All of the following are criteria for maintaining Hardy-Weinberg equilibrium involving two alleles except:
a. gene flow from other populations must be zero.
b. the frequency of all genotypes must be equal.
c. mating must be random.
d. there should be no natural selection.
e. populations must be large.

Artificial intelligence (AI) is no longer a thing of science fiction, it exists in the world all around us, automating simple tasks and dramatically improving our lives. But as AI and automation becomes increasingly capable, how will this alternative labor source affect your future workforce? In this article, we’ll take a look at both some optimistic and pessimistic views of the future of our jobs amidst increasing AI capabilities.

Technology-driven societal changes, like what we’re experiencing with AI and automation, always engender concern and fear—and for good reason. A two-year study from McKinsey Global Institute suggests that by 2030, intelligent agents and robots could replace as much as 30 percent of the world’s current human labor. McKinsey suggests that, in terms of scale, the automation revolution could rival the move away from agricultural labor during the 1900s in the United States and Europe, and more recently, the explosion of the Chinese labor economy.  

McKinsey reckons that, depending upon various adoption scenarios, automation will displace between 400 and 800 million jobs by 2030, requiring as many as 375 million people to switch job categories entirely. How could such a shift not cause fear and concern, especially for the world’s vulnerable countries and populations?

The Brookings Institution suggests that even if automation only reaches the 38 percent means of most forecasts, some Western democracies are likely to resort to authoritarian policies to stave off civil chaos, much like they did during the Great Depression. Brookings writes, “The United States would look like Syria or Iraq, with armed bands of young men with few employment prospects other than war, violence, or theft.” With frightening yet authoritative predictions like those, it’s no wonder AI and automation keeps many of us up at night.  

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