David Solomon's New York Times op-ed frames AI as a productivity enhancer rather than job destroyer, drawing parallels to electrification and computing eras where net employment rose. Primary evidence from Goldman's internal forecasts cited in the piece projects 25 percent automation of work hours over a decade, concentrated in banking, legal, and software sectors, with new roles emerging in AI oversight. This aligns with Marc Andreessen's public statements emphasizing AI's timing amid shrinking workforces, yet both overlook primary data from U.S. Bureau of Labor Statistics historical series showing uneven sectoral recoveries post-automation. Counter perspectives from Vatican statements on digital transformation highlight risks of concentrated power and social dislocation, while domestic policy debates reference infrastructure resistance to data center expansion. Geopolitically, U.S. capex surges contrast with Beijing's state-directed compute strategies, suggesting productivity gains may hinge on regulatory coordination rather than market forces alone. Patterns from prior cycles indicate adaptation occurs, but require explicit mechanisms for workforce transition not detailed in corporate analyses.