AI and job changes

Bryan Walsh writes:

While the forces of automation and AI will eliminate some jobs and create some new ones, the vast majority will remain but be dramaticallychanged. The challenge for employers will be ensuring workforces are ready for the effects of technology…In a report for MIT Sloan Management Review, Brynjolfsson and his colleague Matt Beane found that while companies are investing in robotics and automation, it takes more time than you might expect for employers to find the right uses for new technology, especially in the midst of an economic downturn when firms are “focused on keeping the lights on,” says Brynjolfsson. Right now companies are in the early stages of what Brynjolfsson refers to as the “productivity J-curve,” often seen when radical new technologies are introduced into the workplace.Rather than instantly improving productivity, there’s often an initial dip as companies spend time and money to figure out how to get the most out of new tools.

There are several key takeaways from a very well written write up on Axios. I usually don’t link from them but these made coherent arguments.

It is essential to argue for the state of AI in the enterprises. How it is going to impact the outcomes for the employees. I don’t think that the healthcare sector will remain immune to the marketing snakeoil about improving productivity. Remember, IBM Watson? They hyped it so much that it was next to impossible to find a utilitarian usage in the clinic.

The state of play between the automation and human workers will remain a dynamic entity and I am keen to explore this in the future.

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