Increased focus from plans and investments will impact the way AI is utilized
The UK recently announced its AI Opportunities Action Plan, outlining the next phase of AI development for Britain. The ambition is to use AI for economic prosperity, improved public services, and increased opportunity. The UK already has the groundwork to be a leader in AI as it benefits from high-quality research and engineering talent, particularly in AI for science and robotics. As the UK makes a concerted push on AI, the US has announced $500 billion in private capital funding to grow AI infrastructure. This increased focus from plans and investments will impact the way that AI is utilized. As AI grows increasingly pivotal in technology, offering tools and methodologies that can enhance precision and adaptability across various domains, there are three areas where we can anticipate growth: generative AI, verification & validation, and control system designs. Lucas Garcia Social Links Navigation Principal Product Manager for AI at MathWorks. GenAI moves onto block diagrams, 3D models, and flow charts While the initial focus on text-based GenAI continues to influence software-centric workflows, its impact on tools with higher-level abstractions is lagging. In 2025, we expect continued progress in applying GenAI to "no code" tools such as block diagrams, 3D models, and flowcharts. These tools enable organizations to graphically represent complex systems, effortlessly edit components, and manage the inherent complexity. Furthermore, they are essential to productivity and validate confidence in system-level performance. Integrating GenAI with these tools will further increase their productivity while keeping the interfaces familiar to end users. More tools in this space will integrate AI copilots that can understand engineering models and assist in their design and management. Leveraging verification and validation for AI compliance Industry governing bodies are introducing AI compliance requirements, frameworks, and guidance as the integration of AI into…