- AI may grab headlines but the real shift in broadband is happening behind the scenes in how operators run their networks and businesses
- Fewer truck rolls, faster support and smarter marketing is one of the near-term goals for telco AI according to the vendor
- The Calix One Platform aims to be an end-to-end alternative to piecemeal AI deployments
AI may be the headline these days but the real shift in broadband is happening behind the scenes in how operators actually run their networks and businesses. That operational shift is exactly where Calix thinks it can help, Teresa McGaughey, Calix's VP of global field and partner marketing, told Fierce.
The Calix One Platform is the company’s push into an AI-native broadband platform, McGaughey said at Fiber Connect 2026 in Orlando. The goal is less about new services and more about pulling together operations, marketing and customer support into a single solution that can make use of the data operators already have.
“We have built an end-to-end AI-native broadband platform,” McGaughey said, pointing to capabilities that span network operations, subscriber engagement and service workflows.
Operators are drowning in data but still making uninformed decisions, including pushing out mass marketing campaigns, reactive truck rolls and siloed customer support. AI is about tightening that loop, she said.
Instead of spending heavily on sweeping marketing efforts, AI can help service providers identify and target specific subscribers. “Why would you spend $150,000 a month on marketing…when you can go and find the specific targets?” McGaughey asked.
That same logic applies to operations like the infamous truck roll. She gave one example of a service provider dispatching four trucks to the same location because four separate customer service reps independently diagnosed the same issue.
“That’s an expensive truck roll,” she said.
AI-driven operations aim to prevent those by correlating network data, identifying root causes and predicting capacity constraints before they become outages.
It’s not a new ambition for operators, but AI is finally making it practical, McGaughey noted. “The operations cloud…look[s] over the entire network, find[s] problems…[and] gives you insight to figure out what you might need to do."
Three paths for operators. Which will they choose?
Operators have three paths, she said: build AI internally, piece together multiple tools or rely on a platform approach. Calix is, of course, pushing the latter, arguing that scale matters more than customization.
Even large providers won’t be able to replicate the mass of data and workflows needed to train and maintain AI models, she said. “They’re never going to have…all of the scenarios.”
The control vs. scale debate is likely to define how AI reshapes the broadband market, she said.
As AI becomes embedded across operations, it may force operators to rethink whether they can act like software companies — a shift the industry has been waiting for for a long, long time.