<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Procurement on Rishi's Blog</title><link>https://blog.bansalai.com/tags/procurement/</link><description>Recent content in Procurement on Rishi's Blog</description><generator>Hugo</generator><language>en-US</language><copyright>&amp;copy; 2026 Rishi Bansal</copyright><lastBuildDate>Wed, 12 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.bansalai.com/tags/procurement/index.xml" rel="self" type="application/rss+xml"/><item><title>The End of the AI Flat-Rate Era: How Vendor Pricing Shifts Became Enterprise's Compute-Risk Problem</title><link>https://blog.bansalai.com/posts/ai-flat-rate-era-tokenomics/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://blog.bansalai.com/posts/ai-flat-rate-era-tokenomics/</guid><description>&lt;div class="lead !mb-9 text-xl"&gt;
 Between November 2025 and June 2026, every major AI vendor rewired how it charges for usage. Anthropic, OpenAI, GitHub Copilot, and Google each migrated enterprise contracts from flat per-seat fees to consumption-based token pricing. The headline seat prices look cheaper. The bills are not.
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&lt;p&gt;A conservative estimate puts a typical Fortune 500 company&amp;rsquo;s annual AI cost above $30 million. One healthcare enterprise consumed a trillion tokens over six months before its finance team understood what was driving the charges. Uber exhausted its full-year AI budget by April. These aren&amp;rsquo;t edge cases — they&amp;rsquo;re the leading edge of a structural shift that most enterprise finance teams haven&amp;rsquo;t priced in yet.&lt;/p&gt;</description></item></channel></rss>