Beyond the Smartphone: The Rise of the Intelligence Layer
For over a decade, the smartphone has been the undisputed center of our digital lives. But as we enter the age of artificial intelligence, a fundamental question is emerging: do we really need a screen and a grid of apps to interact with AI?
The industry is currently witnessing a shift from standalone hardware to an orchestration-led model. Rather than trying to build the “one device to rule them all,” modern players are focusing on the “intelligence layer”—a foundational software stack that allows any physical object to develop into smart.
What we have is the core mission of Era, a startup that recently secured $11 million in total funding. By providing a software platform instead of manufacturing gadgets themselves, Era is enabling a “Cambrian explosion” of specialized AI devices, from jewelry and glasses to home speakers.
Why the ‘App-Centric’ Model is Fading
The traditional mobile experience relies on the “app layer”—you open a specific application to perform a specific task. Yet, AI orchestration is beginning to replace this need. Imagine a world where you don’t open a weather app or a stock tracker, but instead, your device simply provides the answer through a seamless intelligence layer.
This shift is driven by the ability to manage multimodal inputs and dynamic routing across various models. Instead of being locked into one ecosystem, the intelligence layer can route a request to the most efficient model based on the task, managing real-world constraints like connectivity in real-time.
This approach addresses a major pain point in the AI hardware sector: the high failure rate of standalone gadgets. By commoditizing the intelligence layer, hardware makers can focus on user experience and industrial design rather than building complex AI infrastructure from scratch.
Real-World Experiments in AI Hardware
The potential for this “invisible” software layer is already appearing in experimental gadgets. Recent showcases have featured devices such as:
- Contextual Souvenirs: Gadgets that provide facts and jokes about a specific location, like France.
- Financial Agents: Phone-like devices that monitor stocks to tell the user if it is the right day to quit their job.
- Environmental Sensors: Specialized gadgets dedicated to reporting air quality.
These examples highlight a move toward purpose-built hardware—devices that do one or two things exceptionally well, rather than attempting to be a general-purpose computer.
Orchestration vs. Manufacturing: A Strategic Pivot
The AI hardware landscape is splitting into three distinct strategic directions. Understanding these helps predict where the market is heading: [Internal Link: AI Hardware Market Trends].
1. The Integrated Approach: Companies like Brilliant Labs manufacture their own hardware (such as the ‘Halo’ AI glasses) while providing an open-source SDK for developers to build on top of it.
2. The Infrastructure Approach: Firms like Cartesia focus on a specific essential component—in their case, real-time voice AI infrastructure—and provide it via API to other gadget makers.
3. The Full-Stack Orchestration Approach: This is where Era positions itself. By acting as a horizontal software layer that handles everything from customized voice creation to inference, they aim to be the operating system for any AI-enabled object.
The Pedigree of AI Orchestration
The shift toward this intelligence layer is being led by veterans who have seen the pitfalls of early AI hardware. Era’s leadership team includes alumni from Humane, HP, and the io project (a collaboration involving Sam Altman and Jony Ive).
This expertise is critical because the “intelligence layer” must solve difficult physical-world problems. As noted by investor Casey Caruso of Topology Ventures, the ability to manage connectivity and dynamic routing is what separates a successful AI platform from a mere novelty gadget.
With backing from prominent figures like Flickr co-founder Caterina Fake and iPhone keyboard creator Ken Kocienda, the industry is betting that the future of consumer AI lies in decentralized, expressive devices rather than centralized smartphone ecosystems.
Frequently Asked Questions
What is an AI “intelligence layer”?
An intelligence layer is a software platform that sits between the hardware and the AI models. It handles the complex tasks of routing requests to the right LLM, processing multimodal inputs (like voice or images), and managing connectivity, allowing hardware makers to build AI gadgets without writing the underlying AI logic from scratch.
Will AI gadgets replace smartphones?
Rather than a total replacement, the trend is toward decentralization. Instead of one device doing everything, we may see a variety of purpose-built gadgets (rings, glasses, pendants) that handle specific tasks, all powered by a common intelligence layer.
Who are the main competitors in the AI hardware space?
The space includes integrated manufacturers like Brilliant Labs, specialized API providers like Cartesia, and orchestration platforms like Era. Previous attempts at AI-first hardware include the Humane AI Pin and Rabbit.
