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| Recent research shows that although outnumbered by men in the US workforce, women could be disproportionately affected by businesses’ adoption of generative AI: One recent analysis estimates that 79% of working women (nearly 59 million) are in occupations susceptible to disruption and automation. That’s compared to 58% of working men, according to research from the University of North Carolina’s Kenan-Flagler Business School. |
| A higher percentage of working women are employed in white-collar jobs, whereas for men it’s more of a 50-50 split between white- and blue-collar occupations, said Mark McNeilly, professor of the practice of marketing at the Kenan-Flagler school and lead author of the AI research. |
| Revelio Labs, which specializes in the collection and analysis of publicly available workforce data, recently identified the most AI-exposed occupations and the gender and ethnicity distributions among them. Revelio’s analysis showed that the AI-exposed positions with the highest percentage of women included bill and account collectors (82.9%), payroll and timekeeping clerks (79.7%), executive secretaries (74.3%), word processors and typists (65.4%) and bookkeeping, accounting and auditing clerks (65%). |
| In the most AI-exposed occupations, women make up 71% of employees, said Ben Zweig, Revelio’s chief executive officer. |
| Generative artificial intelligence technologies like ChatGPT have the potential to transform the labor market, exposing the majority of the nation’s jobs to automation, Goldman Sachs economists have projected. The technology can create new content — such as text, images, audio, video, and code — from training data that includes examples of that desired output. |
| Generative AI might not have the capacity now to turn a patient over or insert an IV, but it could prove helpful in poring through billions of pieces of imaging data to diagnose a condition. |
| "The thing about AI is that it’s not perfect; it’s generating new content from existing content,” she said. “It still needs a human to create some existing content for it to pull from. And whatever it’s generating, it doesn’t mean it’s right — you still need someone to look at it and see if it makes sense.” said Dana Peterson, chief economist at the Conference Board. |
| "Yes, it may destroy jobs in the short run, but it also creates new jobs and different opportunities. It helps people to become more productive in their existing jobs,” she said. |
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