What AI Means for Future Scientists

It is a cry that has been repeated for centuries now— ‘technology will take my job.’ This is a sentiment that is certainly not to be taken lightly. History shows that technology does indeed change the nature of work. Perhaps the most dramatic example of this was the industrial revolution during the late 18th and early 19th centuries that saw Europe and America transform from agrarian states to mechanized giants powered by coal and whale oil.

A New Revolution?

Today a quieter but no less drastic shift is taking place as mobile technology, blockchain, and artificial intelligence (AI), among other digital technologies, change the nature of work for many. While a first reaction might be to worry for the safety of human jobs, it is more accurate to say that technology changes the nature of certain jobs.

For example, ATMs did not remove the job of the bank teller, it simply altered their primary role from dispensing cash, to opening accounts and other clerical tasks.

The AI Effect

Perhaps the most disruptive, and ethically vague, of these new technologies is AI. One big concern related to AI is how it will affect jobs that require advanced quantitative skills, such as those in the scientific fields. Obviously, the scientific fields encompass a great deal of jobs requiring an equally diverse set of skills and qualifications. For the purposes of this article, we are discussing jobs that require higher degree such as an MS/Ph.D, or a medical qualification such as an MD.

Beginning with the assumption that these types of jobs are more at risk of artificial intelligence automation. Jobs in scientific fields are by and large more quantitative than their counterparts in the humanities or social sciences. Quantitative work is often formulaic by nature, and therefore capable of being done by highly-intelligent computers. Certain lab processes such as component testing are already being done by machines.

However, many scientific fields also require highly specific kinds of qualitative and ethical reasoning as well. This can most easily be seen in the medical fields, where a certain amount of humanity is required to diagnose and understand medical tests.

What it Means for Science

A recent article published by a career radiologist for The Scientist magazine highlights the delicate human decisions he must make every day, decisions that, at least currently, artificial intelligence is incapable of making. He demonstrates how AI is very good at identifying the fact based “what” questions, but not the judgement based “why’s.”

These are insights based on human experience and understanding that are incredibly difficult if not impossible to program. This is the human strength of the sciences and leveraging, cultivating this advantage should become a priority for educators and institutions in the near future.

Emphasizing the human side of the sciences and making it a bigger part of the field, will help prevent AI from automating science field jobs. And it is not just the sciences; Re-discovering the humanities has been a growing movement in areas such as business as well, where fields like ethical philosophy and creative design thinking have become popular to not just avoid automation, but to inject some meaning and, well, humanity into the field. At the end of the day, machines are not human and, at least for now, there are somethings that humans are just better at.

For the latest news, videos, and podcasts in the Science Industry, be sure to subscribe to our industry publication.

Follow us on social media for the latest updates in B2B!

Twitter – twitter.com/ScienceMKSL
Facebook – facebook.com/marketscale
LinkedIn – linkedin.com/company/marketscale

Follow us on social media for the latest updates in B2B!

Image

Latest

data center design
Applied Digital’s Data Center Design for a 100 MW AI Factory Built from the Ground Up
July 2, 2025

AI workloads are redefining the limits of data center design and infrastructure. Legacy data centers, built for traditional co-location, cannot handle the density, thermal demands, or power dynamics of accelerated computing. The AI boom has upended the data center sector, forcing a rapid shift to liquid-cooled racks as facilities pivot from sub-10kW racks to…

Read More
Commerce media
A Look at the Rise of Commerce Media Networks: How Nift Helps Brands Own How Their Message Shows Up
July 2, 2025

As traditional digital advertising struggles to retain consumer trust, brands are exploring new, more authentic ways to connect with shoppers. Platforms like commerce media networks, which weave together commerce, content, and data, are emerging as powerful tools in this shift. Research from MG2 Advisory reveals that only about 37% of consumers feel brands genuinely…

Read More
Hospitality leadership
Heart-First Hospitality Leadership: How Saying ‘Yes’ Transforms Guest Experiences, Boosts Staff Morale, and Drives Business Results
July 2, 2025

As the hospitality industry emerges from years of pandemic-driven upheaval, hospitality leadership is evolving to meet new challenges. Leaders are looking for new ways to retain staff, elevate guest satisfaction, and drive revenue without burning out their teams. One trend gaining traction is the power of “Yes”: empowering employees to say yes more often,…

Read More
civic leadership
Mayor Gerard Hudspeth’s Civic Leadership Journey: What Politics Teaches About People
July 2, 2025

What does a mayor learn about human nature? In this episode of Professional Quotient: Conversations that Build Equity, host Jason Winningham sits down with Gerard Hudspeth, longtime mayor of Denton, Texas, and a respected figure in civic leadership. Drawing from his years in public service, Hudspeth explores how leading a city reveals the core…

Read More