Future of Employment: How Susceptible Are Jobs To Computerization?
turkeydance writes: What job is hardest for a robot to do? Mental health and substance abuse social workers (found under community and social services). This job has a 0.3 percent chance of being automated. That's because it's ranked high in cleverness, negotiation, and helping others. The job most likely to be done by a robot? Telemarketers. No surprise; it's already happening. The researchers admit that these estimates are rough and likely to be wrong. But consider this a snapshot of what some smart people think the future might look like. If it says your job will likely be replaced by a machine, you've been warned.
This is incredibly simplistic, like all kinds of analyses like this. Anything that really requires a mind rather than a simple result of calculation or mechanical action will likely not be replaced without some big advance. More likely, we will just have better tools for certain jobs making them more higher level — it can let them get stuff done easier - so they can do more.
That's a little sad.
You're talking about a profession that in many cases has either no training or dubious training. Anyone here have a family member that has an addiction problem? I have a cousin that is a heroine addict and a brother that is an alchoholic. My brother is also bipolar and god knows what my cousin is at this point... because the drugs do damage the brain.
But the point is that I've some experience with these people and they're often very nice, sometimes they're quite smart... but this is not what I'd call a "science" or even "medicine". A lot of it is witch doctorism. And that can make people feel better. But that is because the believe it works.
Here is a better list:
1. Artists: Computers are terrible at art.
2. Any kind of design or engineering work. Computers will be used as tools but they're not going to do the actual design work. They might automate the implimentation of previously designed concepts. We see that with CPU design where in something designed once is replicated by computer. But the actual design was done by humans.
3. Maintenance and repair work. Repairs are almost never carried out by a machine. You can find a factory that is 100 percent automated and it actually still has human repair techs keeping the robots working.
4. Programmers are not getting automated. The reasons are many but mostly the issue is that we've yet to come up with a machine that can self program or can accept instructions to write a program and then translate that into code with any competence.
5. Construction work on buildings is unlikely to get automated. You're seeing people do prefab and even talking about 3d printed houses etc but even if you include that there is going to be a lot of human labor happening around that.
I could go on... the fears of everyone losing their jobs to robots are ill founded. They're actually going to save us from having to do jobs we hate. Name a job a computer does that you'd actually want to do? There aren't any.
I've decided to stop wasting my time responding to AC trolls/sockpuppets... so if you want a response from me... login.
Head as far towards design and away from implementation as possible. As a designer, automation will make you more and more powerful. Design a house, run automated integrity checks on it, have it printed with the house-sized 3D printer. Even better, design the marketplace for trading house designs. Design the 3D printers that make houses.
On the other hand, applying a skill repeatedly, even if there is some judgement involved, is on a long term trend downward. Lawyers who repeatedly draft the same contract over and over again are already being automated out of existence. Those who can create new contract patterns, however, continue to be in demand.
Another way to think about this is in terms of creating the new vs. applying the old. I once got the chance to visit the Bauhaus archive in Berlin; the design skills and output they produced 100 years ago would still be applicable today despite the radically different consumer landscape.