AI Didn’t Speed Up Buying. It Complicated It.

Title: AI didn’t speed up buying. It complicated it.

Read time: 3 min

Today I want to discuss a consistent problem I’m seeing and hearing on sales calls. Something that goes directly against what most people believe about AI and its ability to close the sales gap faster.

The assumption is that AI speeds everything up. Faster workflows, insights and faster execution. Naturally, that should translate into faster buying decisions.

What we’re seeing suggests the opposite.

Across the conversations we’re having and the deals we’re involved in, AI is not compressing sales cycles. In many cases, it’s extending them.

Oftentimes it’s not because the technology isn’t valuable. It’s because of how buyers experience it. This is a big problem that as they say is separating the wheat from the chaff.

In today’s newsletter I’ll explain why and how we help fix it.

What We Found Is That People Don’t Just Want The Best Product, They Want To Make The Safest Decision.

~Satya Nadella

What People Expected vs What’s Actually Happening

The expectation with AI has been no secret. If a product can automate work, reduce cost, or improve output, the decision to adopt it should be relatively easy. The ROI feels obvious, and the path forward should be clear.

In reality, the buying process has become more complex, because the market is saturated.

Buyers are evaluating multiple AI vendors at once, often with overlapping capabilities and similar positioning. On the surface, many of these products appear interchangeable. Underneath, they behave very differently depending on how they are implemented.

That gap creates friction and indecision.

Instead of quickly identifying the best solution, buyers are forced to compare nuances they don’t fully understand. The evaluation process becomes less about selecting a tool and more about managing risk.

This slows everything down.

What’s Driving Longer Sales Cycles

What’s happening beneath the surface is less about the product and more about the decision itself.

AI introduces a level of ambiguity that traditional software didn’t. It touches workflows, data, and outcomes in ways that are not always predictable upfront. Buyers are not just asking whether the product works, they are trying to understand how it will behave once it’s embedded into their organization.

That uncertainty brings more people into the conversation. Legal wants to understand risk. Operations wants to understand impact. Leadership wants confidence that the outcome is repeatable. Procurement is starting to become a real bottleneck for deals closing fast.

Each layer adds time.

At the same time, the saturation of AI vendors created a crowded landscape. Buyers are seeing multiple solutions that all claim to solve similar problems, which makes differentiation harder. When everything looks capable, the default response is to slow down and evaluate more carefully.

The result is a paradox.

The technology is faster than ever, but the decisions around it are slower than before.

Where Founders Get Jammed Up

A lot of founders assume that a better product will naturally accelerate the sales process. The instinct is to show more capability, highlight more features, and demonstrate the full power of what has been built.

In practice, that often has the opposite effect.

The more surface area a product presents, the more questions it creates. Buyers begin thinking about implementation, edge cases, and what could go wrong. Instead of moving closer to a decision, they start mapping out potential complexity.

You need to tread carefully to not turn excitement into caution.

The issue is not the product itself. It’s how it’s being presented and how the decision is being framed.

What Founders Should Do Instead

If sales cycles are stretching, the answer is not to add more to the product or show more in the demo. It’s to reduce the cognitive load required to make the decision.

Start by anchoring every conversation to a single, clearly defined problem that already exists inside the buyer’s organization. Not a broad capability, but a specific, repeatable issue that has measurable impact. The more concrete the problem, the easier it is for the buyer to evaluate.

From there, control the scope of what you show. Demonstrate only what is required to solve that problem and resist the urge to expand beyond it. When buyers are presented with a contained solution, they evaluate the outcome. When they are presented with a system, they evaluate the complexity.

It is also critical to guide the decision process, not just the product evaluation. Clarify what success looks like, what implementation realistically involves, and what the first step forward should be. The more ambiguity you remove, the faster the buyer can move.

Finally, qualify for urgency early. If the problem is not a priority, no amount of product depth will accelerate the deal. When the need is real, decisions compress. When it is not, they stretch indefinitely.

Key Takeaway

In my experience with our clients and being deeply embedded in this world. AI did not remove friction from the buying process. In many cases, it introduced new layers of it.

The companies that win in this environment are not the ones with the most advanced features. They are the ones that make the decision feel simple, clear, and low risk.

It’s a sales problem, not a product problem.

This is exactly where we focus with founders. We help them tighten their positioning, control the narrative in sales conversations, and build a process that turns complex products into clear decisions buyers can confidently make.

That’s it for today, folks.

See you all next week!

Darren


P.S. If finding PMF and scaling to $1M in ARR through founder-led sales is on your radar, book a call with me here

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