The Solow productivity paradox is the observed contradiction between massive investments in information technology (IT) and sluggish productivity growth, famously summarized by Robert Solow in 1987: "You can see the computer age everywhere but in the productivity statistics". Despite rapid digital advancements, measured economic output per worker has often failed to accelerate correspondingly, particularly in the 1970s-80s and again in the 2010s.
In the 1960s,, predictions suggested that rapid advancements in computing and automation would power the American economy, with 37 experts advising President Johnson in 1964 that a "Triple Revolution" of technological change would displace workers. However, this led to the 1987 Solow productivity paradox, which observed that computers were visible everywhere except in productivity statistics, as adoption did not initially boost efficiency
The current data that has been observed does not represent an AI curve. So far, AI is doing just what technology has done in the past - fail to deliver.
What your writings conclude is just what we already knew. America cannot build a battery. We suck at it. In fact, we lost. Game over.
Personally, I would buy a Chinese BYD car tomorrow if one came on the lot. Half the cost of an American EV.
And there are Chinese cars creeping over the borders in Texas via Mexico as we speak.
Chinese-made vehicles, banned from direct US sale in 2025 due to national security and data risks, are appearing in Texas border cities like El Paso via a Mexico loophole. Residents are spotting brands such as BYD and Geely, brought over by Mexican residents legally allowed to drive foreign-registered vehicles.
All of that data came from AI. So powerful you can't argue with me!