Author: Taylor Warfield, Former Bain Manager and interviewer

Last Updated: October 22, 2026

 

AI in consulting recruiting now runs in two directions: firms use AI to screen your application and score your early assessments, and firms like McKinsey test how well you use AI during the interview itself. Knowing which stages are automated, where AI is banned, and where it is expected decides whether you advance or get cut before a human ever reads your name.

 

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Key Takeaways

 

Consulting firms use AI to sort, score, and assess candidates long before a human review, and the top firms have started testing whether you can work alongside AI during the interview.

 

• McKinsey, BCG, and Bain all run AI-supported screening, and each firm says people make the final call

 

• McKinsey bans AI tools inside its Solve assessment and warns that breaking the rule can cost you an offer

 

• BCG publishes its hiring AI rules and lets you ask your recruiter how AI was used on your application

 

• McKinsey began piloting a final round in January 2026 where you solve a case using its internal tool, Lilli

 

• Google, Cisco, and McKinsey all restored in-person rounds after AI-assisted interview cheating spread

 

• Candidates who live in New York City get at least 10 business days of notice before an automated tool assesses them

 

What Is AI in Consulting Recruiting?

 

AI in consulting recruiting is the use of machine learning and generative AI by firms to source, screen, assess, and communicate with candidates, plus the newer practice of testing how candidates themselves use AI. It covers resume parsing, chatbot cases, scored video interviews, and AI-collaboration exercises. Every major firm states that humans still make the hiring decision.

 

Most articles on this topic are written for recruiters. This one is written for you, because the two uses of AI pull in opposite directions and you need to handle each one differently.

 

Type of AI use	What happens	Where you meet it
AI evaluates you	Software parses, ranks, and scores your application and early assessments before a recruiter opens the file	Resume screen, aptitude tests, chatbot cases, recorded video interviews
AI is what gets tested	The firm hands you an AI tool and watches how you prompt it, challenge it, and apply its output to the client	Final-round AI-collaboration exercises
AI is banned outright	Outside tools are prohibited and detection can end your candidacy	Timed online assessments and live interviews

 

Where Does AI Screen You Before a Human Sees Your Application?

 

AI touches four stages before any consultant meets you: the resume screen, the aptitude or behavioral assessment, the chatbot case, and the recorded video interview. Each one produces a score or a rank that shapes what a recruiter sees first.

 

Start with the resume. Large firms run high application volumes through enterprise applicant tracking software, so your document gets parsed into fields before anyone reads a sentence of it. A two-column template or a design-tool export with no readable text layer is the single most common reason a strong candidate fails the consulting resume ATS screen.

 

If you want a second set of eyes on formatting and content before you submit, my resume review service gives you unlimited revisions with a 24-hour turnaround.

 

BCG is unusually open about what happens next. On its careers site, the firm says AI-assisted screening tools highlight experience and potential in an application but never make decisions or eliminate candidates, and that experienced recruiters review every application. BCG also uses AI to source candidates, build pipelines, and draft interview questions so recruiters spend more time on the conversation.

 

The assessment stage is where automation gets heavier. The McKinsey Solve game and the various online aptitude tests generate scores with no human in the loop at all. McKinsey states that Solve itself relies on AI methods to vary each scenario so that no two candidates receive the same combination of parameters and data.

 

BCG stacks three automated screens in front of its live rounds. The Pymetrics test measures behavioral traits through a set of short games, and the recorded video interview captures your answers with no re-recording allowed.

 

The third screen is Casey, a chatbot that walks you through a full business case and ends with a short recorded recommendation. Some offices use it in place of a phone screen entirely, which means a piece of software decides whether you ever speak to a human at BCG.

 

Bain uses a one way video interview in parts of its process, and the Big 4 lean heavily on situational judgment and numerical reasoning tests that cut a large share of applicants automatically. The pattern holds across the industry: the earlier the stage, the more likely a machine is grading it.

 

Stage	How AI is used	Who decides
Sourcing	Surfaces candidate profiles and matches people to open roles	Recruiter
Resume screen	Parses your document into fields, then ranks and flags relevant experience	Recruiter, informed by the ranking
Online assessment	Generates and scores the test, often with randomized scenario parameters	Automated score
Chatbot case	Runs the case, times each question, and grades structure and math	Automated score
Recorded video interview	Captures and scores answers with no interviewer present and no retakes	Automated score plus human review
Live case and fit rounds	Interview questions may be AI-drafted, but the evaluation is human	Consultants and partners

 

Are Consulting Firms Testing Whether You Can Use AI?

 

Yes. In January 2026, McKinsey began piloting a final-round component in which candidates work through a case using Lilli, the firm's internal generative AI platform, while an interviewer watches. The exercise scores curiosity and judgment rather than prompt engineering, so the question is not whether the tool gives a good answer but whether you can challenge it and put it in the client's context.

 

The scale of AI inside the firm explains the change. At CES in January 2026, McKinsey chief executive Bob Sternfels said the firm runs roughly 25,000 AI agents alongside its 60,000 people, up from about 3,000 agents eighteen months earlier, and more than 75% of employees use Lilli every month. Hiring people who cannot work with those agents makes no sense.

 

This is a real shift in what gets rewarded. For twenty years the consulting bar was independent analysis under pressure, and the McKinsey AI interview adds a second bar: can you direct a tool, catch its mistakes, and still own the recommendation.

 

McKinsey also built the practice tool. In April 2026 the firm launched a free AI practice environment giving applicants for entry-level business analyst and associate roles unlimited attempts at the quantitative case they will face, explicitly to help candidates who cannot afford coaching that runs $200 to $500 per hour. Marie Christine Padberg, the firm's global talent attraction co-leader, told Business Insider it also targets nerves, since doing math is one thing and doing it while somebody watches is another.

 

Bain has signaled a similar direction. Ron Kermisch, Bain's global head of talent acquisition, has spoken publicly on the firm's own careers channel about how AI is reshaping who Bain hires and what it looks for in candidates. Reports point to an AI-enabled interview component arriving in 2026, though Bain has not published a format, so treat the specifics as unconfirmed.

 

When Can You Use AI in Consulting Recruiting, and When Is It Banned?

 

The rule is simple: AI is fine for preparation and banned during evaluation unless the firm explicitly invites it. Firms have converged on this line because it mirrors client work, where consultants use AI tools daily but are still personally accountable for the answer.

 

McKinsey's published Solve rules are the clearest statement in the industry. Candidates are not permitted to use "applications, websites, AI tools, or pre-prepared notes" during the assessment, and the firm states that violations may result in exclusion from consideration, a rescinded offer, restrictions on future applications, or legal action.

 

One detail in that document deserves more attention than it gets. McKinsey warns that candidates may be asked at random to complete an additional task in person or to explain the logic behind their answers. If your Solve score and your live reasoning do not match, the gap is visible immediately.

 

BCG takes the opposite tone on preparation. Its careers guidance on using AI in your application encourages candidates to use AI to generate ideas, organize their thinking, and find sources, while warning against letting AI misrepresent them, relying only on its output, or giving up their own voice.

 

Stage	AI allowed?	What to keep in mind
Researching firms and roles	Yes	Verify anything AI tells you about a firm's process, since model training data lags actual recruiting changes by months
Drafting your resume and cover letter	Yes, with limits	BCG says overuse makes applications feel generic and can create inconsistencies interviewers catch later
Case interview practice	Yes	McKinsey now supplies its own free practice environment for entry-level applicants
Timed online assessments	No	McKinsey names AI tools as prohibited and lists rescinded offers among the consequences
Recorded video interviews	No	Answers are expected in your own voice, and scripted delivery reads as scripted on camera
Live case and fit interviews	No	Interviewers probe follow-ups specifically to see whether you understand what you just said
AI-collaboration exercises	Required	The firm supplies the tool and scores how you prompt, challenge, and apply it

 

Here is the practical version of all this. If an invitation email does not tell you AI is permitted, assume it is not, and if you are unsure, ask your recruiter in writing before the assessment rather than after.

 

Why Are Consulting Firms Bringing Back In-Person Interviews?

 

Because remote assessment stopped being reliable. A Gartner survey reported by Computerworld in 2025 found 72.4% of recruiting leaders running interviews in person specifically to combat candidate fraud, which Gartner defines as someone impersonating an applicant or sitting the interview on their behalf.

 

McKinsey, Google, and Cisco all restored in-person rounds over that period. A McKinsey spokesperson framed the reasoning as wanting to see judgment, empathy, creativity, and connection, the human qualities that carry client relationships, and treated reduced AI misuse as a secondary benefit rather than the main point.

 

The cheating problem is real, but AI is a poor strategy for beating a case interview. AI answers tend to be fluent and generic, and the moment an interviewer asks why you chose that segmentation, the gap between reciting and understanding shows up in about ten seconds.

 

In my time interviewing at Bain, the strongest signal was never the framework a candidate produced. It was what happened when I pushed back on it, and no tool has ever faked that exchange for a candidate.

 

Is AI Shrinking the Number of Consulting Jobs?

 

Entry-level hiring has contracted, and AI is part of the reason. McKinsey's workforce shrank by more than 10% between 2023 and 2025 and the firm cut roughly 200 technology roles as automation absorbed non-client-facing work, with entry-level positions hit hardest.

 

The Big 4 show the same pattern in graduate intake. Across a two-year window reported in 2025, KPMG cut its UK graduate intake by 29%, Deloitte by 18%, EY by 11%, and PwC by 6%, while UK graduate job listings in accountancy fell 44% year on year.

 

Not every firm reads the trend the same way. BCG chief executive Christoph Schweizer has said the firm is not changing its recruiting, promotion, or partner-election patterns, arguing that junior talent coming out of college is AI-native and that AI has expanded BCG's business rather than diluted it.

 

The honest read is that fewer seats exist and the bar for those seats moved. Fewer offers plus a new evaluation criterion means the candidates who prepare for both the traditional case and the AI dimension have a wider advantage than they did two years ago.

 

What Rights Do You Have When AI Reviews Your Application?

 

More than most candidates realize, and almost nobody uses them. If you live in New York City, Local Law 144 requires employers to give you at least 10 business days of notice before an automated employment decision tool assesses you, and to tell you which job qualifications and characteristics that tool evaluates.

 

The same law requires an annual independent bias audit of the tool, with a public summary of the results posted on the employer's website. The Department of Consumer and Worker Protection guidance confirms that screening counts as an employment decision, so the rules apply well before any final hiring call.

 

Illinois adds a separate layer for recorded interviews. Under the state's Artificial Intelligence Video Interview Act, employers must explain how the AI works and what it evaluates, obtain your consent, and delete your video within 30 days of your request.

 

Firm policy can go further than the law. BCG commits to telling candidates how AI supported the review of their application if they ask, which means you can email your recruiter and get an answer about whether a tool touched your file and what it looked at.

 

How Should You Prepare for AI in Consulting Recruiting?

 

Prepare in three layers: make your application machine-readable, protect your own voice in everything a human reads, and build the skill of directing an AI out loud. The six tips below cover all three.

 

Tip #1: Format your resume so a parser can read it

 

Use one column, standard section headings, and a real text layer. Copy the whole document, paste it into a blank text file, and read what comes out, because that scrambled version is roughly what the software sees.

 

Tip #2: Write the first draft of every human-facing document yourself

 

Your consulting cover letter is the document where AI use is most obvious and most costly. Draft it yourself, then use AI to cut length and sharpen verbs, which keeps the specifics that only you could have written.

 

Tip #3: Practice cases with AI, then argue with it

 

Running mock cases with a chatbot builds volume, but the part that transfers to an AI-collaboration interview is the critique. After every AI output, say out loud which parts you accept, which you reject, and why, since that commentary is precisely what an interviewer scores.

 

The prompt you start with decides whether this works. A lazy request produces a chatbot that praises every answer, so simulating a McKinsey case with AI requires instructions that force the tool to withhold data, interrupt you, and challenge weak logic.

 

Tip #4: Keep your case fundamentals ahead of your AI fluency

 

No AI exercise replaces structure, math, and synthesis. Firms explicitly say the quantitative component still matters because consultants have to understand how numbers connect even in an AI-enabled workplace, and a weak case interview structure fails just as fast with a tool in the room as without one.

 

If you want a faster route through the fundamentals, my case interview course covers structuring, math, and synthesis in as little as 7 days.

 

Tip #5: Treat every automated screen as a real gate

 

Candidates prepare hard for live rounds and improvise on the online ones, which is backwards given how many people get cut automatically. The BCG AI interview process alone can eliminate you across three separate assessments before a consultant learns your name.

 

Tip #6: Use a referral to route around the algorithm

 

A current employee submitting your name pushes your file toward human review rather than leaving it in a ranked queue. Building those relationships early in the consulting recruiting timeline matters more now than it did when a recruiter read every resume.

 

Having coached hundreds of candidates one on one, the ones who adapt fastest are the ones who stop treating AI as a threat and start treating it as one more thing the interview measures. AI in consulting recruiting rewards the same underlying skill it always has, which is clear thinking you can defend under pressure, so the single most useful thing you can do this week is run a practice case with a chatbot and narrate every place you disagree with it.

 

Frequently Asked Questions

 

Do consulting firms use AI to screen resumes?

 

Yes. BCG states publicly that AI-assisted screening tools highlight experience and potential in applications, though the firm says those tools never eliminate candidates and that experienced recruiters review every application. Large firms also run high application volumes through enterprise applicant tracking software that parses and ranks resumes. Format your resume as a single clean column so the parser reads it correctly.

 

Can you use ChatGPT to write your consulting application?

 

You can use it to brainstorm, organize your thinking, and check clarity, but not to write the application for you. BCG's careers site tells candidates directly that AI should support their thinking rather than replace it, and warns that overuse makes an application read as generic and can create inconsistencies during interviews. Write your first draft yourself, then use AI to tighten it.

 

Is it cheating to use AI during a case interview?

 

Yes, unless the firm has explicitly invited you to use it. McKinsey's published Solve rules bar candidates from using AI tools during the assessment and state that violations can lead to exclusion from consideration or a rescinded offer. The one exception is an interview format built around AI collaboration, where the firm supplies the tool and tells you to use it.

 

Does McKinsey use AI in its interviews?

 

Yes, in two separate ways. Since January 2026 McKinsey has piloted a final-round component where candidates work through a case using Lilli, the firm's internal generative AI platform, and interviewers assess how the candidate prompts, challenges, and applies its output. Separately, McKinsey bans outside AI tools inside the Solve assessment.

 

Will AI replace the case interview?

 

No. Firms have added AI-scored screens in front of the case interview and are experimenting with AI-collaboration exercises inside it, but the live case remains the core evaluation at every major firm. If anything, the case has become harder to fake, which is why firms brought back in-person rounds. Structuring, math, and synthesis still decide your outcome.

 

How do you prepare for an AI interview at a consulting firm?

 

Practice cases with a public chatbot and deliberately critique what it produces out loud. Say which parts of the output you accept, which you reject, and why, because that running commentary is exactly what an interviewer scores in an AI-collaboration exercise. Keep drilling standard case fundamentals, since the AI cannot supply your structure or your recommendation.

 

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