October’s exceptionally weak U.S. Jobs Report was among the strangest in recent memory, due in part to extreme weather. The number of people saying they had a job but could not work due to bad weather was easily a record high, more than double the previous record.
Today women comprise 29% of the C-suite, way up from 17% in 2015. Yet improvement in representation has been notably slower at the entry and manager levels.
Tenure continues to decline since its high in 2012. Research shows that female workers, and younger workers overall, were more likely to be short-tenured employees.
Despite indications of Silicon Valley’s fall from grace as startup mecca, the reality is that the Bay Area has increased its share of tech startups in recent years.
Researchers assessed the feasibility of a current Large Language Model performing tasks based on specific skills. They examined over 2,800 skills in Indeed’s taxonomy. And guess how many of those skills were rated as “very likely” to be automated by GenAI? Zero.
US labor productivity has soared in the last five years, far more than other countries. The U.S.’s comparative advantage in technology likely played a key role. Other factors include a more flexible labor market, stronger investment in innovation, and a robust government stimulus that helped fuel a faster post-pandemic recovery.
Turnover risk is lower when employees can choose where they work (Great Place To Work Institute) – In the words of luminary thinker Daniel Pink: “Companies instituted mandatory return-to-office measures to boost productivity and deepen employee commitment. Turns out those moves had the *opposite* effect.”
Low-Wage Workers as Percent of the Workforce, by State (Visual Capitalist) – For the past 15 years, the federal minimum wage has remained unchanged, with its real value now at its lowest point in 67 years.
Join leading from UTSA, NJIT and UC Santa Barbara for a live brainstorming and think tank-style session, to discuss the AI-enhanced campus of the future.
Burning Glass looked at major employers and ranks them by % share of payroll working in occupations likely to be disrupted by AI. The results are eye-opening, especially for the Financial Services industry.