Will AI wipe out the first rung of the career ladder?

career ladder

The AI Disruption and The Crisis of Employment Entry Level

With the rapid changes in the workplace, Artificial Intelligence (AI) has turned from a visionary technology into a contemporary reality. It has positively impacted every sphere of the economy by automating monotonous tasks and improving efficiency. However, as AI continues to transform the workforce, an ominous question prevails: Will AI eliminate the lowest step of the career ladder –the entry-level job?

The apprehension does have a foundation. Entry-level roles – initially regarded as a pivotal cornerstone to a career path— are being systematically replaced by computer systems or software platforms. These positions are essential for young professionals, skilled professionals, career changers, and individuals without advanced educational qualifications. The loss of these opportunities would result in profound, long-standing socio-economic difficulties.

Positions with No Higher Requirements. The Advancement of Accountancy and Audit Purpose: An Unsolved Problem

The role of a data acquisition operator has maintained attributes of low-skill occupations, meriting minimum wage or close to it. The contemporary developmental objectives of the European Union stress creating a knowledge-based society, but the strategy is inversely predictive. One of the principles of the European employment strategy is to simplify moving attachable Kouč key competence. Beyond that, low

An introduction to the basics of modern accounting systems provides considerable value, and therefore, university programs should include it.

For ages, administrative assistants, junior analysts, customer service representatives, and data entry clerks have served as gateways to the professional world for millions. However, with advancements in AI technology, these entry-level positions are being redefined or eliminated. 

AI and Automation — Repetitive Work Functions Being Targeted

In AI’s focus on entry-level jobs, the ability to perform repetitive or rote work is most telling. Consider the following tasks:

Sorting and analyzing information is performed by junior analysts in seconds

Scheduling and correspondence are handled by entry-level assistants with greater efficacy

First contact for many firms is handled by customer service chatbots.

Reports, invoices, and emails are also generated automatically without human intervention.

In this case, the business stands to benefit in terms of cost as well as efficiency. Aspiring professionals will find it harder to gain that ever-elusive first experience.

Which Entry-Level Jobs Are Most at Risk?

Up to 30% of basic office work functions can be automated by 2030, according to a McKinsey report released in 2023. The following list exemplifies the entry-level positions most vulnerable to automation:  

– Customer service representatives and support (chatbots and AI-driven IVRs).

– Data entry clerks (OCR and RPA technologies).

– Basic IT support (AI helpdesks).

– Financial Assistants (accounting AI and automated bookkeeping).

– Receptionists (virtual assistants and kiosks).

These roles are particularly vulnerable to automation due to the high predictability and entrenched procedural workflows associated with them.

The Experience Paradox: No Job Without Experience, No Experience Without Job

Due to a lack of available entry-level positions, young professionals now have to deal with a perplexing paradox: how to gain experience when the jobs that are supposed to help you achieve that no longer exist?  

This issue is made worse by employers now insisting on relevant experience even for entry-level roles. Tasks once assigned to interns or junior employees are now automated, which reduces opportunities to learn in actual work environments.

Is the Ladder Broken—or Just Changing?

It would be an oversimplification to say that AI is creating a void of early-career positions. In most instances, AI is augmenting these roles instead of eliminating them.  

For instance:

Content calendars are authored manually no longer, as entry-level marketers are now expected to know how to utilize ChatGPT and SEMrush.  

Junior data analysts are tasked with sophisticated data interpretation of output from machine learning algorithms, instead of repetitive cleansing and sorting of spreadsheets.  

An HR assistant might partner with resume filtering software, AI recruitment systems, and ATS, instead of performing these mundane tasks manually.

The ladder is not broken; it exists in a different form. It has not been destroyed, but rebuilt—the first rung requires more adaptability, strategic foresight, and tech-savvy skills than ever.

Upskilling: The New Entry-Level Requirement

To remain competitive in the job market, aspiring professionals would need to be more focused and intentional than previous generations, as the prerequisites to stand out today require accelerated skill development.

A modern set of skills is now comprised of:

Digital literacy and proficiency in AI tools.

Data interpretation and visualization.

Critical human thinking and judgment.

Education- Emotional intelligence, an area AI technologies lack.

Creative problem-solving within AI-embedded frameworks.

Access to skills-based training is being revolutionized by platforms like Coursera, EdX, and LinkedIn Learning. These have freely available or low-cost courses. However, the lack of technology or available time in certain demographics could expand socioeconomic gaps.

Are New Entry-Level Jobs Being Created?

Yes. Even new roles get created at the entry level. Some of these newer roles include: focusing on improving machine learning algorithms, AI trainers and annotators, Junior AI prompt engineers, which is a recent role, content curators and moderators who collaborate with automated systems, and junior cybersecurity analysts responsible for data and digital system security.  

Support roles in remote and hybrid work ecosystems.

The listed positions may often focus more on the ability to adapt and supervise, as well as the collaboration between AI and humans, which is greatly different from the required set of competencies to perform these duties.

What Can Employers and Governments Do?

A coordinated response is critical to protect the starting point entry-level positions for millions of workers from the onslaught of AI:

Employers should:

Integrate mentorship and instructional components into existing positions

Develop structured job shadowing or internship opportunities

Adopt hybrid human-AI models instead of full automation for junior roles

Governments should:

Subsidize upskilling programs

Create apprenticeships for the AI age in collaboration with tech companies

Enforce corporate social responsibility for employment retraining programs

Educational institutions must:

Teach contemporary ethics and AI technologies

Work with industry partners to enhance student employment

Instill essential values of adaptability and digital citizenship

The First Rung Isn’t Gone—But It’s Higher Now

The impact of AI on entry-level positions is profound. While it may feel like the old starting roles have vanished, it is more to the point to say they are transforming. The first rung of the career ladder continues to be there, but now requires greater skills, proactive initiative, and a different attitude.

Instead of lamenting the potential loss of these positions, what we really ought to be thinking about is how to rethink the concept of entry-level in an economy where AI is prevalent. If individual stakeholders, organizations, and companies actively pursue this goal, it is possible not only to defend that critical initial step but to enhance and fortify it in a manner that renders it more adaptable to future changes.