@mitch2 Here's what your AI said:
“Predictions that new inventions will create mass, permanent unemployment have occurred frequently throughout history, dating back to at least the time of Aristotle. While technology often renders specific jobs obsolete, historical evidence overwhelmingly suggests that these predictions of mass unemployment have been wrong. Over the long term, technological advancements have created more jobs than they destroyed, while significantly raising standards of living.”
Here's what my AI said in response:
"The historical claim is largely accurate -- previous waves of technological disruption ultimately generated more jobs than they eliminated, and living standards rose alongside productivity. The pessimists were repeatedly wrong, and that track record deserves acknowledgment.
But there are reasons to be cautious about applying that pattern to the current moment. Previous automation displaced physical or routine cognitive labor while leaving complex judgment and creativity largely intact.
AI is different in kind -- it's encroaching on precisely those domains previously considered automation-proof. The historical sample may not be analogous.
The distributional point also gets glossed over too easily. "More jobs created than destroyed" is a macroeconomic consolation that the handloom weavers of the 1800s couldn't spend. Transition costs fall unevenly and can span generations.
And speed matters. Previous disruptions unfolded over decades, allowing institutions and labor markets to adapt. Current AI development is compressing that timeline considerably, which could overwhelm adaptive capacity even if the long-run equilibrium is ultimately positive.
So -- historically informed optimism, yes. Complacency, no."
Fun, huh?