Carroll Communications Group

06/10/2026

Most nonprofits are planning to bring in AI to take pressure off their overstretched teams.

The way most are planning to do it will make their best people more overwhelmed, not less.

Here's why. Most nonprofits run on the knowledge, relationships, and institutional memory of a few key people. And that knowledge lives entirely in their heads. The moment AI enters the picture, every piece of work it produces still needs that person's judgment before it can move forward.

The bottleneck doesn't go away. It gets heavier.

This week we break down why the strongest person on your team is about to become your biggest AI bottleneck, and what the leaders getting this right are doing before they ever touch a tool.

Click the link below:
https://f.mtr.cool/cpkgoexlte

05/26/2026

Most organizations assume younger workers will naturally lead AI adoption in the workplace.
The data tells a completely different story.

Younger workers don't distrust AI. They distrust what organizations plan to do with it and that's one of the most important things leadership teams are missing right now.

Nearly 1 in 5 Gen Z workers fears AI will eliminate their job within two years. Excitement about AI among Gen Z dropped 14 points in a single year. 61% of Gen Z and millennials worry AI will make it harder for younger generations to enter the workforce.

Leadership is moving faster on AI deployment than most organizations realize their employees are moving in the opposite direction emotionally.

This week CCG's Marc Carroll makes the case that AI adoption is failing not because of the technology but because of trust. And the organizations that don't address it now will feel it in ways they never expected.

Click the link below:
https://f.mtr.cool/jyeedkdepd

05/21/2026

Many organizations still think AI adoption starts after leadership formally introduces it into the workplace.

Meanwhile, employees are already integrating AI into the normal workday on their own.

That creates a very real operational issue when departments begin using AI differently without consistent expectations around communication, quality, accountability, review, or workflow standards.

In this week’s newsletter, CCG's Marc Carroll explores what he calls “Shadow AI” and why leadership teams should understand what’s already happening inside their organizations before inconsistent AI habits become deeply embedded into the workday.

Click below to read the newsletter:
https://f.mtr.cool/ephtrtgxry

05/15/2026

Businesses are adding AI agents at the speed of AI, but employees need more than access to the tools.

They need clarity around how AI should support their work, where human judgment still matters, and what leadership expects moving forward.

The organizations getting the most value from AI are not the ones using it the most. They’re the ones using it with the clearest expectations.

I break this down in this week’s newsletter.
https://f.mtr.cool/zzpagycwog

05/05/2026

Adding an AI agent should reduce workload. That’s what most businesses and nonprofit organizations expect.

But in a lot of cases, the first agent creates more work before it removes any.

Someone still has to review the output. Decisions still need to be made. Leadership still gets pulled in because the role wasn’t clearly defined before it was introduced.

If you’re thinking about adding your first AI agent, this is worth reading before you do.

👉 https://f.mtr.cool/dxbajqddmi

04/22/2026

AI is making things more expensive for business owners.

Not because the tools cost too much, but because a lot of businesses are creating more work than they can execute cleanly.

More drafts. More ideas. More output.

But the same business is still trying to manage all of it with unclear ownership, weak follow-through, too much back-and-forth, and too many things still routing through one person.

That’s where the higher expense shows up.

Time. Rework. Delays. Inconsistency.

I broke this down in this week’s newsletter:
https://f.mtr.cool/vcspsxopga

04/15/2026

A lot of businesses are improving their prompts and still not getting the business results they expected from AI.

That usually means the issue isn't the prompt.
It's what happens after the output is created.

If ownership is unclear, if follow-up is inconsistent, or if the workflow is weak, AI does not fix that. It exposes it.

That is why AI can feel productive and frustrating at the same time.

In this week’s newsletter, we break down where better prompts help, where workflows start to fall apart, and what businesses need to fix to get real value from AI.

https://f.mtr.cool/mzbdbdoapg

03/31/2026

A lot of businesses think AI is causing inconsistency in how work gets done.

The more I look at this, the more I realize the issue is not AI.

It’s what AI reveals once speed gets introduced into the business.

That’s why it can feel helpful in one area and frustrating in another.

That’s what I focused on in this week’s newsletter.

Read it here:

A lot of businesses think AI is creating new problems. It’s not.