AI moves from test beds into live networks
What’s coming to fiber and telecom, one span at a time.
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Lead story
Deutsche Telekom puts numbers on AI in network operations
At its first AI Investor Day (Oct 5), Deutsche Telekom said AI and automation should bring about EUR 2.5 billion in gross savings by 2030. It also said its “RAN Guardian Agent” cut response time to network strain events from several hours to about one minute.
Quick hits
T-Mobile uses AI to decide where to build and to ride out storms
T-Mobile’s CTO described AI that ranks where the next site build or upgrade matters most. He also described a self-organizing network that made more than 30,000 automatic adjustments during winter storm Fern.
Telekom Malaysia: AI agents run 65% of order-to-service, but not the install
TM says AI agents handle about 65% of its order-to-service processes, while work like sending a technician to install a fixed line “cannot be automated.” Its own network engineers built the agents, and no network staff were cut.
Openreach trial asks customers to “walk the route” before the crew arrives
In a proof of concept planned for around November, selected UK business customers would capture photos and video of the cable route and entry point, with some AI guidance, to cut repeat visits.
Nokia and MEO take AI into live network operations in Portugal
The two launched a joint program (announced Oct 14) testing AI for network management, monitoring and optimization in live conditions rather than in isolated test environments.
Robots walking data center rows to check fiber work
An inspection robot vendor reports autonomous rounds at a Houston data center since July, checking ports against the cable plan with a photo of each. It also notes that robots that plug, clean or reseat fiber are still in research and pilots. (This is the vendor’s own claim, from its blog updated Oct 14.)
Field angle
The pattern across these stories: planning, monitoring and routing decisions are getting automated fast, but the hands-on build still needs a crew. Carriers are pointing AI at where to build and how to react. The robots that exist today mostly inspect rather than build. For now, the people who plan, place and splice fiber stay at the center of the work, and the tools around them are what’s changing.
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The Next Span is written by the team at SpliceFlow. spliceflow.app
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