For the past two years, the conversation around AI in software development has centered on one question: How do we get engineers to use AI? In 2026, that question has changed. 👀 Engineering organizations have largely moved beyond experimentation and pilot programs. AI coding tools are now embedded in daily workflows across the industry. The new challenge isn’t adoption – it’s proving value. The latest State of Engineering Management report reveals a clear trend: engineering leaders are increasingly focused on measuring AI’s return on investment, understanding rising token costs, and connecting AI-driven productivity gains to business outcomes. Learn more: jellyfish.co/blog/2026-engin… #SEMR26 #StateOfEngineeringManagement #AIROI

📈 One of the key findings from the 2026 State of Engineering Management Report is a rise in optimism and opportunity with AI as 82% say their company's growth outlook is better than last year. Jellyfish SVP of Engineering Adam Ferrari, Head of AI & Research Nicholas Arcolano, PhD, and Engineering Manager Marylin Cole weigh in! Explore the report for more data: jellyfish.co/2026-state-of-e… #SEMR26 #StateOfEngineeringManagement

The 2026 State of Engineering Management Report is here 🎉 For the seventh consecutive year, Jellyfish surveyed 635 engineering leaders and practitioners worldwide to understand how the discipline is evolving. This year, the story is clear: engineering's impact has never been greater – and AI is the reason. Explore the report's findings to answer the questions engineering leaders everywhere are asking, like: - Is everyone ahead of me on their AI adoption journey? - What AI tools should my team actually be using? - What kind of productivity lift can we really expect from AI? - How do we handle the ballooning cost of AI tools? jellyfish.co/2026-state-of-e… #SEMR26 #StateOfEngineeringManagement