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The three technology developments with the clearest potential to change architecture, engineering and construction (AEC) work are 5G connectivity, cheaper multifunctional sensors, and subscription-based digital services such as analytics, artificial intelligence and cybersecurity. That was the central outlook in David Barista’s Building Design + Construction article published February 13, 2019. Its “watch in 2019” predictions are historical, so they should not be read as a current deployment forecast. The useful question in 2026 is where these technologies now fit—and what an AEC firm must verify before spending money or putting project data at risk.
What are the three developments, and why do they matter?
The original outlook identified three related shifts:
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- 5G mobile connectivity: faster, more responsive links that could support connected equipment, smart buildings, edge computing, augmented and virtual reality, and machine-to-machine communication.
- Cheaper, smarter multifunctional sensors: wireless devices capable of measuring several conditions—such as occupancy, carbon dioxide, light and temperature—and sending those readings to building or project systems.
- “Anything as a service”: subscription access to analytics, artificial intelligence and cybersecurity tools and expertise instead of building every capability in-house.
These are enabling technologies rather than automatic business improvements. A 5G signal does not by itself solve an indoor coverage problem; a sensor does not create useful information unless its readings are accurate and connected to a workflow; and a subscription is not economical if an AEC firm cannot export its data or demonstrate value. Treat the 2019 article as a map of possibilities, then evaluate each use case against the actual site, software stack, contracts and operating model.
How has 5G’s outlook changed since the 2019 forecast?
5G is the fifth generation of cellular mobile communications. The 2019 article connected it to real-time AEC applications, but its carrier-launch expectations and one-millisecond latency target were forecasts, not guaranteed outcomes. Current coverage statistics show substantial progress while also illustrating why a national number cannot substitute for a project-specific assessment.
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The OECD reports average 5G population coverage of 90% in the fourth quarter of 2025 across OECD countries where 5G had been deployed. That figure describes population coverage, not every construction site, building interior or private network. In the same report, the OECD counted 73 operators in 39 countries with commercial standalone 5G launches as of April 2025. Standalone availability is therefore a different, narrower measure than general 5G coverage.
The International Telecommunication Union distinguishes standalone 5G from non-standalone 5G. Standalone uses a new radio access network and 5G core; non-standalone relies on an underlying 4G network. That architectural difference can affect latency, features, network slicing and how a private or industrial deployment is designed. It does not guarantee a particular end-to-end response time for a BIM viewer, robot, wearable or building-control application.
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5G is most promising where a project needs many connected devices, mobility or rapid data exchange and where wired infrastructure is impractical. The ITU lists smart homes and buildings, cloud work, augmented and virtual reality, and machine-to-machine communications among 5G application areas. For AEC, those categories can translate into several practical workflows.
- Connected jobsites: cameras, environmental monitors, equipment telematics and worker-worn devices can send data without each device needing a separate wired connection.
- Remote collaboration: a field team could share large models, spatial captures or live video with designers and specialists away from the site, subject to bandwidth and security controls.
- Immersive coordination: AR or VR guidance may benefit from responsive links when overlays depend on cloud processing. The application still needs a reliable local fallback if coverage drops.
- Smart-building commissioning and operations: connected systems can carry occupancy, equipment and environmental data into analytics or control platforms.
- Machine communication: vehicles, lifting equipment and other machines may exchange status or location information, provided the safety case does not depend on an unproven wireless link.
Before specifying 5G, define the required data rate, response time, uptime, device density and operating area. Check indoor attenuation, basement and plant-room coverage, handoff behavior, SIM or eSIM management, private-network options, data residency and the consequences of an outage. A general coverage map cannot answer those questions.
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What should an AEC firm verify before deploying 5G?
- Map the application: document what data moves, how often, between which endpoints and what happens when the link fails. Separate convenience features from safety-critical controls.
- Measure the site conditions through the provider or integrator: request indoor predictions, spectrum information, expected uplink performance and service-level terms for the exact address and construction phases.
- Clarify the architecture: ask whether the service is standalone or non-standalone, public or private, and where traffic is processed. Edge processing may reduce round trips, but it adds equipment and administration.
- Secure the device estate: inventory every modem, sensor and gateway; require unique credentials, updates, segmentation and a process for revoking lost devices.
- Plan coexistence and fallback: retain Wi-Fi, wired links or local control where a failure would stop work or create a hazard. Include temporary-site changes in the design.
- Model total cost: include radios, antennas, gateways, subscriptions, installation, spectrum or private-network charges, support and decommissioning—not only the monthly data plan.
The 2019 article’s statement that latency might fall from 100 milliseconds on 4G to one millisecond on 5G should remain attributed to that period’s expectation. It is not a universal real-world result. Actual latency depends on the radio and core configuration, coverage, congestion, application path and where the measurement is taken.
How can multifunctional sensors improve buildings and jobsites?
The second development is the combination of wireless sensors with more capable analytics. Barista’s 2019 article described sensors that could collect several types of information—including CO₂, light and temperature—while also supporting occupancy sensing and building operations. It characterized newer devices as potentially cheaper, longer lasting, more accurate, more robust and faster than earlier generations; those are claims from the original outlook, not a current product comparison or independent test.
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For an AEC team, the value comes from turning measurements into a decision:
- Occupancy: inform ventilation, lighting, space planning, cleaning schedules or progress coordination. Occupancy data can be approximate and should not be treated as an individual-tracking system without a clear legal and ethical basis.
- CO₂: provide an indicator for ventilation performance and indoor-air investigations. Sensor placement, calibration and background conditions determine whether readings are useful.
- Temperature and light: support commissioning, comfort analysis, daylight studies or fault detection when readings are time-stamped and located correctly.
- Construction conditions: monitor areas where temperature, humidity or access conditions affect materials and work sequencing, subject to the measurement range and installation environment.
Multifunctionality can reduce the number of devices and installation points, but it can also create compromises. A single unit may not have the best accuracy, calibration interval, enclosure rating or placement for every measurement. Wireless battery life depends on reporting frequency, signal strength, temperature and network design. Select the measurement first, then the device.
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What is the sensor-selection process?
- Write the decision requirement: state what action a reading will trigger, the acceptable error, the sampling interval and the required retention period.
- Check the environment: identify dust, moisture, vibration, electromagnetic interference, temperature extremes, access restrictions and likely damage or theft.
- Confirm interoperability: verify protocols, gateways, APIs, time synchronization, naming conventions and whether data can flow into the building-management, common-data or facilities platform already specified.
- Review power and maintenance: estimate battery replacement, calibration, inspection and access costs over the project and operating life.
- Address privacy and governance: decide whether readings can identify people indirectly, who may view them, how long they are retained and how they are deleted or exported.
- Specify acceptance evidence: require calibration certificates, accuracy ranges, environmental ratings and documented integration behavior. Do not substitute a marketing claim for evidence.
A pilot can be appropriate when the cost of a wrong decision is material, but define success before purchase. For example, an occupancy workflow might require a stated detection accuracy, maximum data delay, battery interval and export format. The original source names no sensor model or vendor, so it does not support a “best sensor” recommendation.
What does “anything as a service” mean for AEC?
“Anything as a service” extends the familiar software-as-a-service model. Instead of buying and maintaining every tool and specialist capability, an AEC firm subscribes to functions such as analytics, artificial intelligence or cybersecurity, often with vendor-provided expertise. The 2019 outlook argued that this could make advanced methods easier to try without a large upfront investment; it did not quantify savings, return on investment or risk reduction.
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How should an AEC firm evaluate a subscription service?
| Evaluation area | Questions to answer |
|---|---|
| Capability and fit | Does the service solve a defined workflow problem, support the file formats and data standards in use, and produce outputs a project team can act on? |
| Integration | Are APIs, identity management, audit logs and export tools available? Can the service coexist with the firm’s common-data environment and contract-required systems? |
| Security and governance | Where is data stored and processed? What encryption, access controls, incident notifications, subcontractor disclosures and deletion commitments apply? |
| Commercial terms | Is pricing based on users, projects, data volume or usage? What happens to data, models and configurations at renewal, cancellation or provider failure? |
| Support and accountability | Who configures the service, explains an unexpected result and responds during a project deadline? Are service levels and support hours written into the contract? |
| Evidence of value | Which baseline metric will change—rework, response time, energy use, inspection effort or security response—and over what period will the firm review it? |
Start with a bounded workflow rather than an enterprise-wide commitment. For example, an analytics service might first cover one building system or one project phase, with a named data owner and a documented exit test. Keep contractual responsibility clear: outsourcing analysis does not automatically transfer professional duty, confidentiality obligations or regulatory accountability.
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What can go wrong with these technologies?
- Coverage is mistaken for suitability: national 5G statistics do not prove reliable service inside a reinforced-concrete building or on a changing jobsite.
- Latency targets are treated as guarantees: theoretical radio figures are confused with end-to-end application performance.
- Sensor data is accepted without context: poor placement, calibration drift or missing timestamps can make a precise-looking dashboard misleading.
- More data is assumed to mean better decisions: an AEC team can become overloaded with alerts that have no owner or response procedure.
- Subscriptions create lock-in: proprietary formats, unclear export rights and automatic renewal can make migration expensive.
- Privacy and cybersecurity are added too late: occupancy, location and building-system data can be sensitive even when no names are collected.
Recovery starts with a documented fallback: local controls for building systems, manual inspection routes for sensors, offline copies of project data and a procedure for suspending a service or revoking device access. Procurement, IT, facilities, safety and project leadership should agree on that plan before deployment.
Which development should an AEC firm prioritize?
Prioritize the smallest intervention that addresses a measured constraint. Choose 5G when mobility, device density or site connectivity is the bottleneck and the provider can demonstrate site-level performance. Choose multifunctional sensors when a specific operational decision depends on timely physical measurements and the team can maintain the devices. Choose an as-a-service offering when the capability is needed but specialist ownership, integration and exit rights can be made explicit.
The three developments also reinforce one another. A wireless sensor network may use cellular connectivity; analytics may turn its readings into maintenance or commissioning actions; and a subscription provider may supply the platform and expertise. That combination increases the need for clear architecture, data ownership, cybersecurity controls and responsibilities across the project lifecycle.
The strongest lesson from the 2019 outlook is not that every AEC firm should adopt all three technologies. It is that connectivity, sensing and digital expertise are becoming composable choices. Evaluate them against a defined project outcome, verify the technical claims at the site and preserve a practical way to operate when the network, device or service is unavailable.
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Frequently Asked Questions
Is 5G required for a smart building project?
No. Wired Ethernet, Wi-Fi, low-power wide-area networks or existing 4G can be better fits depending on device density, power, coverage and control requirements. The correct choice follows the application and building constraints, not the generation label alone.
Can occupancy sensors identify individual workers?
Some systems can produce information that becomes identifying when combined with badges, cameras or location records, while others provide only anonymous counts. Define the purpose, minimize the data collected and document retention and access rules before installation.
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The outcome depends on the contract and the provider’s export capabilities. Before signing, confirm the format and timing for returning raw data, derived models, configurations, audit logs and documentation, and assign someone to execute an exit plan.
Are standalone and non-standalone 5G interchangeable for projects?
They are different network architectures. Non-standalone 5G relies on a 4G core, while standalone 5G uses a 5G core and can support different capabilities; the relevant option depends on the provider, application and required controls.

