When the Secretary Vanished

You've seen the headlines. But what would actually happen if everyone's 9-to-5 became optional? We dug into the data. Traced automation philosophy back thousands of years. Examined what happened when elevator operators disappeared. Looked at Alaska's 40-year experiment paying every citizen. And investigated the Philippines, where 89% of call center jobs are now at risk. What we found was more positive than bleak. This video explores three questions: What does the data actually show? What does history tell us about this kind of disruption? And what happens when work becomes optional?

As the internet and email became more popular in the 1990s, more infrastructure that would eventually support remote work was created. But the practice was still relatively uncommon until the COVID-19 pandemic, when white-collar workers first took to working from home en masse.

'Bossware' tools help employers make sure their remote workers aren't slacking off on the job, using surveillance technology to monitor employee computer activity and more.

The animated characters served as intelligent user interfaces for Microsoft Office and were sketched by hand before being scanned. Clippy was selected as the default assistant after social psychologists at Stanford University identified it as the most trustworthy, likable, and humorous character based on public testing.

In 2025, readers discovered AI prompts in three writers' texts, with one even instructing the AI bot to make a passage sound more like another romance writer. This Futurism piece digs into the scandals and how it's contributed to readers' skepticism about the genre's more prolific writers.

AI, as a concept, has been around since at least the 1950s, but it's only in the last year or so that the technology has been able to equal humans at many tasks -- and in many cases surpass humans. In this podcast, mathematician and computer scientist Stephen Wolfram provides an AI 101, explaining how we got here, how highly advanced chatbots like ChatGPT work, and what our world is in store for next.

Workers, particularly in marketing, are experiencing mental fatigue in the workplace due to expectations—often unspoken—that they should use AI to multitask beyond their comfort levels. Many feel they are underperforming if they don't embrace this technology. This situation differs from typical burnout. This podcast discussion suggests that this "brain fry" tends to intensify when employees are required to use more than three AI tools.

A former congressional scheduler explains that a member's time is the scarcest resource in any Hill office, and controlling the calendar means understanding every competing claim on it, from the legislative team to the member's family. The interview demystifies how a typical House office actually functions, from staff hierarchies to outside resources like the Congressional Research Service.

Tracking began in 1939, when the federal workforce consisted of about 1 million people. The total peaked in 1990 at 3.4 million, and hit a recent low in 2014 at 2.7 million.

Most AI systems are so-called "black box" models, where we only see inputs and outputs while the inner workings remain obscure. This piece, written prior to the launch of ChatGPT, cautions developers to know why and how a system produces its results, and not to sacrifice explainability for accuracy.

Rodney Brooks wrote several decades ago about the boom and bust cycles of artificial intelligence. Starting from the 1950s excitement over ENIAC's multiplication through the second launch of then-novel neural networks, Brooks suggests AI progresses incrementally despite the hype.

Here's the story of Susan Thunder, a woman who entered the hacker underground scene in the late 1970s and one day disappeared completely. She had a troubled past, facing abuse and hardship, and found solace in manipulating phone systems and later computer systems. She became involved with prominent hackers and her ability to control systems mirrored her quest for personal control. Her story highlights the role of social engineering in hacking.

This oral history brings together programmers, engineers, and officials who first identified the date flaw and then spent years alerting the public to the danger and racing to repair millions of lines of code.

When IBM’s Deep Blue supercomputer won its famous chess rematch with then world champion Garry Kasparov in May 1997, the victory was hailed far and wide as a triumph of artificial intelligence. But John McCarthy—the man who coined the term and pioneered the field of AI research—didn’t see it that way. An obituary about McCarthy—who passed in 2001—and his ideas.

Berkshire Hathaway chairman Warren Buffett is one of the many people who’ve come face-to-face with the downside effects of AI, and in particular, deepfakes. He was recently shown a deepfake of himself in a video, which caused him to worry about how bad actors will take advantage of the technology.

Every year, it seems like some study is claiming that remote work is over, and that employers are forcing workers to return to office en masse. This chart shows a much more nuanced picture of how remote work has fluctuated before, during, and after the 2020 COVID-19 pandemic—remote, hybrid, and in-person work levels have remained relatively stable since 2023.

From the Panic of 1907 to the Silicon Valley Bank collapse in 2023, this bank scholar and former Fed official goes into the history of the country's worst bank runs.

Before the telephone was invented in the mid 1800s, people had to trade stocks in person. But once office telephones and computers became commonplace, banks and other financial institutions didn't necessarily need to have their headquarters near exchanges like Wall Street's New York Stock Exchange.

Punch card computers from the late 1940s were used to store and process a company's data locally before the advent of desktop computers. As the amount of data and company sizes increased alongside the miniaturization of technology, mainframes were replaced by local server rooms and external facilities with interconnected servers running cloud-based and AI software.

Modern work organization traces back to 19th-century scientific management, an approach that optimized output by viewing workers as machine components. That logic still persists today and contributes to burnout, stress, and disengagement. Researchers propose a "circular work" model that combines effort with recovery, learning, and renewal, suggesting productivity and well-being should align rather than compete.

Tens of thousands of Japanese people reportedly choose to leave their lives behind and vanish, according to a 2016 book by Lena Mauger. This long read dives into some of the book's claims via interviews with some of the individuals opting to vanish,...

2022 was the year AI broke onto the scene, with applications like ChatGPT amazing users with its ability to generate realistic-sounding answers. Technologist Arvind Narayanan presents a clear-eyed view of what the technologies can (and can't) do.

AI innovation will likely decrease costs for companies and lead to a large increase in supply. That dramatic increase could conceivably bring prices down but keep supply high. However, AI's real impact will likely be complicated by its impact on human labor and the cost of new technology.

To maintain secrecy, the US built three remote research facilities and entire “secret cities” to house thousands of workers and families. These communities—home to tens of thousands—were omitted from official maps until after World War II.

The study also found that pages using AI narrow the range of ideas and perspectives and skew more positively, though the measurable impacts on factual accuracy and writing style variation remain unclear.

Before 1979, managers were essentially information processors working off paper ledgers. Scenario modeling was slow, manual, and expensive. Companies were understood as organizations that built things with financial analysis as secondary. VisiCalc made calculation so cheap that you could work iteratively, setting out forecasts and tweaking assumptions until you got the answer you wanted. Oks argues It created a new way of seeing the world.

Robots. Drones. Artificial Intelligence. All three are touted as potential saviors for farmers, and are already being deployed on large farms, where they assist with such tasks as managing crops, milking cows, and helping farmers make decisions about their land. But agricultural AI could have disastrous, unintended consequences.

In 2024, the Federal Aviation Administration employed more than 14,000 air traffic controllers—crucial workers who direct traffic in and out of airports and around legal airspace. However, due to long training programs and the pandemic's aftereffects, as of 2023, nearly half of the agency's 290 facilities are understaffed. The agency has attempted to shift its hiring direction to increase its numbers.

Silicon Valley wasn't supposed to happen. A stretch of California orchard land somehow became the place that built the modern world: chips, PCs, the internet, the smartphone, and now AI. But the real story isn't the garage myth. It's a series of contradictions hiding in plain sight.

Margaret Hamilton and Ellen Fetter worked on MIT's 800-pound Royal McBee LGP-30 computer, which was fed binary code on paper tape to perform computations. Among the computations performed were those involving equations describing the motion of gas in a circulating fluid for Edward Lorenz, widely considered the father of chaos theory.

Dystopian literature is no longer relegated to the page, with innovations like the Tesla Cybertruck and Meta virtual reality headsets mirroring the aesthetics of texts like "The Running Man" and "Neuromancer." In this essay, Casey Michael Henry argues that the images from these works remain while their messages have faded.

Foreseeing the rising volume of data and the increasing demand for its processing and access, she advocated that organizations first map the total flow of information they require and then choose infrastructure to support it, rather than wastefully spending on the fastest computing technology and forcing software to compensate for unnecessary hardware or incorrect data.

At the start of the millennium, more than 68 million checks were processed daily. Amid the adoption of automated clearinghouse (ACH) payment systems, that number has sunk to 12 million a day.

As AI becomes a bigger part of our lives, what does that mean for the future of humanity? The podcast Entanglements hosts a pessimistic former OpenAI employee and an optimistic Princeton professor to discuss whether AI brings dystopia or a brighter future.

Acknowledging that most people have "an enormous tendency to resist change," Hopper's clock served as a reminder for the computer scientist that just because things have been done a certain way does not mean they should forever remain that way: "They love to say, 'We've always done it this way.' I try to fight that."

Journalist Evan Ratliff became the object of his own story: He opted to clone his voice, feed it into an AI chatbot, and have it do the talking. What could seem like a fun experiment ended up revealing just how far the capacity of artificial intelligence can go in imitating our identities. Hear the ins and outs of how Ratliff achieved this in this fun and thought-provoking episode.