For decades, the training ground for young M&A professionals consisted of long nights filled with Excel modeling, digging through market data, and organizing endless due diligence folders. This ‘monk’s work’ was seen as a necessary rite of passage for the next generation of dealmakers. But with the rise of artificial intelligence, this is changing rapidly.
According to an article on M&A Worldwide, AI has already taken over several key responsibilities:
1. Generative research and writing
Instead of spending days combing through industry reports, an AI assistant can produce sector trends, competitor analyses, or even a first draft of an investment memo in seconds. Banks are even experimenting with in-house GPT models trained on proprietary deal and market data, providing analysts with usable outputs from a single query.
2. Faster financial modeling
Tools like Excel Copilot can build the skeleton of a valuation model in minutes and flag errors or questionable assumptions. What once took nights can now be done within hours. Analysts now spend less time filling in cells and more time reviewing and adjusting.
3. Document review and due diligence
Machine learning systems can scan thousands of contracts, extract clauses, and highlight deviations. This reduces the time spent combing through datarooms by up to 90 percent, allowing juniors to focus on exceptions and red flags.
4. Smarter information retrieval
AI-powered search engines pull relevant sections from annual reports, transcripts, or equity research in seconds. Analysts no longer need to read through dozens of documents; they can simply ask a targeted question and get the key points with source references.
5. Benchmarking and market mapping
Charting industry landscapes and comparable transactions is largely automated. AI systems uncover not only obvious comparables but also less visible targets that traditional methods often miss.
6. Automatic slide generation
Building pitch decks and management presentations has long been a junior analyst’s nightmare. Generative tools from companies like FactSet now produce charts, tables, and 'tombstones' within minutes, fully aligned with a bank’s house style. Much of the repetitive copy-and-paste work disappears.
7. Faster due diligence Q&A
AI assistants help create, organize, and answer deal process questionnaires. Instead of manually managing Q&As, software automatically matches answers with relevant documents and prior analyses.
8. Administrative coordination
Tasks like scheduling meetings, managing datarooms, and distributing documents are increasingly handled by AI-driven project management tools. A large part of the associate’s logistical burden is lifted.
9. Automatic quality control
AI algorithms spot inconsistencies in models, missing footnotes in slides, or absent figures in tables. Since algorithms don’t get tired, they significantly reduce human error and ensure consistency.
10. Routine communication and templates
From standard emails to deal templates, generative AI drafts content that analysts need only review and adapt. This saves countless hours of typing and leaves more time for substantive client and colleague interaction.
What’s left for humans?
The role of junior analysts isn’t disappearing but is being fundamentally reshaped. As AI takes over repetitive tasks, the focus shifts toward human skills: judgment, creativity, and relationship management.
• Asking the right questions of AI – knowing how to prompt tools and critically assess results.
• Strategic insight – evaluating whether figures align with a client’s long-term goals.
• Creativity – designing unconventional deal structures or narratives beyond AI’s reach.
• Human interaction – building trust with CEOs, negotiating, and persuading remain uniquely human tasks.
Conclusion
AI is making junior analysts’ work less monotonous and more efficient, while also transforming the traditional learning curve in M&A. Talent is no longer defined by late nights in Excel, but by the ability to test, interpret, and translate AI output into strategic advice. The future dealmaker will combine digital assistants with human creativity—structurally accelerating and enriching the M&A practice.
