Mark Cuban's advice to fresh graduates about AI employment has gone viral. The investor stated bluntly: if you don't learn AI now, you'll have to queue for jobs in the future.
He suggests focusing on four directions:
**1. AI Basics** - It may seem simple, but those who master the basics have already outperformed 80% of job applicants. If you know how to use ChatGPT and understand workflow automation, you can appear "very professional" in the company.
**2. Prompt Engineering** - Asking questions is more valuable than programming. Cuban said if he could do it all over again, this would be the first thing he learns. The reason is very practical: many small companies don't have the budget to maintain an AI team, but are willing to spend money on professional Prompt services.
**3. Machine Learning** - This area has high demand, but the market lacks talent. Financial risk control, medical diagnosis, fraud detection... major companies are spending money to hire such people.
**4. AI Ethics** - Often overlooked, but crucial. Those who understand compliance, privacy protection, and can help companies avoid legal risks are the ones who are truly valuable.
The bottom line is: take advantage of the fact that it is still a blue ocean and get on board quickly. In three years, when these skills become basic operations, it will be too late.
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Mark Cuban's advice to fresh graduates about AI employment has gone viral. The investor stated bluntly: if you don't learn AI now, you'll have to queue for jobs in the future.
He suggests focusing on four directions:
**1. AI Basics** - It may seem simple, but those who master the basics have already outperformed 80% of job applicants. If you know how to use ChatGPT and understand workflow automation, you can appear "very professional" in the company.
**2. Prompt Engineering** - Asking questions is more valuable than programming. Cuban said if he could do it all over again, this would be the first thing he learns. The reason is very practical: many small companies don't have the budget to maintain an AI team, but are willing to spend money on professional Prompt services.
**3. Machine Learning** - This area has high demand, but the market lacks talent. Financial risk control, medical diagnosis, fraud detection... major companies are spending money to hire such people.
**4. AI Ethics** - Often overlooked, but crucial. Those who understand compliance, privacy protection, and can help companies avoid legal risks are the ones who are truly valuable.
The bottom line is: take advantage of the fact that it is still a blue ocean and get on board quickly. In three years, when these skills become basic operations, it will be too late.