Electric lighting didn’t take over overnight. By the early 1900s, urban areas began embracing it. Still, it wasn’t until the mid-20th century that household adoption became nearly universal. This timeline reminds us: even world-changing innovations move at the pace of trust, not just technology.
The anxiety around AI today mirrors those early cloud debates. People worry about job displacement, data misuse, and control. These concerns deserve attention. But history shows that when we pair innovation with strong frameworks, progress usually brings net-positive outcomes. AI, like the cloud, will soon be foundational to how we live and work.
Just as we learned to educate users, set up safeguards, and guide adoption with the PC, we must do the same with AI. Let’s not be paralyzed by fear. Let’s shape the future with wisdom and optimism.
More workers have accepted a smaller paycheck when changing jobs — and the trend predates the pandemic.
An increasing share of restaurant worker income comes from tips (Square Payroll Index, 2024): The restaurant industry is about 10% of the total U.S. workforce, and the majority of its 12.4M workers rely on tips for significant income. These tips are becoming a larger share of restaurant worker income, but they are also more volatile due to changing consumer behavior and economic downturns.
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.