From a controversial statement by Verizon’s CEO about AI agents displacing humans to a number of significant NiCE releases, here are extracts from this week’s most popular news stories.
Verizon CEO: AI Agents Could Displace ‘A Large Percentage’ of Customer Service Jobs
Executives, CX leaders and analysts are increasingly framing AI agents as tools that can augment human representatives rather than eliminate them entirely, pointing to the continued importance of empathy, judgment and relationship management in customer interactions.
But comments from Verizon CEO Dan Schulman in an interview with Bloomberg TV indicate that some of the industry’s biggest companies still expect significant workforce disruption ahead.
“For sure you’re going to see disruption with AI in certain job functions. I don’t see how that’s not possible. I don’t see how anybody can look people in the eye and say that’s not possible.”
Pressed on how much customer service work could ultimately be displaced, he added: “It can be a large percentage of customer service.”
Verizon Tests AI Agents That Are ‘Replacing’ Customer Service Reps
Verizon has been testing AI agents in its customer service operations and is already seeing an increase in customer satisfaction, Schulman said (Read more…).
NiCE Declares the Era of Bolted-On AI Is Over
NiCE has used its annual NiCE World conference in Orlando to announce three AI initiatives:
- AI-native CX platform with agentic AI at its core
- Workforce Empowerment Suite for governing a hybrid workforce of humans and AI agents
- NiCE Labs, a dedicated innovation hub for research, benchmarking, and rapid prototyping
The underlying thread that appears to be running through the three announcements is that agentic AI should be the architecture on which the enterprise customer experience is built, not a capability bolted on afterward.
In discussing the news, Jeff Comstock, President of CX Product & Technology at NiCE, claimed that “running AI at the scale, security, and compliance that enterprise customer operations demand takes more than a demo.
“It takes deep, real-world experience with mission-critical CX data, workflows, and governance, and it takes AI built into the architecture rather than added on top.”
“That is exactly what we have built: a platform where agentic AI is native at the core, with AI as the architecture, governed and measurable at enterprise scale.”
Anthropic Releases Mythos-Class Claude Fable 5 as Enterprises Struggle to Govern AI Security Risk
Anthropic has released Claude Fable 5, a new Mythos-class model that it says is safe for general use, but the launch underlines a growing concern among enterprises that AI capabilities are advancing faster than many enterprises’ ability to govern them.
The AI model developer described Fable 5 as its most capable generally available model to date, outperforming previous Claude models across software engineering, knowledge work, vision, scientific research and other advanced tasks.
However, with the company having previously said it would release Mythos-class models “gradually” to manage risk, the launch comes with an unusually direct warning about the security threats attached:
“Releasing a model this capable comes with risks. Without safeguards, Fable 5’s capabilities in areas like cybersecurity could be misused to cause serious damage.”
Anthropic said it has “therefore launched the model with safeguards that mean queries on some topics will instead receive a response from our next-most-capable model, Claude Opus 4.8. To release the model both safely and quickly, we’ve tuned these safeguards conservatively—they’ll sometimes catch harmless requests, though they trigger, on average, in less than 5% of sessions.”
Sprinklr Launches LLM Insights to Track and Fix How Brands Appear in AI Search
Sprinklr has launched LLM Insights, a new capability within its Sprinklr Insights product designed to help brands monitor and manage how they are represented across AI-generated search results.
The issue that Sprinklr is aiming to solve is companies having almost no visibility into what large language models are telling customers about them.
Indeed, generative AI platforms are increasingly the first port of call for customers researching products and services.
Rather than clicking through search results, users are getting synthesized answers – and those answers may be incomplete, outdated, or just plain wrong.
For customer experience teams, that creates a scenario where brand perception is being shaped by a channel they can’t monitor or correct.
In discussing the news, Sprinklr’s Chief Product and Corporate Strategy Officer, Karthik Suri, said:
“Customers increasingly move from a single prompt to a synthesized recommendation often without visiting brand websites or owned channels. Representation in these platforms is a critical driver of awareness and consideration.”
