Deep Dive
What are the key challenges faced by AI product managers in 2024?
AI product managers face several challenges, including the unpredictability of AI models, which makes it difficult to ensure consistent quality. This unpredictability is particularly problematic for B2B clients who require stable outputs. Additionally, many AI products are not addressing essential needs, leading to low user retention. The technical boundaries of AI also limit the functionality that can be developed, making it harder to innovate and meet user expectations.
What are the salary ranges for professionals in the AI industry?
In the AI industry, salaries vary widely based on role and experience. For entry-level positions in operations, salaries start at around 10,000 RMB per month. Product managers in large companies can expect salaries starting at 20,000 RMB per month. Technical roles, especially in algorithm development, are the most lucrative, with some fresh graduates earning up to 1 million RMB annually. Mid-range salaries for master's degree holders are typically between 400,000 to 600,000 RMB, while PhD holders can earn between 500,000 to 800,000 RMB, with top earners exceeding 1 million RMB.
How can someone with no background in AI enter the industry?
Entering the AI industry without a background can be facilitated by leveraging internships, especially for students, as companies often have lower expectations for interns. Building a portfolio of projects, even small ones like creating a talk website or sharing insights on AI through a blog or social media, can also help. Networking is crucial; engaging with professionals in the industry through social media or industry-specific groups can open doors to opportunities. Additionally, understanding the basics of AI and staying updated with the latest technologies can make a candidate more attractive to employers.
What are the new insights into the AI industry for 2024?
In 2024, the AI industry is becoming more challenging to enter, with a greater emphasis on specialized experience and the ability to deliver commercially viable products. The industry is shifting from a phase of experimentation and innovation to a focus on profitability and return on investment. Companies are now more cautious, and there is a higher demand for professionals who can demonstrate a broad understanding of AI technologies and their practical applications. Additionally, the ability to communicate complex ideas effectively to non-specialists is increasingly valued.
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Shownotes Transcript
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【本期高光】
4:31 十八岁开始经济独立，她是如何做到的？
8:54 互联网行业发展早期，用户争夺战都是怎么打的？
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