AIGuaranteed results as an enterprise AI business model
One post proposes that industry-specific enterprise AI companies accept an extra 1–5% dilution to build a capital buffer and guarantee outcomes, rather than charge customers for token credits.
TLDR
One post argues for enterprise AI companies selling guaranteed outcomes instead of token budgets. Its example: charge $25,000 to deliver a specified number of views on a social media post within two weeks, rather than sell credits to generate ads. The author proposes an extra 1–5% dilution to fund a capital buffer, framing outcome guarantees as a way to change the business model and outcompete rivals—but says this would probably be a net negative for the industry in its infancy.
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Guaranteed results as an enterprise AI business model
One post proposes that industry-specific enterprise AI companies accept an extra 1–5% dilution to build a capital buffer and guarantee outcomes, rather than charge customers for token credits.
TLDR
One post argues for enterprise AI companies selling guaranteed outcomes instead of token budgets. Its example: charge $25,000 to deliver a specified number of views on a social media post within two weeks, rather than sell credits to generate ads. The author proposes an extra 1–5% dilution to fund a capital buffer, framing outcome guarantees as a way to change the business model and outcompete rivals—but says this would probably be a net negative for the industry in its infancy.