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The case for selling enterprise AI on outcomes rather than tokens

A post argues that Fortune 500 companies buy business outcomes, not AI tokens, and points to Palantir and Sierra as companies it says sell and price on outcomes.

martin_casadoMA
3 Sources, 12d ago, first seen 12d ago

TLDR

A post argues that Fortune 500 companies’ focus on business outcomes rather than tokens is one key reason for lagging enterprise AI adoption. It cites Palantir and Sierra as companies it says sell and price on outcomes, and argues that token-based pitches won’t work with those buyers.

Combined views

108

3 Sources, first seen 12d ago

36 reposts

Combined views

108

3 Sources, first seen 12d ago

36 reposts

Sentiment

Positive43.7%56.3%Negative

Summary

Positive replies agreed enterprises lag in AI adoption because they buy business outcomes not tokens, while negative replies criticized Palantir as unethical, flagged data waste, and worried about job losses from automation.

Based on 60 sentiment-bearing replies from 55 accounts across 2 conversations.

Featured Source

Sentiment

Positive43.7%56.3%Negative

Summary

Positive replies agreed enterprises lag in AI adoption because they buy business outcomes not tokens, while negative replies criticized Palantir as unethical, flagged data waste, and worried about job losses from automation.

Based on 60 sentiment-bearing replies from 55 accounts across 2 conversations.

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3 Sources

Gokul Rajaram@gokulrAli makes great points. In addition, I think one of the key reasons for lagging enterprise AI adoption is that F500 enterprises don’t buy tokens. They buy business outcomes. Palantir and Sierra are arguably the fastest growing enterprise AI applications companies (outside of the labs). Both sell business outcomes and price on outcomes. If you’re selling tokens to F500 enterprises, you’re DOA.12d
martin_casado@martin_casadoRT @mfishbein: Databricks CEO @alighodsi went off on @a16z pod about enterprise AI adoption: "They're just so far behind in the adoption…12d
Brian Halligan@bhalliganRT @mfishbein: Databricks CEO Ali Ghodsi (@alighodsi) says AGI is already here. Enterprises just use it as "stupid chatbots". "These thing…11d
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    PalantirSierraDatabricks

    3 Sources

    Gokul Rajaram@gokulrAli makes great points. In addition, I think one of the key reasons for lagging enterprise AI adoption is that F500 enterprises don’t buy tokens. They buy business outcomes. Palantir and Sierra are arguably the fastest growing enterprise AI applications companies (outside of the labs). Both sell business outcomes and price on outcomes. If you’re selling tokens to F500 enterprises, you’re DOA.12d
    martin_casado@martin_casadoRT @mfishbein: Databricks CEO @alighodsi went off on @a16z pod about enterprise AI adoption: "They're just so far behind in the adoption…12d
    Brian Halligan@bhalliganRT @mfishbein: Databricks CEO Ali Ghodsi (@alighodsi) says AGI is already here. Enterprises just use it as "stupid chatbots". "These thing…11d
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