Don't view AI as just a feature set. Instead, treat "intelligence" as a fundamental new building block for software, on par with established primitives like databases or APIs. When conceptualizing any new product, assume this intelligence layer is a non-negotiable part of the technology stack to solve user problems effectively.

While LLMs dominate headlines, Dr. Fei-Fei Li argues that "spatial intelligence"—the ability to understand and interact with the 3D world—is the critical, underappreciated next step for AI. This capability is the linchpin for unlocking meaningful advances in robotics, design, and manufacturing.

Pulse isn't just a feature; it's a strategic move. By proactively delivering personalized updates from chats and connected apps, OpenAI is building a deep user knowledge graph. This transforms ChatGPT from a reactive tool into a proactive assistant, laying the groundwork for autonomous agents and targeted ads.

The evolution of Tesla's Full Self-Driving offers a clear parallel for enterprise AI adoption. Initially, human oversight and frequent "disengagements" (interventions) will be necessary. As AI agents learn, the rate of disengagement will drop, signaling a shift from a co-pilot tool to a fully autonomous worker in specific professional domains.

World Labs co-founder Fei-Fei Li posits that spatial intelligence—the ability to reason and interact in 3D space—is a distinct and complementary form of intelligence to language. This capability is essential for tasks like robotic manipulation and scientific discovery that cannot be reduced to linguistic descriptions.

Agentic AI will evolve into a 'multi-agent ecosystem.' This means AI agents from different companies—like an airline and a hotel—will interact directly with each other to autonomously solve a customer's complex problem, freeing humans from multi-party coordination tasks.

The future of AI isn't just in the cloud. Personal devices, like Apple's future Macs, will run sophisticated LLMs locally. This enables hyper-personalized, private AI that can index and interact with your local files, photos, and emails without sending sensitive data to third-party servers, fundamentally changing the user experience.

AR and robotics are bottlenecked by software's inability to truly understand the 3D world. Spatial intelligence is positioned as the fundamental operating system that connects a device's digital "brain" to physical reality. This layer is crucial for enabling meaningful interaction and maturing the hardware platforms.

Human intelligence is multifaceted. While LLMs excel at linguistic intelligence, they lack spatial intelligence—the ability to understand, reason, and interact within a 3D world. This capability, crucial for tasks from robotics to scientific discovery, is the focus for the next wave of AI models.