At CES 2025 AI House, our CEO Alex Yeh participated in a panel discussing the state of Global AI Investments.
Here’s the summary of takeaways:
For enterprises: Address systemic challenges like security and data silos to unlock AI’s full potential.
For startups: Focus on speed, cost, and usability to gain a competitive edge in crowded markets.
For investors: Look for vertical-specific applications that address real-world problems and have clear paths to scalability.
- The evolving AI Investment landscape: Companies are trying to cut labor costs with AI agents, and we can soon expect to see subject matter experts paired with AI to scale disruptive businesses. ~ Warren Packard and Tony Kim
- Enterprise security will see more investments as businesses worry about where sensitive data is being stored.
- Ethical and regulatory pitfalls need to be given due consideration. ~ Tien Wong
- Startups win by three factors: speed, cost, and ease of use. Moyi Dang notes how her company Coinfeeds succeeds through speed and scalability, and startups need to prioritize tools that are simple and easy to deploy because they cannot manage complex infrastructure.
- Datasets are important. It’s important to have localized data, and there may be a future for synthetic data. We may soon see advances in synthetic datasets to make future breakthrough advancements.
- Consolidation is coming. As infrastructure sees mergers and acquisitions, opportunities will move to other layers like the application layer.
- New markets will be created as a result: for data, for applications, for frameworks, or something that we currently cannot imagine yet.
What do you think the AI industry will soon demand?