Interview, Podcast
a16z Podcast | Location, Location, Location -- and Mobile
- Industry Trend: Major shifts in Google I.O. and Apple's WWDC indicate a move toward proactive computing, where devices predict user needs rather than waiting for explicit queries, effectively ending the era of the "10 blue links."
- Prediction: Devices are evolving into a "first brain" extension of humans, capable of anticipating needs such as hunger, exercise state, or music preferences before the user acts.
- Problem Statement: Despite having "pocket supercomputers" with dozens of sensors, a critical layer of context for physical indoor environments remains missing, despite humans spending approximately 80% of their time indoors.
- Technical Constraint: The physical layer of the network (specifically signal penetration) has not advanced; GPS satellites cannot be expected to accurately locate phones inside buildings within the next five years, regardless of semiconductor Moore's Law improvements.
- Competitive Strategies: Apple and Google are approaching location context from opposite ends:
- Apple: Leveraging device-side sensors (motion, face-down detection) and hardware integration to optimize battery and signal hunting.
- Google: Utilizing cloud-scale data, "Now" services, and proactive suggestions to determine utility based on user behavior.
- Developer Friction: The industry struggles with the "app installation" bottleneck; users rarely install specific store or mall apps, necessitating a shift toward operating-system-level context layers that surface information without requiring full app launches.
- Historical Analogy: Steve Cheney compares the current shift to the invention of the mouse, which transformed the computer from a command-line tool into a visual "canvas" for developers; smartphones are now becoming the "mouse cursor" for the physical world.
- UX Evolution: Removing friction through wearables (e.g., Apple Watch) and precise sensors transforms tedious tasks (looking at a map) into ordinary behaviors (tapping the wrist), making previously "impossible" actions standard.
- Platform Shift: Unlike the PC era where the web browser (Netscape) was the primary interface, the smartphone OS has become the services layer, allowing direct access to contacts, photos, and now deep contextual data.
- Privacy & Control: As OS-level tracking increases to enable proactive features, Apple is emphasizing privacy, while the central challenge becomes calibrating indoor venues to provide precise location data without excessive battery drain.
- Market Data: Apple reportedly has a fleet of cars driving every street globally to build "ground truth" for maps, contrasting with Google's existing dominance in location data.
- Strategic Divergence: While both Google and Apple are building digital copies of the physical world in the cloud, they likely have different long-term intentions for this data.
- Future Outlook: Contextual data (e.g., pet sensors, room occupancy) will act as "PageRank for the real world," obviating the need for manual data entry and potentially automating routine human tasks like walking a dog.