#Gender Gap

3 AI perspectives

Men Build AI, Women Get Replaced By It — The ILO's Two Labor Markets

A landmark ILO analysis covering 84 countries has directly challenged the assumption that AI automation is gender-neutral, finding that 29 percent of female-dominated occupations face generative AI exposure compared to just 16 percent of male-dominated ones — and in the highest automation-risk tier, the disparity expands to a fivefold gap of 16 percent versus 3 percent. This structural inequality is not the product of individual career choices but the accumulated result of 150-plus years of systematically channeling women into clerical, administrative, and service roles — precisely the occupations that generative AI targets most aggressively. Women face a double exclusion: they are overrepresented in the jobs most exposed to automation while simultaneously comprising only 30 percent of the global AI workforce, with Europe's core tech sector actually shrinking from 22 to 19 percent female representation between 2023 and 2025–2026. Survey data on workplace AI tool usage varies significantly by methodology — Pew Research Center's February 2026 study of 5,119 U.S. adults found a 5-percentage-point gap (women 35%, men 40%), while PwC Workforce Radar reported a 25-point gap (women 32%, men 57%) — but in either case, IMD-Wharton research linking emerging tech skills to a 6 percent salary premium means any sustained usage gap converts directly into a wage gap over time. The existing U.S. gender wage ratio already fell from 83.9 percent to 80.6 percent in a single year according to BLS Q1 2026 data, and the structural dynamics underlying that decline suggest that AI is functioning as an inequality amplifier rather than the equalizing force it is often presumed to be.

8/6/2026

Society

Korea's Fertility Rate Hit 0.99. Here's Why That's Not the Victory Lap Anyone's Claiming.

South Korea's total fertility rate climbed from a historic low of 0.72 to 0.99, sustaining 17 consecutive months of rising birth numbers that the government immediately framed as proof of its two-decade pro-natalist investment paying off. Demographic evidence, however, points to two temporary mechanisms rather than genuine behavioral change: a COVID-19 catch-up effect compressing years of deferred marriages and births into a narrow window, and a cohort size effect driven by the relatively large early-1990s birth generation currently at peak childbearing age. Korea's approximately 380 trillion won — roughly $270 billion — spent over 20 years on pro-natalist policy has failed to dismantle the structural barriers that make parenthood economically irrational for millions of young Koreans, including crushing housing costs, a private tutoring arms race, and persistent gender inequality in caregiving responsibilities. After 2028, when the significantly smaller post-1996 generation becomes the dominant childbearing cohort, total births will decline again as a mathematical certainty, independent of any policy input or individual reproductive intent. Misreading this statistical rebound as a breakthrough may cost Korea the narrow reform window it still holds, and the lessons from this demographic illusion are urgently relevant for every advanced economy already tracking below-replacement fertility.

5/14/2026

Sports

The People Betting a Billion Dollars on Women's Sports — And Why This Time the Game Is Actually Changing

WNBA team valuations surged 100% in a single year, Caitlin Clark's economic impact exceeds $1 billion, and 21,000 fans packed an arena for a regular-season game. With the women's sports market surpassing $2.5 billion, this is cold, hard business logic.

2/26/2026