Enterprises are piloting agentic workflows for internal tasks
Companies are moving beyond AI copilots to chain specialized agents for multi-step business processes like knowledge management, code review, and ad campaign optimization. Dr. Shreya Singh, Head of AI at AdNova, noted on a podcast that a common adoption path starts with internal productivity agents before moving to domain-specific agents trained on proprietary data. She advised involving engineers and analysts early in the design process to ensure adoption and avoid workflow fragmentation.
- While agentic AI can automate repetitive tasks, its primary advantage over Robotic Process Automation (RPA) is its ability to handle complex, dynamic workflows that require reasoning and adaptation to unstructured data. A hybrid approach is often most effective, with RPA managing routine execution and agentic AI handling more complex decisions and exceptions. - According to Andrew Ng, founder of DeepLearning.AI, focusing on agentic workflows can yield better results than simply using a more powerful base model like GPT-4 alone. He advises starting with the best available model to build a functional product and only optimizing for cost with less powerful models once the application proves successful. - A significant trend in programmatic advertising for 2025 is the increased use of AI for optimizing bids, targeting, and creative elements. This includes the growth of Dynamic Creative Optimization (DCO), which automates the customization of ad creatives based on user data. - The deprecation of third-party cookies by Google, though delayed, is compelling a shift to first-party data strategies and privacy-compliant alternatives like contextual targeting. However, a March 2025 Deloitte survey indicated that only about 15% of global marketers felt fully prepared for this transition. - Enterprise AI adoption has seen significant growth, with a November 2025 McKinsey report indicating that 78% of organizations now use AI in at least one business function. Despite this, only 6% are considered "high performers," achieving an EBIT impact of 5% or more from their AI initiatives. - In the UK tech sector, total funding for 2025 reached £11.7 billion, a 9% decrease from the previous year. London continues to be the primary hub, securing £9.2 billion of the total funding. Notable funding rounds in 2025 included AI infrastructure company Nscale's $1.1 billion Series B and AI drug discovery startup Isomorphic Labs raising £446 million. - The 2026 Formula 1 season will introduce significant technical changes, including new power units with a 50:50 split between internal combustion and electric power, and the use of 100% sustainable fuels. The regulations also feature active aerodynamics with adjustable front and rear wings to promote closer racing.
