Coursera backs co-founder Andrew Ng's new AI education firm with $100 million investment
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At a glance
- Andrew Ng, co-founder of Coursera, launched a new AI education startup called LearnVector.
- Coursera is backing LearnVector with a $100 million investment, acquiring a one-third stake.
- LearnVector aims to equip white-collar workers with new skills to remain relevant as AI automates tasks, countering fears of job replacement.
Andrew Ng, a co-founder of the online learning platform Coursera, has announced a new artificial intelligence startup named LearnVector. The company focuses on teaching white-collar workers new skills to adapt to the evolving professional landscape shaped by AI.
Coursera is leading an investment of $100 million in LearnVector, securing a one-third ownership stake in the new venture. Ng, a prominent computer scientist, believes the common notion that AI will replace human workers is misguided. Instead, he posits that AI will significantly accelerate human development and productivity, creating new demands for skills.
AI will be the greatest force in accelerating human development if we do it right, and rather than ... creating a job apocalypse, I think AI will make people a lot more productive and create fresh demand for skills.
Ng stated, "AI will be the greatest force in accelerating human development if we do it right, and rather than ... creating a job apocalypse, I think AI will make people a lot more productive and create fresh demand for skills." He is currently hiring engineers for LearnVector, which plans to offer its first courses early next year, utilizing AI foundation models from various third-party providers.
Coursera's investment values LearnVector at approximately $300 million. The online learning platform will partner with LearnVector to jointly develop and sell courses. Ng expects LearnVector to offer individualized courses that adapt to a student's progress and will target corporations, governments, and higher education institutions for sales. This initiative comes as companies increasingly attribute job cuts to AI-driven efficiencies, though Ng emphasizes that while some tasks will be automated, ample work will remain for humans who adapt their skill sets.
There will be a need for people to shift their skill mix as AI automates a subset of work, but still leaves plenty of work for people to do.
Originally published by CNA. Summarized and contextualized by our editorial team with added local perspective. Read our editorial standards.