Robots don’t steal jobs; Robots steal tasks Where they are leading us to

Do you think your job is safe from the Robo-uprising? Think again.

In 2015, the UK exported more services than goods – don’t make much stuff, but were good at moving information around. Well-paid and valuable jobs created value by changing meanings.

Change is driven by both the increasing capabilities of digital systems – machine learning big data, all the good AI buzzwords – and the changes wrought by a digital society.

It is weird to think, given the normalization of the way we live today, that with some professions, only certain people with a particular knowledge are allowed to do certain work and getting access to these, people are limited by where you are and who you know.

Naturally, in this world, all sorts of dodgy power relationships evolve, but this has been a case for so long that it seems natural.

Such thinking however, ignores the artificial nature of these restrictions.

What if someone or something could fulfill their function from anywhere on planet? I it could give same level of professional services. Then, it could,

  • Rapidly plunge traditional professions into a new economic reality
  • Drive the price of professional services down
  • The power of academic and geographic rarity be neutralized

A good deal of law, medicine, accountancy be aligned on a flowchart – start at the top and work downward – is the patient alive or dead? If dead, Stop. And, so on. A high proportion of rarified professional work is entirely diagrmmable in this way. You can make program on computer as well.

If a modern AI can beat a Go grandmaster,

  • It can fight a traffic ticket in court
  • Do your accounts
  • Organize your diary
  • Invest your money

In 2016, it has give rise to companies whose digital systems have replaced humans. Where they are located, is irrelevant. They are only getting smarter.

Task by task, certificate by certificate, AI powered companies are doing the jobs solely through artificial means, that have traditionally been expensive.

Computers were built to manipulate data.

By 2017, they are really good at it.

Perhaps, learning to make things would have been a better idea.

Suresh Shah, Pathfinders Enterprise

*******************************************************************************

Adapted from an article by Ben Hammersley, Futurist and Technologist, a Global Speaker

Be Sociable, Share!

Comments are closed.