<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tech Economics on The Coders Blog</title><link>https://thecodersblog.com/tag/tech-economics/</link><description>Recent content in Tech Economics on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 08 May 2026 08:30:29 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/tech-economics/index.xml" rel="self" type="application/rss+xml"/><item><title>GPT-5.5 Price Hike: What the Latest OpenAI Cost Increases Mean</title><link>https://thecodersblog.com/gpt-5-5-price-increase-and-impact-2026/</link><pubDate>Fri, 08 May 2026 08:30:29 +0000</pubDate><guid>https://thecodersblog.com/gpt-5-5-price-increase-and-impact-2026/</guid><description>&lt;p&gt;The whispers have solidified into a concrete announcement, and the AI development landscape is abuzz. OpenAI has officially unveiled pricing for its latest flagship model, GPT-5.5, and the numbers are, to put it mildly, eye-watering. A doubling of the base API cost compared to GPT-5.4’s input tokens and a staggering 6x increase for output tokens paints a stark picture for businesses and developers who have come to rely on the bleeding edge of large language models. But as the initial shockwave of Reddit and Hacker News outrage subsides, a more nuanced understanding of GPT-5.5’s economic reality begins to emerge. This isn&amp;rsquo;t just a price hike; it&amp;rsquo;s a strategic recalibration reflecting the immense engineering leaps and the evolving value proposition of truly advanced AI.&lt;/p&gt;</description></item></channel></rss>