20VC: Why Model Providers Will Kill Many Startups Moving into the Application Layer | Why Deepseek is not a Threat to OpenAI & Why OpenAI Beats Anthropic | Apps vs Models vs Infrastructure: Where is Value in AI with Sridhar Ramaswamy, Snowflake CEO
Feb 10, 2025
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Sridhar Ramaswamy, CEO of Snowflake and former Google executive, dives into the competitive landscape of AI with compelling insights. He argues that OpenAI will ultimately outperform competitors like Deepseek and Anthropic. Ramaswamy discusses how model providers might disrupt startups in the application layer and addresses Snowflake's rivalry with Nvidia and Databricks. He also shares lessons on leadership, the impact of wealth on decision-making, and parenting philosophies, offering a unique perspective on balancing personal values with corporate success.
Established companies like OpenAI possess the ability to pivot rapidly, posing risks for startups relying on their AI technologies.
Successful leadership requires balancing high performance expectations with fostering a supportive culture and maintaining open communication in growing teams.
Sustainable value creation in the AI sector hinges on building strong customer relationships and offering dependable product experiences over mere applications.
Deep dives
The Blurred Lines of AI Infrastructure and Applications
Building a startup on top of AI technologies from companies like OpenAI is viewed as risky due to the undefined borders between infrastructure and application providers. Established companies are in a position to pivot their offerings with little warning, meaning that startups must remain agile to avoid being outmaneuvered. The distinction between a sustainable model and a transient product is crucial, as seen with the difference in performance between Anthropic and ChatGPT. The latter’s success lies in its comprehensive product features, which add durability to its market position.
Advice for Graduates Entering the Job Market
Navigating today's job market requires a mindset that combines passion with societal value. Advice for young graduates is to pursue careers that align with both their interests and the demands of the workforce. Embracing change, especially with the advancement of AI, is essential, as skills will evolve in response to new technologies. The key takeaways focus on the importance of adaptability, dedication, and a forward-thinking attitude in building a successful career.
The Impact of AI on Knowledge Professions
AI is set to significantly transform various professional sectors, including software engineering, which is often perceived as vulnerable due to automation. However, software professionals can find immense value in integrating AI tools into their workflows, enhancing their overall efficacy. The conversation also points to the unpredictability of AI's impact on job security within knowledge professions, yet emphasizes the need for continuous skills development. As AI becomes an integral part of many roles, professionals must stay open to learning and adapting their skill sets.
The Challenge of Business Scaling and Leadership
Successful leadership in a rapidly growing company involves navigating the expectations of high performance while fostering a supportive environment. Setting clear expectations and openly communicating with team members about their roles and contributions play vital roles in maintaining a productive culture. The importance of having difficult conversations when necessary is highlighted, as avoiding such discussions can hinder team growth and development. Ultimately, effective managers must balance the demands of growth with genuine care for their employees’ well-being.
The Future of AI and Market Value Creation
Sustainable value creation in the AI space is seen as challenging due to the rapid commodification of models. Companies must focus on leveraging customer relationships and providing reliable value to maintain their competitive edge in the AI landscape. There is a recognition that while some start-ups may offer enticing applications, they lack the robust product experiences that established players have cultivated. Companies like Snowflake that embrace AI to enhance their data capabilities are positioned for long-term success, but the landscape remains uncertain as new entrants emerge.
Sridhar Ramaswamy is the CEO @ Snowflake, the $60BN public company with $3.5BN in revenue growing 30% per year. Sridhar joined Snowflake following his company, Neeva, being acquired by them for $150M. Prior to founding Neeva, Ramaswamy spent 15 years at Google where he had an integral part in the growth of AdWords and Google’s advertising business from $1.5 billion to over $100 billion.
In Today’s Episode We Discuss:
1. OpenAI vs Deepseek vs Anthropic:
Why will OpenAI beat Deepseek? What does no one see with Deepseek that they should see?
Why has OpenAI beaten Anthropic? What elements turn a model from a commodity into a sustaining product suite?
Will model providers become application providers?
Will OpenAI be the biggest killer of startups in the next 10 years?
2. Snowflake vs Nvidia & Databricks:
To what extent is Sridhar concerned NVIDIA will move into the data layer and compete with Snowflake?
How does Sridhar view the competition from Databricks? What have they done better than them? What have they done worse than them and lost on?
Does being private hurt or help Databricks in their fight against Snowflake?
If Sridhar could, would he take Snowflake private today?
3. Leadership, Parenting, Money:
Do richer leaders make better leaders? How does being rich change the mindset of a leader?
What are Sridhar’s biggest lessons when it comes to parenting?
What about the way that Sridhar was brought up, did he do deliberately differently with his kids?
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