For years, AI industry watchers of all stripes have been warning of a coming jobs apocalypse driven by ultra-intelligent AI systems that will be able to replicate most human tasks more cheaply. Now, newly updated research from Stanford University economists suggests AI seems to be causing significant entry-level job losses for younger workers in some fields, even as older workers appear largely unaffected so far.

The August 2026 edition of "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence" updates and revises a paper of the same name published last year with fresh data and refined statistics. In that update, the Stanford researchers find the employment trends they identified for entry-level workers last year are persisting and expanding. Specifically, employment levels for workers aged 22 to 25 in the most "AI-exposed" occupations are now 19 percent below those of their peers in fields less exposed to AI disruption.

Last year, that gap measured just 13 percent.

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When someone uploads a photo to the people-search tool ClarityCheck, the website has a clear message: “Your reverse image search is private and secure.” New research, though, shows that the website left more than 9 million image files, including photographs of people’s faces, publicly exposed. And a second misconfiguration publicly exposed people’s email addresses and phone numbers.

Overall, according to findings from independent security researcher Jeremiah Fowler, the exposed ClarityCheck database contained roughly 450 GB of images, including what appeared to be profile images, screenshots, and other photographs of adults, teenagers, and children. All of the images were stored in an unsecured Amazon S3 bucket, with files in folders named “faces” and “profiles,” which could be accessed by anyone online through a URL included in the company’s publicly available website code.

ClarityCheck is one of a number of so-called people-finder tools that have appeared online in recent years. These websites broadly claim to be able to search the web, public records, and other databases to identify individuals. ClarityCheck’s website says it can run searches on phone numbers, email addresses, vehicle identification numbers, and names. Its photo-search page says it can help “identify anyone in a photo” and find social media profiles “in seconds.”

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In the mid-'90s, the web was exploding, but finding anything of actual value on it felt like an elaborate negotiation with whatever proto-search engine happened to be standing closest to the door. Unlike now, when Google is widely seen as both portal and gatekeeper, sites like AltaVista, Lycos, Excite, HotBot, and Ask Jeeves promised to tame the chaos, each with its own suite of quirks, charms, and flaws.

The real story of pre-Google search is not that early engines were inferior. It's that they reflected a different Internet entirely, one where directories mattered, crawling was still an art, ranking was fragile, and the idea of “search” had not yet hardened into a single dominant interface.

A different kind of web

The first thing to remember about the pre-Google Internet is that there was no built-in assumption that you could search for everything. Many users found pages through Yahoo-style directories, bookmarks, newsgroups, email signatures, and links from site to site because the web was still small enough that human organization could compete with machine indexing. It was an era of Wild West-style discoverability. Search engines existed, but they were only one part of a larger ecosystem that blended curation and accident.

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Like any company, Reddit reports quarterly earnings, and its CEO, Steve Huffman, addresses investors during those reports. It's not always about just sharing numbers, though: This quarter, Huffman took the opportunity to voice concerns and criticisms about Google's AI Overviews feature, which automatically summarizes search results on most user queries.

First, there was a letter to investors, wherein Huffman spun his narrative about Reddit's value proposition and general strategic direction amid the proliferation of AI tools.

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