Podcast Summary: The Prof G Pod with Scott Galloway

First Time Founders: Is Cohere the Next AI Powerhouse?

Host: Ed Elson | Guest: Nick Frost (Co-founder, Cohere)
Date: March 1, 2026

Main Theme / Purpose

This episode of "First Time Founders" delves into the rise of Cohere—an AI foundational model company focused exclusively on the enterprise—and its place in the rapidly-evolving AI landscape. Ed Elson interviews co-founder Nick Frost on the technological, historical, societal, and economic implications of AI, the distinctiveness of Cohere’s approach, and the industry’s fixation on artificial general intelligence (AGI). The conversation navigates from Nick’s personal journey through AI’s historical roots to the impact of this technology on work, inequality, geopolitics, and the future of Cohere.

Key Discussion Points & Insights

1. What is Cohere and What Sets It Apart?

• Cohere’s Unique Positioning
  • Cohere is one of about ten companies globally capable of building foundational (large language) models.
  • Distinctive for its singular focus on the enterprise market, providing private, secure, and easily deployable models for large organizations (Dell, SAP, Salesforce; [03:32–04:27]).
  • Unlike OpenAI or Anthropic, Cohere is not consumer-facing:
    • “We are not a consumer company and we're only an enterprise company... That is as mentioned, unique amongst the foundational model players.” (Nick Frost, [32:04])

2. The Landscape of Foundational AI Model Companies

• Why So Few?
  • Developing foundational models is “a lot more like building a rocket than... other computer science projects,” requiring immense talent, resources, and compute ([06:14–07:22]).
  • “There's really only about 10 companies in the world that are doing it because of that reason. In the same way that there's not that many companies building rockets either.” (Nick Frost, [06:14])

3. Nick Frost’s AI Journey & Roots at Google Brain

• Background in neural nets with mentorship under Geoffrey Hinton (“the godfather of AI”).
• Insights into how neural nets rose from academic obscurity to being foundational to today’s AI:
  • “The reason we are where we are with neural nets in general... is really his tenacity and dedication.” ([09:58–12:45])

4. Why This AI Moment is Different

• History and Consumerization
  • Past “AI moments” (Deep Blue, early machine learning, etc.) weren’t as transformative for everyday users.
  • The difference now is “any person without any experience can open up a chat window, ask it to do something, and it'll do it.” The direct, intuitive access for the average user is revolutionary ([14:56–18:06]).
• Notable quote:
  • “Transformers are the first time that any person without any experience in computer science or AI can go up to the model, open up a chat window, ask it to do something, and it'll do it...” (Nick Frost, [14:56])

5. The Path to Artificial General Intelligence (AGI)

• AGI as Narrative vs. Scientific Reality
  • Nick downplays hype around AGI, seeing it more as a “narrative device” than an achievable near-term goal:
    • “A lot of the thought around AGI... feels religious to me.” ([28:06])
    • “I don't really look out in the world and say, oh, geez, I wish my computer was a person. I look out and say, oh man, there's so much stuff a computer should be doing and not me...” (Nick Frost, [23:53])
  • He notes the focus on AGI can distract from urgent policy conversations about AI’s impact on society and inequality ([39:17–41:07]).

6. Enterprise Use Cases for Cohere’s AI

• Real-world deployments include:
  • Automating meeting prep by analyzing emails and CRM data.
  • Generating due diligence reports, cross-referencing internal documents, and communicating results via integrated platforms ([33:29–34:20]).

7. Impact on Jobs, Work, and Inequality

• Augmentation, Not Replacement
  • “Large language models will do a better job [at certain tasks]. The work itself is not very enjoyable. Humans are good at what LLMs are bad at and vice versa.” ([34:52])
  • AI will automate ~20–30% of desk work, similar to past industrial and tech revolutions ([34:52–38:32]).
• Inequality Concerns
  • Nick voices concern that tech like AI may exacerbate wealth gaps:
    • “Income, wealth inequality is... one of the most pressing issues for the world right now.” ([39:17])
    • Policy solutions (not technical fixes) are essential to address systemic consequences.

8. The IPO and Business Model

• Cohere aspires to be a “generational company” and sees the public markets as the path to outlasting its founders ([43:17–44:05]).
• Contrasts Cohere’s enterprise-focused, higher-margin business with consumer-focused companies like OpenAI:
  • “We don’t have a consumer offering... Our margins are a lot more like SaaS margins.” ([46:46])

9. AI, Geopolitics, and Infrastructure

• Only four countries—U.S., China, France, and Canada—can build this technology at scale ([48:57–49:05]).
• Nick argues that foundational AI is more akin to infrastructure (like roads, power plants) than weapons or commodities ([49:10–53:25]).

10. Personal View: Leadership, Pressure, and Advice to the Next Generation

• The responsibility weighs heavily: “It is a complicated, emotional experience to think... we are one of 10 companies in the world...” ([54:00])
• His advice to young people:
  • Don’t obsess over “optimal” careers—pursue curiosity and passion. The world is too chaotic to predict career trends.
  • “You should first and foremost be like, well, what am I excited about? What am I interested in?... Follow your curiosity, follow your passion more than you think, follow what's optimal.” ([55:55])
  • Learn history for perspective and grounding ([57:00–58:02]).

Notable Quotes & Memorable Moments

• On AGI Obsession:
  “A lot of the thought around AGI and discussion around AGI feels religious to me... The AGI conversation often distracts from... do we have the right policies in place to encourage better income distribution?”
  — Nick Frost ([28:06] & [39:17])

• On Enterprise Focus:
  “The big difference is we are not a consumer company and we're only an enterprise company... That is as mentioned, unique amongst the foundational model players.”
  — Nick Frost ([32:04])

• On AI’s Impact on Jobs:
  “I think this technology can automate, I don't know, 20 or 20, 30% of [desk] work... I think when history looks back at this, we'll largely say that it was a good idea, the same way people say the computer was a good idea, the same way people say the Industrial Revolution was a good idea.”
  — Nick Frost ([34:52])

• On Building a Public Company:
  “Aidan and Ivan and my goal... was to create something that outlasted us, was to create a generational company... I think the right way to do that is to become a public company.”
  — Nick Frost ([43:17])

• Advice to the Next Generation:
  “The world's too chaotic for you to predict what's right... Instead do is focus on what you're interested in... Conditioned on that your ability to be successful is much higher...”
  — Nick Frost ([55:55])

Key Timestamps

| Timestamp | Segment | |-----------|---------| | 02:13 | Introduction to Cohere and the AI market | | 03:32 | What makes Cohere unique among foundational model makers | | 06:14 | Why there are so few foundational model companies | | 07:32 | Nick Frost's path into AI and Cohere’s origins | | 09:23 | The influence and legacy of Geoffrey Hinton | | 12:45 | Why this is a different “AI moment”—history and chat interfaces | | 18:06 | Consumerization and productization of AI | | 23:53 | AI training beyond the web and the AGI debate | | 28:06 | AGI as religious narrative, not realistic milestone | | 32:04 | Cohere vs. OpenAI/Anthropic—focus on enterprise | | 33:29 | Enterprise use cases for Cohere’s AI | | 34:52 | Impact of AI on work and the economy | | 39:17 | AI and inequality—policy imperatives | | 43:17 | Plans for Cohere as a public company | | 46:46 | Why Cohere’s margins and business model differ from consumer AI companies | | 48:57 | Only four countries can build foundational AI models | | 53:25 | Does AI redefine geopolitics? | | 54:00 | The emotional and personal weight of leading an AI company | | 55:55 | Career advice for young people | | 57:00 | The grounding perspective of history |

Conclusion

This episode offers a deep look at how foundational AI models are being shaped from inside the industry, what differentiates Cohere, and why AI’s next chapter may be written more in boardrooms than living rooms. Throughout, Nick Frost provides honest, clear-eyed commentary on the direction of AI—both technologically and societally—highlighting the importance of policy, historical context, and following personal curiosity in a time of breathtaking technological change.