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Stop Teaching Kids AI Is Cheating

Liza Adams · August 10, 2025 ·

A CMO told me her son is heading to college completely anti-AI because his teachers convinced him it’s cheating. Meanwhile, I’m doing the opposite with my daughter. One of these kids is going to have a much tougher road ahead.

As a mom with a daughter also starting college in just a week, this is important to me. I’m working hard to teach my daughter to use AI the right way. We have ChatGPT Plus and Perplexity Pro on her phone, and I try to talk about AI with her.

But I’ll be honest, it’s not easy. At home, I’m just “Mom” who couldn’t possibly know anything about tech, even though I help companies with AI adoption every day.

The difference between these two kids feels like a big gap. One is entering college believing AI use is morally wrong. The other is learning to see it as a teammate. Both will need to work in a world where AI skills matter more and more, but they’re starting from very different places.

This “cheating” mindset shows up at all levels in the workplace. I was recently in an executive staff meeting where I was guiding AI plans. Two VPs had completely different views.

One VP said she felt uneasy using AI because it seemed like taking shortcuts. Another VP had the opposite view. He could tell when his team hadn’t used AI because the work wasn’t as strong. He’d ask why they hadn’t used it, the way you might ask why someone added up hundreds of entries by hand instead of using a spreadsheet.

But women need to pay closer attention to this. A study in The Economist found women use AI 16 to 20 percent less than men in the same roles, with the gap even wider among high-achieving women. Researchers point to beliefs about doing it on your own and avoiding what feels like shortcuts.

This matters because professionals who do use AI earn 8 percent higher salaries on average. We’re creating a disadvantage by teaching that AI use is wrong.

There’s a lesson for us parents, educators, and leaders. How we talk about AI today shapes tomorrow’s workforce. Instead of “AI is cheating,” we need to teach good judgment, the right way to use it, and the human skills that make AI truly valuable.

My daughter’s generation will work in a world where AI skills matter as much as reading or math. I want her to see AI as a teammate that makes her work better when used responsibly.

See original post here

GTM Leadership: What Skills Matter in the AI Era

Liza Adams · August 7, 2025 ·

The skills that made you a successful GTM leader are less relevant now.

Traditional resume metrics like “drove growth from $X to $Y, managed #-person teams, oversaw $Z budget” don’t guarantee success when markets change every quarter and AI changes how work gets done. Yet most hiring practices haven’t caught up.

The leaders making the biggest impact right now have different skills entirely. They understand buyers now start with AI before talking to humans. They use AI strategically, not just for creating content faster. They break down department silos instead of optimizing within them.

As GTM functions merge, your ability to adapt, think across functions, and guide teams through constant change matters more than your track record of execution.

This week’s newsletter explores:

  • Why the traits that built your career may not predict future success

  • The 5 leadership qualities that matter most in the AI era

  • How to assess whether you’re ready for GTM convergence

  • Measuring what actually drives business outcomes

  • Practical steps to develop these skills in yourself and your team

Everything we’ve been measuring and rewarding in GTM leadership are less important than traits most companies aren’t even screening for yet.

At some point, hiring practices will shift. This transformation is happening with or without us.

Read the full issue below. There’s also a 13-minute AI podcast version in the comments for those who prefer to listen while multitasking.

Huge thanks to Kate Bullis (Global Marketing and Sales Practice Leader at ZRG) and Christine / Chris Heckart (CEO of Xapa) for sharing their insights on what leadership looks like in the AI era.

If this resonates, share it with your network. The shift happens when GTM leaders start working differently and organizations start hiring for these new realities.

Here’s the 13-min AI podcast version of this newsletter to support different learning styles. Listen while driving, walking the dog, or having lunch 😉

https://drive.google.com/file/d/1MG453nInp2anajIwg8vD_PM_8AvrqZnm/view?usp=share_link

See original post here

Stop Hiring 2015 GTM Leaders for a 2025 Reality

Liza Adams · August 6, 2025 ·

Most GTM leadership job postings still sound like this:

  • ➡︎ Drove growth from $100M to $500M

  • ➡︎ Managed 200+ person global team

  • ➡︎ Oversaw $10M marketing budget

  • ➡︎ Led teams at Series C+ companies

  • ➡︎ Deep expertise in demand generation

I believe we’re still hiring for 2015 success criteria while operating in a 2025 reality.

The leaders I see making the biggest impact right now have different skills entirely. Instead, they:

  • ➡︎ Understand the buyer journey now starts with AI

  • ➡︎ Use AI to guide strategy, not just to create content faster

  • ➡︎ Break down the silos between marketing, sales, and success

  • ➡︎ Know that real growth is built on trust and a great product

  • ➡︎ Guide their teams through change with compassion and clarity

Traditional scaling credentials are less relevant when markets shift every quarter and AI changes how work gets done.

But most hiring practices haven’t caught up. We say we want people who can adapt and innovate, but we still hire based on team size and years of experience. We need leaders who can guide teams through constant change, but we keep looking for people who executed proven playbooks.

Your buyers have evolved. Your business has evolved. Maybe it’s time your hiring criteria did too.

I’ve been watching this play out and the gap keeps getting wider.

I’ll break down these 5 leadership traits in this newsletter: I discuss this in more detail in this newsletter: https://lnkd.in/ewveFV6w

See original post here

Unlock AI’s Full Value: From Execution to Strategy

Liza Adams · August 5, 2025 ·

Almost 3 years into GenAI, many teams are still using it the same way they did on day one. Help me draft a blog, revise this copy, summarize this long report. It’s helpful but if that’s where it stops, you’re not getting the full value.

This shows up in how teams work and how people talk about AI in job interviews. Many can explain how they use it to create content faster. Fewer can show how they use it to think better, to pressure-test decisions, and to get ahead of problems instead of reacting to them.

The GTM leaders making the most progress are doing two things:

  • They’re upskilling their teams, inspiring them with what’s possible with AI, and giving them the space to learn.

  • They’re more discerning in who they hire. They look for people who are curious, adaptable, and know that AI is a way to make better decisions.

As leaders, our job is to put our teams in a position to succeed. That means helping them build skills to make a bigger impact in the business but also investing in their careers as they grow, move up, or move on. AI is a big part of that now.

The chart below shows how the change in mindset and behavior is playing out across marketing functions. From using AI to execute, to using AI more strategically. I discuss this in more detail in this newsletter: https://lnkd.in/ewveFV6w

Where is your team today and where do you want to be six months from now? Which function do you think has the most untapped potential?

Chart showing change in mindset and behavior across marketing functions

See original post here

Guiding Teams Through AI Change

Liza Adams · August 4, 2025 ·

Christine / Chris Heckart and I have both led through every major wave of tech innovation, from the internet to mobile, cloud, SaaS, and now AI.

It’s always a privilege to team up with her to explore what it really takes to lead through change boldly, and with lasting impact.

This Friday (August 8), we’re diving into how to guide your teams through AI transformation, with insights from the latest McKinsey and Gartner research as well as practical ways to improve your odds of success.

Join us and sign up on Xapa using the link in the comments.

See original post here

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