GrowthPath Partners LLC

Empowering Purpose-Driven Growth

Liza Adams

How to Show Up Well in AI: Be Your Best Self

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The best way to show up well in AI isn’t to game the algorithm.

Much like the most powerful AI coding language is plain English, the most powerful AI search algorithm is being the best version of yourself.

Read what I mean in the comments. 👇

AI judges companies by how they treat employees – https://www.linkedin.com/posts/lizaadams_while-youre-tweaking-your-website-for-ai-activity-7351599519182016512-Oi4b

AI also evaluates how companies treat candidates – https://www.linkedin.com/posts/lizaadams_yesterday-i-posted-how-ai-judges-companies-activity-7351961303755706369-86jt

When AI Judges Your Brand Before Humans Do – https://www.linkedin.com/posts/lizaadams_ai-is-already-deciding-whether-to-recommend-activity-7349064667295535104-b95d

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AI & GTM Leadership: Build AI-Powered Teams

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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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AI & Go-to-Market: Build Strategic Teams

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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.

Podcast episode image

View it on Youtube

Listen on your fave streaming platform

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AI in Construction: Humans Stay Essential

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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.

Liza Adams on a construction site

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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Construction Careers: Humans Essential, AI Empowered

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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

See original post here