Agentic AI workflows gain enterprise traction
Enterprises are increasingly embedding AI agents into core SaaS applications, with use cases emerging in HR, finance automation, and revenue operations. One forecast suggests 40% of enterprise apps will feature AI agents by the end of 2026. Successful adoption reportedly hinges on robust orchestration layers and governance to manage security and compliance risks.
- Enterprises face significant hurdles in deploying agentic AI, with key challenges including complex integration with legacy systems, ensuring data quality and accessibility, and managing security and access control requirements. Despite a surge in pilot programs, these obstacles have kept full-scale deployment stagnant at 11%. Organizational issues, such as unclear business objectives and the absence of governance frameworks, are often bigger barriers than the technology itself. - In advertising, the phase-out of third-party cookies is compelling a strategic shift towards privacy-focused methods like contextual targeting, which uses AI to analyze content, and a greater reliance on first-party data. This transition is occurring as global programmatic ad spend is projected to grow from $595 billion in 2024 to nearly $800 billion by 2028. Publishers, however, anticipate a potential 20-30% revenue drop if replacement technologies don't match the performance of cookies. - Creative automation is becoming essential for advertising teams to scale ad production efficiently, using templates and data feeds to generate numerous ad variations for different platforms and audiences. This process removes repetitive tasks like resizing and reformatting, allowing teams to focus on strategy and creative ideation rather than manual production. - For CTOs at growth-stage companies, technical due diligence during mergers, acquisitions, or funding rounds is a critical function that involves a systematic evaluation of the target's technology stack, architecture, security, and engineering practices. This process aims to uncover risks and liabilities that could impact the investment thesis or post-merger integration. - Supply Path Optimization (SPO) is a critical trend in programmatic advertising, focused on creating more direct and transparent routes to ad inventory by eliminating unnecessary intermediaries. This practice helps advertisers reduce costs, improve performance by accessing higher-quality inventory, and gain greater visibility into where their ad spend is going. - The agentic AI market is projected to expand significantly, with forecasts estimating its value will reach $10.86 billion in 2026 and grow to $93.20 billion by 2032. This growth is driven by increasing adoption across various sectors, with 75% of enterprise software engineers expected to use AI coding assistants by 2028 and 80% of customer service organizations predicted to apply agentic AI to boost productivity by 2026. - Formula 1 is set for a major technical overhaul in 2026, with new regulations focused on revised power units and active aerodynamics. The new power units will feature a 50-50 split between internal combustion and electrical power and will run on 100% sustainable fuels. The cars themselves will be shorter, narrower, and lighter to promote nimbler racing.
