The @BoringCompany could build a Hyperloop tunnel from downtown SF to downtown LA for <5% of this cost and it would be a technological marvel exceeding any high speed rail on Earth
GenAI and the Productivity Paradox
Many are wondering why GenAI has not been particularly evident in the productivity statistics of the broader economy, despite widespread adoption.
This is reminiscent of the PC era, when Solow in 1987 famously stated:
“You can see the computer age everywhere except in the productivity statistics.”
As shown in the below chart, previous technological breakthroughs showed up in productivity statistics with multi-year lags. Notably, the lags shrunk over time.
It took about 15 years for PCs to be reflected in productivity data, as it took time for the broader economy to adapt as organisations redesigned and optimised processes. We should expect a time lag too with GenAI, though likely much shorter. (We also acknowledge there are some flaws in productivity measurements that may further obscure these impacts.)
AI will disrupt the economy and there will be big winners and losers. We are already seeing the market factor in this reality. At AlphaTarget, we are focusing on businesses which are beneficiaries of this revolution.
Source: How AI can boost productivity and jump start growth, J.P. Morgan Private Bank
Who pays for tariffs? Think again.
Studies consistently found that 80%+ of the China tariff costs during Trump 1.0 were borne by U.S. entities (importers and consumers combined), with Chinese exporters absorbing < 20% through reduced prices.
These findings are supported by the following credible studies:
- Atlanta Federal Reserve (2023), "Tariffs and Consumer Prices."
- Tax Foundation (2020), "The Economic Impact of Trump’s Tariffs," Tax Foundation.
- National Bureau of Economic Research (NBER): Fajgelbaum et al. (2020), "The Return of the 1930s? Evidence from the U.S.-China Trade War."
- Peterson Institute for International Economics (PIIE): Bown (2020), "Who Bears the Burden of the U.S.-China Trade War?"
- Federal Reserve Board (2020), "The Effect of US-China Tariff Hikes: Differences in Demand Composition"
- Journal of Economic Perspectives: Amiti, Redding, and Weinstein (2019), "The Impact of the 2018 Tariffs on Prices and Welfare."
- Peterson Institute for International Economics (PIIE): Lovely and Yang (2018), "The Consumer Cost of Trump’s Trade War with China."
Wow. Trump announces he is firing the U.S. Labor Statistics Commissioner for reporting that jobs numbers are weak under his watch.
This is what dictators do.
Show us all the Epstein client list now!!! Why would anyone protect those scum bags?
Ask yourselves this question daily and the answer becomes very apparent!!