This piece first appeared in German. The English version is a rewrite rather than a line-by-line translation, and the German original stays online in the archive: Warum Bain durch KI mehr statt weniger Juniors braucht.

Bain's consultants have built more than 19,000 custom GPTs for their own use, and close to a third of the firm's client work now involves AI and technology. A firm that far in ought to need fewer juniors. In the UK, Bain says it will take on more.

For anyone heading into consulting from university, that reversal is the part worth understanding. The number of entry-level jobs is not what is moving. What moves is the profile behind them.

Automation made the work harder, and the demand larger

The common assumption runs like this: if AI automates enough, companies will need less consulting. Bain's own business points the other way: its AI work adds to what clients ask for.

The mechanism is not complicated: AI does not lower a company's complexity, it raises it. There are more strategic decisions to make, deeper integration problems to solve, and every AI-assisted piece of work has to be checked before anyone relies on it. The firm gets faster and the problems get harder at the same time.

Bain's own reading of the market says the same thing from the client side. Three years after ChatGPT shipped, Bain partner Chuck Whitten said in January 2026, very few companies are scaling their AI bets and boards are losing patience. This is the year AI spending has to show up in bottom-line results. Anyone who thinks a chatbot replaces a strategy consultancy has confused the tool with the workshop.

The intake stays broad, the profile does not

Consulting still runs on a wide junior base, and Bain is no exception. The firm gave every employee ChatGPT Enterprise, and its people have built thousands of custom GPTs on it. Uptake like that follows when tools fit what teams already do: Python for data analysis, automated Excel work, faster research.

What that means for hiring is less dramatic than the headlines suggest. Clare Gordon, who runs Bain's UK business, told The Times in May 2026 that graduate hiring there would be 25 percent higher than the year before. Her reason was that the firm needs juniors working alongside senior experts to develop judgment. The profile is what shifts. Teams increasingly combine consultants, data scientists, designers and engineers from day one, and technical fluency is expected from the start.

That does not mean only computer scientists get hired. If you come out of a business or humanities degree, you need to understand how these tools work, where they break, and how to work with them. Not as a specialist. As a competent user, whatever your subject was.

The apprenticeship moved from gathering to checking

The traditional way into consulting was gathering data, building Excel models and producing slides. Those were the years in which you learned the business from the ground up, and Bain's internal tools show where that work has gone. Sage, an in-house tool, searches the firm's knowledge and points consultants to the right experts, and an earlier tool drafts guides for expert calls. Newer tools go further still: synthetic stakeholder tools let a team test how customer segments might react to an idea long before traditional research could.

Once that is automated, what a junior is for changes. The work moves toward quality control, skeptical questions and dependencies nobody has mapped yet. Speed at assembling data stops being the differentiator. Asking the right question and drawing the right conclusion out of the mess becomes it.

The path used to run through a few years of grunt work and arrive at strategic thinking. Strategic thinking is now expected on day one, because the grunt work is gone.

Human skills became the differentiator

This is the least intuitive part of Bain's position. The firm is investing heavily in AI and arguing at the same time that human capability matters more than it did.

The logic holds up. In a market where every competitor has access to the same models, the human factor is what separates one firm from another. Taking a client through a difficult decision, balancing interests that contradict each other, persuading people, building capability in a team. No model does any of that. Bain puts it in its own terms: for all the technology, it says, the heart of its work remains profoundly human.

For someone starting out, the consequence is uncomfortable. Soft skills are not something you pick up later, once the analytical work is under control. They are the competence that distinguishes you from a tool. Brilliant analysis paired with an inability to tell a board an unwelcome truth will lose to someone who can do both.

What this leaves you with

Bain describes itself as a firm that leads with AI, and it trains for that with workshops and an internal contest it calls the ChatGPT Olympics. The São Paulo office has run an AI masterclass for recruits, and a consultant in Amsterdam built a custom GPT that analyzes photos of retail shelves. AI competence is not a line on the CV that helps. It is an entry condition.

This is not a Bain peculiarity. Demand for AI skills has spread well beyond the technology sector, and financial services is among the industries competing for the same people.

When one of the world's leading consultancies operates this way, it has consequences for anyone who wants into the industry. Not because the jobs disappear, but because what makes a good start has moved. Less: I can grind through eighty-hour weeks in Excel. More: I can produce an analysis with an AI tool in twenty minutes, then interrogate it, place it in a strategic context, and present it to a client convincingly.

Sources

Grouped by the section they support.

Opening

  • Bain & Company (2025), Five ways Bain is leading with AI, careers blog, 21 August 2025, bain.com. Supports the more than 19,000 custom GPTs and the finding that nearly one-third of Bain's work involves AI and technology.
  • Harris-Davison (2026), BCG, Bain and Alvarez & Marsal to ramp up entry level hiring despite AI fears, City AM, 31 May 2026, cityam.com, reporting an interview in The Times. Supports the plan to hire more juniors in the UK.

Automation made the work harder, and the demand larger

  • Whitten (2026), What to Expect from AI in 2026, Bain & Company, 28 January 2026, bain.com. Supports the statement that very few companies are scaling their AI bets three years after ChatGPT, that boards are losing patience, and that 2026 is expected to turn AI investment into bottom-line results.
  • The mechanism, that AI raises complexity, is the author's own analysis.

The intake stays broad, the profile does not

  • Bain & Company (2025), Five ways Bain is leading with AI. Supports ChatGPT Enterprise for all employees and the 19,000 custom GPTs.
  • Harris-Davison (2026), City AM. Supports Clare Gordon's statement that graduate hiring would be 25 percent higher than the previous year, and her reason that juniors need to work alongside senior experts to develop judgment.
  • Bain & Company (2026), Bain & Company appoints Clare Gordon as UK managing partner, press release, bain.com. Supports her role.
  • Team composition and the skills expected of graduates are the author's own observation.

The apprenticeship moved from gathering to checking

  • Bain & Company (2023), Bain & Company makes pioneering deployments of state-of-the-art AI tools worldwide, press release, 26 September 2023, bain.com. Supports Sage and the tool that drafts expert call guides.
  • Bain & Company (2025), Five ways Bain is leading with AI. Supports Sage as the in-house tool for finding firm knowledge and experts.
  • Bain & Company (2026), How AI is Transforming Work at Bain, careers blog, 26 January 2026, bain.com. Supports the synthetic stakeholder tools and their use before traditional research would be possible.
  • The shift in what juniors are for is the author's own analysis.

Human skills became the differentiator

  • Bain & Company (2026), How AI is Transforming Work at Bain. Supports the statement that the heart of Bain's work remains profoundly human.
  • The argument about soft skills is the author's own.

What this leaves you with

  • Bain & Company (2025), Five ways Bain is leading with AI. Supports the workshops, the ChatGPT Olympics, the AI masterclass in São Paulo and the custom GPT for retail shelf images built in Amsterdam.
  • The observation on wider demand for AI skills and the conclusion are the author's own.
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