<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Innovation on Signal &amp; Syntax</title><link>https://signal-and-syntax.com/tags/innovation/</link><description>Recent content in Innovation on Signal &amp; Syntax</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 19 Aug 2025 05:00:00 -0700</lastBuildDate><atom:link href="https://signal-and-syntax.com/tags/innovation/index.xml" rel="self" type="application/rss+xml"/><item><title>From Solow to ChatGPT: Why Total Factor Productivity Can't Keep Up With Generative AI</title><link>https://signal-and-syntax.com/posts/tfp-chatgpt/</link><pubDate>Tue, 19 Aug 2025 05:00:00 -0700</pubDate><guid>https://signal-and-syntax.com/posts/tfp-chatgpt/</guid><description>If ChatGPT can write code, summarize legal briefs, and help draft business strategies in seconds, why doesn&amp;rsquo;t that show up in our productivity statistics?
Economists have long relied on a metric called Total Factor Productivity (TFP) to measure technological progress. But in an era of free digital tools and generative AI, TFP looks more like a rearview mirror than a windshield. It tells us a lot about the past, but almost nothing about where the economy is headed.</description></item></channel></rss>