Podcast Summary: The Interview – Sam Liang, Otter.ai CEO: "AI Captures Everything"
BBC World Service | Hosted by Zoe Kleiman | May 3, 2026
Episode Overview
In this episode of "The Interview," technology editor Zoe Kleiman talks with Sam Liang, CEO and co-founder of Otter.ai. The conversation explores the evolution of AI-powered transcription services, their societal impact, and the future of human communication in the workplace. Drawing from Liang’s personal journey as an immigrant and engineer, the episode covers themes of accessibility, diversity, data privacy, and the shifting role of human skills in a world increasingly mediated by machines.
Key Discussion Points
1. Personal Journey and the Birth of Otter.ai
- Sam Liang’s Motivation: As a non-native English speaker, Liang struggled to understand and be understood after moving to the U.S. This personal hurdle inspired the creation of Otter.ai.
- "My English was so bad people didn't understand me. I couldn't understand other people. I wish I had Otter at that time to help me...I literally carried a Sony Walkman with me in all the classes I went to." (02:31–02:52)
- The Problem to Solve: Liang's experience of isolation and communication barriers continues to drive his passion for building better AI tools for understanding and accessibility.
- "I do feel isolated. I still have trouble communicating. That's a problem I want to solve and I hope other AI can help me solve that too." (12:22–12:45)
2. Otter.ai’s Evolution and Vision
- Beyond Notes: Otter has grown from a meeting note-taker to a wider "conversational knowledge engine," aiming to aggregate and organize knowledge from thousands of meetings.
- "We're building a platform to create this conversational knowledge engine, to organize thousands of meetings, connect the knowledge in thousands of meetings." (03:19–04:00)
- Accessibility for All Accents and Languages: Recognizing global diversity, Otter’s technology is trained to understand a wide range of accents and linguistic nuances.
- "We build our own speech recognition technology ourselves...stress test our system by speaking to our own speech recognition engine to make sure our engine can recognize our own accent…collect tons of speech data from all over the world." (05:10–06:15)
3. Objectivity, Bias, and Diversity in AI
- AI Objectivity vs. Human Bias: AI transcription can offer a more objective record compared to human note-taking, but training data reflects societal biases.
- "Human beings are imperfect...they may misinterpret certain things, they may unconsciously ignore certain things. So AI actually can fix that." (04:18–04:57)
- Gender Representation: The predominance of men in leadership meetings affects training data. Otter.ai works to highlight and address gender imbalances.
- "Most business leaders are men…AI actually can help detect some of the problems…measure the speaking time, whether the man interrupt a woman often…that’s a first step to detect problems." (08:41–09:55)
4. Data Privacy, Consent, and Surveillance
- User Responsibility and Consent: All Otter.ai users must obtain consent from all participants before using the tool—drawing a line between utility and surveillance.
- "We provide the tool, we provide a platform. But the user is needs to get consent and to also manage who have access to that." (17:37–17:40)
- "We're definitely against surveillance, Big Brother by the government…for business communication, the bigger problem…is that information are fragmented." (15:12–15:36)
- Handling Lawsuits and Public Concerns: Liang addresses the California class-action lawsuit, likening Otter’s responsibility to that of recorder manufacturers.
- "It's similar to the way people use, for example, Sony Walkman in the past. Sony is not responsible for how you use it. The owner of that cassette recorder has the responsibility." (15:51–16:42)
5. AI Avatars and the Future of Meetings
- Digital Twins in the Workplace: Otter.ai is developing avatar technology so that digital versions of people can attend meetings in their stead.
- "You can send your digital twin or your avatar which has your knowledge to attend some meetings on your behalf...In our team, we build a Sam’s avatar already. It's not perfect yet, but it can answer a lot of questions on my behalf." (18:54–19:34)
6. The End of Typing and Writing?
- Voice as Primary Interface: Liang predicts a shift away from writing and typing in favor of voice interaction with technology.
- "Our prediction is that we'll increasingly rely on voice to interact with AI because voice is the most natural way for us to communicate...writing and typing are harder skills to learn and to perfect." (20:48–21:49)
- AI and Human Skills: Concerns about skill degradation are met with the assertion that expressing oneself by speaking still engages the mind and enables creativity.
- "When you speak, you are still using your brain, right? You're expressing yourself, you're thinking aloud...Ideas can be created by talking." (23:24–23:55)
- Analogy to Other Technologies: Liang compares the adoption of AI to his experience with Tesla’s self-driving cars—fewer people manually drive, just as fewer may handwrite or type in the future.
- "I drive a Tesla...my driving skills has been degrading...It's already driving better than me." (21:56–22:34)
7. Long-Term Vision: Conversational Knowledge Engine
- Scale and Ambition: Otter.ai aims to create a platform that organizes accessible knowledge from massive volumes of conversations, integrating AI agents to automate workflows.
- "We're announcing a new platform called Conversational Knowledge Engine...so people can access that knowledge, do their job better, and also enables agents to help you with some of your workflows." (24:00–24:36)
- Human Connection Remains Central: Despite technological advances, Liang believes conversation and meetings will endure.
- "People may stop writing, but people will never stop talking...They need to communicate, they need to build human relationship." (24:00–24:59)
Memorable Quotes & Moments
- "The power of AI is that it's able to capture everything. It's able to try to interpret everyone objectively." – Sam Liang (04:18)
- "There are not enough meeting data where women spoke in...AI actually can help detect some of the problems...and remind people when that situation happens." – Sam Liang (08:41)
- "I still have trouble communicating. That's a problem I want to solve and I hope other AI can help me solve that too." – Sam Liang (12:22)
- "We're definitely against surveillance Big Brother by the government. I think we should definitely block that." – Sam Liang (15:12)
- "We build a Sam's avatar already. It's not perfect yet, but it can answer a lot of questions on my behalf." – Sam Liang (19:21)
- "We’ll increasingly rely on voice to interact with AI because voice is the most natural way for us to communicate." – Sam Liang (21:49)
- "It's already driving better than me because it's trained by millions of miles of driving data. The car has eight cameras compared to two eyes I have." – Sam Liang (22:34)
- "People may stop writing, but people will never stop talking." – Sam Liang (24:00)
Notable Timestamps
- 02:31–03:13: Personal language struggles in the U.S. and Otter’s origins
- 03:19–04:00: Otter’s vision as a conversational knowledge platform
- 05:10–06:15: On accents and language inclusivity
- 08:41–09:55: Gender bias in meeting data and Otter's potential to expose it
- 15:12–16:42: Surveillance concerns and user responsibility
- 18:54–19:34: Introducing digital twins and avatars for meetings
- 20:48–21:49: Prediction: Voice will eclipse typing and writing
- 22:34: Comparing AI’s capabilities to self-driving Teslas
- 24:00–24:59: Future vision: Conversational Knowledge Engine and enduring human interaction
Tone and Style
The conversation balances technical insight with personal anecdotes, maintaining a reflective and accessible style. Liang’s responses are candid, sometimes humble, and often framed within his own immigrant experience. The host, Zoe Kleiman, asks probing yet conversational questions, encouraging Liang to elaborate on both ethical concerns and practical implications of AI in everyday life.
For listeners curious about the intersection of technology, identity, and the future of work, this episode provides a nuanced, global perspective on how AI tools like Otter.ai are reshaping how humanity communicates, remembers, and collaborates.