Call Centers, Costs, Controversy
· The Fluency Briefing
The Fluency Briefing
Your Guide to What's Happening in AI and Why It Matters to You
Sunday, May 17, 2026
Everyone keeps saying AI will kill call center jobs. Meanwhile, the Philippines just doubled its call center workforce to 2 million people. That's the kind of contradiction that tells you more about AI's real-world impact than any product launch - and this Sunday, we've got a full slate of stories where the gap between AI hype and AI reality is wide enough to drive a McDonald's drive-thru chatbot through.
Today in AI:
- AI Was Supposed to Kill Call Centers. It Made Them Bigger. - Despite Salesforce cutting 4,000 customer service roles, offshore call center employment in the Philippines nearly doubled to 2 million over the past decade. Economists call it Jevons paradox: making something cheaper means companies buy more of it, not less. Fortune
- ArXiv Drops the Hammer on AI Slop - The preprint research repository will ban authors for a full year if their papers contain obvious signs of unchecked AI generation, like hallucinated references or leftover chatbot prompts. It's not banning AI use - just demanding humans actually read what they submit. TechCrunch
- Running AI on Your MacBook Costs More Than You Think - A detailed cost breakdown shows running local LLMs on an M5 MacBook Pro works out to roughly $1.50 per million tokens. OpenRouter delivers comparable models at a third of the price and double the speed. Translation: the cloud is still winning on economics. William Angel
- Wisconsin's Favorite Comedian vs. Big AI Infrastructure - Charlie Berens, known for his Manitowoc Minute skits, is leading pushback against a $8 billion Vantage Data Centers project in Port Washington. Residents worry about water, energy strain, and tax incentives on a 1,900-acre campus serving a town of 13,000. The Guardian
- Your Drive-Thru Order Is Now an AI Conversation - McDonald's pioneered AI chatbot ordering at drive-thrus back in 2021. Now Wendy's and others are scaling similar tech across hundreds of locations. The bots are getting better, but "sorry, did you say large fries or large lies?" remains an open question. The Verge
- Pope Leo XIV Calls AI Weapons a 'Spiral of Annihilation' - In a speech at Rome's La Sapienza University, the pope denounced rising military AI spending, calling for better monitoring of how AI is developed and deployed in conflicts from Ukraine to Gaza. It's the Vatican's strongest AI statement yet. Fast Company
- Soderbergh's AI-Filled Lennon Doc Lands With a Thud - Steven Soderbergh's new Cannes documentary about John Lennon's final interview leans heavily on AI-generated visuals. Critics are calling the results "uninteresting and pointless," proving that having the tool and knowing when to use it are very different skills. The Guardian
- Don't Let AI Do Your Thinking For You - Engineer Addy Osmani published a sharp essay on how developers are silently trading long-term skill for short-term speed. An Anthropic study found engineers who copy-pasted AI code scored under 40% on comprehension tests, while those who asked conceptual questions scored above 65%. Addy Osmani
Today's Takeaway:
Here's the thing about AI supposedly replacing workers: the data keeps telling a different story than the headlines. Fortune reports that call center employment in the Philippines has nearly doubled since 2016, even as companies like Salesforce publicly trumpet AI-driven headcount cuts. Apollo chief economist Torsten Slok points to Jevons paradox - the 19th-century observation that making something more efficient doesn't reduce demand; it supercharges it. Think of it like highways: build more lanes, get more traffic. AI makes customer service interactions cheaper, so companies spin up more of them. Domestic workers may still be squeezed, but the offshore machine is humming louder than ever.
This pattern maps neatly onto two other stories this Sunday. The backlash against a massive data center in Wisconsin, covered by The Guardian, shows the physical costs of AI expansion landing on small communities - more demand, not less. And Addy Osmani's essay on outsourcing your learning highlights the human side: AI makes individual tasks faster, but the aggregate effect can hollow out capability if you're not deliberate. The throughline? AI amplifies whatever you feed it - demand, infrastructure pressure, or intellectual laziness. The technology isn't the variable. You are.
💡 Fluency Moment - Building your AI fluency, one term at a time.
"Guardrails"
In plain English: Rules built into AI systems that block harmful, false, or inappropriate outputs before they reach users. Think of it like: Like a highway guardrail, it doesn't steer the car - it just stops it from going somewhere dangerous. Why you'll hear about it: ArXiv's new AI policy is essentially a human guardrail against unchecked AI-generated research slop.
The Bottom Line
The Pattern: Across every story today - from booming Philippine call centers to hollowed-out coding skills to a small Wisconsin town staring down an 1,900-acre data campus - AI isn't replacing the old world. It's stretching it. More demand, more infrastructure, more responsibility falling on humans who thought the machines would handle it.
Why It Matters: If you're a business owner or knowledge worker betting that AI will simplify your life, recalibrate. The tools accelerate everything, including the parts you didn't plan for: customer expectations, energy bills, skill atrophy, and community pushback. Ignoring the second-order effects is how you end up on the wrong side of Jevons paradox.
Your Move: Pick one task you've been handing off to AI on autopilot this week. Before you accept the output, spend ten minutes understanding why the answer is what it is. That's the difference between using a tool and being used by one.
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