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- AI Can Solve Customer Support’s Hidden Problem [Newsletter #91]
AI Can Solve Customer Support’s Hidden Problem [Newsletter #91]
Paying The Service Debt With AI
Hello, AI enthusiasts from around the world.
Welcome to this week's newsletter for the AI and the Future of Work podcast.
Customer support isn't pretty. It never has been. It's a world where humans solve the unfulfilled needs of other humans, often under pressure, and rarely with enough time.
For decades, companies have treated customer service as an obligation rather than an opportunity. AI is beginning to change that.
Behind every conversation lies a chance to solve a real problem. The tools to do it faster and more efficiently are already here.
But there's resistance. Some worry about job replacement. Others are skeptical of handing conversations over to chatbots entirely.
This week's conversation is a reminder that no matter how much the process improves, a human is still at the other end. That matters more than ever.
Let's dive into this week's highlights! 🚀
🎙️ New Podcast Episode with Adrian McDermott, Zendesk CTO
Customer support was a place where only the toughest survived.
Companies treated it as a cost center. The priority was managing volume, not delivering exceptional experiences.
On the other side, customers dreaded the experience and hoped to finish the call with at least some kind of solution. In the middle, overworked agents armed with rigid scripts and manuals got through the day, and nothing more.
That's how customer support has operated for decades. But what if AI offers a chance to reimagine it entirely?
For many, that may sound unlikely. Dealing with unsatisfied customers is never simple. But for Adrian McDermott, AI isn't just a possibility. It's the clearest path forward.
Adrian is the Chief Technology Officer at Zendesk, one of the world's most widely used customer service platforms. He leads the company's product management and engineering teams. Since joining Zendesk in 2010, he has played a key role in shaping its product and platform strategy as customer experience continues to evolve in the age of AI.
His starting point is an uncomfortable reality: most customer support issues went unresolved because companies had limited staff and fragmented systems.
AI changes that. Copilots can analyze more data, around the clock, and generate far more context than any single agent working alone.
PeopleReign CEO Dan Turchin sat down with Adrian to explore how AI copilots can fundamentally improve customer service, without depending entirely on chatbots. Because AI makes mistakes. That's precisely why humans remain essential. Support agents must become experts at knowing where guardrails are needed and when to step in.
In this conversation, we discuss:
How customer service evolved from rigid, low-intent operations into a strategic function where technology helps teams deliver better experiences.
Why service leaders shouldn't fear automation. Every organization carries a "service debt," and AI is finally capable of helping pay it down.
Why traditional contact centers will evolve into AI-enabled service platforms, allowing companies to respond faster while improving the experience for both employees and customers.
What Adrian learned scaling Zendesk from a small product team into a global platform serving 100,000 customers, and how product-led growth shaped that journey.
Why the next big leap in AI won't come from superintelligence. It will come from capturing the knowledge buried inside every customer interaction.
🎧 This week's episode of AI and the Future of Work, featuring Adrian McDermott, Zendesk CTO, is now available
Listen to the full episode to hear why great customer support starts with understanding who you are actually serving, from buyers to agents to end users, and why humans remain essential to getting that right.
📖 AI Fun Fact Article
Walmart runs on efficiency. Now, the retail giant is betting that AI will take that further than ever before.
The company has embedded AI across its operations, from demand forecasting to inventory and logistics management. In internal software development alone, AI writes or assists on 40% of all new code. 60% of its stores now receive freight from automated distribution centers. 50% of e-commerce fulfillment volume is automated.
But as AI becomes more central to how Walmart operates, its executives are also acknowledging what that means for the people who work there.
Walmart CEO Doug McMillon has stated that "every job we've got is going to change in some way." Even so, the company expects its global headcount to remain flat at around 2.1 million over the next three years.
That forecast arrives at a significant moment. U.S.-based employers announced 153,074 job cuts last month, a 175% increase from 55,597 the year prior, as Hugh Cameron reports in Newsweek.
PeopleReign CEO Dan Turchin sees Walmart’s behavior as typical of most employers with large volumes of frontline workers. AI is improving efficiency and delaying future hiring growth, but not contributing to job elimination.
Demand increases from AI-related marketing and new product launches, meaning there's actually more work to do, which will eventually outstrip the productivity gains from AI.
The reality of delayed hiring means there are fewer jobs in traditional roles for new employees entering the workforce. That said, there's increasing demand for workers in fields such as AI supervision, AI training, data labeling, healthcare, and construction.
Throughout history, there's always been a need for workers whose skills match the current economy. AI is a particularly disruptive force, but now is no different.
Listener Spotlight
If you leave a comment, it might be featured in an upcoming episode, like this one from Melanie in Hartford, CT.
Melanie’s favorite episode is #67 from back in 2020 with Charlene Li, best-selling author of The Disruption Mindset.
🎧 You can listen to that excellent episode here!
As always, we love hearing from you. Want to be featured in a future episode or newsletter?
Comment and tell us how you listen and which episode has stayed with you the most.
📣 Share your Thoughts and Leave a Review!
We'd love to hear from you. Your feedback helps us improve and ensures we continue bringing valuable insights to our podcast community. 👇
👀 Worth a read
There is a new term gaining traction in AI circles: "claws". A claw is essentially a personal AI agent that can write code, browse the internet, and complete workflows autonomously, running in the background without waiting to be prompted at every step.
The trend started with OpenClaw, formerly known as Clawdbot, a platform created by Austrian software engineer Peter Steinberger. Last month, OpenAI hired Steinberger to lead what CEO Sam Altman described as "the next generation of personal agents."
Now, Nvidia wants in.

Source: Forbes
According to reporting by Wired, based on people familiar with the company's plans, Nvidia has been approaching major enterprise software companies to discuss its own claw platform, currently named NemoClaw. Companies mentioned include Google, Adobe, Salesforce, Cisco, and CrowdStrike, though none have confirmed a partnership.
NemoClaw is reportedly open-source and expected to run on Nvidia's Nemotron family of models. The platform could be announced as soon as Nvidia's GTC developer conference next week.
But these systems come with a real tradeoff. Claws require deep access to user accounts and personal data, which makes security a serious concern. You can read more about what this means for enterprises, and how Nvidia is building out its partner network, here.
Until next time, stay curious! 🤔
We want to keep you informed about the latest developments in AI. Here are a few stories from around the world worth reading:
A poll reveals that risks of AI far outweigh the benefits, but in what specific aspects? Here’s what nearly 60% of surveyors believe is the biggest challenge.
Here’s what one person learned after training thousands of people on AI.
One exec explains how the math shows AI won’t take your job away under certain conditions. Here’s more.
That's a Wrap for This Week!
Humans in customer support are not going away. No process is perfect, and humans will always be needed to resolve what technology cannot.
The problem is that, for decades, customer support was treated as an afterthought. AI is changing that by revealing something that was always there: every interaction generates knowledge.
That knowledge has enormous untapped potential. Not just to fix the customer support we have today, but to help companies solve bigger, more complex issues in the future.
We hope this week's conversation inspires you to explore how AI can help you better understand the people you serve, and improve every interaction along the way.
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