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    <title>AI Economics by Bear Lumen</title>
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    <description>How AI companies price their products, protect margins, and turn cost data into pricing decisions.</description>
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      <title><![CDATA[AI Decisions Are Pricing Decisions]]></title>
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      <description><![CDATA[AI vendors pass internal cost decisions to customers via token pricing. Outcome pricing is the only model that delivers per-customer pricing consistency.]]></description>
      <pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate>
      <author>noreply@bearlumen.com (Blaise Albuquerque)</author>
      <category>ai-pricing</category>
      <category>outcome-based-pricing</category>
      <category>unit-economics</category>
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      <title><![CDATA[AI Margins Are Half of SaaS. The Operating Model Must Follow.]]></title>
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      <description><![CDATA[AI companies average 40-60% gross margins vs 80-90% for traditional SaaS. Sales comp, fundraising metrics, and growth playbooks all need recalibration. Named companies, real numbers, specific implications.]]></description>
      <pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate>
      <author>noreply@bearlumen.com (Bear Lumen Team)</author>
      <category>gross-margin</category>
      <category>unit-economics</category>
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      <title><![CDATA[The Usage-Based Pricing Trap: Why AI Companies Are Moving Back to Plans]]></title>
      <link>https://bearlumen.com/blog/usage-based-pricing-trap-ai-products</link>
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      <description><![CDATA[Pure usage-based pricing is the default recommendation for AI products. The default is wrong. Hybrid models outperform pure usage on retention, predictability, and growth.]]></description>
      <pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate>
      <author>noreply@bearlumen.com (Bear Lumen Team)</author>
      <category>usage-based-pricing</category>
      <category>pricing-strategy</category>
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      <title><![CDATA[How to Price AI Products: A Data-Driven Framework]]></title>
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      <description><![CDATA[A practical framework for pricing AI products using real cost-to-serve data. Covers unit economics, pricing models, margin analysis, and iteration strategies for AI startups.]]></description>
      <pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate>
      <author>noreply@bearlumen.com (Bear Lumen Team)</author>
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      <category>gross-margin</category>
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      <title><![CDATA[The $0.99 Resolution: Why Outcome Pricing Only Works When Outcomes Are Binary]]></title>
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      <description><![CDATA[Outcome-based AI pricing aligns incentives when outcomes are binary and measurable. Data from Intercom, Chargeflow, Sierra, Salesforce, and HubSpot reveals why definition clarity determines whether the model works or breaks.]]></description>
      <pubDate>Sat, 17 Jan 2026 00:00:00 GMT</pubDate>
      <author>noreply@bearlumen.com (Bear Lumen Team)</author>
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