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Relationships in the Age of AI
Why did the AI swipe right on everyone? Because it was trained on human behavior — and apparently, we have terrible taste.
Dating has always been chaotic, hopeful, and a little humiliating. What's new is that now there's a machine watching the whole thing, taking notes, and occasionally whispering in your ear. Wired recently reported that the AI companion sector surged over 96% since 2024, and yet the hottest countertrend is people ditching apps entirely for old-fashioned meet-cutes. Turns out, when everything is optimized, nothing feels real. Dating apps already use AI to surface smarter matches based on behavior, not just bios, and newer tools like Three Day Rule now embed AI matchmakers and coaches directly into the app experience. The pitch is less swiping, more signal.
Used thoughtfully, AI genuinely helps. It can help you draft a calmer text when you're ready to send something you'll regret, help you prepare for a hard conversation, or reflect back patterns in how you communicate that you've been too close to see. Some tools act less like a replacement for therapy and more like that brutally honest friend who actually has receipts. That's a reasonable use case. The problem starts when AI stops being a mirror and becomes the relationship itself.
The companion bot space is where things get genuinely uncomfortable. Wired went to an actual couples retreat with people in serious relationships with AI partners, and it barely survived. EVA AI threw a Valentine's pop-up in Manhattan to normalize AI-human romance as "the new normal." A recent survey found 28% of adults now report having a romantic or intimate relationship with an AI. Meanwhile, MIT Technology Review is tracking a looming regulatory crackdown after two teenagers died and their families filed lawsuits pointing to unhealthy bonds with companion AI. This is no longer an abstract ethics debate.
The deeper issue is what these always-agreeable, never-tired, never-having-a-bad-day bots do to our expectations of real human connection. MIT researchers coined the phrase "digital attachment disorder" to describe what happens when repeated interactions with sycophantic AI companions erode our capacity to engage with actual humans — who are messy, complicated, and occasionally wrong. The American Psychological Association found that some patients openly prefer their AI companions over real partners because real people might reject or challenge them. That's not loneliness being solved. That's loneliness being rented out on a subscription model.
The practical guideline is simple: AI can support your emotional life, not replace it. Use it to rehearse a hard conversation, then go have the actual conversation. If you find yourself sharing more with a bot than with any person in your life, that's a signal — not to upgrade the bot, but to reach back toward real human community. And if you're raising a teenager right now, the risks to kids forming deep attachments to AI companions are something worth talking about directly, not just hoping they figure out on their own.
Now, the flip side: AI that actually sends you toward humans. Boardy is the most interesting counter-example in this whole landscape. It's an AI super-connector that calls you, asks smart questions about your goals and what you're building, and then makes warm, double-opt-in introductions to people who actually align with your work. No spray-and-pray LinkedIn messages. No cold outreach that goes nowhere. Just a well-connected AI that acts like the best networker you know — except it never forgets anyone and works around the clock. PCDN featured Boardy as one of the most promising tools for social impact careers precisely because it's built around intentional, values-aligned connection. If you haven't tried it: give it 20 minutes, be honest about what you're building, and let it do the rest.
The real question AI is forcing us to answer is not whether technology can simulate love or connection — it clearly can, convincingly enough to fool us. The question is what we actually want from each other, and whether we're willing to do the harder, slower, more rewarding work of building real relationships. Use every good tool available to help you find your people, communicate better, and show up more fully. But keep the center of your relational life stubbornly, deliberately human — full of contradiction, surprise, and the kind of growth that only happens when someone can actually push back.
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NEWS & Resources
🤖 Your AI Impact Joke
Why did the AI startup founder bring a ladder to the data center?
Because the valuations were sky‑high, and the guardrails were still under construction.
News
Stanford's 2026 AI Index: speed, scale, and serious externalities — Frontier models keep getting sharper while adoption outpaces the early internet. AI data centers now draw an estimated 29.6 gigawatts of power—roughly New York State's peak demand—and running GPT‑4o alone may consume enough water annually for 12 million people's drinking needs.
Why the world is so split on AI's future — The US hosts 5,427 data centers—over 10x any other country—while a single company, TSMC, fabricates nearly every leading AI chip. Meanwhile, 73% of AI experts expect AI to help jobs versus only 23% of the public, a 50‑point optimism gap driving today's whiplash narratives.
The AI industry's "hidden financial loop" — TechPolicy.Press dissects how cloud credits and revenue recognition create a circular money flow between hyperscalers and AI labs. Much of Microsoft's "investment" in OpenAI reportedly returns as Azure credits, potentially manufacturing demand statistics regulators treat as organic.
AI is getting frighteningly good at finding security holes — NPR reports Anthropic's latest model autonomously uncovered security vulnerabilities in critical open‑source infrastructure at a speed human auditors can't match. Powerful for defenders; terrifying in the wrong hands.
The Wayback Machine is in peril — At least 23 major news sites now block the Internet Archive's crawler, tied to AI training and content‑reuse battles. When institutions can quietly rewrite history, accountability suffers most.
"AI brain fry" hits the workplace — NPR's It's Been a Minute spotlights new research coining "AI brain fry"—the mental fatigue of constantly supervising and double‑checking AI tools. For many workers, oversight duties are more stressful than the tasks AI replaced.
💼 Jobs, Jobs, Jobs
PCDN Global Job Board — Nearly 1,500 impact opportunities from around the world across all sectors, with many remote roles. Whether you're looking for your next mission-driven career move or recruiting top talent for your organization, it's one of the best places to start.
👤 LinkedIn Profile to Follow
Prof. Dr. Dagmar Monett — Critical AI Researcher & Computer Science Chair — Full Professor and Head of Computer Science at HWR Berlin, Dagmar brings 37+ years of research to the urgent question of what intelligence—human or machine—actually means. Her work on Critical AI and AI ethics cuts through the hype to ask the harder structural questions the industry too often avoids. A rare voice grounding AI discourse in rigorous computer science.
🎧 Today's Podcast Pick
Eye on A.I. — "The Robot Revolution Nobody Is Talking About" — Host Craig S. Smith interviews UC Berkeley's Sergey Levine on "foundation models for robots." Think large language models—but for machines navigating the messy physical world.








