Qualcomm CEO Says AI Agents Will Replace Apps — 40+ AI-Powered Devices in the Pipeline

TL;DR: Qualcomm CEO Cristiano Amon told CNBC on June 16 that the company is working on more than 40 designs for new AI-native devices, doubling down on a year-long thesis that AI agents will replace smartphone apps as the primary interface between humans and technology. The announcement caps a six-month hardware blitz that has seen Qualcomm ship agent-class NPUs across every form factor — from $800 laptops to wrist-worn wearables — and launch a data center brand to run the inference workloads those devices offload.

The Prediction Heard Around the World

Speaking to CNBC’s The Tech Download on Tuesday, Qualcomm CEO Cristiano Amon made his most explicit prediction yet about the future of consumer computing: AI agents are the new apps.

“Amon said AI agents will become the ‘new app’ as consumers’ relationship with their devices change,” CNBC reported, revealing that Qualcomm is actively designing over 40 new AI-powered devices across its partner ecosystem (Source: CNBC — Qualcomm CEO says AI agents will replace apps).

It’s a statement that would sound hyperbolic from most CEOs, but Amon has been laying the groundwork for it all year. The trajectory is worth tracing, because it reveals a company making the single largest strategic pivot in its 40-year history.

From Smartphone Hub to Agent Hub: Qualcomm’s Radical Thesis

At Computex 2026 in Taipei two weeks ago, Amon articulated the vision with unusual clarity: the smartphone is no longer the center of digital life.

“The phone is now at the center of a digital life, and therefore everything is around the phone. But now this is different,” Amon said in his June 1 keynote. “Agents become the center of your digital experience. It’s not about an extension of the phone, and the digital ecosystem is no longer at the phone itself, in the OS and the applications” (Source: TradingView/MarketBeat — Qualcomm Says 2026 Is the ‘Year of Agents’).

This is a remarkable statement from the company that supplies the modems for virtually every premium smartphone on Earth, including Apple’s iPhone. Qualcomm built its $190 billion market cap on the smartphone era. Now its CEO is publicly betting that era ends.

The thesis, boiled down: when an AI agent can book your flights, order your groceries, manage your calendar, and answer your messages across services, you don’t need 80 individual apps with 80 individual UIs. You need one intelligent layer that talks to APIs on your behalf.

This is the same insight driving Perplexity’s Comet browser agent — a $200 million bet that the browser, not individual apps, becomes the agent’s operating environment — and it’s the logic behind MetaMask’s new agent wallet, which lets AI agents execute DeFi transactions without a human tapping “confirm” on every swap.

But Qualcomm’s angle is distinct: the company that makes the silicon decides what form factors are possible.

The Hardware Roadmap: Snapdragon Everywhere

Qualcomm’s 2026 hardware announcements form a coherent stack — from wrist to data center — purpose-built for agentic workloads.

Snapdragon X2 Plus: Agent-Class AI in an $800 Laptop

At CES 2026 in January, Qualcomm unveiled the Snapdragon X2 Plus, a 3nm system-on-chip with an 80 TOPS Hexagon NPU. The headline wasn’t just the spec — it was the price point. Laptops built on X2 Plus start at $800, bringing agent-class on-device AI to the mainstream (Source: WebProNews — Qualcomm Snapdragon X2 Plus).

The companion Snapdragon X2 Elite pushes the NPU to 85 TOPS for premium devices, but the strategic insight is the Plus: by putting 80 TOPS in a mid-range chip, Qualcomm ensures developers can target a single agentic AI baseline without worrying about hardware fragmentation.

“Local AI workloads like live captions, image generation, and agentic AI tasks should run just as fast on an entry-level X2 Plus laptop as they do on a top-tier X2 Elite system,” noted Electronics-Lab in its CES coverage (Source: Electronics-Lab — Snapdragon X2 Plus 3nm SoCs).

Snapdragon Wear Elite: 2 Billion Parameters on Your Wrist

At MWC 2026 in March, Qualcomm introduced the Snapdragon Wear Elite — the first wearable platform with a dedicated Hexagon NPU, rated at 12 TOPS and capable of running AI models up to 2 billion parameters entirely on-device (Source: Qualcomm — Snapdragon Wear Elite).

The platform is designed for more than smartwatches. Qualcomm explicitly targets AI pendants, smart pins, and display-less smart glasses — form factors that don’t need a screen because the interface is voice and the intelligence is local.

This matters for latency and privacy. An agent running on-device doesn’t round-trip to the cloud for basic intent understanding. It hears “remind me to call Sarah at 3pm,” processes it locally, and acts.

Snapdragon C: AI for $300 Laptops

At Computex, Qualcomm also announced Snapdragon C, targeting Windows laptops priced as low as $300 (Source: Pulse 2.0 — Qualcomm at Computex 2026). This expands the addressable market for on-device AI dramatically — a student in Mumbai or São Paulo buying a $300 laptop gets the same agent-capable NPU architecture as a premium device.

Dragonfly: The Data Center Bet

For workloads too heavy for on-device execution, Qualcomm launched Dragonfly at Computex — a new brand for data center inference chips covering server CPUs, AI accelerators, and custom silicon built with hyperscalers (Source: ServeTheHome — Qualcomm Dragonfly).

The logic: agents don’t just need local inference. They need a cloud backend that can handle multi-step planning, retrieval-augmented generation, and tool calls at scale. Dragonfly is Qualcomm’s answer to NVIDIA’s data center dominance — a bet that inference, not training, becomes the economically dominant AI workload.

The 40+ Device Designs: What’s Coming

The CNBC interview’s most concrete revelation was the pipeline number: over 40 new AI-powered device designs in active development. Qualcomm didn’t disclose the full list, but the hardware roadmap above strongly hints at the categories:

Form Factor	Platform	Timeline	Notable
AI laptops ($300–$800)	Snapdragon C, X2 Plus	Shipping now	80 TOPS NPU at mainstream prices
Smart glasses	Wear Elite, Snapdragon AR2	2026 H2	Display-less voice agents; Meta partnership
AI pendants / pins	Wear Elite	2026 H2	2B parameter models on-device
Smartwatches	Wear Elite	Late 2026	Samsung Galaxy Watch 9 rumored
AI-powered vehicles	Snapdragon Ride Elite	2026–2027	Google partnership for software-defined vehicles
Humanoid robots	Snapdragon Robotics	2027+	Figure AI partnership
Data center inference	Dragonfly	2027+	Custom silicon with hyperscalers

Perhaps the most significant category is smart glasses. Amon has repeatedly singled them out as the likely smartphone successor. “2026 is the year of agents,” he said at Computex, specifically calling out glasses as the form factor where agents make the most sense — always on, always listening, but processing locally (Source: Taipei Times — AI agents to replace smartphones).

This aligns with Meta’s aggressive Muse and Spark smart glasses deployment, which shipped to developers in early June. Qualcomm supplies the silicon for Meta’s Ray-Ban Stories — expect the partnership to deepen.

The App Store Disruption: Apple’s $100 Billion Question

If AI agents replace apps, the most obvious casualty is the app store model itself.

Apple’s App Store generated an estimated $100 billion in gross revenue in 2025, with Apple taking a 15–30% commission. Google Play adds tens of billions more. This entire economic structure depends on users discovering, downloading, and engaging with individual apps.

In an agent-first world, that model collapses. The agent doesn’t open the United app, then the Marriott app, then the Uber app to plan a trip. It calls their APIs directly. The user never sees a download button.

Apple isn’t blind to this. At WWDC 2026 earlier this month, the company previewed a Gemini-powered Siri reboot and hinted at an App Store framework for AI agents — a recognition that the old distribution model needs a rewrite (Source: The Agent Report — WWDC 2026 Apple AI Agent Preview).

But Apple faces a dilemma Qualcomm doesn’t: Apple profits from the app economy; Qualcomm profits from the chips that power whatever replaces it. This asymmetry explains why a chip CEO is more comfortable predicting the death of apps than a platform CEO ever could be.

Skeptics and Counterarguments

Amon’s prediction isn’t without pushback. Several counterarguments deserve airing:

1. Apps evolved for a reason. A dedicated banking app has UI patterns, security layers, and regulatory compliance that a generic agent layer can’t trivially replicate. Agents that “call APIs” still need those APIs to exist, be documented, and be maintained.

2. The transition will be messy, not binary. Apps won’t disappear overnight. More likely, apps add agentic features gradually — your Uber app starts taking voice commands before the standalone app disappears entirely.

3. Privacy concerns at scale. An agent that coordinates across your entire digital life has access to everything — email, calendar, location, purchases, messages. The security implications are qualitatively different from siloed apps. As we reported in our comprehensive AI agent security guide, only 11% of current agent frameworks pass basic security audits.

4. Qualcomm’s own history. The company has made bold platform predictions before — remember the “always-connected PC” push? The difference this time is silicon: the NPU is real, the TOPS are real, and the ecosystem of agent frameworks (Claude Desktop, Hermes, OpenClaw) running on Snapdragon is real.

FAQ

Q: Is Qualcomm actually making these 40 devices, or just designing chips for them?

Qualcomm is a fabless semiconductor company — it designs the chips and reference platforms. The 40 designs are co-developed with OEM partners (Samsung, Lenovo, Meta, Xiaomi, etc.) who will manufacture and sell the final devices.

Q: What does “agents replace apps” actually mean for me as a user?

Instead of opening 10 apps to plan a trip (Skyscanner, Airbnb, Uber, Google Maps, WhatsApp…), you’ll describe what you want to an agent, and it will coordinate across services on your behalf. The interface shifts from tap-and-swipe to conversation-and-delegation.

Q: When will these 40+ devices actually ship?

Some are shipping now (Snapdragon X2 Plus laptops). Wear Elite devices are expected in H2 2026. Smart glasses likely appear in late 2026 or early 2027. Dragonfly data center products are 2027+.

Q: How does this relate to what Apple is doing?

Apple is approaching from the platform side — integrating agents into Siri and the App Store while preserving its commission model. Qualcomm is approaching from the silicon side — making the hardware that enables agents regardless of who builds the platform. It’s a hardware vs. platform battle.

Q: Is Qualcomm competing with NVIDIA?

Partially. NVIDIA dominates AI training; Qualcomm’s Dragonfly targets inference. An agent-heavy world generates vastly more inference than training workloads, which is the bet behind Dragonfly. But NVIDIA’s Project Digits and ARM-based inference chips put the two on a collision course.