Open source technology in the age of AI
With more organisations deploying gen AI across business functions, a new survey finds that leaders are increasingly turning to open source AI solutions to build out their tech stacks. Open source software has long been a critical part of the technology ecosystem. Commercial software typically requires a commercial license or subscription and restricts access to its core technology. However, open source tools are developed collaboratively and made available to the public to use, modify, and distribute with far fewer restrictions. The open source model gives developers the ability to adapt and shape well-tailored solutions to the particular needs of their organizations. The current age of AI is no different. As more enterprises build and deploy AI-driven solutions across their businesses, they are turning to a growing array of open source technologies. Such offerings include Meta’s Llama family, Google’s Gemma family, the Allen Institute for Artificial Intelligence’s OLMo family, Nvidia’s NeMo family, DeepSeek-R1, and Alibaba Cloud’s Qwen 2.5-Max—many of which are fast closing the performance gap relative to proprietary AI models. Leaders are embracing open source tools as essential components of their technology stacks, citing advantages such as high performance, ease of use, and lower implementation and maintenance costs relative to proprietary tools. Developers, meanwhile, increasingly view experience with open source AI as an important part of their overall job satisfaction. While open source solutions come with concerns about security and time to value, more than three-quarters of survey respondents expect to increase their use of open source AI in the years ahead. Enterprises are using open source models more than one might expect. Across several areas of the AI technology stack, over 50 percent of respondents report that their organisations are using open source AI technologies (often alongside proprietary tools from players such as Anthropic, OpenAI, and Google). Organisations that place […]