BCG – AI-Powered R&D, Feb 2025
The main theme of the document is the transformational impact of artificial intelligence (AI) on research and development (R&D) functions in companies.
Key findings include: AI and agile methodologies contribute to product improvement, development of integrated systems, increased productivity, and collaboration. The adoption of AI in R&D is expected to significantly reduce time-to-market (by 10-20%) and lower R&D costs (up to 20%). AI agents and autonomous systems will become an important element in R&D. Transformation of the operating model is necessary to unlock the benefits of AI at the company level. Successful AI implementation in R&D requires five key levers: process restructuring, use of AI agents, new data architecture, an operating model focused on intellectual property, and talent development.
