EY Career Residency Program: Paid Training for Entry-Level Jobs

What Is EY’s Career Residency Program?

The Big Four firm is reimagining the traditional path into professional services by introducing a paid Career Residency Program designed to address what it describes as a “broken first rung” on the career ladder for entry-level talent. Rather than relying on the conventional eight-week internship model, EY is piloting an eight-to-12-month paid training program that aims to equip young professionals with the foundational skills needed to thrive in an AI-driven workplace.

According to EY, as first reported by Business Insider, the program’s first cohort is scheduled to launch in January 2028. The firm acknowledges that the entry-level career landscape has shifted dramatically, and that early-career professionals now require more hands-on, strategic, and developmental training than a short internship can provide. The program is built around this recognition, offering participants structured learning in areas such as:

• Critical thinking
• Curiosity and inquiry
• Professional judgment
• AI fluency

In addition to these core competencies, residents receive hands-on coaching and mentorship throughout the duration of the program, giving them direct exposure to the expectations and realities of working in a major professional services firm.

A Higher Starting Point: Analyst-Level Entry

One of the most notable features of the Career Residency Program is the career trajectory it offers upon completion. The program is designed specifically for the assurance track, and graduates are positioned to enter the firm at a higher starting role than is typical for new hires: the analyst level.

This represents a meaningful departure from the standard entry-level pathway, where new professionals often begin in associate or junior roles and work their way up. By contrast, successful completion of the residency could allow participants to bypass that initial step and begin their careers at a more advanced stage.

It is important to note, however, that while job offers into EY may be extended at the conclusion of the program, there is no guarantee of employment as part of the residency. The program is a training and development opportunity rather than a direct hiring pipeline.

What Does an Assurance Analyst Earn at EY?

For those considering the program, understanding the potential financial trajectory is useful. According to salary data from Glassdoor, the average pay for an EY assurance analyst in the United States ranges between $76,000 and $102,000 annually. The average base pay for this role is approximately $85,000 per year.

These figures provide a helpful benchmark for what graduates of the Career Residency Program might expect if they are offered and accept a full-time analyst position at EY following completion of their training.

By extending the training period and embedding AI fluency, critical thinking, and professional judgment into the curriculum, EY is betting that a longer, more immersive onboarding experience will produce better-prepared, more confident professionals who are ready to contribute meaningfully from day one. For entry-level job seekers navigating a competitive and rapidly evolving market, the program represents a new kind of opportunity — one that prioritizes deep skill development over a brief corporate introduction.

Employers Redesign Entry-Level Jobs Around AI

The shift toward AI in the workplace is undoubtedly a positive development, and the data supports this momentum. According to the National Association of Colleges and Employers (NACE), employer demand for AI proficiency among entry-level candidates has tripled since fall 2025. In recent reporting, I highlighted how forward-thinking organizations such as BrainLabs are actively restructuring their corporate ladders. Their goal is to intentionally carve out space for AI integration, ensuring that today’s graduating class—and those to come—are not left behind in a rapidly evolving job market.

This technological shift is effectively sorting employers into two distinct camps with very different approaches.

On one side are those who take the path of least resistance. These organizations opt for the easy route by simply eliminating positions to cut costs. Their focus is narrow, often disregarding long-term sustainability, workforce planning, or strategic growth. For them, the sole objective is reducing the expense of human labor, frequently at the direct expense of both their current employees and the future talent pipeline.

On the other side are employers like EY, who see AI not as a threat, but as an opportunity. They view it as a catalyst for redefining job roles and cultivating the next generation of professionals. These organizations understand that AI is far from a replacement for human workers. Instead, it serves as a powerful tool that can accelerate professional development. With the right skills and training, AI empowers both current and future employees to perform at their highest level. This is the trajectory that all responsible and ethically minded employers should be pursuing right now.

Observing institution-wide initiatives like EY’s dedication to early-career professionals highlights just how rapidly the nature of work is transforming.

Even in a hypothetical scenario where AI had not automated the repetitive, junior, and administrative tasks typically associated with entry-level roles, the fundamental need to reimagine early careers would persist. The modern workforce demands a new paradigm for professional growth. It requires a deliberate focus on cultivating essential human skills such as critical thinking, adaptability, communication, relationship-building, and sound judgment.

These competencies cannot be left to chance or developed incidentally. They must be intentionally cultivated through thoughtfully designed programs that place emerging talent in close proximity to decision-making and revenue generation. This hands-on approach, reinforced by direct coaching, ensures that the next generation of leaders is equipped not just with technical know-how, but with the durable skills necessary to navigate an increasingly complex and AI-augmented workplace.