
Cecilia Conrad
In 2023, when Yield Giving founder MacKenzie Scott wanted to give $250 million to 250 charities serving low-income households and people facing discrimination, she turned to Cecilia Conrad for help choosing which groups most deserved the grants. Conrad runs Lever for Change, a nonprofit that connects donors with organizations through 'open calls,' or competitions for funding, then brings in experts to evaluate applicants for financial soundness, impact, and effectiveness. It's a reversal of the typical invitation-only system most foundations use for grants, and gave, on the one hand, little-known nonprofits a shot at significant funding and, on the other, donors a chance to discover compelling new groups to support.
The upshot for Scott? Lever for Change identified so many promising organizations that last year she ended up more than doubling her initial pledge, giving away $640 million to 361 groups, chosen from more than 6,000 applicants.
Such is the transformative power of Conrad, a Stanford-trained economics professor-turned philanthropy executive who previously led the MacArthur Foundation's Fellows program, aka its 'Genius' grants. She founded Lever for Change in 2019 to dismantle barriers in philanthropy. 'There are donors who want to fund creative, effective organizations and creative, effective organizations who need funding but they have trouble finding each other,' Conrad says.
To date, Lever for Change, which has also advised LinkedIn co-founder Reid Hoffman, has influenced $2.5 billion in donations to more than 500 charities. And more is coming: The organization is now vetting hundreds more charities to help Melinda French Gates decide how to allocate $250 million to improve women's health. 'We exist to help donors discover new ideas, new potential," Conrad says.
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This millennial was rejected from 200 jobs—now he makes millions charging wealthy families six-figures to get their kids into the Ivy Leagues
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Atlantic
a day ago
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The Computer-Science Bubble Is Bursting
The job of the future might already be past its prime. For years, young people seeking a lucrative career were urged to go all in on computer science. From 2005 to 2023, the number of comp-sci majors in the United States quadrupled. All of which makes the latest batch of numbers so startling. This year, enrollment grew by only 0.2 percent nationally, and at many programs, it appears to already be in decline, according to interviews with professors and department chairs. At Stanford, widely considered one of the country's top programs, the number of comp-sci majors has stalled after years of blistering growth. Szymon Rusinkiewicz, the chair of Princeton's computer-science department, told me that, if current trends hold, the cohort of graduating comp-sci majors at Princeton is set to be 25 percent smaller in two years than it is today. The number of Duke students enrolled in introductory computer-science courses has dropped about 20 percent over the past year. 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If the numbers are any indication, we might have passed peak computer science. Chris Gropp, a doctoral student at the University of Tennessee at Knoxville, has spent eight months searching for a job. He triple-majored in computer science, math, and computational science at the Rose-Hulman Institute of Technology and has completed the coursework for a computer-science Ph.D. He would prefer to work instead of finishing his degree, but he has found it almost impossible to secure a job. He knows of only two people who recently pulled it off. One sent personalized cover letters for 40 different roles and set up meetings with people at the companies. The other submitted 600 applications. 'We're in an AI revolution, and I am a specialist in the kind of AI that we're doing the revolution with, and I can't find anything,' Gropp told me. 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'I can say, as the father of a computer-science master's degree holder with expertise in machine learning who is still looking for a job, that the industry is not what it used to be,' he told me. In the ultimate irony, candidates like Gropp might be unable to get jobs working on AI because AI itself is taking the jobs. 'We know AI is affecting jobs,' Rusinkiewicz, from Princeton, told me. 'It's making people more efficient at some or many aspects of their jobs, and therefore, perhaps companies feel they can get away with doing a bit less hiring.' Derek Thompson: Something alarming is happening to the job market The best evidence that artificial intelligence is displacing tech workers comes from the fact that the industry that has most thoroughly integrated AI is the one with such unusually high unemployment. Tech leaders have said publicly that they no longer need as many entry-level coders. Executives at Alphabet and Microsoft have said that AI writes or assists with writing upwards of 25 percent of their code. (Microsoft recently laid off 6,000 workers.) Anthropic's chief product officer recently told The New York Times that senior engineers are giving work to the company's chatbot instead of a low-level human employee. The company's CEO has warned that AI could replace half of all entry-level workers in the next five years. Kinder, the Brookings fellow, said she worries that companies soon will simply eliminate the entire bottom rung of the career ladder. The plight of the tech grads, she told me, could be a warning for all entry-level white-collar workers. Not everyone agrees that AI is causing the turbulence in the job market. The tech industry frequently goes through booms and busts. The biggest companies exploded in size when the economy was good. Now, with high interest rates and the specter of new tariffs, executives are likely holding off on expanding, and workers are reluctant to leave their job, says Zack Mabel, director of research at the Georgetown University Center on Education and the Workforce. Companies have an incentive to blame layoffs on AI instead of forces within their control, David Deming, an economics professor at Harvard, told me. 'Before we see big changes from AI in the labor market, companies have to internalize this new capability and change what they ask for. And that's the thing that I have not seen very much of,' he said. 'It could be AI, but we just don't know.' Enrollment in the computer-science major has historically fluctuated with the job market. When jobs are scarce, people choose to study something else. Eventually, there aren't enough computer-science graduates, salaries go up, and more people are drawn in. Prior declines have always rebounded to enrollment levels higher than where they started. (And some universities, such as the University of Chicago, still haven't seen any enrollment drops.) Sam Madden, a computer-science professor at MIT, told me that even if companies are employing generative AI, that will likely create more demand for software engineers, not less. Whether the past few years augur a temporary lull or an abrupt reordering of working life, economists suggest the same response for college students: Major in a subject that offers enduring, transferable skills. Believe it or not, that could be the liberal arts. Deming's research shows that male history and social-science majors end up out-earning their engineering and comp-sci counterparts in the long term, as they develop the soft skills that employers consistently seek out. 'It's actually quite risky to go to school to learn a trade or a particular skill, because you don't know what the future holds,' Deming told me. 'You need to try to think about acquiring a skill set that's going to be future-proof and last you for 45 years of working life.' Of course, when faced with enormous uncertainty, many young people take the opposite approach and pursue something with a sure path to immediate employment. The question of the day is how many of those paths AI will soon foreclose.