The Future of AI Agents with Andrew Ng | Interrupt 26

Andrew Ng sat down with Harrison Chase for a wide-ranging fireside chat at Interrupt, the agent conference by LangChain. 

Watch the full session and get insights on: 
- How fast coding agents have evolved and how the way small teams ship is being reshaped
- The "product management bottleneck" and why accelerating software development just moves the constraint somewhere else
- How enterprises are getting incremental AI wins but missing the bigger transformation
- The data architecture rework most companies haven't started yet
...and so much more

The Future of AI Agents with Andrew NG | Interrupt 26
0:00 Welcome and intro
0:39 What surprised Andrew most in the past year
1:06 The rise of coding agents
2:01 The product management bottleneck
4:50 What background do these new generalist engineers come from
6:02 How to get into AI software engineering
7:50 Building blocks, LEGO bricks, and combinatorial development
8:34 Context Hub and keeping agents up to date
9:50 DeepLearning.AI, LangChain, and short courses
10:05 How education is changing with AI
11:46 LearnDream.ai and interactive learning
13:29 Enterprise AI adoption: what's working and what isn't
14:46 The loan underwriting example
16:44 Cost savings vs. driving growth
17:11 Good examples of AI driving business growth
18:27 Measuring ROI
19:07 Swinging for the fences vs. incremental gains
22:00 Forward deployed engineers: hype vs. reality
23:01 Vendor lock-in and preserving optionality
25:04 LangSmith as a vendor-neutral layer
25:27 Open source and open-weight models
26:38 Data strategy before building agents
28:17 Unstructured data and the coming rearchitecture
31:22 Closing thoughts

Extra resources:
• Everything we shipped at Interrupt: https://www.langchain.com/blog/interrupt-2026-overview
• Meet LangSmith Engine: https://www.langchain.com/blog/introducing-langsmith-engine
• About LangChain: https://www.langchain.com/