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01 / 05
Musical Abundance

Blog Post | Innovation

Musical Abundance

For the time it took our grandparents to earn the money to buy one song in 1955, we get 19,750 songs today.

Summary: Thanks to technological innovations and economic growth, the time and money required to access music has plummeted over the decades. This article explores how personal music abundance has increased since 1955 and what it means for human creativity and well-being.


Thomas Edison developed the original phonograph record in 1877. The first playable records were made from paper pressed between two pieces of tin foil.

On March 15, 1949, RCA Victor became the first label to roll out 45 rpm vinyl records. They were smaller and held less music than the popular 78s and were printed in different colors. Rolling Stone notes, “Teenagers of the Fifties took to the portable, less-expensive format; one ad at the time priced the records at 65 cents each. One of rock’s most cataclysmic early hits, Bill Haley and the Comets’ ‘Rock Around the Clock,’ sold 3 million singles in 1955.”

Unskilled workers in 1955 were earning around 97 cents an hour. This puts the time price of a song at 40 minutes of work.

Apple launched the iTunes Store on April 28, 2003, and sold songs for 99 cents. By this time, unskilled wages had increased to $9.25 an hour. The time price of a song had dropped 84 percent to 6.42 minutes of work. Listeners in 2003 got six songs for the price of one in 1955.

Apple Music launched on June 30, 2015. Today a student can get access to 90 million songs for $5.99 a month. Unskilled workers are earning around $14.53 an hour, so the time price is around 25 minutes of work. Users stream as well as download albums and tracks to devices for offline playback. If a typical song runs three to four minutes, you can play 12,342 songs per month. The time price per song is around one-eighth of a second of work. 

For the time it took our grandparents to earn the money to buy one song in 1955, we get 19,750 songs today. Since 1955, personal music abundance has been growing around 15.9 percent a year, doubling in abundance every 4.5 years.

All of the products we enjoy today are the culmination of billions and billions of little bits of knowledge that humans discover and then share with the rest of us in free markets. Create a song and share it with the planet. We can lift ourselves up and make life better for one another.

Do we still have problems? Of course we do. And we will always face challenges. But look at what we have accomplished in the last 200 years. This is what happens when people are free to solve one another’s problems.

You can learn more about these economic facts and ideas in our new book, Superabundanceavailable on Amazon.

Center for AI Safety | Science & Technology

A Significant Increase in Digital Labor Automation

“The Remote Labor Index (RLI) measures how often AI agents can complete real, economically valuable freelance projects (3D & CAD, architecture, graphic design, video and animation, audio, data analysis, web apps, and more) at a quality a paying client would actually accept. Every deliverable is judged by human evaluators against a gold-standard deliverable produced by a paid professional. The headline metric, the automation rate, is the share of projects where the AI’s work is judged as good as (or better than) the human’s.

At the benchmark’s release, the best AI agent automated just 2.5% of projects. Today we’re publishing results for three newer models, paired with stronger agent scaffolding. Automation rate is rapidly increasing…

Fable 5 reaches the highest automation rate measured so far, 16.1%, roughly double Opus 4.8 at 8.3%. GPT‑5.5 reaches 6.3%. All three score above every previously evaluated model.

For context, the previous published leader sat at 4.17% (Opus 4.6 with the Claude Cowork scaffold), and the field topped out at 2.5% when RLI was released. The frontier has more than quadrupled in under eight months, a concrete signal of how quickly economically capable AI agents are advancing.”

From Center for AI Safety.

The Economist | Labor Productivity

America Is Experiencing a Productivity Miracle

“As with many a miracle, onlookers disbelieved their eyes at first. For a decade after the global financial crisis of 2007-09 rich-world productivity growth was, by historical standards, dead. Since economic prosperity ultimately depends on the ability to produce more with the same labour, this consigned even prosperous America to eternal stagnation (and don’t ask about Europe). The Congressional Budget Office, a fiscal watchdog which consistently overestimated productivity growth in the 2010s, has been consistently glum this decade. Partial data hinting otherwise were dismissed as false prophets.

But those data kept coming. And now they are indisputable: over the past five years or so American productivity has been growing at the fastest rate in around two decades. Whether you look at non-farm businesses’ output per worker or per hour, it has risen by a lively 2% a year, from a moribund 1% for most of the 2010s. This has led the Federal Reserve to raise its median forecast for America’s long-run GDP growth from 1.8% to 2%. Jerome Powell, the outgoing chair, bore witness at a recent press conference. “I never thought I’d see this many years of really high productivity,” he marvelled in response to a question from The Economist.”

From The Economist.

Axios | Labor Productivity

AI Is Triaging Mothers’ Hidden Labor

“Mothers are using AI as a personal assistant to manage the invisible work of raising today’s kids…

ChatGPT’s gender gap appears to be closing. Immediately following its release, only 17.6% of active ChatGPT users had typically feminine first names. As of June 2025 the percentage of active users with feminine first names had jumped to 52.4%…

By the numbers: ‘Organizing my life’ was the second-most popular use case for genAI in 2025, according to new research from Harvard Business Review…

What they’re saying: ‘ChatGPT has basically become like an extended village of my parenting,’ Sandy Shakoor, a PR director with two young kids, told Axios.

‘Now there are three of us to do things,’ Sarah Dooley, founder of AI-Empowered Mom and mother of three, told Axios. ‘AI is the third supporter, the third leg of the stool in this little household.’ Dooley used to teach mothers how to use AI in classes she held in her living room. Now she hosts a podcast, writes a newsletter and is developing an AI assistant, all in the service of reducing the mental load of motherhood.”

From Axios.

Blog Post | Manufacturing

Grim Old Days: Virginia Postrel’s Fabric of Civilization

Beneath today’s abundance of clothing lies a long and brutal history.

Summary: Virginia Postrel’s book weaves a sweeping history of textiles as both drivers of innovation and toil. From ancient women spinning for months to make a single garment to brutal sumptuary laws and dye trades steeped in labor and odor, it is revealed how fabric shaped the foundations of human society.


Virginia Postrel’s The Fabric of Civilization: How Textiles Made the World is the riveting story of how humanity’s quest for thread, cloth, and clothing built modern civilization, by motivating achievements from the Neolithic Revolution to the Industrial Revolution and more. While much of the book contains inspiring tales of innovation, artistry, and entrepreneurship, the parts of the book about the preindustrial era also reveal some dark and disturbing facts about the past.

In the preindustrial era, clothing was often painstakingly produced at home. Postrel estimates that, in Roman times, it took a woman about 909 hours—or 114 days, almost 4 months—to spin enough wool into yarn for a single toga. With the later invention of the spinning wheel, the time needed to produce yarn for a similarly sized garment dropped to around 440 hours, or 50 days. Even in the 18th century, on the eve of industrialization, Yorkshire wool spinners using the most advanced treadle spinning wheels of the time would have needed 14 days to produce enough yarn for a single pair of trousers. Today, by contrast, spinning is almost entirely automated, with a single worker overseeing machines that are able to produce 75,000 pounds of yarn a year—enough to knit 18 million T-shirts.

Most preindustrial women devoted enormous amounts of time to producing thread, which they learned how to make during childhood. It is not an exaggeration to say, as Postrel does, “Most preindustrial women spent their lives spinning.” This was true across much of the world. Consider Mesoamerica:

At only four years old, an Aztec girl was introduced to spinning tools. By age six, she was making her first yarn. If she slacked off or spun poorly, her mother punished her by pricking her wrists with thorns, beating her with a stick, or forcing her to inhale chili smoke.

These girls often multitasked while spinning: “preindustrial spinners could work while minding children or tending flocks, gossiping or shopping, or waiting for a pot to boil.” The near-constant nature of the task meant that prior to the Industrial Revolution, “industry’s visual representation was a woman spinning thread: diligent, productive, and absolutely essential” to the functioning of society, and from antiquity onward cloth-making was viewed as a key feminine virtue. Ancient Greek pottery portrays spinning “as both the signature activity of the good housewife and something prostitutes do between clients,” showing that women of different social classes were bound to spend much of their lives engaged in this task.

Women of every background worked day and night, but still, their efforts were never enough. “Throughout most of human history, producing enough yarn to make cloth was so time-consuming that this essential raw material was always in short supply.”

Having sufficient spun yarn or thread was only the beginning; it still had to be transformed into cloth. “It took three days of steady work to weave a single bolt of silk, about thirteen yards long, enough to outfit two women in blouses and trousers,” although silk-weavers themselves could rarely afford to wear silk. According to Postrel, a Chinese poem from the year 1145, paired with a painting of a modestly dressed, barefoot peasant weaving silk, suggests that “the couple in damask silk . . . should think of the one who wears coarse hemp.”

Subdued colors often defined the clothing of the masses. “‘Any weed can be a dye,’ fifteenth-century Florentine dyers used to say. But that’s only if you want yellows, browns, or grays—the colors yielded by the flavonoids and tannins common in shrubs and trees.” Other dye colors were harder to produce.

In antiquity, Tyrian purple was a dye derived from crushed sea snails, and the notoriously laborious and foul-smelling production process made it expensive. As a result, it became a status symbol, despite the repulsive stench that clung to the fabric it colored. In fact, according to Postrel, the poet Martial included “a fleece twice drenched in Tyrian dye” in a list of offensive odors, with a joke that a wealthy woman wore the reeking color to conceal her own body odor. The fetor became a status symbol. “Even the purple’s notorious stench conveyed prestige, because it proved the shade was the real thing, not an imitation fashioned from cheaper plant dyes.” The color itself was not purple, despite the name, but a dark hue similar to the color of dried blood. Later, during the Renaissance, Italian dyers yielded a bright red from crushed cochineal insects imported from the Americas, as well as other colors that were created by using acidic bran water that was said to smell “like vomit.”

Numerous laws strictly regulated what people were allowed to wear. Italian city-states issued more than 300 sumptuary laws between 1300 and 1500, motivated in part by revenue-hungry governments’ appetite for fines. For example, in the early 1320s, Florence forbade women from owning more than four outfits that were considered presentable enough to wear outside. Postrel quotes the Florentine sumptuary law official Franco Sacchetti as writing that women often ignored the rules and argued with officials until the latter gave up on enforcement; he ends his exasperated account with the saying, “What woman wants the Lord wants, and what the Lord wants comes to pass.” But enough fines were collected to motivate officials to enact ever more restrictions.

In Ming Dynasty China, punishment for dressing above one’s station could include corporal punishment or penal servitude. Yet, as in Florence, and seemingly nearly everywhere that sumptuary laws were imposed, such regulations were routinely flouted, with violators willing to risk punishment or fines. In France in 1726, the authorities harshened the penalty for trafficking certain restricted cotton fabrics, which were made illegal in 1686, to include the death penalty. The French law was not a traditional sumptuary law, but an economic protectionist measure intended to insulate the domestic cloth industry from foreign competition. Postrel quotes the French economist André Morellet lamenting the barbarity of this rule, writing in 1758,

Is it not strange that an otherwise respectable order of citizens solicits terrible punishments such as death and the galleys against Frenchmen, and does so for reasons of commercial interest? Will our descendants be able to believe that our nation was truly as enlightened and civilized as we now like to say when they read that in the middle of the eighteenth century a man in France was hanged for buying [banned cloth] to sell in Grenoble for 58 [coins]?

Despite such disproportionate punishments, the textile-smuggling trade continued.

Postrel’s book exposes the brutal realities woven into the history of textiles; stories not just of uplifting innovation, but of relentless toil, repression, and suffering. Her book fosters a deeper appreciation for the wide range of fabrics and clothes that we now take for granted, and it underscores the human resilience that made such abundance and choice possible.