AI starts performing entry-level work

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Rethinking Entry-Level Work How AI is Revolutionizing Junior Roles

The world of work is undergoing a significant transformation, driven by the increasing presence of artificial intelligence (AI). In this article, we'll explore how AI is revolutionizing entry-level jobs, particularly in the field of accounting.

A Quiet Shift

PwC, one of the Big Four accounting firms, has started training junior accountants to manage AI systems that perform routine tasks such as data gathering and processing. This shift is not just a minor adjustment but rather a fundamental change in how we define work.

New Roles, New Skills

According to Jenn Kosar, PwC's AI assurance leader, new hires will be expected to take on higher-level responsibilities within three years of joining the company. They will be trained to oversee AI systems, exercise judgment, and engage in critical thinking from day one. This is a significant departure from traditional junior roles that focus on executing tasks.

Automation Takes Over

Tasks such as data entry, paperwork, and spreadsheet management are being automated, freeing up human resources for more strategic and high-value activities. This shift from hands-on execution to hands-on leadership will require professionals to develop new skills and competencies.

Impact Across Industries

The impact of AI on junior roles is not limited to accounting. The Financial Times reports that generative AI and remote work are transforming training models across professional fields, including law firms, investment banks, and audit departments. Young recruits can no longer rely on repetition or office shadowing for foundational learning; instead, they require structured training that integrates AI tools with human mentoring.

The Upside

The benefits of this shift are clear new professionals gain exposure to strategic thinking earlier in their careers, allowing them to develop critical skills such as negotiation and professional skepticism. AI frees up time and space for deeper conversations, accelerating learning and development.

The Risks

However, there are also significant risks associated with the automation of junior roles. Without the repetition and hands-on experience that comes with manual data entry, young professionals may struggle to build muscle memory and develop an intuitive understanding of what is normal, abnormal, or requires further investigation.

New Services and Business Models

The shift towards AI-driven junior roles forces organizations to rethink their business models and services. PwC, for example, has developed new services such as assurance for AI that help clients ensure the responsible use of AI tools. The company is also exploring outcome-based pricing models rather than hourly billing.

The Future of Entry-Level Roles

Entry-level roles will evolve or shrink in response to the increasing presence of AI. Fewer straightforward jobs mean fewer people starting their careers in traditional ways, raising questions about equity and access to training opportunities.

Conclusion

AI presents an opportunity for a more profound learning experience from day one. By building scaffolding, feedback loops, and shared learning spaces, we can create an environment where professionals develop new skills and competencies that are essential for success in the digital age.

About the Author

Rey Lugtu is the founder and CEO of Hungry Workhorse, a digital, culture, and customer experience transformation consulting firm. He is a fellow at the US-based Institute for Digital Transformation and teaches strategic management and digital transformation in the MBA Program at De La Salle University.

Matters for Data Analysts in 2025

As AI continues to transform the job market, data analysts must adapt to new tools and techniques. In this article, we've explored how AI is revolutionizing junior roles in accounting and beyond. To stay ahead of the curve, data analysts should focus on developing skills such as critical thinking, professional skepticism, and negotiation, while also being prepared to pivot into new areas, such as machine learning and data visualization.

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Edward Lance Arellano Lorilla

CEO / Co-Founder

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