Open Source vs Commercial Offerings

The choice between open-source and commercial AI isn't just a cost decision - it's a strategic one with implications for flexibility, capability, support, and risk. Open-source models and tools give you transparency, customisation, and freedom from vendor lock-in, but they require technical expertise to deploy, maintain, and optimise. You're responsible for hosting, security, updates, and performance tuning. Commercial offerings provide convenience, support, and often superior out-of-the-box performance, but at the cost of dependency and less control over how your data is handled. The landscape is complicated by the fact that "open source" in AI covers a spectrum from fully open models with permissive licences to models that are technically available but come with significant restrictions on commercial use. Many organisations find that the best approach is a mix: open-source for capabilities where you need control and customisation, commercial for areas where convenience and support matter more than flexibility. Whatever you choose, make sure you understand the licence terms, the true operational costs, and the long-term implications for your ability to adapt as the technology evolves.