Hard industry still breathing
Yes, we have to admit, there are still a lot of decomposition processes left. Of course, I am not referring to agricultural terms that have to do with manure here, NO. If I should say that artificial intelligence is still at an infant stage, it could be debatable because already it seems it has eaten up many industries and being even more precise, the digital related ones.
When AI surfaced, one of the easiest disruption picks was in the area of accounting. Of course, you can't doubt that this tech is good at everything related to computing. It entered into the industry of oral feedback. Another easy pick as it took advantage of ALL the language translators and translations that were currently on ground.
Ok, it moved on, financial chart breakdown is still one of those and we are seeing how easy it may seem to predict where a company is going. Career overtaking was the Next full view, it is something I have discussed severally and I am sure it was even a part of my last article. One doesn't currently need a career to survive or better put, live a good life.
Those who know how to leverage technology are winning. For me, if technological advancement could help give me the needed spare time, Bring It On.
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This is one of my stances with artificial intelligence, I know this tech will be exploited by bad actors, nevertheless, my concern is how it will fill in some or perhaps many blank spaces, giving us Enough time to think of other things.
So everything digital has been taken over, this is more precisely what one would call the soft industry. AI actors, artists, marketers, advertising, data summary and so on. Will it stop there? How long until AI takes over the entire physical space in work.
Consider the ongoing processes of RWA (Real world Assets) tokenization and how humanoids can replace the remote work force. I have read several articles concerning how Robinhood keeps adding tokenized assets to their list.
The big one will really be this RWA when there are global regulations on its operations. We are in this article turning our attention to the hard industry and the gap time to fill up its work processes. Tesla is working on autopilot cars, something they are debating will save more lives than humans driven cars in the near future.
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There is a point here because these software are emotionless, doing away with any form of distraction and shock when one has to make a quick seconds decision to evade an accident. So for this, personally, I would tick autopilot. The only flaws to look at are Network or program glitches (malfunctionings) which would come at a cost.
I know there will continue to be a test run on this for perfection. So it means very soon there will be no need for the front seat and its driver; cap drivers should note it.
There are still several many industries still retaining the human work force. For instance, the agricultural sector. There are still a lot of things that need human monitoring in this sector. Asides from machinery now present for large scale agriculture practices, it still lacks high level digital automatic processing. You can also consider the production floors, it is a mixed human automation ground for now, let say a 60:40 (human: machine) collaboration.
We are looking into a near future where the entire production floor will be shifted to 90:10 or 95:05 (machine: human) collaboration. Of course this will be triggered by how better these LLMs AI machines will get. There are other industries to talk of, the health industry and the rise of AI doctors is one of those.
To conclude, let me add, some industries will still be occupying the human workforce depending on its complexities. Nevertheless, this doesn't open up the ground for those staying in such work places to be at ease. Hard industry may have breathing space but not for long or perhaps too long.
The best option will be to look forward to how one can evolve rather than waiting for any pending to take over by surprise. Sooner than later, a lot of rigid working gaps will be closed.
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