Meta’s next big AI bet is enterprise; its biggest hurdle may be trust

Meta is targeting the enterprise market with its new Meta Enterprise Platform, which aims to transform its AI stack into products and services that can be deployed in business operations. CEO Mark Zuckerberg called the platform "the next major pillar" of the company's business, describing it as a connected suite of products including Muse agent, Meta Business Agent, Muse API, and Muse Code.

However, Meta faces trust issues as previous enterprise attempts such as Workplace and Horizon Workrooms have been abandoned after failing to take off. Analysts warn that Meta's past track record of data stewardship issues, including privacy violations and zero-day vulnerabilities, makes it difficult for enterprises to trust the company.

While Meta has advanced models, agents, large-scale infrastructure, and years of experience working with businesses, it struggles to compete with well-established tech giants like Microsoft, Google, Amazon, and Salesforce. The company's core competency lies in harvesting data, which is not seen as an attractive trait in the enterprise space.

If Meta can successfully position the platform as an effective combination of AI and access to customer channels, enterprises may be more inclined to give it a try.