Fiber for Breakfast Week 33: The Predictability Imperative: How AI is Helping Fiber Providers Compete in an Uncertain Market 

Fiber for Breakfast Week 33: The Predictability Imperative: How AI is Helping Fiber Providers Compete in an Uncertain Market 

The broadband industry has spent years talking about transformation. First, it was the shift from legacy networks to fiber. Then came the move from hardware-centric operations to software and cloud platforms. Now, AI is pushing the next change, and this week’s Fiber for Breakfast made clear that the opportunity is not just automation. It is predictability.  

Gary sat down with Michael Weening, CEO of Calix, to discuss how AI is changing the operating model for fiber providers and what it means for providers trying to compete in an uncertain market. The conversation was not about AI as a buzzword or a science experiment. It was about how providers can use AI safely, securely, and practically to improve the way they service customers, grow revenue, and manage the business.  

Weening framed the moment through Calix’s own transformation. The company moved from an access hardware company to a cloud and software platform provider, and now into what he described as the next stage: intelligence. That shift required major investment and a willingness to go all in. As Weening put it, “There can’t be half measures because the implications are so shocking, how fast the world is changing.” 

That point matters to fiber providers. AI is moving quickly, but speed alone is not enough. The real value comes when providers can apply AI to the workflows they already run every day: customer support, field service, churn prevention, upsell opportunities, network health, marketing, and subscriber experience. These are not abstract use cases. They are the daily operating realities that determine whether a provider can grow efficiently and compete effectively.  

One of the strongest examples Weening shared was identifying customers who may benefit from outdoor Wi-Fi. By combining behavioral data with third-party information, a provider could identify a household that likely has a pool, does not have outdoor Wi-Fi, and may be a strong candidate for a better managed Wi-Fi experience. The goal is not just to sell another service. It is to solve a real customer problem before the customer becomes frustrated.  

That is where AI starts to change the business model. It can help providers move from reactive service to proactive engagement. It can identify customers at risk of churn, surface the next best action, and free employees to focus on higher-value work. For smaller and rural providers, that matters because AI can help scale expertise they may not have the staff or resources to build internally.  

But the conversation also included important caution. AI can create risk if it is not managed correctly. Weening emphasized three requirements: trusted, secure, and predictable. Trusted means the AI has enough context to avoid bad answers. Secure means customer data remains protected. Predictable means providers can understand and manage costs instead of being surprised by transaction-based or token-based bills.  

The last part is important. Providers cannot build a business around tools that create unpredictable costs. Weening said Calix deliberately moved slowly before releasing AI capabilities because the platform had to be ready. “We can’t put it out until we know trusted, secure, and predictable from a cost point of view,” he said.  

Gary connected that to the broader challenge facing the industry. Providers are being asked to participate in an AI-driven economy shaped by hyperscalers, large platforms, and fast-moving technology companies. But the opportunity for fiber providers is not to copy those companies. It is to use AI in ways that make their own businesses stronger: better customer experience, smarter operations, more efficient growth, and more capacity for employees to focus on the work that matters.  

The broader takeaway is that AI’s value for fiber providers will not come from chasing every possible use case. It will come from applying intelligence to the right workflows in a way that is secure, manageable, and tied to real outcomes.  

In an uncertain market, predictability becomes a competitive advantage. Providers that can use AI to operate with more confidence, consistency, and speed will be better positioned to win across residential, business, MDU, and community markets.  

Click here to watch the full interview.