June 16, 2026: Verizon Replaced 13,000 People Before the AI Arrived. Adecco Just Hit a Million Interactions.

AI agents are no longer being piloted in customer service and recruiting. They are running production workflows at scale, and the workforce math is becoming impossible to ignore.

Verizon's CEO Dan Schulman confirmed at the Bloomberg Tech conference that AI will handle "a large percentage" of the company's customer service work in 2026. That statement landed after the company had already cut 13,000 employees, dropping its headcount from roughly 100,000 to 87,000 in late 2025. Schulman framed it plainly: Verizon is "aggressively reducing our cost base." The company's EBITDA hit $48.8 billion in 2024, up from $47.2 billion in 2019, but subscriber growth has stalled. AI is protecting the margin.

Verizon's AI Handles Routine Work. Humans Handle What's Actually Hard.

According to the Memeburn report on Schulman's Bloomberg Tech remarks, Verizon's AI satisfaction rates in trials ran 12.8% higher than human agents (a self-reported figure from the company's own trials, not independently verified). The AI handles routine tasks: password resets, billing questions, plan explanations. Humans retain escalations, retention conversations, and billing disputes. Forrester projects roughly 50% fewer customer service jobs by 2030, though that is a directional forecast, not a hard number.

What is notably absent from Verizon's announcement: any retraining program for the 13,000 workers who were cut before the AI rollout began. Between 2018 and 2024, Verizon had already reduced headcount by 44,900, a 31% cut over six years. The 2025 round accelerated a longer pattern that was underway well before the current AI push.

If you lead a customer operations team, the structural design question is the one Verizon has implicitly answered but not publicly addressed: what are the remaining human roles actually for, and are you investing in making them better or simply letting attrition shrink them further?

Adecco's Recruiting AI Just Crossed a Million Interactions

On the talent acquisition side, Adecco, the world's largest workforce solutions provider, announced on June 16 that it has surpassed 1.2 million AI-powered candidate interactions, including 250,000 fully completed interviews across 50,000 jobs. The company reports this equates to more than 12 years of continuous conversation time. Per Adecco's own data, lead markets are seeing a 50% reduction in time-to-deliver and fill rates above 80%, with customer satisfaction scores of 4.3 out of 5. These figures are self-reported and have not been independently verified.

Adecco has deployed AI agents across seven stages of the recruitment lifecycle: pre-screening, talent pool management, recruiter support, customer service, onboarding, and voice capability. One notable piece is a Redeployment Agent that proactively reconnects with candidates when assignments end, captures feedback, and builds a profile of future opportunities rather than leaving people to start the search from scratch.

The access angle here is worth paying attention to. 51% of Adecco's candidate interactions happen outside traditional working hours, according to the company. For candidates who can't take calls at 2pm on a Tuesday, that matters. It is also a practical illustration of what high-volume AI deployment enables that human recruiters genuinely cannot match at scale.

The honest read on Adecco's numbers is that the gains are real at the tasks AI was designed for: volume processing, scheduling consistency, 24/7 availability. What the numbers cannot tell you is whether the quality of relationship and guidance at the moments that matter most, the candidate who needs a real conversation about their career direction, has improved or degraded as human recruiter time has shifted.

The Implementation Layer Is Building Fast

The TELUS Digital and Cresta partnership, announced June 15, reflects where the contact center market is heading at the services layer. Cresta builds unified AI for both human and AI agents; TELUS Digital brings contact center implementation and operational expertise. Together, they are positioning to accelerate enterprise deployments of AI agents in contact centers.

There is no named customer or stated outcome attached to this announcement yet. It is worth tracking as a market signal rather than a deployment result. What it confirms is that the demand for contact center AI is large enough that dedicated implementation partnerships are now forming specifically around it.

The Gap That Organizations Are Not Closing

Across both customer service and recruiting, the pattern is consistent. AI is handling the volume. The harder question is what organizations are doing with the human capacity that frees up, or whether they are simply cutting it.

Verizon's story is a cost protection play, clearly stated. Adecco's story is more nuanced because the AI is augmenting customer support rather than replacing it outright, though the tools are also automating tasks that the support team previously spent most of their time on, while providing customers with more 24/7 availability and an improved satisfaction score with non-human interactions. The organizations that will be ahead in two years are not the ones that deployed the most agents. They are the ones that deliberately redesigned the human roles that remained and invested in the skills those roles actually require now.

Worth Acting On

Audit your AI-to-human handoff logic. If your contact center or recruiting AI was configured at deployment and hasn't been reviewed since, the boundary between what it handles and what it escalates has likely drifted. Most organizations find the escalation threshold is either too high or too low for what customers or candidates actually need.

Qualify vendor outcome numbers before they reach your leadership. Adecco's 50% time-to-deliver improvement and Verizon's 12.8% satisfaction lift are both self-reported figures from companies with a stake in the results. Before those numbers land in a board deck or budget approval, validate whether your own deployment data supports anything close to them.

Redesign the roles that remain, not just the workflows. If AI handles volume and humans handle complexity, that changes what you hire for, how you train, and what good performance looks like. Organizations that don't redesign those roles explicitly are setting their people up to fail at work they were never prepared for.

The harder question: When your organization reduced headcount ahead of an AI deployment, did it invest anything in the people who left, or did it treat workforce reduction as the budget that funds the technology?

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Sources

• Verizon AI Customer Service 2026, View Article

• TELUS Digital and Cresta Partnership, View Article

• Adecco Surpasses 1 Million AI Candidate Interactions, View Article