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AI salaries in the U.S. clearly reflect how hot the market is: where there are more tech companies, stronger hiring demand, and higher living costs, pay tends to be higher. For Vietnamese marketers, this is not just a tech hiring story, but also a signal of investment trends in data, automation, and AI roles that support growth.
Based on aggregated data from Simplilearn, Talent, ZipRecruiter, and reference sources cited in the original article, AI is one of the most attractive job groups in the U.S. in terms of compensation. However, salaries vary significantly by state and city, so professionals need to look at both job opportunities and the local context before deciding to relocate or negotiate pay.
AI remains a major prize in the tech labor market
The most notable point from the original article is the pace of AI market expansion. Citing Grand View Research, Simplilearn says the global AI market was valued at USD 62.35 billion in 2020 and is projected to grow at a CAGR of 40.2% through 2028. At the same time, Statista forecasts the AI software market could reach USD 126 billion by 2025, including robotic process automation, machine learning, and natural language processing.
For businesses, these figures explain why demand for AI is no longer confined to R&D departments but has spread to marketing, sales, customer service, and operations. As AI becomes productivity infrastructure, roles with related skills will continue to command premium pay.
Which states pay the highest AI salaries in the U.S.?
At the state level, New York tops the list with an average AI salary of USD 218,600 per year. It is followed by California at USD 156,000, Virginia at USD 152,407, Massachusetts at USD 150,000, and Texas at USD 150,000. The next group includes Georgia at USD 140,000, Colorado at USD 137,750, Illinois at USD 130,000, Maryland at USD 124,900, North Carolina at USD 121,875, Arizona at USD 119,594, and Hawaii at USD 115,000.
This shows that AI salaries depend not only on the industry itself, but also on the business ecosystem and local labor demand. New York and California often lead because they are home to many tech, finance, media, and startup companies with strong demand for AI engineers. Meanwhile, Texas, Virginia, and Massachusetts show that AI has become a cross-industry need rather than something limited to traditional tech hubs.
Which cities stand out most for AI income?
At the city level, salaries vary even more sharply. According to ZipRecruiter, as cited in the original article, San Jose, California leads with USD 153,420 per year, followed by Oakland at USD 151,675 and two cities in Alaska, Tanaina and Wasilla, both at around USD 151,000 per year. Hayward, California reaches USD 148,498; Jackson, Wyoming USD 148,339; Norwalk, Connecticut USD 147,948; Seattle, Washington USD 147,475; and Vallejo, California USD 147,439.
This list shows that major tech cities still hold an advantage, but some locations outside the traditional tech capitals can also offer highly competitive pay. For candidates, this is a reminder that AI salaries should be viewed alongside living costs, advancement opportunities, business density, and remote-work potential, rather than as an absolute number alone.
Why does the same job pay so differently?
The original article emphasizes that AI salary data always fluctuates over time and is affected by many variables: company size, economic conditions, the number of open positions, candidate competition, and individual experience. Professionals with more years of experience often receive higher compensation from the start.
This is a very important point for both workers and employers. An AI role in San Francisco or New York may pay far more than in many other places, but living costs, talent competition, and skill requirements are also correspondingly higher. Therefore, assessing “high pay” must go hand in hand with actual take-home income and real quality of life.
What this means for the Vietnamese market
For Vietnam, U.S. data points to three clear lessons. First, AI is shifting from a trend to a foundational capability, so companies that want sustainable growth need to invest early in data, tools, and people. Second, roles that combine marketing with AI, data analysis, and automation will become increasingly valuable because they directly improve business performance. Third, the high salaries in the U.S. market show that upgrading skills is the most viable path for Vietnamese professionals to increase income, whether working for domestic companies or remotely for international markets.
In other words, the story of AI salaries in the U.S. is not just a hiring update. It is a signal that the market is rewarding more highly the ability to create efficiency through data and artificial intelligence. For Vietnamese marketers, now is the right time to deepen their knowledge of applied AI, from content creation and customer behavior analysis to campaign optimization and omnichannel operations.
References: Simplilearn; salary data from Talent and ZipRecruiter compiled in the original article; market figures cited in the original article from Grand View Research and Statista.
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This article focuses on AI salaries tại Mỹ with a perspective for the Vietnamese market.
