The real real, the hype, and the straight up haphazard

AI in Demand Gen in 2025

Every B2B marketer is facing the same pressure right now: “figure out AI or fall behind”, they say.

And I mean, I don’t know. I can’t predict the future any better than the next person, but my gut tells me most of us are approaching this AI adoption backwards. We’re hunting for tools before understanding what problems we’re actually solving. We’re hiring prompt engineers before fixing our broken data. We’re adding complexity to systems that were already struggling.

I’ve spent the last 18 months working alongside B2B SaaS companies creating their AI strategies. Some are generating actual competitive advantages. Others are burning budget and spinning wheels.

The difference comes down to understanding what AI can actually do for demand gen—and what it can’t.

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👋 Hi, it’s Kaylee Edmondson and welcome to Looped In, the newsletter exploring demand gen and growth frameworks in B2B SaaS. I write this newsletter every Sunday, and wildly, a few thousand of you read it each week. I’m grateful. If there’s ever anything in particular I can help explore and write about, hit me up! I’d love to chat.

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2 Main Tiers

AI in demand gen works at two distinct levels. Most companies skip straight to tier 2 and wonder why nothing works.

Tier 1: Operational Efficiency

This is where we should all start. AI takes repetitive, time-consuming tasks off your team’s plate:

• Data enrichment and account research

• Email variations and testing

• Content repurposing across channels (a remix, if you will)

• Report generation

• Meeting scheduling and follow-up

The ROI here is straightforward. Your team gets hours back each week. Those hours go toward strategy, experimentation, and actually thinking.

One DG team automated their lead enrichment process. They freed up 15 hours per week that used to go into manual data entry. That’s 15 hours they could spend on campaign strategy (or literally anything else) instead.

Tier 2: Strategic Intelligence

This is where AI becomes genuinely competitive. You’re using it to spot patterns humans miss and make faster, better decisions:

• Identifying buying signals across multiple data sources

• Personalizing content based on actual behavior patterns

• Predicting which accounts are ready to buy

• Spotting ICP patterns in your best customers

The companies winning here aren’t using AI to replace human judgment. They’re using it to surface insights that inform human decisions.

What’s Actually Real

Attempting to cut through the noise… Here’s what AI can do for demand gen today:

Dynamic ICP Refinement

AI can analyze your closed-won deals and identify non-obvious patterns. You might think your ICP is “Series B SaaS companies,” but AI might reveal your best customers are specifically “Series B SaaS with usage-based pricing who recently hired a VP of Customer Success.”

That level of specificity changes your entire targeting strategy.

Signal Synthesis

Everyone has access to signals now. The advantage is knowing which combinations predict buying for YOUR specific product. AI can process thousands of signal combinations to find patterns that correlate with closed deals.

When you know that three stakeholders viewing your implementation docs within seven days predicts a 78% close rate, you’ve found your golden signal for immediate outreach.

Competitive Intelligence

AI can monitor competitor job postings, product updates, and market positioning continuously. You can spot pivots months before they happen and adjust your strategy accordingly.

What’s Still Hype

Here’s what AI can’t do, despite what vendors promise:

Fix Your Broken Fundamentals

If your ICP is fuzzy, your messaging is generic, or your data quality is poor, AI will amplify those problems. You’ll just fail faster, and more expensively.

AI is an accelerator. It makes good systems better and broken systems worse.

Replace Strategic Thinking

AI can surface patterns and generate v1 content. It can’t decide your positioning, choose your target accounts, or determine your GTM strategy.

Those decisions still require human judgment, market context, and strategic thinking.

Work Without Good Data

AI is only as good as your data. If your CRM is missing basic information or hasn’t been updated since 2022, no AI tool will save you.

The Real Expertise Gap

Companies are scrambling to hire prompt engineers or “AI marketers.” But that’s the 2025 version of hiring “social media ninjas” in 2012.

The actual gap is that: We need people who can redesign demand gen systems for an AI-augmented world.

That requires:

1. Deep knowledge of demand gen processes - Understanding where friction exists in your customer journey, what metrics actually matter, and how campaigns drive revenue.

2. Basic AI literacy - Grasping what’s possible with current AI capabilities without getting lost in technical details. Separating hype from reality.

3. Systems thinking - Seeing how tools, data, and workflows connect. Building systems that create competitive advantages, not just implementing tools.

The best “AI marketer” I’ve seen? A former sales ops manager who taught herself enough Python to bridge technical gaps. She understood the customer journey deeply and learned just enough technical skills to connect tools, data, and workflows in ways competitors couldn’t replicate.

Three Questions Before Investing in AI

Before you buy another tool or make another hire, ask yourself:

1. Can you describe the problem without mentioning AI?

If your problem statement includes “we need AI for...” you’re starting backward.

Good: “We lose 40% of MQLs because our response time is too slow”
Bad: “We need an AI chatbot”

2. Have you done this manually first?

AI amplifies existing processes. It doesn’t fix broken ones.

If you want AI to personalize your emails, start by manually personalizing ten emails. If you can’t articulate what good personalization looks like for your audience, you’re not ready to automate it.

3. Is your data actually any good?

If you hesitated on this question, that’s your answer.

Fix your data hygiene first. Then automate.

Where to Start

Pick one time-consuming process. Make it 10x better with AI. Then move to the next.

Start with Tier 1 operational efficiency wins. Free up your team’s time. Let them see AI working in a concrete, measurable way.

Once you’ve automated the grunt work, you can focus on Tier 2 strategic applications. That’s when can AI become a genuine competitive advantage.

The compound effect will surprise you. A small team augmented with AI can compete with teams 3x their size—if they’ve built the right foundations first.

AI won’t fix your broken demand gen fundamentals. But if you have strong fundamentals—clear ICP, sharp messaging, clean data—AI becomes the accelerator.

Stop asking what AI tools you should buy. Start asking what problems you need to solve. The tools become obvious once you know the problem.

See ya next week,
Kaylee ✌

P.S. Want to know the single best AI investment for demand gen teams? It’s not a tool. It’s dedicating 4 hours per week for your team to experiment with AI on real problems. The learning compounds faster than you’d expect.