Hi Friend,

Are you seriously reading this on a Sunday?

Welcome to the #nerdsclub!

We promise to not disappoint you because this week we're unveiling AI's true face.

Don't believe us?

Read this till the end and find out for yourself ;)

What is all the fuss about?

Lately, it feels like everyone has an opinion about AI.

Some say it’s taking over the world. Others insist it’s all hype and won’t actually replace jobs. This article is a perfect example of that second take.

Me? I think the truth is somewhere in the middle. AI is powerful, but it’s not some all-knowing force that can do everything.

Instead of debating, let’s talk about something more practical—where AI in sales still falls short. But first, let’s look at the numbers.

The AI market is projected to hit $2 trillion by 2030—and sales teams are a big reason why. But is AI actually making a difference?

⦁ 61% of top-performing sales teams use AI-powered automation—because let’s be real, no one enjoys manual data entry.
⦁ 63% of companies using AI report a direct increase in revenue. That’s hard to ignore.
⦁ AI can cut lead qualification time by 50%, freeing up reps to focus on selling instead of sorting through bad leads.

Looking at these numbers, you might think that if you’re not using AI in sales, you’re already falling behind.

But AI isn’t yet a replacement for strategy, experience, or human relationships.

In B2B sales, that gap becomes even more obvious.

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AI shines when there’s tons of data and a simple, repetitive process. Think e-commerce. But B2B sales? That’s a different story.

1. The Data Problem

If you’re in B2B sales, you know how messy data can be:

⦁ Unlike B2C, you have fewer clients—which means less data for AI to learn from.
⦁ Every deal is different, making it tough for AI to recognize patterns or predict outcomes.
⦁ Your data is probably scattered across CRMs, emails, and spreadsheets—good luck getting AI to make sense of that.

AI works on clean, structured data. If your system is a mess, AI won’t magically fix it.

2. Complex Sales Processes

B2B isn’t an “add to cart” situation. It’s a long, winding road filled with:

⦁ Multiple decision-makers—each with their own priorities and objections.
⦁ Long sales cycles that rely on trust, relationship-building, and persistence.
⦁ AI is suggesting next steps but not actually closing the deal.

AI can improve efficiency, sure. But when a deal takes six months and involves a dozen stakeholders? A human can make all the difference.

3. The Customization Challenge

B2B clients don’t want cookie-cutter solutions. They want tailored strategies that fit their exact needs. AI struggles with that.

⦁ It can’t negotiate. AI can suggest pricing strategies, but it won’t handle pushback in a real conversation.
⦁ It lacks business intuition. AI can analyze trends, but it won’t understand why your client needs a specific integration.
⦁ Creativity matters. AI can generate generic pitches, but crafting a proposal that actually lands? That’s on you.

I can’t count how many times a small company paid for features they didn’t need, while a big company fought over minor pricing details. AI doesn’t handle those nuances. You do.

AI is a huge asset in sales, but in B2B, it’s not doing the heavy lifting alone.

It can automate workflows, surface insights, and help with efficiency. But when it comes to building relationships, handling complex negotiations, and closing high-value deals? Humans are still the MVPs.

How are you using AI in your B2B sales process?

Hit reply and let me know.

Talk soon!