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Home » This Career Needs Human Intelligence That AI Cannot Replace — and It Pays Over $100,000 Per Year
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This Career Needs Human Intelligence That AI Cannot Replace — and It Pays Over $100,000 Per Year

News RoomBy News RoomJanuary 25, 20262 Views0
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You can barely go a day without hearing about how artificial intelligence is reshaping the world. Yet, while the headlines often warn that robots are coming for our jobs, the economic reality highlights a critical dependency: algorithms are useless without people to guide them.

The Bureau of Labor Statistics (BLS) recently released its employment projections through 2034, and the numbers reveal a massive surge in demand for the workers required to make sense of this new digital landscape.

Data scientists are now projected to be the fourth-fastest-growing occupation in the U.S. economy. While much of the workforce braces for automation, this role is expanding rapidly precisely because businesses are scrambling to integrate new technologies that require human oversight and interpretation.

A 34% surge in 10 years

The growth rate here is staggering compared to the rest of the job market. The BLS projects that employment for data scientists will jump by 33.5% between 2024 and 2034. To put that in perspective, the average growth rate projected for all occupations across the economy is just 3.1%.

This percentage translates to real opportunities rather than just statistical noise.

The fastest-growing job — wind turbine service technicians — is growing by nearly 50%, but it is a relatively small field that will only add about 6,800 jobs total. In contrast, the data science field is expanding by 82,500 new jobs, suggesting a structural shift in how companies operate rather than just a niche trend.

What is fueling the fire

This explosion in demand isn’t happening by accident. It is being driven primarily by the need for companies to build and refine AI models. As businesses collect increasing amounts of data, they need experts who can conduct sophisticated analysis and actually put that information to use.

It is not enough to simply have data; organizations need to integrate applications into their daily business practices. That requires human expertise. The projection suggests that as long as the volume of data available for analysis continues to grow, the need for professionals who can interpret it will follow suit. Essentially, as AI becomes more complex, the need for human pilots to steer these systems increases.

The paycheck reflects the importance of this role: The median annual pay for data scientists is $112,590, according to the BLS.

A broader tech expansion

Data science isn’t the only winner here. It is part of a larger computer and mathematical occupational group projected to grow 10.1% overall — more than three times the rate of the general economy.

Within this group, other roles are also seeing significant gains, highlighting the same trend.

  • Information security analysts: Projected to grow by 28.5%. As companies digitize, the frequency and severity of cyberattacks and data breaches are expected to rise, creating an urgent need for human defenders. The median annual pay is $124,910.
  • Operations research analysts: Expected to see a 21.5% bump. Median annual pay of $91,290.
  • Actuaries: Projected to grow by 21.8%. The median annual pay is $132,500.

Navigating the shift

To understand the value of these skills, you have to look at where the economy is shedding jobs. The same technological forces driving demand for analysts are eroding demand for routine work.

The office and administrative support occupational group is projected to lose more jobs than any other group, declining by 3.9%. Similarly, sales occupations are expected to drop by 2%.

The BLS notes that automated systems and AI are expected to limit demand for these workers, particularly in routine calls, chats, and administrative tasks.

For workers, investors, and families planning for the future, the signal is clear. The labor market is placing a massive premium on the ability to work with AI solutions and interpret complex data sets. While technology displaces workers in administrative or production roles, it is actively creating a vacuum for analytical talent.

We are looking at a decade where the ability to translate raw numbers into business strategy will be one of the most valuable skills in the marketplace.

If adapting to a changing job market means finding more flexible work, FlexJobs lets you explore verified part-time and remote roles across industries.

Read the full article here

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