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 Viral Brain
Liza Adams positions herself as a high-level AI Advisor and GTM Strategist who bridges the gap between rapid technological shifts and organizational evolution. Her content strategy centers on moving leaders from "AI as a tool" to "AI as a teammate," utilizing recurring frameworks like the five levels of AI evolution to provide a roadmap for go-to-market teams. She is notable for her radical transparency and technical pragmatism, often live-demoing unpolished workflows and "mystery shopping" her own brand to prove how AI search actually influences buyer shortlists. By operating at the intersection of GTM leadership and hands-on AI orchestration, Adams transforms abstract AI anxiety into actionable governance and "human+AI" operational models.
25.2K
7.8K
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5.0
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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…

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…
AI platforms shipped more capability in the last 8 weeks than in the previous 6 months: autonomous agents, desktop AI assistants, enterprise workflow tools all went live. Your team's security policies…
Anthropic spent ~$16M on two Super Bowl ads to tell people they were the ethical AI company. People noticed them but not enough to sway them in a big way. Three weeks later, the Pentagon demanded Ant…

A few years ago, I was in that CMO seat. Now when I work with marketing leaders, I know how much harder it's gotten. Do more with less, move faster, and figure out this AI thing while you're at it. T…

5.0 posts/week
Posts / Week
1.6 days
Days Between Posts
3
Total Posts Analyzed
HIGH
Posting Frequency
63.1%
Avg Engagement Rate
STABLE
Performance Trend
420
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.86/10
Uniqueness Score
YES
Question Usage
0.4%
Response Rate
Writing style breakdown
<start of post>
The gap between what AI can do and what your company allows is where the most frustrated people in your building live.
I spent the morning talking to a group of GTM leaders who feel like they are living in two different timelines. In one timeline, they are using Claude and ChatGPT at home to automate entire research projects in minutes. In the other timeline, they are waiting six weeks for a security review just to use a basic summarization tool.
This is the "messy middle" of AI adoption.
Most organizations are stuck because they are trying to apply 2019 software procurement rules to 2025 technology. It doesn't work. When the tech moves every eight weeks, a six-month review cycle is a death sentence for innovation.
► They separate "Self-Contained" work from "System-Connected" work. If the data stays inside the chat and doesn't touch the CRM, the guardrails are lower. This allows builders to start today.
► They focus on "Enablement" rather than "Control." The IT team's job shifts from saying "no" to providing the secure sandbox where people can experiment safely.
► They build "AI Teammates" for specific, narrow tasks. Instead of trying to solve "Marketing," they solve "First-draft objection handling."
I've seen this play out across five different tech waves. The people who win aren't the ones with the most powerful tools. They are the ones who build the organizational muscle to actually use them.
I go deeper into this framework in my latest newsletter: The AI Adoption Gap. You can find it here: https://lnkd.in/eg48-RXp
What is the biggest bottleneck in your org right now? Is it the tech, the policy, or the people?
<end of post>
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