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If you’re preparing for a career in consulting, finance, or accounting right now, you’ve probably heard some version of the same message: “Learn AI tools or risk falling behind.” There is truth in that message, but according to new research from McKinsey & Co., there’s another skill that’s becoming just as important in the workplace—communication.
In fact, McKinsey’s recent work on preparing students for an AI-driven economy suggests that as technology becomes more powerful, the professionals who stand out won’t necessarily be the most technical people in the room. Instead, they’ll be the ones who can clearly explain what the technology is doing and what it means for business decisions.
AI Is Changing What “Communication Skills” Actually Mean
For years, “strong communication skills” mostly meant writing clearly, presenting confidently, and explaining complex ideas in language that’s easy to understand. Of course, those skills are still extremely valuable, but AI is expanding what communication looks like in modern professional environments.
In the consulting world (as well as other professional environments), professionals are expected to translate technical insights into business decisions, explain AI-generated analysis to clients, collaborate across human/digital hybrid workflows, and evaluate whether automated outputs actually make sense.
What this means is communication is no longer just about presenting information clearly and concisely, but also about interpreting it. According to McKinsey’s work with education organizations preparing students for AI-enabled careers, future leaders will need confidence speaking about uncertainty, complexity, and of course, emerging technologies, which goes beyond delivering polished presentations.
AI Cannot Lead Conversations
Consultants spend a lot of time translating analysis into recommendations clients can actually use. AI can now help produce research summaries, financial models, and even draft presentations, but someone still has to explain what those results mean. This is where communication becomes a powerful advantage.
Look at it this way—automated systems can analyze datasets and summarize findings, but human professionals can take those findings and present them to a client and say, “Here’s what the data suggests, and here’s what we should do next.” Indeed, the ability to lead conversations is uniquely human and cannot be automated.
What Employers Are Looking For
In the age of AI, confident communication is key. Many teams are now reviewing AI-generated outputs and deciding how to act on them, so it’s becoming extremely important to be able to interpret results, ask questions, challenge outputs, and communicate tradeoffs clearly.
For example, if an AI tool produces multiple strategy recommendations, someone still has to explain which one makes the most sense and why. That “why” part of the conversation is becoming one of the most valuable skills you can bring to a team.
Communication Builds Trust
As more firms begin to rely heavily on automation, they’re going to need professionals who can help others understand how decisions are being made. This includes things like explaining where data comes from, what assumptions are built into models, what risks might exist, and what the results actually mean.
Early-career professionals who can do this well will quickly become valuable contributors, even if they’re still learning the technical side of the job. Along with this, in client-facing industries like consulting and accounting, trust is everything.
Hiring Expectations Are Changing
McKinsey’s case study on preparing students for AI-era careers highlights something many employers are already doing—placing more emphasis on communication earlier in the hiring process.
Remember, this doesn’t mean that those technical skills don’t matter anymore. It just means that the modern workplace expects candidates to be able to explain their thinking clearly, present ideas confidently, and collaborate with their team using new tools. If you’ve ever been asked “walk me through your thinking” in an interview, then you’ve already seen this change in action.
What This Means for Students and Early-Career Professionals
You don’t need to become an AI expert overnight to stay competitive, but you do need to get comfortable explaining ideas clearly in AI- and technology-enabled workplaces. This might include speaking up during group discussions or presenting recommendations during class projects.
Whichever the case may be, habits like these build the exact skills employers are looking for right now. It’s also worth noting that unlike technical tools, communication skills don’t become outdated every year (or every other week).
Strong Communication as a Differentiator
Confident communication tends to develop earlier than technical expertise. What this means is students who invest in communication skills early often stand out sooner once they enter the workplace.
For example, two analysts might produce similar research, but the one who can clearly explain what the research means (and what the team should do next) usually becomes more visible to managers faster. In competitive fields like consulting and finance, that visibility is incredibly important.
AI is changing how work gets done across professional services, but instead of replacing communication skills, it’s actually making them more valuable. Sure, technology may continue to evolve at a rapid pace, but the ability to communicate clearly, confidently, and thoughtfully remains one of the most reliable ways to stand out in your career.
Rob Porter is an editor at Vault.
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