Conference Presentation, Other
AI Is Coming For These 3 Industries In 2026 (a16z Big Ideas)
- The electro-industrial stack is expected to drive a global industrial evolution by integrating rare earth separation, U.S. software talent, and industrial veterans, though scaling this ecosystem at low cost to compete with China is a multi-year to multi-decade challenge.
- Long-term economic and military power over the next 50 to 100 years will be determined by ownership of supply chains, while software and AI will increasingly automate industrial and military operations.
- The financial services and insurance sectors face a turning point where the risk of maintaining legacy systems surpasses the risk of change, leading institutions to let contracts lapse for AI-native competitors.
- Future financial software infrastructure will unify data from legacy cores, external systems, and unstructured sources into a new system of record, parallelize workflows, and consolidate customer data from onboarding to transaction monitoring into a single risk platform.
- New software winners are predicted to grow 10 times larger by consuming undesirable human labor, with early adopters causing a dramatic reordering of incumbents and specific sectors like mortgage servicing potentially expanding margins from 5% to 50%.
- A competitive advantage in financial software may take two to three years for competitors to replicate, with a dramatic acceleration expected for companies with AI-first platforms selling to banking and insurance in 2026.
- A fundamental shift in IT is predicted by 2026, where a dynamic agent layer overtakes the traditional system of record, collapsing the distance between intent and execution to provide a 20% to 50% improved experience or greater.
- IT support will evolve to allow nearly instantaneous software access via ITSM agents utilizing large language models, while agents positioned closest to user preferences will accrue significant future value.
- Success in the emerging agent layer requires moving quickly to collapse intent and execution to maintain customer trust, with new AI SRE companies expected to outperform classic platforms like Datadog due to rapid product improvements.