Techaisle Analyst Insights

Hardware spend rises as companies scale, which runs against the assumption that software absorbs everything. Techaisle's study of 3,980 organizations shows where the laptop-and-dongle room breaks, what replaces it, and why the equipment is no longer there to show a meeting but to record one.

Almost every company starts the same way. A screen, a dongle, and whoever's laptop is in the room. It costs nothing, and it works well enough, which is why nobody ever decided to do it. Then, somewhere between the fifth room and the fiftieth, companies stop, and in Techaisle's survey of 3,980 organizations, the switch shows up in spending. USB add-ons for the laptop-and-dongle room fall to 18% at the top of the midmarket, the lowest priority on the whole list, while AI cameras, ceiling microphones, and sensors climb fast. The question worth answering is what they buy instead, and what forced the switch.

What the midmarket is actually buying

All-in-one video bars lead at every size, from 42% in the smallest firms to 56% in the largest, because they work the moment you switch them on. That part is expected. The next tier of spending is less so. AI cameras that follow the speaker rise from 21% to 43%. Ceiling microphone arrays climb from 12% to 37%. Sensors that count people and track how a room is used go from 8% to 31%.

Attrition, not missing features, is the contact center's real problem. Techaisle's study of 3,980 organizations shows the fix is a governed AI workforce. The surprise: the most tightly controlled companies give their AI agents the most freedom.

Ask a contact center manager what their hardest operational problem is, and the answer is rarely a software gap. It is that agents keep quitting. In Techaisle's data, attrition is the single biggest challenge contact centers report. The cost of running the operation, the thing most vendors pitch against, actually fades as a worry as companies grow, from 47% of firms citing it down to 16%. The contact center looks like a technology problem. It is a staffing problem wearing a technology budget.

The workforce is getting harder to manage

The contact center is the fastest-growing part of the communications market. Agents rise from 4% of the workforce in the smallest firms to 14% in the largest; about 70% of midmarket companies run more than 100 agents, and the real budgets appear in the 100-to-999-employee range.

The work is not going away. Inbound phone calls stay near-universal, at 90% to 95%, so the call is still the core of the job. What changes is where the people sit. More agents work from the office again, up from 43% to 58%, and more work is handed to outside firms, with outsourcing rising from 12% to 33% and offshore staffing from 8% to 30%. A midmarket contact center is now running a workforce that is bigger, more scattered, more outsourced, and still walking out the door. A longer feature list fixes none of that.

The fixes that help, and the one that matters

Meetings are the flagship surface and the first line item cut when cash tightens. Techaisle's study of 3,980 SMB and midmarket organizations identifies the real moat in something less glamorous: the phone number, the call history, and the ability to find what was decided.

A standalone meetings subscription is the easiest thing in the software stack to cancel. It is duplicated free inside the productivity bundles most firms already pay for, it carries an obvious monthly price, and nothing breaks when it disappears. In Techaisle's survey of 3,980 small business and midmarket organizations, that fragility is not a small-business quirk. It is the structural weakness sitting at the center of the collaboration category, and most meetings-first roadmaps are aimed in the wrong direction because of it.

Start with what no longer wins. File sharing, messaging, and productivity-suite integration still dominate the list of capabilities buyers rate critical, at 46% to 56%. That is precisely why they no longer close deals. A capability that every competitor ships and every bundle includes is table stakes, not differentiation. The base of the collaboration stack has commoditized, and buyers now assume it the way they assume dial tone.

The instinct, when the base commoditizes, is to pile more features into the flagship. Another AI summary, another whiteboard, another in-meeting widget. The data says that instinct is a treadmill. Voice, video, and chat are universal across every company size. Adding a fourth in-meeting feature to a market that already has three of everything does not move a buyer, because the buyer's pain is no longer inside the meeting. It sits on either side of it.

The two unmet needs: find what was said, and meet less

Two problems rise as firms scale, and neither is solved by a better meeting.

Cisco Owns the Control Plane of the Agentic Era. Nobody knows it yet.

The market is currently operating under the assumption that the architectural gravity of AI belongs entirely to the orchestration layer of the hyperscalers or the workflow engines of SaaS giants. But those software surfaces only control logic within their own proprietary walls or virtual boundaries. When an autonomous agent goes rogue, encounters a looping cost explosion, or faces a machine-speed exploit, that liability manifests in the physical world as a network routing challenge, a telemetry event, and a data-fabric security crisis.

By building the infrastructure that unifies visibility and enforcement from the silicon to agent-action trust, Cisco has quietly captured the layer that governs how autonomous workloads actually execute.

Cisco did not join the AI conversation. It redefined it.

For 2 years, enterprises have funded the AI buildout as a capacity race, measured in GPUs, power, and capex, on the assumption that compute is the scarce input. It is not. Compute that cannot be connected, secured, and operated at scale is stranded capital, and most AI infrastructure budgets have underfunded the layer that decides whether the GPU spend ever produces a business outcome. Cisco used Cisco Live 2026 to name that gap and claim it. Capacity commoditizes. Control compounds. The contest that decides the next decade of enterprise infrastructure is the contest for the control plane of agentic AI, from programmable silicon to agent-action trust, and Cisco is the only company holding the full stack.

That reorders the buying decision. If control, rather than capacity, is where durable value accrues, the criteria most businesses use to select AI infrastructure are wrong-footed, because the vendor best positioned is not the one selling the most compute but the one that governs how compute is connected and trusted. Cisco just claimed that position, and every announcement at the event is a move to occupy it.

The swarm breaks the assumptions networks were built on