CMO Alliance's CMOs to Watch 2026 list came from peer nominations. Marketers chose the people they learn from. That means a lot to me. I'm proud to be on it. But what I'm most proud of is what it rep…


LinkedIn Content Strategy & Writing Style
AI Advisor & GTM Strategist | Human+AI Org Evolution | Applied AI Workshops | “50 CMOs to Watch” | Keynote Speaker
1 person tracking this creator on ViralBrain
Liza Adams positions herself as a high-level architect of Human+AI Org Evolution, moving beyond simple automation to focus on the strategic integration of AI within go-to-market teams. Her content strategy centers on the psychological and operational shifts required for AI adoption, frequently using recurring themes like "digital twins" and "human-centered transformation" to show how AI can challenge human biases rather than just accelerate existing tasks. She distinguishes herself through a practitioner-led transparency, often sharing personal experiments with tools like Claude alongside deep-dive case studies from enterprise giants like Cox Automotive and Morningstar. This creates a compelling intersection of technical GTM strategy and humanistic leadership, where she bridges her background as an electrical engineer and immigrant with a modern vision of work that prioritizes human spirit and strategic judgment over mere efficiency.
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CMO Alliance's CMOs to Watch 2026 list came from peer nominations. Marketers chose the people they learn from. That means a lot to me. I'm proud to be on it. But what I'm most proud of is what it rep…

I ran a live "AI cooking show" on stage at Content Jam in Chicago yesterday. A cup of critical thinking, a pinch of magic, and a tablespoon of hot mess in directing AI that served up persona-aligned a…

I saved the best for last as He did. This is the last paragraph in my LinkedIn About section: “My husband’s and my greatest achievements are our children. Sometimes our biggest contribution to the wo…

Your buyer used AI to build a shortlist, ask peers for opinions, and make a decision before your team knew they were in the market. Your attribution model tried to assign credit across touches that di…
Your AI teammates don't know each other exist. They sit in separate chats, doing separate things. You're the one copying outputs between them and re-explaining context every time. That's a workflow p…
Three months ago, she tore her ACL completely. Penny went from running freely to limping on three legs. She did laser and water rehab. She learned to walk again with a brace. She never complained. Pr…
2.5 posts/week
Posts / Week
12
Total Posts Analyzed
MEDIUM
Posting Frequency
169%
Avg Engagement Rate
STABLE
Performance Trend
1200
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.85/10
Uniqueness Score
YES
Question Usage
0.9%
Response Rate
Writing style breakdown
<start of post>
There's work worth doing that your team isn't doing. Not from a lack of will. It was too hard, slow, or expensive for an all-human team to do at scale, so the fallback became "do the best we can with what we have."
You probably can't even name which work, because the decision was made so long ago it just became how things run.
Here's a test you can do in your next team meeting.
Ask everyone to name one task or workflow the team stopped doing, or never started, because it was too slow, manual, or expensive. Reading every sales call transcript, refreshing battlecards every week, tailoring the message to each deal.
Then ask one question of each: is this still hard, or just historically hard? Hard the way it used to be, when a person had to do it all by hand or with an outdated tool.
In many situations in my work with go-to-market teams, it's the second one. The constraint is gone with hybrid human+AI teams. But you still work the same way.
That's the whole exercise. It takes ten minutes and brings up the work your team wrote off that's now worth another look. You need to catch yourself saying "not worth the effort" and ask whether that's still true.
That's how you start rethinking what's possible, not just doing the same work faster.
The carousel below shows six things AI can now do at scale that a team can't on its own, and the workflow each one opens up. You still set up, guide the process, and make the final call. But AI makes more of the work doable.
Thursday (July 9), I'm sharing five GTM workflows teams are rebuilding on exactly this, and where the human stays in control of each. It also includes key insights for leaders helping their teams reimagine work.
What's one task your team stopped doing, or never started, that might be worth another look?
<end of post>
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