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AI & GTM Leadership: Build AI-Powered Teams

Liza Adams · July 27, 2025 ·

If you’re catching up on ideas this weekend, here’s a conversation that might shift how you think about AI and go-to-market leadership.

I joined Barb VanSomeren and Alec Cheung on the The Marketing Share Podcast to talk about what it actually takes to build AI-powered teams, not just tools. We got into the structural, strategic, and sometimes uncomfortable questions leaders are facing right now.

Topics we covered:

  • Using AI as a strategic thought partner, not just a content engine

  • Building AI teammates to scale thinking and reduce handoffs

  • The risks of automating broken processes

  • Why lean teams are often ahead of the curve

  • What most marketers miss about AI search and visibility

If you’re leading a marketing or go-to-market team, this one’s worth a listen. See the link in the comments for the full episode.

Thank you Barb and Alec for a sharp, thoughtful, and fun conversation.

AI and GTM Leadership

View it on Youtube

Listen on your fave streaming platform – The Marketing Share Podcast

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Construction Careers: Humans Essential, AI Empowered

Liza Adams · July 25, 2025 ·

When you show up to a construction site tour in sandals, Procore Technologies has you covered. Steel-toed boots, socks, gloves, hard hat, safety vest, and glasses. I was stylin’ 🤣

This week, I led a strategic AI workshop for Procore marketing executives in Austin. At lunch, we joined their Construction Technology Camp where fifteen middle schoolers were learning about careers in construction and construction technology.

This is what I love about my job. I get exposed to all sorts of industries from insurance and medical to automotive and construction.

Microsoft just released data showing which jobs are most and least affected by AI. (See more details in comments) Many of the careers these students were exploring scored low for AI applicability. Concrete finishers, roofers, HVAC, civil engineers, architects. Jobs that need hands-on skill, complex problem-solving, and making judgment calls in messy real-world situations.

We toured an active construction site in the building. Then we saw a Boston Dynamics robodog surveying the site, collecting daily progress data.

The humans were still designing, building, problem-solving, and managing the complex work of construction. But now they have better data to make decisions faster.

These students are discovering careers where humans stay essential, even as technology changes the tools around them. They’re learning to work alongside technology that makes them better at what they do.

The future of work is about people who can bridge both worlds.

Shoutout to Procore for investing in the next generation and showing what people-first, AI-forward really looks like.

Christine Cefalo, Angie Hill, Kathryn Hoefs McTighe, Kristopher Lengieza, Dan Silmore, Thomas Gunter, Brian Payne and team, thank you for having me. I’m grateful to be a part of your AI journey.

Allie K. Miller posted this week the list of the 40 jobs most AI-applicable and the 40 jobs least AI-applicable based on the Microsoft report: https://www.linkedin.com/posts/alliekmiller_microsoft-just-released-their-list-of-the-activity-7353864207102009345-E5yG

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Connect Your AI Teammates, Reshape Your Role

Liza Adams · July 24, 2025 ·

Your role changes when your AI teammates start working together.

Most teams brief each Custom GPT teammate separately and lose context in handoffs. Trailblazing teams connect AI teammates so expertise flows seamlessly from positioning to content to campaigns. One conversation, full context.

Harvard research with P&G professionals shows that when people work with AI, “you stop caring as much about the normal boundaries of your job.” Connected AI teammates speed up this transformation. Your positioning expert’s GPT works directly with your content expert’s GPT. Knowledge flows where customers need it, not where org charts say it should.

This week’s newsletter explores:

  • Why most teams get stuck using AI individually instead of as connected systems

  • How to build your first AI chain that combines multiple areas of expertise

  • The three phases of AI adoption and why Phase 3 transforms your role from doing tasks to strategic work and orchestrating AI systems

  • Real examples of teams rethinking work around customer outcomes, not org charts

  • How a GPT Navigator helps you pick the right teammates for any project

Teams connecting their AI are working differently. They eliminate handoffs instead of managing them while discovering their jobs are evolving in the process.

Work is shifting around what customers need, not what our org charts say. Chained GPTs show you what that future looks like.

Read the full issue below. There’s also a 16-minute AI podcast version in the comments for those who prefer to listen while multitasking. See link in the comments.

Huge thanks to Angie Hill (SVP of Growth and Integrated Marketing at Procore Technologies) and Maggie Miller (Senior Director of Corporate Marketing at HackerOne) for sharing how chaining AI teammates is changing their approach to collaboration and strategic work.

The infrastructure is here. Will you keep working with AI teammates individually or start chaining them together?

Share this with your team and others to inspire them with this vision and approach to transformation.

Here’s the 16-min AI podcast version of this newsletter. Listen to it while driving, walking the dog, or having lunch 😉 https://drive.google.com/file/d/1jxXSd1t8P9F5utQ_wHMtFNzQMucc_y0F/view?usp=sharing

Once you hit play, give it just a few seconds then it will start.

Disclaimer: This podcast was generated by AI based on this written newsletter and reviewed by me to ensure ethical and responsible AI use. It’s designed to provide an efficient, more inclusive way to consume information.

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Connect Your AI Teammates: Ditch the Handoffs

Liza Adams · July 23, 2025 ·

Which AI teammates do you need for your next project?

Most teams use custom GPTs one at a time, briefing each AI teammate separately and losing context in handoffs. But your messaging AI could feed directly into your content AI, which then connects to your social AI… all in one conversation.

This is how work should flow when expertise can move freely instead of getting stuck in department silos.

Try the GPT Chain Planner (see link in the comments). Choose a workflow and get a suggested blueprint for connecting AI teammates that eliminate handoffs.

See which GPTs to build, how they connect, and why each step builds on the last. No more re-explaining context. No more lost insights.

Teams using this approach are rethinking how knowledge flows to serve customer outcomes rather than org charts. The gap between “who knows what” and “what needs to be done” shrinks.

AI doesn’t care about our silos and neither do our customers.

My upcoming newsletter shows the frameworks, demos of GPT chains in action, and why connected AI teammates is a stepping stone from org charts to work charts.

Subscribe to the newsletter (link in comments) to get it directly in your inbox.

GPT Chain Planner

Subscribe to the newsletter

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Chain Custom GPTs: Transform Your AI Workflow

Liza Adams · July 22, 2025 ·

Do you connect multiple Custom GPTs in one ChatGPT conversation? Answer in the poll below.

If you picked anything other than “Yes, regularly” – this will change how you work with AI.

When you “@mention” different GPTs in the same conversation, they build on each other’s work instead of starting fresh each time. It’s similar to how we tag people on LinkedIn.

Your research GPT gathers competitive intel → @Pitch Deck GPT turns insights into compelling slides → @Press Release GPT drafts the announcement → @CEO Digital twin GPT reviews it in the CEO’s voice and style.

One conversation, full team of experts, zero re-briefing.

It’s simple yet so powerful. Probably one of the most underrated and underused features of ChatGPT despite being available for over a year and a half!

Why has it flown under the radar? You need multiple Custom GPTs to make chaining valuable, and most people haven’t built them.

Most teams lose context in handoffs between AI teammates. Some teams are chaining them together.

Teams using this approach are reimagining how work flows when expertise can move freely across boundaries instead of getting stuck in department silos.

Find out how to build your first chain, see a chain in action, and understand why this creates competitive advantage in my upcoming newsletter.

Subscribe to the newsletter (link in comments) to get the full breakdown.

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