The Unforeseen Way AI is Taking Jobs from Humans
Discover the unexpected third evolution of AI, where humans like Jim in 2010 lost their jobs to AI-powered systems. Learn how routine jobs became redundant and how this shift pushed individuals like Jim to chase their dreams even harder.
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Everyone thinks there are only two endings for the AI evolution.
The first is that AI remains a helpful tool but never outsmarts us.
Or the second, AI goes full blown evil like SkyNet and WhiteBusOut.
Turned out, there was a third ending.
For the ending to make sense, we have to go back.
The year was 2010.
Humans and more specifically, Jim, were in stage 1 of losing their jobs.
In 2010, Jim was fresh out of college. He landed a data entry gig. Every day, he punched
in data from one place to another. It was boring as heck, but it paid the bills, and Jim
knew he had to survive first if he was determined to become a writer.
His first job, however, was short-lived. AI was already in its infancy, with rule-based
systems showing up everywhere. These systems, precise and unaring, could automate any process
that had clear-cut instructions, making routine jobs redundant.
Clerks, typists, assembly workers, and Jim were the first humans to lose their jobs to AI.
It was a blessing in disguise for Jim, looking back, it pushed him to chase his writing dreams harder,
landing him a creative job at an ad agency which sheltered him against the second stage of AI.
AI then had context awareness and retention. At this stage, AI systems could understand and
and interpret the context of the data they were working with.
They could retain information from previous interactions and use it to make better decisions
or responses.
If your jobs were all about following instructions and managing paperwork, you were screwed.
Virtual assistants like Siri or Google Assistant were created, and they put people in lower
level admin out of work.
For example, receptionists who take calls and manage schedules were no longer needed.
AI could do it perfectly.
Jim was in two words, he figured his creative job was safe from the AI takeover.
After all, new technology has always displaced jobs for hundreds of years.
Electric lighting made lamp lighter obsolete, printing destroyed scribes and bookbinders.
Trains replaced stage coach drivers.
Whenever technology destroys jobs, it also creates new jobs.
Everyone would be fine.
But then, the third stage of AI arrived, with domain-specific expertise.
Here, AI becomes experts in specific fields.
For the first time, a machine developed by Google was able to defeat the world's number
one go player, KGA.
In case you don't know, Go is a highly strategic game with over as many legal positions as
the number of atoms in our universe.
It's insanely difficult.
Yet, AI mastered it.
Domain Expert AI displaced a lot more specialized jobs,
paralegals, junior researchers, diagnostic technicians,
and other professionals who provide mere support roles in their fields.
In a nutshell, if your jobs relied on the retrieval and summary of specialized knowledge,
you were screwed.
AI could now parse through centuries of data in the blink of an eye.
Stage 3 was immediately followed by Stage 4,
with the arrival of OpenAI, a narrow AI with the ability to reason.
It can apply logical reasoning to solve problems and make decisions.
It can write code, compose music, write poems and novels, and generate hyper-realistic videos
out of thin air.
