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Businesses today aren't looking for people with basic AI skills, but rather high-quality AI professionals such as semiconductor engineers, data specialists, and AI researchers. These are individuals who can build AI models, deploy them in products, and operate them in real-world environments.
Technology companies are willing to offer compensation packages worth tens, even hundreds of millions of dollars over many years to attract AI talent. Meta once recruited AI expert Ruoming Pang with a compensation package valued at over $200 million over several years. But after only a few months, he switched to OpenAI.
Noam Shazeer, Google's Vice President of Engineering and one of the key contributors to the creation of large language models and co-leader of the Google Gemini model, has decided to leave Google to join OpenAI.
This reflects the fierce competition among leading AI companies to attract the best minds.
Meanwhile, Microsoft is looking to acquire AI startups to bolster its AI talent pool and further its ambitions to develop its own advanced AI models.
OpenAI and Anthropic even sought to acquire service companies in order to quickly recruit hundreds of AI deployment engineers for their businesses.
In the global AI race, data and semiconductor chips are the foundation, but talent is the most scarce resource. From offering multi-million dollar salaries to waiving college degree requirements, tech corporations are doing everything they can to gain an advantage in the AI talent hunt.
Source: https://vtv.vn/cuoc-dua-san-tim-nhan-luc-ai-100260619190007268.htm








