How 6G Could Be Monetized: Sensing Data and Physical AI Services

Mobile operators built 5G mainly around faster downloads and lower latency for phones. For 6G, industry executives say that model will not generate enough new revenue on its own. Instead, the emerging business case centers on two capabilities that go beyond moving data: using the network itself as a sensor, and selling AI compute and connectivity to machines rather than people.

Why speed alone won't pay for 6G

At the RCR Wireless 6G Forum, Rana Kamill of BT summarized the shift panelists described: "5G improved connectivity, but we believe that 6G should improve experiences," she said, according to Light Reading's coverage of the event. The panel argued that 6G needs to be framed around AI-powered services and seamless connectivity rather than peak speeds for smartphones.

Ericsson's white paper on 6G for the 2030s describes the target network as an "AI-native intelligent fabric uniting cloud, compute, and connectivity," built on top of 5G Standalone infrastructure. The company says operators can raise revenue through "new services offered from the mobile platform stack," rather than from connectivity upgrades alone.

Turning the network into a sensor: ISAC

One of the most discussed revenue paths is Integrated Sensing and Communication, or ISAC, which lets a mobile network detect drones, vehicles and people in addition to carrying data. Light Reading reports that Verizon and Lockheed Martin are already testing a service called NetSense, which uses existing 5G infrastructure to provide airspace awareness; the companies are targeting commercial availability in 2027, with pilot deployments running through 2026 and 2027.

Ericsson's white paper describes a live experiment in which ISAC and positioning data tracked a drone with 2-3 meter horizontal accuracy, which the company says gives "instantaneous situational awareness" for use cases such as connected AI-enabled cities.

Standards work on ISAC is already under way inside 3GPP, the body that sets global mobile standards. According to Light Reading, roughly 1,000 potential 6G use cases have been submitted to 3GPP working groups, and ISAC capabilities are being developed across 5G-Advanced Releases 19 and 20 before carrying over into 6G Release 21. Not everyone agrees on the pace: Daniel Bliss of Arizona State University told the forum that sensing involves "difficult technical problems" that still require significant 3GPP work, while others at the event argued the market should not wait for full standardization before deploying commercial sensing services.

Physical AI: selling connectivity to robots and drones

The second pillar vendors and operators point to is often labeled "physical AI": robots, drones and other connected machines that need high uplink capacity and very low latency to operate safely in real time. Light Reading describes this as a promising future revenue stream alongside ISAC, digital twins for testing network vulnerabilities, industrial fixed wireless access and private 6G networks for utilities.

Ericsson names Autonomous Mobile Robots as a priority use case, saying they need "spatial services from the networks for safe and reliable operation, and constant access to AI tools." On the architecture side, RCR Wireless reports that 3GPP Release 20 proposes a dedicated AI domain inside the 6G core network — separate from traditional data-switching functions — that would process intents coming from devices, network-side AI agents and third-party systems. One panelist at the event covered by RCR Wireless said work on AI and integrated sensing originally planned for 6G is being "pulled backwards to now" because of defense and operational demands.

Testing the business model before 6G arrives

Because full 6G standards and devices are still years away, several sources describe current 5G-Advanced networks as the place where operators can validate pricing and demand first. Steve Douglas, head of market strategy at Spirent Communications, writes in The Fast Mode that operators should treat the next two years as groundwork rather than a waiting period, monetizing three capabilities now: ISAC services such as drone detection and infrastructure monitoring; edge AI positioned as "a programmable service fabric for AI workloads" rather than basic compute; and a migration from RedCap IoT connections toward battery-free "ambient IoT" devices.

Douglas adds that extensive use-case work across the industry has not yet pinned down which applications will reliably produce large operator revenue, so proving demand on existing networks is presented as a way to enter the 6G era with a tested commercial model rather than an unproven one.

When 6G is expected to arrive

Timelines vary slightly by source but point to the end of this decade. The Fast Mode reports that 3GPP's study on 6G scenarios and requirements was about 60% complete as of March 2026, with prototype device chipsets expected by early 2028 and commercial deployment now targeted for 2029 — earlier than the 2030 date discussed previously. RCR Wireless reports that panelists expect early standalone 6G deployments around 2029, with wider European rollout in the early 2030s, while noting that only about 20% of current 5G networks have completed the standalone upgrade considered a prerequisite. Ericsson's own target is initial 6G deployments around 2030, with first implementable specifications expected by early 2029.

The sources broadly agree on the direction — sensing data and machine-facing AI services as the new layer of 6G revenue — while differing on exact dates and on how much should be settled through 3GPP standardization before commercial services launch.