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&lt;p&gt;Recently, McKinsey &amp;amp; Co. unveiled a &lt;a rel=&quot;noopener noreferrer&quot; href=&quot;https://www.mckinsey.com/about-us/new-at-mckinsey-blog/mckinsey-and-openai-scale-ai-driven-transformations-with-new-frontier-alliance&quot; target=&quot;_blank&quot;&gt;collaboration with OpenAI&lt;/a&gt;, aimed at scaling AI-driven transformations across its client base. The language of the announcement emphasizes speed, enterprise-wide deployment, and helping organizations move beyond AI pilots to real operational change. For students and professionals considering consulting careers (or consultants who want to remain competitive), this development says a lot about what top firms will expect from you moving forward.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;About the Partnership&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;At a high level, the alliance pairs McKinsey’s strategy and transformation expertise with OpenAI’s advanced AI capabilities. The goal is to help companies integrate generative AI into core operations, not just experiment with it.&lt;/p&gt;&lt;p&gt;In simple terms, this isn’t about building a chatbot for a marketing team. It’s about rethinking workflows, productivity systems, customer interactions, and decision making processes using AI tools.&lt;/p&gt;&lt;p&gt;McKinsey has already invested heavily in analytics and digital capabilities over the last decade or so, and this partnership reinforces that trajectory. It signals that AI is becoming central to how major consulting engagements are delivered.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Consulting Is Becoming More Technical&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;For years, consulting was largely associated with frameworks, PowerPoint decks, and high-level strategy recommendations. At that time, technical know-how often came from specialized third-party firms, but in the age of AI, that line is blurred.&lt;/p&gt;&lt;p&gt;When consulting firms promise clients enterprise-scale AI transformation, consultants must understand how these tools work, what they can realistically achieve, and where risks lie.&lt;/p&gt;&lt;p&gt;Of course, you don’t need to become a machine learning engineer to work at a top consulting firm, but you do need fluency. You need to understand what large language models can and cannot do, how data quality affects outputs, and how to recognize the operational implications of automating workflows. In other words, consulting is an industry where AI literacy is becoming a baseline expectation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;What This Means for Job Interviews&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;If you’re preparing for an interview in 2026, expect the topic of AI to show up more often. You might be asked questions such as:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;“How would you help a client integrate AI into its supply chain?”&lt;/li&gt;&lt;li&gt;“What risks should a bank consider before deploying generative AI?”&lt;/li&gt;&lt;li&gt;“How would you measure ROI on an AI transformation initiative?”&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;Questions like these aren’t meant to be technical coding questions, but rather business judgment questions with an added technical layer. For more on how to put together effective answers to AI-related questions during a consulting job interview, check out our previous advice &lt;a rel=&quot;noopener noreferrer&quot; href=&quot;/blogs/consult-this-consulting-careers-news-and-views/how-consulting-firms-expect-candidates-to-think-about-ai-in-interviews&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt;&#160;and &lt;a rel=&quot;noopener noreferrer&quot; href=&quot;/blogs/consult-this-consulting-careers-news-and-views/how-to-discuss-ai-experience-in-consulting-interviews&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;p&gt;McKinsey’s partnership with OpenAI reinforces that AI is operational in the consulting world, and firms will likely look for candidates who can think critically about how technology creates value.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;The Skill Set That Will Differentiate You&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;First, develop a working understanding of AI concepts. This doesn’t mean memorizing research papers full of technical jargon. Instead, aim to get a solid grasp on understanding how generative AI produces outputs, what “training data” means, and how to recognize bias and AI &quot;hallucinations.&quot;&lt;/p&gt;&lt;p&gt;Next, sharpen your ability to translate technology into real business impact. Clients don’t care about algorithms; they care about revenue growth, cost savings, productivity gains, and risk mitigation. Moving forward, the strongest consultants will bridge that gap.&lt;/p&gt;&lt;p&gt;It’s also incredibly important to build judgment. As we all know by now, AI can generate analysis quickly. What it can’t do is own the consequences of a bad decision. Consultants who know how to challenge outputs, ask the right follow-up questions, and apply common sense will stand out.&lt;/p&gt;&lt;p&gt;Finally, adaptability is critical. The pace of change in AI is extremely rapid, and firms aligning closely with technology leaders strongly indicates that learning will be a part of the job.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Broader Industry Implications&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;McKinsey is not alone in expanding its AI capabilities. Across the consulting industry, firms are investing heavily in analytics, digital transformation, and AI-driven solutions. The news of McKinsey’s alliance with OpenAI highlights the degree to which generative AI is moving into the strategic core of consulting.&lt;/p&gt;&lt;p&gt;That shift may also influence internal roles. We may see greater integration between traditional strategy consultants and data specialists. Project teams may include individuals who are comfortable discussing market entry strategy one day and AI-enabled automation the next.&lt;/p&gt;&lt;p&gt;For students, this means your academic and extracurricular choices are extremely important. Courses in data analytics, exposure to AI tools, and practical experimentation can provide talking points that demonstrate genuine interest and capability.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Don’t Ignore the Trend&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;This partnership does not mean every consultant will become a technologist. Core consulting skills like structured thinking, communication, problem solving, and leadership ability remain foundational.&lt;/p&gt;&lt;p&gt;At the same time, ignoring AI’s growing role would be shortsighted, to say the least. When a leading global firm formalizes an alliance with a top AI research organization, it signals that the profession is evolving. The safest career strategy is not to specialize prematurely or panic about coding bootcamps—it’s to layer AI literacy onto a strong consulting foundation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;The Bigger Career Lesson&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;The alliance between McKinsey and OpenAI is all about long-term positioning. Top consulting firms survive by staying relevant, and consultants should use this to draw parallels with their own careers. Think of it this way: as firms begin to reposition themselves to stay ahead of market shifts, you should be thinking about how your own skill set fits into the next phase of the consulting industry.&lt;/p&gt;&lt;p&gt;The goal should be to develop enough AI fluency to engage in serious business conversations about it. Seek to understand how these tools affect productivity, cost structures, competitive dynamics, and risk. If you can show that you’re AI-literate and that you’re comfortable operating in an environment where technology and strategy are becoming increasingly intertwined, you’ll be ahead of the curve.&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;a rel=&quot;noopener noreferrer&quot; href=&quot;https://www.linkedin.com/in/rob-porter-475854210/&quot; target=&quot;_blank&quot;&gt;Rob Porter&lt;/a&gt; is an editor at Vault.&lt;/em&gt;&lt;/p&gt;

Rob Porter

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