<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>J. Carter Braxton | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/j.-carter-braxton/</link><description>J. Carter Braxton</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/j.-carter-braxton/index.xml" rel="self" type="application/rss+xml"/><item><title>Comment on "Artificial Intelligence and Technological Unemployment" by Wang and Wong</title><link>https://macropaperwarehouse.com/papers/comment-on-artificial-intelligence-and-technological-unemployment-by-wang-and-wong/</link><guid>https://macropaperwarehouse.com/papers/comment-on-artificial-intelligence-and-technological-unemployment-by-wang-and-wong/</guid><description>&lt;p&gt;This comment, written by J. Carter Braxton (University of Wisconsin), discusses the paper &amp;ldquo;Artificial Intelligence and Technological Unemployment&amp;rdquo; by Wang and Wong (2025), which develops and quantifies an equilibrium labor search model to evaluate the employment effects of spreading AI. Wang and Wong&amp;rsquo;s central finding is that improvements in AI quality will increase productivity by a factor of three while reducing employment by 23%, with approximately half of the employment decline occurring within the next five years. Braxton&amp;rsquo;s comment serves two purposes: first, to clarify the model&amp;rsquo;s structural channels through which AI affects employment; and second, to bring empirical evidence from the spread of computers in the 1980s–2000s to bear on the relative magnitude of those channels.&lt;/p&gt;</description></item></channel></rss>