to do something in life and contribute to the group.

Job is dead, long live projects!