Will AI agents replace junior consultants?

AI agents will replace many junior consultant tasks like research, data gathering, and drafting, but they will not replace the judgment and client relationship skills that define consulting. That is the honest answer for firm owners deciding on hiring and staffing. The headlines are loud, but the real story is more specific and more useful. This note covers what agents actually do in consulting, what they do not do, and how firms should restructure their talent model around the shift.

Will AI agents replace junior consultants?

AI agents will replace many junior consultant tasks, but not the junior consultants themselves. According to the Harvard Business Review, AI is changing the structure of consulting firms by automating junior consultant tasks. The work of research, data gathering, and drafting is being absorbed by agents, which changes what entry-level roles look like rather than eliminating them outright.

The evidence is in the hiring numbers. Entry-level postings in law, consulting, and investment banking fell 35% since 2023, according to TechTimes. That is not a small blip. It is a structural shift in how firms staff the bottom of the pyramid. The firms that adapt will run leaner entry-level teams and invest the savings in senior judgment and client work.

What tasks can AI agents do in consulting?

AI agents can handle the research, data gathering, and drafting that used to fill a junior consultant’s day. According to MindStudio, AI agents are being used to automate these exact tasks in professional services. The tools are already in production at the biggest firms, and they are good enough to change staffing decisions.

McKinsey’s internal AI tool, Lilli, is used by roughly 72% of all McKinsey consultants, about 7,000 people, according to CaseInterviewHub. That is not a pilot. It is the operating system for a large share of the firm’s knowledge work. BCG and Bain are running similar internal AI efforts, as reported in a Medium analysis of how AI is redefining strategy consulting. The pattern is consistent across the top firms.

How are consulting firms like McKinsey, BCG, and Bain using AI agents?

McKinsey, BCG, and Bain are using AI agents to automate research, data gathering, and drafting, freeing senior consultants for judgment and client work. McKinsey built Lilli, its internal AI tool, and it is now used by roughly 72% of consultants, according to CaseInterviewHub. BCG and Bain are pursuing similar internal AI initiatives, as reported in a Medium analysis of how AI is redefining strategy consulting.

The firms are also cutting headcount as the automation takes hold. McKinsey cut 5,000 jobs, according to CaseInterviewHub. The cuts are not a secret. They are the visible cost of the transition. The firms are betting that AI agents can carry the analytical load that used to require a large junior bench.

Beyond the big three, the enterprise AI agent market is full of tools built for this exact work. Ema, Microsoft Copilot, Google Vertex AI, IBM Watsonx, and Automation Anywhere are all listed among the best enterprise AI agents for consulting firms, according to Ema’s own analysis. Rasa and Sierra also appear on the best-for-enterprise lists, per Rasa’s blog. These are the platforms firms are evaluating to run their research and drafting.

What do AI agents mean for junior consultants?

AI agents mean junior consultants will spend less time on research and drafting and more time on client interaction, synthesis, and judgment. The role is being redesigned around the agent, not replaced by it. According to the Harvard Business Review, AI is changing the structure of consulting firms, and that change runs through the entry level.

The anxiety is real. Management consultants openly discuss feeling their jobs are at risk from AI, as seen in a Reddit thread on the topic. The fear is understandable when entry-level postings are down 35% since 2023, per TechTimes. But the firms that cut the most junior roles are the same firms investing in AI tools, which means the remaining junior roles will be different, not gone.

How should consulting firms adapt to AI agents?

Consulting firms should restructure their talent model around AI agents, shifting junior staff from producing analysis to interpreting it for clients. According to the Harvard Business Review, AI is changing the structure of consulting firms, and the firms that adapt will be the ones that redefine the junior role rather than defend the old one.

The upskilling challenge is the bottleneck. KPMG, one of the Big Four, is leading on AI workforce development, according to Business Insider. The firm is investing in training its people to work alongside AI agents. That is the model. Hire fewer juniors, train the ones you keep to run the agents and add the judgment the agents cannot.

• Redefine the junior role around agent supervision and client interpretation.
• Invest in upskilling so juniors learn to run AI tools like Lilli, Copilot, or Vertex AI.
• Shift the entry-level hiring bar toward communication and judgment, not just analytical grind.
• Keep human review on everything client-facing, because the agent drafts but the firm owns the relationship.

How can junior consultants stay relevant with AI?

Junior consultants stay relevant by building the skills AI agents do not have: client relationship management, synthesis, and judgment. According to BCG, 50% to 55% of jobs in the US will be reshaped by AI over the next two to three years, not replaced. The consultants who thrive will be the ones who can take an agent’s output and turn it into a recommendation a client trusts.

The practical path is to become the person who runs the agent and checks its work. Learn the tools your firm uses, whether that is Lilli at McKinsey or Microsoft Copilot at a smaller firm. Then focus on the parts of the job the agent cannot do: reading the client, framing the problem, and owning the relationship. Those skills are exactly what the Harvard Business Review says AI is not replacing.

If you are deciding how AI agents fit your firm’s staffing and growth model, the Growth Audit Call is a practical place to start. It maps your pipeline, your delivery bottlenecks, and where an agent system would create the most leverage. No pitch decks, no jargon.