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DL 434

Passive Consumers of Unthought Thoughts

Published: May 27, 2026 • 📧 Newsletter

Hi all, welcome back to Digitally Literate.

This week I keep coming back to a simple but unsettling shift. We are no longer just using tools to find information, we are using tools that increasingly decide what the information is before we ever see the sources. Search, browsers, and workplace software are becoming answer engines, and that changes more than convenience. It changes how we learn, how we verify, and how much friction remains between us and the truth.

That is why this issue is really about more than AI hype. It is about what happens when the source layer starts to disappear, when people are nudged toward summaries instead of evidence, outputs instead of process, and passive acceptance instead of active inquiry.

As always, the broader archive and connected notes for this newsletter live at digitallyliterate.net.

🕊️ The Vatican’s Warning on AI

One of the most surprising developments in the AI debate right now is that the Vatican is emerging as one of its clearest critics. Not in a reactionary or anti-technology sense, but as a moral and cultural counterweight to Silicon Valley.

In Magnifica Humanitas, Pope Leo XIV frames AI not as a narrow technical issue but as a question of labor, truth, education, democracy, human dignity, and power. The document was intentionally signed on the anniversary of Rerum Novarum_, linking today’s AI boom to the Church’s original response to industrial capitalism. The document argues that AI is not merely a technical issue, it is a question of labor, truth, education, democracy, human dignity, and power.

The Vatican’s critique is striking because it directly challenges many of the assumptions driving the current AI boom. Concentration of power, moral outsourcing, technocratic governance, and the replacement of human judgment with automated systems. The Church has also established an inter-dicasterial AI commission and publicly brought researchers like Christopher Olah of Anthropic into the conversation. The message seems to be that AI is not just about what machines can do. It is about who gets to decide, who bears the costs, and what happens when institutions stop asking people to think.

0️⃣ Preparing for a Google Zero Future

Last week, we talked about how Google effectively killed search. At this point, it’s hard to argue otherwise.

As I prepared this week’s issue, I went back into my vault and found a note from 2024 about Ed Zitron’s viral essay, The Man Who Killed Google Search. Zitron argued that search degraded because Google shifted from serving users to optimizing engagement and revenue growth. AI Mode feels like the culmination of that shift.

And honestly, it feels strange to admit this as someone who built much of his career around online research and media literacy. For years, I studied how students searched, scanned, sifted, synthesized, and shared information online. Increasingly, though, that process is collapsing into something much more passive: they ask, accept, and absorb.

That shift matters because search engines are no longer primarily retrieval systems. They are becoming interpretive systems. The machine is no longer simply locating information; it is deciding what the user means, what matters, and what should be surfaced before the user ever encounters the broader web.

Google’s recent “disregard” bug made this impossible to ignore. Users noticed that typing words like “disregard,” “ignore,” or “forget” no longer returned definitions or search results. Instead, Google’s AI treated those words as commands directed at the machine itself, responding with lines like: “Understood. Let me know whenever you have a new prompt.”

It was easy to dismiss the incident as a funny glitch, but it revealed something much deeper. A traditional search engine interprets “disregard” as an object of inquiry. An AI-driven answer engine interprets it as intent to execute. The system stopped looking at language and started acting on it.

At the same time, publishers are preparing for the fallout. Condé Nast’s CEO warned staff this week to prepare for a future where Google sends their brands effectively zero traffic.

The web is no longer simply being indexed. The web is being enclosed.

🪜 Expertise Starvation

I’ve been spending a lot of time lately thinking about the future of work amid our current wave of technological disruption. We’ve seen this before, automation shaking up industries is nothing new. But generative AI is fundamentally changing the script, primarily because of its unprecedented speed and its unique ability to shortcut the time it takes to mimic expertise.

The mainstream narrative is obsessed with an imminent "job apocalypse." Yet, two recent pieces in MIT Technology Review offer a vital reality check. The real risk isn’t mass white-collar unemployment. It’s the quiet erosion of the first rung of the career ladder.

David Rotman, editor at large of MIT Technology Review, analyzes macro labor statistics to show that AI is not causing mass white-collar unemployment.. Rotman highlights a striking 16% drop in entry-level hiring revealing that younger workers are uniquely vulnerable as companies automate routine junior roles. The real risk isn’t mass white-collar unemployment. It’s the quiet erosion of the first rung of the career ladder.

Georgios Petropoulos, an Assistant Professor at the USC Marshall School of Business warns that by automating these entry-level tasks, businesses are destroying the traditional corporate apprenticeship layer. By using AI to shortcut these foundational tasks, companies are inadvertently destroying their own training pipelines. Entry-level grunt work has never just been about cheap labor. It is where young professionals struggle through uncertainty, make mistakes, receive mentorship, and slowly build true competence.

If we automate away the beginner phase, we destroy the apprenticeship layer between school and expertise. We might gain short-term corporate efficiency, but we face long-term intellectual bankruptcy. A more insidious crisis is brewing right beneath the surface. Expertise starvation.

💭 Consider

We risk becoming passive consumers of unthought thoughts, deprived of
real encounters with others and with the world.

— Pope Leo XIV

🌱 Final Thought

These stories may seem disconnected. They’re not.

Together, they point to a deeper shift. Institutions are increasingly outsourcing judgment to automated systems in search, education, infrastructure, and work itself. The question is no longer whether AI is “good” or “bad.” It’s whether we are still building environments that require people to think, question, struggle, revise, and decide.

We are moving from active inquiry toward passive consumption. Users of the web no longer hunt through conflicting perspectives, compare sources, and build understanding through friction. Increasingly, they receive a synthesized answer and move on.

Digital literacy was once about evaluating information online. Increasingly, it may become about preserving the human capacities that automated systems quietly encourage us to abandon.

The long-term danger is not just misinformation. It is the erosion of the practice of looking for the truth in the first place.

If these reflections help you, there are a few ways to support the work:

See you next Wednesday on the other side. As always, my email is hello@wiobyrne.com.

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