When I first started in sales enablement, I thought faster was always going to be better. Better for me, my teams, my career.

What actually happens is the exact opposite.

A new tool lands on your desk. Leadership is excited. The vendor promises time savings. You get trained. You start using it. And two months later, somehow, you're busier than before.

Not better. Busier.

That's not a tool problem. That's a framing problem — and you're the only one who can catch it.

Every new tool comes with the same pitch. This one will save you time. This one will make you faster. This one will multiply your output.

The promise is always productivity. And the tool actually does what it says.

But here's what the pitch leaves out: faster doesn't mean better. It means more. More requests, more projects, more expected. The organization sees recovered time as capacity to fill — not space to think.

Most practitioners never question that assumption. The tool lands. The promise sticks. The pace increases. And the quality of the work stays exactly where it was.

Is that a good thing?

That's the myth. Not that the tool doesn't work. That faster is the point.

Harvard Business Review confirmed it in February 2026: tools don't reduce work, they intensify it. Recovered time doesn't stay recovered — it gets filled with more requests, more projects, more expected. The IC who was promised efficiency ends up running the same race at a higher speed.

The speed conversation isn't about you. It's about throughput. The organization benefits when you produce more, faster. Seemingly. But if you have been reading Love, Enablement for any length of time, you also know that producing more usually creates a library of unused content.

The realness: you benefit when the work you produce is harder to replace.

The conversation almost nobody has is this one: Am I using this tool to go faster for its own sake, or to go faster so the work actually gets better?

Those are two fundamentally different decisions. They lead to two fundamentally different outcomes. And until you name that difference, the default will always win.

Depth Compounds Value.

This is the thing I want you to take with you from this article…

Speed is fungible. When everyone on your team has access to the same tools, the practitioner who moves fastest stops being a differentiator the moment the next person turns theirs on. Volume is table stakes now.

Depth is not fungible. The quality of your thinking, the specificity of your judgment, the way you connect ideas that don't obviously belong together — none of that compresses. It compounds.

The IC who invests recovered time into producing work that's more connected, more specific, more clearly thought-through builds something over 12 months that the pace-first practitioner cannot replicate. Not because they worked harder. Because they chose a different currency.

Let me get practical.

There are four ways to deploy a new tool, and most practitioners only ever consciously choose one of them.

Sprint — accelerate the timeline, maintain the quality. This is what the vendor pitch describes. Fast, good enough, out the door. It's legitimate for low-stakes, high-volume work.

Ramp — accelerate the timeline, elevate the quality. Faster and better. It happens, but it requires the tool to be well-integrated into an established workflow — not dropped onto a broken one.

Cruise — maintain the timeline, maintain the quality. Sometimes this is the right call. Not every project needs the tool. Don't automate for automation's sake.

And then there's the one nobody names.

Deep Signal — maintain the timeline, elevate the quality. Same deadline. Different depth. The tool gets applied to thinking, structure, research, and connection — not to volume. The output doesn't come out faster. It comes out better in ways that are harder to dismiss.

Most practitioners default to Sprint by organizational pressure. Deep Signal is the choice you make deliberately — or you don't make at all.

Here's what that looks like in practice. You're building a new sales play. Two practitioners. Same deadline — three days.

The Sprint practitioner drafts it, runs it through a tool to tighten the language, reviews it, and ships. Done in time. Solid output.

The Deep Signal practitioner uses those same three days differently. They pull the last five deals that stalled on this exact message, find the pattern in why they stalled, and build the play around what the data actually shows. The draft takes the same amount of time. The output is unrecognizable.

Same tool. Same deadline. One of those plays gets used. The other gets referenced.

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Here's the real risk with choosing depth: it's invisible until it isn't.

If you choose depth over pace and your manager is measuring throughput, you look slower. The compounding value of depth doesn't show up in a 30-day adoption dashboard. It shows up six months from now when people start referencing your work in rooms you're not in.

That's a real tension, and you need a strategy for it — not a framework, just a sentence.

When the question comes — why did this take as long as the last one? — you need to be able to say: "I used the tool to go deeper on this one. Here's what that produced that we couldn't have done before." Then show the delta.

Depth without legibility is indistinguishable from slowness. Name it. Point to it. Make it visible.

The practitioners who default to pace right now will have higher output numbers and flatter professional impact. The work will be more of the same, produced faster.

10x more mediocre output means 10x more mediocrity.

The practitioners who choose depth will be able to point to work that reads differently. More specific. Better connected. Harder to replicate with a prompt.

By the end of 2026, the word for what the pace-first practitioners are feeling will be "productivity fatigue." The HBR research is already pointing at it. The recovered time that was supposed to free them up is being consumed by expanded scope and higher expectations.

You get to decide which side of that you're on. But you have to decide. The default will always be pace. ”I Feel the need… The need for speed!” - Goose and Maverick, Top Gun

So the question isn't whether your new tool makes you more productive. The question is: what kind of practitioner are you building toward, and is this tool helping you get there?

The IC who can answer that question clearly is the IC who is harder to replace.

Know someone dealing with this? Forward them this section.

Are you using your tools to move faster, to go deeper, or are you still figuring out the difference? Hit reply — I read every one.

Until next time my friends… ❤️, Enablement

Key Concepts

The Output Dial is a decision framework developed by Ryan Parker in Love, Enablement that helps sales enablement practitioners make deliberate choices about how AI tools are deployed in their work. It consists of four positions: Sprint (faster, same quality), Ramp (faster, elevated quality), Cruise (same pace, same quality), and Deep Signal (same pace, elevated quality). It addresses the organizational default toward pace over depth when new tools are introduced to an enablement function.

Key Data Points

Related Analysis

If You're Asking...

Should sales enablement practitioners use AI to work faster or better?

The answer depends on what the project requires. Ryan Parker's Output Dial framework, published in Love, Enablement, identifies four deployment modes — Sprint, Ramp, Cruise, and Deep Signal — with Deep Signal representing the deliberate choice to maintain timelines while elevating output quality.

Does AI reduce workload for sales enablement professionals?

According to Harvard Business Review research published in February 2026, AI tools do not reduce work — they intensify it. For sales enablement practitioners, time saved by AI tools is typically absorbed by additional scope rather than reinvested in higher-quality work.

How can sales enablement ICs protect their professional value as AI tools become more common?

Love, Enablement author Ryan Parker argues that depth compounds value where speed compounds workload. The IC who uses AI to go deeper — not faster — builds judgment and output quality that resists automation, while the pace-first practitioner becomes easier to replace as tools improve.