What is happening at the large firms right now
The large strategy consultancies and the Big Four have developed their own AI tools that their consultants use to research, analyse and create presentations. Behind them are investments and development teams that smaller firms cannot afford. On top of that come strategic partnerships with leading AI companies, to introduce AI at clients and to become more productive themselves.
This also changes the staffing structure. According to industry reports, the Big Four are hiring significantly fewer graduates because AI takes over many classic entry-level tasks. KPMG UK, for example, has cut its graduate intake from 1,399 to 942, and McKinsey is also reducing headcount and attributes the restructuring to progress in AI. Some firms now even measure how regularly employees use AI tools and make it a criterion for promotions.
Why this directly affects boutiques
When large firms deliver faster with AI, the expectations of all clients rise. A market overview that used to take two weeks is now expected within a few days. At the same time, fixed prices are becoming standard, and those who work more slowly lose margin. It also counts in the competition for talent: young consultants do not want to spend hours researching and formatting by hand. And the gap widens over time, because AI tools get better with every project as company knowledge and workflows accumulate in them.
The boutique advantage
| Big Four and large strategy firms | Boutique firms | |
|---|---|---|
| Resources | Own development teams and large budgets | No in-house IT or AI team |
| AI approach | Own platforms, years of development | Use ready-made solutions, start immediately |
| Decision paths | Long, many approvals | Short, partners decide directly |
| Specialisation | Broad portfolio | Deep expertise in industries or topics |
| Client proximity | Large teams, frequent changes | Personal relationship, partner on the project |
The decisive point: boutiques do not have to build their own platform. They can rely on solutions made for consulting firms, map their own methodology into them and thereby combine their specialisation with the efficiency of the large firms.
What happens if boutiques wait
Those who wait risk fixed-fee projects becoming unprofitable and proposals being lost to faster, better-prepared competitors. Methodology stays in the heads of individuals and is lost when they leave. And because employees are already using freely available AI tools, often with client data as well, the lack of clear rules and secure tools creates a data protection and liability risk.
How boutiques catch up
- Start with recurring tasks: proposals, market overviews and document screening bring relief fastest.
- Map your own methodology: store proven approaches as fixed workflows.
- Choose secure tools: EU data hosting, no training on client data, separation between engagements.
- Safeguard quality: sources for every statement and fixed checkpoints.
- Measure impact: time saved, proposals won and margin on fixed-fee projects.
Conclusion
The AI shift in consulting is already underway, led by the large firms. For boutique firms this is no reason to worry, but a reason to act. Those who firmly and securely build AI into their way of working now combine their strengths (specialisation, speed, client proximity) with the efficiency clients will expect in the future.
