The chart above, reproduced from data by Peter Orr of 80,000 Hours, shows sample probabilities of job types that will be replaced by automation over the next twenty years. Non-creative jobs that don’t require a high level of social intelligence or complex manipulation (like a surgeon) will be highly susceptible to computerizaion.

Technologically, the same Applied Artificial Intelligence that’s leading to the computerization of enterprise workforces is also the solution to making non-automatable work more accessible to a significantly greater number of people.

Specifically, running a small business today is a truly daunting prospect despite its other rewards. Being great at the object of the business (baker, wedding planner, etc.) isn’t enough. A small business owner has to wear many hats and the weight of those decisions is enough to paralyze most people from pursuing their independent business dreams. On any given day, business owners are simultaneously the CEO, CFO, CMO, CTO, CIO and many more. By collecting and analyzing trillions of “business signals” from millions of customers, We’re is beginning to help entrepreneurs wear fewer hats by using AAI to deliver hyper-personalized business insights that take the time and weight out of previously cripplingly daunting decisions. GoDaddy is not the only one doing this, though I do believe we’re at the tip of the spear.

The shift toward small business needn’t be merely about maintaining employment levels; it can be a paradigm shift away from consumerism and toward a producer-based economy. An economy of individuals, that is, who get their core satisfaction from producing goods and services themselves vs. finding satisfaction in consumption alone because their jobs have left them profoundly wanting.

I posit that today most people choose their career at the conjunction of “what they are good at” and “what pays the most,” with little consideration for doing what they love. But the same Applied AI that’s driving job-killing automation can simultaneously help individuals follow their entrepreneurial dreams. Dreams that are tied to a third circle in the Venn diagram: “doing what they love.”

The ability for vastly more people to do work they love without having to be experts in every aspect of business could fuel a revolution toward a producer-based economy. An economy made up of millions of individuals who are doing what they love is a welcomed change that AI is helping make real. In that sense, I say bring on the AI.

Afterword — This morning we had our panel discussion on “when AI will change our lives,” at Fortune Brainstorm Tech at the Aspen Institute in Colorado. The hour was moderated by Fortune editor Stacey Higginbotham and with me on the panel was Guru Banavar, Vice President, Cognitive Computing, IBM Research; Oren Jacob, CEO, ToyTalk; Amit Mital, CTO, Symantec; Shivon Zilis, Partner, Bloomberg Beta and Adam Nash, CEO, Wealthfront.

It was a fascinating talk that I hope everyone will be able to see online eventually. Not surprisingly, the hour served to strengthen my view that the only AI worth talking about today (unless you’re deep in the trenches of Google’s X Lab or the like) is Applied AI. When we talked about Strong AI, opinions on what our future might look like and when that future might happen oscillated to extremes. It was only when we brought the conversation to AAI that we could agree on the clear benefits and harms happening from the advance of this technology.

Title Photo: Adobe