In this episode, Nicholas Grous and Sam Korus are joined by ARK Chief Futurist, Brett Winton, to delve into the Mary Meeker AI Trends Report, discussing the rapid adoption of AI technologies, the evolving role of AI in trust and validation, and the changing landscape of search behavior. They explore the monetization of AI, the investment landscape, and the future of autonomous vehicles, concluding with a positive outlook on AI's trajectory.

If you know ARK, then you probably know about our long-term research projections, like estimating where we will be 5-10 years from now! But just because we are long-term investors, doesn’t mean we don’t have strong views and opinions on breaking news. In fact, we discuss and debate this every day. So now we’re sharing some of these internal discussions with you in our new video series, “The Brainstorm”, a co-production from ARK and Public.com. Tune in every week as we react to the latest in innovation. Here and there we’ll be joined by special guests, but ultimately this is our chance to join the conversation and share ARK’s quick takes on what’s going on in tech today.

Key Points From This Episode:

• The rapid pace of AI adoption is unprecedented.
• AI is reshaping how we validate information and trust sources.
• Search behavior is evolving with the integration of AI.
• Monetization strategies for AI are becoming clearer.
• Investment in AI infrastructure is crucial for growth.
• Autonomous vehicles are on the brink of mainstream adoption.
• AI's role in education could revolutionize assessment methods.
• The competition between the US and China in AI is intensifying.
• Consumer behavior is shifting towards AI-driven solutions.
• Optimism about AI's future is warranted despite pessimistic narratives.

For more updates on Public.com:

Website: https://public.com/

YouTube: @publicinvest

X: https://twitter.com/public

In this episode, Nicholas Grous and Sam Korus discuss the recent Google I.O. event and OpenAI's significant acquisition, exploring the implications for generative AI and the competitive landscape between Google and Apple. They delve into Google's unified strategy for integrating AI across its ecosystem, the introduction of new tools for creators, and the potential future of AI hardware. The conversation highlights the challenges and opportunities for both tech giants as they navigate the evolving AI landscape.

If you know ARK, then you probably know about our long-term research projections, like estimating where we will be 5-10 years from now! But just because we are long-term investors, doesn’t mean we don’t have strong views and opinions on breaking news. In fact, we discuss and debate this every day. So now we’re sharing some of these internal discussions with you in our new video series, “The Brainstorm”, a co-production from ARK and Public.com. Tune in every week as we react to the latest in innovation. Here and there we’ll be joined by special guests, but ultimately this is our chance to join the conversation and share ARK’s quick takes on what’s going on in tech today.

Key Points From This Episode:

• Google's I.O. showcased a unified strategy for generative AI.
• The integration of AI into Android and Chrome is a key focus.
• Project Mariner aims to enhance browser capabilities with AI.
• Veo 3 represents a significant advancement in AI video generation.
• Generative AI tools are democratizing content creation.
• Apple needs to innovate quickly to stay competitive in AI.
• The future of AI hardware may not require screens.
• Privacy concerns will shape the design of new AI devices.
• Google's consumer-facing products are still strong despite past failures.
• The competition between Google and Apple will define the AI landscape.

For more updates on Public.com:

Website: https://public.com/

YouTube: @publicinvest

X: https://twitter.com/public

In this episode of FYI – For Your Innovation, Brett Winton and ARK analyst Nemo Despot sit down with Generate Biomedicines CEO Mike Nally and CFO Jason Silvers to explore how generative AI is transforming the discovery and development of protein-based therapeutics. Founded in 2018 by Flagship Pioneering, Generate Biomedicines is building a “self-driving lab” that combines machine learning, cryo-electron microscopy (cryo-EM), and high-throughput wet lab automation to dramatically accelerate drug development. The conversation dives into how Generate is reimagining protein therapeutics — going beyond trial-and-error methods to a data-first, design-driven model for creating novel medicines. The team discusses the company’s proprietary approach to integrating structural biology with functional data, the economic implications of reducing time-to-market from 13 years to under 9, and how their platform could unlock treatments for diseases that have been historically undruggable. They also touch on strategic partnerships, scalability, and how AI is shifting the biotech business model from artisanal science to an industrialized, data-driven enterprise.

• 00:01:30 Why Generate Biomedicines is rethinking protein drug discovery from first principles
• 00:04:40 How their structure-first approach differs from peers like AbSci and Recursion
• 00:07:04 Using cryo-EM to build proprietary protein interaction datasets
• 00:10:57 Traditional drug discovery is random, expensive, and inefficient — here’s how Generate is changing that
• 00:16:58 From concept to clinic in 18–24 months: Accelerating timelines through AI
• 00:20:47 Going beyond efficiency: Unlocking access to undruggable biology
• 00:24:48 Turning cryo-EM into a high-throughput data engine for model training
• 00:31:20 The long-term vision: Patient-specific protein therapeutics
• 00:40:00 Why scalability gives Generate an edge over traditional biotech
• 00:47:52 The future of biotech as a research & development (R&D) sharing economy
• 00:54:19 Adapting fast: Keeping pace with generative AI advances across the stack
• 01:00:16 The KPI (key performance indicator) for platform success: Rate of improvement