Meta’s role in business AI is easy to misread, because its two contributions point in opposite directions. Meta AI, the assistant built into WhatsApp, Instagram, Facebook and Messenger, is as consumer as AI gets: Meta has reported over a billion monthly users across its apps, and Pew’s February 2026 survey put it at 14% of US adults. Llama is the opposite, and the thing Meta has shipped that matters most to businesses: a frontier-class model family anyone can download and run privately, which is largely how the open-weight world got started.

Meta AI: the assistant your customers already use

Hardly any professional firm will use Meta AI as its working tool, because the business controls a firm needs are found in other products. Where it matters is on your customers’ side. They ask it questions inside the messaging apps where a lot of the UK spends its day. When someone asks an assistant in WhatsApp about services like yours, the answer comes from whatever these systems can find and trust about you. That makes accurate, citable public information about your firm a question of being found, not vanity, and it’s the same reasoning behind AI answers in Google Search.

Llama: the open-weight models you can run yourself

Llama is what you get when a frontier lab publishes its models. Since the first releases in 2023 it has become the most widely deployed open-weight family, and it’s the reason a firm can now run a capable model on hardware it controls: on a server in its own cloud account, or in extreme cases on a machine in the office.

For a business, that gives you three specific things:

  • Data control. Prompts and documents never leave infrastructure you own. For some regulated or confidential work, that alone decides it.
  • Cost shape. No per-use fees. You pay for hardware and upkeep instead, which only wins at steady, meaningful volume.
  • Independence. No vendor can reprice, rate-limit or retire your model underneath a system built to run for years.

The costs are just as real. You own the hosting, updates and security, and you’ll usually be some way behind the best proprietary models at any given moment. The full decision, including Llama’s main rivals from Mistral, DeepSeek, Qwen and Google’s Gemma, is in the open-weight models guide.

One licensing point is specific to Meta. Llama ships under Meta’s own community licence, which is permissive for essentially every normal business but has conditions, including a clause aimed at very large platforms. Read it once before building on it, or choose an Apache-licensed alternative from the open-weight shortlist if your compliance team prefers standard terms.

What it means for your firm

You’ll probably never buy anything from Meta directly, but it’s still worth caring about for two reasons. First, make sure your firm can be found accurately by the assistants your customers use, Meta AI included, which is what a site built to be cited is for. Second, keep the open-weight option in mind for workloads where data control or volume point that way. It’s the part of the AI market that lets you own your models instead of renting them.