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Nansen CEO Alex Svanevik Reveals Jobs Hardest to Automate

Artificial intelligence is driving widespread anxiety over workforce automation, yet fresh data from the Pew Research Center reveals that global apprehension varies sharply by region, with workers in South Korea, Australia, and the United States expressing the highest…

Nansen CEO Alex Svanevik Reveals Jobs Hardest to Automate

Artificial intelligence is driving widespread anxiety over workforce automation, yet fresh data from the Pew Research Center reveals that global apprehension varies sharply by region, with workers in South Korea, Australia, and the United States expressing the highest levels of concern over future job losses.

According to a Pew Research Center survey published September 17, respondents in 34 out of 37 surveyed countries expect AI to eliminate more jobs than it creates over the next two decades. Public unease reached 76% in Australia and South Korea, while 71% of respondents in the United States shared the same outlook.

Microsoft Research Evaluates Occupational Exposure

As public concern mounts, tech companies are mapping out which sectors face the highest exposure to generative tools like ChatGPT and Copilot. A Microsoft Research study ranks 40 occupations most vulnerable to advanced AI, alongside 40 roles considered to have minimal exposure.

Kiran Tomlinson, a senior researcher at Microsoft, explained that the study highlights where AI might alter workflows rather than eliminate positions outright. “Our study explores which job categories can productively use AI chatbots,” Tomlinson stated.

The study highlights customer service representatives—accounting for nearly 2.86 million workers—as the top role facing heavy AI applicability. Other vulnerable categories include writers, authors, journalists, editors, translators, interpreters, proofreaders, sales and public relations professionals, web developers, data scientists, and business analysts.

However, researchers caution against assuming high task overlap equates to direct job destruction. The study draws a parallel to Automated Teller Machines (ATMs), noting that while machines automated bank teller tasks, overall teller employment actually increased as operational costs dropped and human workers pivoted to customer relationship management.

Physical Presence and Human Touch Protect Certain Sectors

While software and administrative tasks face rapid integration, Alex Svanevik, co-founder and CEO of blockchain analytics firm Nansen, argues that occupations requiring physical presence and human interaction remain difficult to automate.

Speaking on The Sujal Show podcast on September 19, Svanevik emphasized that healthcare and caregiving roles rely heavily on being physically in the room. While AI can assist a nurse with diagnosis or care planning, the job remains fundamentally embodied, requiring direct human interaction and trust for roles like physiotherapists, caretakers, and massage therapists.

Education could experience a similar transformation. Svanevik expects personalized AI tutors to proliferate rapidly, but argues that children will still require human supervision and mentorship. Instead of replacing teachers, AI could shift their responsibilities toward individualized guidance, potentially creating a model with one mentor for every five students instead of a single teacher managing twenty-five.

Live entertainment similarly retains strong resilience against automation. Svanevik noted that theater productions, live concerts, and sporting events depend on human performers, suggesting that robotic performers will likely remain additive rather than displacing artists.

Microsoft’s Least Impacted Occupations

Mirroring these assessments, the Microsoft Research study identifies numerous roles with minimal AI exposure, focusing on manual labor, infrastructure operations, and hands-on trades.

Nansen CEO Alex Svanevik Reveals Jobs Hardest to Automate
Photo: yahoo.com
Vulnerable Occupations (High AI Exposure) Resilient Occupations (Minimal AI Exposure)
Customer Service Representatives Automotive Glass Installers and Repairers
Writers, Journalists, and Editors Cement Masons and Concrete Finishers
Sales and Public Relations Specialists Nursing Assistants and Phlebotomists
Data Scientists and Business Analysts Roofers and Continuous Mining Machine Operators

Roles such as automotive glass installers, cement masons, vehicle cleaners, and oil and gas derrick operators require physical precision and hands-on manipulation that current AI systems cannot replicate.

Broader Industry Warnings and Economic Shifts

The debate over automation extends beyond software and analytics. Microsoft co-founder Bill Gates warned on August 26 that AI could rapidly reshape law, customer service, medicine, software engineering, and manufacturing within a decade. Gates cautioned that without adequate economic policies, workplace shifts could result in a significantly reduced total volume of jobs.

Nansen CEO Alex Svanevik Reveals Jobs Hardest to Automate
Photo: finance.yahoo.com

Despite these warnings, researchers emphasize that downstream business impacts remain inherently unpredictable. Whether AI acts strictly as an enhancer or triggers widespread headcount reductions across professional sectors will depend heavily on corporate strategy and regulatory policy in the coming years.

About the author: Anika Shah - Technology

MSc in Computer Science, senior reporter. Anika focuses on AI ethics, cybersecurity, and emerging hardware—frequently moderating panels at CES and Web Summit. “Anika Shah decodes tech breakthroughs and startup disruption shaping tomorrow’s digital landscape.”