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20VC Roundtable: Spotify, Adobe & Linkedin CPOs on How AI Changes The Future of Product, Why AI is Now the Product, How TikTok Changed Product, Why Cost is the Biggest Barrier to LLM Usage & Why Incumbents Can Adopt AI Faster Than Any Prior Innovation Cyc

Dec 20, 2023

Join Gustav Söderström from Spotify, Scott Belsky from Adobe, and Tomer Cohen from LinkedIn as they explore how AI is reshaping product design and development. They discuss why AI has become the central product, the evolving role of user interfaces, and the shift in workforce dynamics required in an AI-first world. The trio debates the balance between model diversity and data quality, while also touching on the ethical considerations of AI usage. Emphasizing the opportunities AI presents, they highlight the necessity for continuous learning in adapting to this new landscape.

50:23

Creator website

Episode guests

Tomer Cohen

Scot Belsky

Gustav Söderström

AI Summary

Highlights

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

AI is now the product, with UI serving as support, leading to better product development and user experiences.

Cost efficiency is crucial in AI development, especially in tasks like generating voice content, to deliver pragmatic products.

Companies must retool their organizations and mindset to align with AI-first principles, educating teams and redefining design and product approaches for an AI-driven future.

Deep dives

The shift towards AI as the product

The podcast episode discusses the shift towards AI being the product and the UI being there to assist the AI. This shift empowers designers to understand AI models as deeply as they understand the user, leading to better product development and user experiences.

Designers Need to Understand AI Capabilities for User Experience

01:33

How To Do Product in a World with Weekly AI Innovations

01:53

Impact of AI on Product Development Process

02:00

AI-First Business Models Will be Disruptive

00:45

Intro

2min

AI's Transformative Role in Product Development

8min

Navigating AI Model Diversity in Product Development

18min

Navigating AI Model Ethics and Business Innovation

11min

Navigating the Future of Work

4min

AI and Adaptability in Product Management

4min

The Excitement of Embracing AI Innovations in Product Design

2min

Gustav Söderström is the Co-President, CPO & CTO at Spotify. Gustav has been instrumental in taking Spotify from a 30-person operation in Sweden when he joined to being the global leader of the space.

Scott Belsky is Adobe’s Chief Product Officer and Executive Vice President, Creative Cloud. Scott oversees all of product and engineering for Creative Cloud, as well as design for Adobe.

Tomer Cohen is the Chief Product Officer @ Linkedin where he is responsible for setting and executing the global product strategy at LinkedIn.

In Today's Episode on How AI Changes The Future of Product and Design We Discuss:

1. Why AI Is Now the Product that UI Serves:

Why does Gustav believe that AI is now the product?
How has the importance of UI changed with the rise of AI?
How did TikTok change the product paradigm over the last few years?

2. What Matters More Models or Data:

What is more important the size of the model or the amount of data a company has?
Will companies use many models at the same time?
Why will companies using many models at once create a huge opportunity for startups?
Will every company have their own model? What will be the decision-making framework of whether to have your own model or leverage another?
How does the rise of AI change how companies approach data acquisition, collection and cleaning?

3. The Workforce Needs to Change with AI:

How do product leaders and teams need to change in an AI-first world?
What do designers need to do to stay up to date in an AI-first world?
What does it mean to be good at prompting? How can people get good at prompting?
Why will AI kill companies that charge by the hour?
Why will seat pricing die in a world of AI? What will be the business model for AI?

4. Incumbents vs Startups: Who Wins:

Do incumbents win in a world of AI or do startups?
Why is AI primed for incumbents to win and move fast in a way they could not in prior technology cycles?
What are the biggest hurdles and challenges incumbents have to face that startups do not?
What are the biggest barriers that startups have to win in a world of AI that incumbents do not have?

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