GrowthPath Partners LLC

Empowering Purpose-Driven Growth

Liza Adams

AI: Optimize the Past or Reimagine the Future?

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How do you know if you’re using AI to optimize the past… or reimagine the future?

On December 3-5 during a free virtual event, join me and an incredible lineup — Amanda Kahlow (1mind), Kimberly Storin (Zoom), Alina Vandenberghe 🌶️ (Chili Piper), Lisa Sharapata🌟(Metadata), Sydney Sloan (G2), Wendy W. (Comply), Carol-Lyn Jardine (Clarity & Motion), Mary Gilbert (Kerford) (InfiniteEdge), Tim Hillison (EntryPoint1), and others — for Metadata’s Agentic GTM virtual event.

In my session, I’ll break down the 3 evolution stages organizations move through (Tools → Teammates → Orchestrated Systems) and share a real story of a team that went from “we saved 5 hours a week” to “we’re doing strategic work that drives business growth that was impossible before.”

It all changed when they went beyond asking “how do we save time” to asking “what work would never get done without AI?”

Agentic GTM: 2026 and Beyond

December 3-5 | Free virtual event

Register: See link in the comments

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AI Outage: Gemini Responds To Roll Call

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Good morning class of AIs! Roll call…

  • ► ChatGPT? [Silence]

  • ► Claude? [Silence]

  • ► Perplexity? [Silence]

  • ► Gemini? [Present! Where should we start?]

Confident that they’ll be back. I’m sure many are all-hands-on-deck on this outage.

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AI Guilt: Why ‘Easy’ Isn’t Cheating

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You finished something in 30 minutes with AI, that would have taken 3 hours. The output is better than you could have done alone.

You feel guilty but not because anyone said anything. It’s because you’re thinking… this was too easy. You took a shortcut. You didn’t really earn it. You’re not imagining this stigma. And you’re not alone.

This pattern shows up every time technology makes hard things easier. Calculators were “cheating” in the 70s. Spell check was “lazy” in the 90s. We were judged.

The internet, e-commerce, online banking, ride-sharing apps. All faced resistance. All became standard. At some point, it will simply be a part of everything we do and people will question why we’re NOT using AI.

A recent Harvard study found people using AI reported less stress because they had help managing time pressures. Just as the stigma is real, the relief is too.

And what helps is knowing where YOUR friction point actually is. I built a quick assessment (2 minutes, 6 questions) that shows you exactly where your challenge shows up and offers some guidance to reframe. See link to the assessment in the comments.

Getting to the right outcome is more important than how hard it felt. You’re making it better by focusing on work that actually needs your judgment.

You can stop feeling guilty about:

  • Using AI to help you prompt better
  • Letting AI handle tedious parts
  • Getting to good work faster instead of proving you struggled enough

The guilt made sense when shortcuts meant cutting corners. That’s not what’s happening here.

The technology is easy. We are the hard part.

And navigating that is exactly the transformation work.

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AI Video Explainers: Making Complex Ideas Click

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AI video explainer quality just got noticeably better.

I’ve been using NotebookLM to create podcast versions (with AI hosts) of my newsletters for months. I’ve also been testing their video feature, a slideshow walkthrough with narration.

With the enhancements, I’m now including an 8-min AI explainer video below alongside the 12-min AI podcast for my latest newsletter on how AI is reorganizing GTM teams around customers, not departments.

Here’s what stood out:

  • It tied McKinsey’s research to real case studies and made the Journey Teams model feel practical, not theoretical.

  • The graphics explained the frameworks clearly and were visually appealing.

  • It focused on the most important point: you don’t have to evolve your organization overnight. Start with one painful workflow, fix that handoff, build from there.

Most leaders need to hear that third one. Org transformation sounds overwhelming. The video made it feel doable by showing the crawl-walk-run approach. Start small, prove it works, build momentum.

I still reviewed every second for accuracy. AI is good at pulling information together but can’t replace knowing what GTM leaders actually need to hear.

Now I have another format to reach different learning styles and time constraints. Links in comments for the video (8 min), podcast (12 min), or full written newsletter with frameworks and case studies.

Pick the format that fits how you actually learn.

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Beyond ‘Ask Anything’: Train Your Team to Fly with AI

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You handed out ChatGPT with a text box that says “Ask anything,” ran a basic AI training session, and expected your team to build cross-functional AI workflows that they orchestrate.

That’s the Grand Canyon, not a strategy.

Many people still look at ChatGPT and see a fancy search engine. Or an intern that hallucinates. Or a Q&A machine that makes things faster but not better.

Basic training doesn’t change that. Teaching your team how to prompt without showing them what’s actually possible just means they’ll write better queries to the search engine.

ChatGPT speaks natural language. You can draft strategy, analyze patterns, build frameworks, test ideas, challenge assumptions. It’s a thought partner you guide, not just a faster way to Google.

Nobody’s showing them how to build AI teammates (e.g., custom GPTs) for specific tasks and connect them together to create an end-fo-end workflow.

So they’re stuck on one side of the Grand Canyon, thinking they need to walk across on foot. When really, they could fly.

Show your team what’s possible. Share real examples. Walk through use cases that matter for their role. Put hands on keyboard to build confidence. Teach them to use it responsibly and strategically. Give them the space to learn. Let them reimagine new work that wasn’t possible before, not just make old work faster.

Once they see and experience it, they’ll soar.

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