AI in the B2B sales process part 2: A new growth paradigm?

In my previous blog post, I explored how AI is impacting the B2B sales process and what got a thumbs up or thumbs down. One thumbs up. Two undecided.

AI is a tool, not a replacement for effective sales leadership and process discipline.

As we all know, AI is evolving fast. Digging back into McKinsey's recent article, An Unconstrained Future: How Generative AI Could Reshape B2B Sales, Pathway Two: Releasing a new growth paradigm.

Here's how I break it down. What's your take?

The Promise of a New Growth Paradigm

McKinsey argues that AI isn't just making existing sales processes more efficient — it's creating an entirely new model for B2B sales. This "Pathway Two" scenario envisions a world where AI-powered systems autonomously drive demand generation, optimize customer interactions, and refine sales strategies in ways humans can't.

It suggests that AI will shift from being an assistant to a driver, fundamentally altering how businesses grow revenue.

Sounds good, I think.

The Three Big Shifts: Opportunities and Challenges

McKinsey outlines three key changes AI could bring to sales:

• A move from static to dynamic growth strategies
• A shift from sales-driven to AI-driven customer engagement
• A redefinition of sales team roles and structures

These sound compelling, but let's look at them through a more critical lens.

1. From Static to Dynamic Growth Strategies

McKinsey suggests that AI will unlock real-time adaptability in sales strategies, using continuous data inputs to refine segmentation, messaging, and outreach in the moment.

Could this mean that sales teams will no longer rely on quarterly or annual planning cycles, and that they'll be iterating in real-time?

While that's a powerful vision, it still seems to me that the reality is that most B2B companies still struggle with even basic CRM hygiene.

Garbage data in means garbage AI-driven decisions out. My inbox, SMS, and LinkedIn messages tell me that however companies are training AI, there's still a long way to go to get messaging working well. If it struggles with messaging, when will it be ready to deliver on strategy?

Yes, I do think it's inevitable; however, if sales leaders — and everyone else — don't have the discipline to ensure clean, structured data inputs, AI's recommendations will be dubious at best. Relying too quickly on bad data will, just as it already does, lead to poor targeting and wasted resources.

Thumbs down today with the caveat that I do expect it to get better and better. We have to remember that AI will never be worse than it is today.

2. AI-Driven Customer Engagement

The idea that AI can craft hyper-personalized, AI-driven engagement that outperforms traditional sales approaches is seductive. Automated prospecting, chatbots, and AI-generated content can scale outreach in ways no human team ever could.

But here's my take.

Buyers, at least for now, are still (mostly) humans. Humans will always crave human connection, especially in high-stakes B2B sales.

Over-automation runs the risk of creating a flood of hyper-personalized but soulless interactions. Is that what YOU want from your partners and suppliers?

True differentiation in sales comes from real insight, trust-building, and relationships. Does "perfectly worded" AI-generated email sequences qualify as authentic engagement?

I'm not saying AI can't handle customer engagement. What I'm asking is if AI ends up handling 80% of engagement, will that 20% of human touch become the real competitive advantage?

Thumbs down on too much AI engagement.

We're all prospects. Would you prefer to "hear from" AI or another human?

3. The Evolving Role of the Sales Team

This is where things get particularly interesting.

McKinsey suggests that traditional sales teams may shrink as AI takes on more of the selling function. While it's clear that AI can and will automate lower-value tasks, I don't see a future where top-performing sales teams disappear.

Instead, the best sales organizations will restructure around AI-enhanced selling, with human expertise focused on strategic deals, high-value relationships, and complex sales cycles where trust matters.

I do think this shift will change what makes a great salesperson.

The skill set of the future may be — SHOULD BE — less about ice cold prospecting and the law of large numbers and more about strategic problem-solving and relationship management.

Yes, AI will surface opportunities. I still think it will take skilled salespeople to win strategic accounts.

Thumbs up so long as AI is a tool and not a replacement for strategic sellers.

What Sales Leaders Should Do Now

So, is this "new growth paradigm" a game-changer or just another round of AI-driven hype?

The reality probably lies somewhere in between. AI will undoubtedly make B2B sales more data-driven, efficient, and scalable. That's good.

But without disciplined sales leadership, strong processes, and a keen understanding of where AI creates value versus where it detracts from human connection, companies risk replacing sales effectiveness with automation overload.

Sales leaders should probably focus in the near term on:

• Investing in clean, structured data to ensure AI-driven insights are actually valuable.
• Using AI to augment, not replace, human interactions — especially in complex sales environments.
• Redefining sales roles so that human expertise focuses on relationship-building and strategic selling, not just transactional tasks.
• Avoiding over-automation that alienates customers rather than engaging them.

Final Thought: AI as a Partner, Not a Panacea

McKinsey's vision is compelling, but I don't see AI magically creating a growth engine on its own. I expect the companies that win will be those that blend AI's power with human judgment, relationship-building, and strategic sales leadership.

What are you seeing?

What do you think?

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This is Part 2 of a 3-part series. Read Part 1: Thumbs up or thumbs down? and Part 3: Reframing the sales org.