Daron Acemoglu and Pascual Restrepo from The National Bureau of Economic Research at MIT in the US have just released an outstanding [in my view] working paper titled:
As many long-time readers and clients would know, one of the core propositions of many of my presentations is the new and unique set of challenges automation/artificial intelligence places on modern labour markets and the direct impact it has on long-run trends in employment, education and skills planning.
The extinction of processes and skills rather than the transition of processes and skills mean large net-losses in employment opportunities for human labour in the future.
This is what Keynes  referred to as “technological unemployment”.
We are perhaps seeing this most starkly in the employment-to-population ratios, particularly amongst the youth labour markets.
Combined with the growing irrelevance of traditional metrics [such as GDP] as a useful/meaningful measure of activity/well-being/growth, we see a perfect storm of “booming” wealth but collapsing “participation”.
In essence, they find employment and wages fall,
Acemoglu and Restrepo state:
We analyze the effect of the increase in industrial robot usage between 1990 and 2007 on US local labor markets. Using a model in which robots compete against human labor in the production of different tasks, we show that robots may reduce employment and wages, and that the local labor market effects of robots can be estimated…
On wages and employment
According to our estimates, one more robot per thousand workers reduces the employment to population ratio by about 0.18-0.34 percentage points and wages by 0.25-0.5 percent.
Here is the challenge, in stark numbers. Planners in all jurisdictions should familiarise themselves with this excellent paper and at the very least, consider the very simple calculus:
More people, less jobs