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Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity. They will also help address “moonshot” societal challenges in areas from health to climate change.

At the same time, these technologies will transform the nature of work and the workplace itself. Machines will be able to carry out more of the tasks done by humans, complement the work that humans do, and even perform some tasks that go beyond what humans can do. As a result, some occupations will decline, others will grow, and many more will change.

While we believe there will be enough work to go around (barring extreme scenarios), society will need to grapple with significant workforce transitions and dislocation. Workers will need to acquire new skills and adapt to the increasingly capable machines alongside them in the workplace. They may have to move from declining occupations to growing and, in some cases, new occupations.

The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities.

Lots of high-minded technological thinkers, particularly Elon Musk, have proposed a universal basic income, a form of wealth distribution that ensures every citizen receives a baseline income whether or not they are employed, as a likely solution to the problem of workforce automation. But the White House report takes a more somber approach, describing a basic income as “giving up on the possibility of workers’ remaining employed.” Instead, the report suggests a number of policy proposals (like Obama’s national free community college initiative, and expanded unemployment benefits) as ways of actively facilitating the transition into a more AI driven economy.

Basically chauffeurs, truck drivers anyone who does driving for a living their jobs will be disrupted more in the 15 to 20 year time frame and many jobs that seem a little bit complex, chef, waiter, a lot of things will become automated we'll have automated stores, automated restaurants, and all together in 15 years, that's going to displace about 40 percent of the jobs in the world.

Because I believe in the sanctity of our soul. I believe there is a lot of things about us that we don't understand. I believe there's a lot of love and compassion that is not explainable in terms of neural networks and computation algorithms. And I currently see no way of solving them. Obviously, unsolved problems have been solved in the past. But it would be irresponsible for me to predict that these will be solved by a certain timeframe.

UBI adds money to the economy without increasing production or output. This is how you cause inflation: The creation of money without consideration of the real resources available to you.

FJG adds money to the economy by increasing productivity and output. This is how you avoid, or greatly reduce the severity of, inflation. It forces private industry and the military to up their game, in order to be competitive with the FJG: better than bare-minimum living wage, benefits, and working conditions.

If the FJG creates “busywork” pointless jobs, it is not a problem of the FJG itself, but rather a reflection of poor implementation of the FJG at the local level. There are basically an infinite number of genuinely useful things to be done at the local level, throughout the country.