Report claims Salesforce execs admit trust issues with LLM models; the company clarifies LLMs can provide trusted outcomes when connected with accurate data
m.economictimes.com
In a report by The Information, Salesforce executives have admitted that confidence in Large Language Models has dropped. Salesforce is now prioritising predictable automation. This shift follows reports of job cuts after AI agent deployment. The company, however, clarified that LLMs are amazing, but they need accurate data, business logic, and governance to turn the raw intelligence into enterprise-grade reliability.

Salesforce, one of the world’s biggest enterprise software firms, is quietly pulling back from its aggressive use of large language models after facing repeated reliability issues. Senior executives now admit that confidence in generative AI has fallen sharply over the past year, even as the company laid off around 4,000 support staff following the rollout of AI agents, according to reports by The Information. The shift marks a sharp change in tone for a company that was among the loudest champions of AI-led transformation across corporate software.

  • teft@piefed.socialEnglish
    20·
    1 month ago

    1Ji4eYgZyZ6PHMq.gif

    Remember when everyone was off shoring their tech departments and then rapidly rehiring departments after realizing you actually do need some in house IT workers? Same energy. Executives don’t notice IT workers unless something breaks.

  • Rekall Incorporated@piefed.socialEnglish
    1·
    1 month ago

    Anyone has any professional experience with Agentforce?

    Is it really viable beyond basic L1 support? What is the high level cost like (I am assuming current costs are heavily subsidized?).

    Agentforce might be making $500 M in revenue, but some of the could de facto be packaged revenue that wouldn’t happen in a competitive environment.