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You've heard AI can't be trusted with numbers that matter, but that changed.AI now runs analysis in a fraction of the ti...
10/09/2026

You've heard AI can't be trusted with numbers that matter, but that changed.

AI now runs analysis in a fraction of the time and turns results into dashboards your whole team can use. Trust comes from the process, not the tool.

⏱️ Analysts spend about 10.5 hours a week collecting and prepping data.

Our next Imagine the Future of Work Forum shows how:
AI for Data Work, What's Now Possible.
4 Case Studies on Efficiency & Incredible Outputs.

📊 What Claude, ChatGPT, and Gemini can do with your data today
🌍 4 case studies, including a pilot that saves analysts an estimated 70 to 80% of their extraction time
🙋 Open floor: bring the report your team is stuck on

Jess Gergen, Founder and CEO of Visualst, shares two real projects, including where it got sticky.
Nathaniel Reagan, Founder & Lead AI Trainer, opens and presents two case studies.
María Pahigiannis, Director of Partnerships & Change Management, brings 20+ years guiding teams through change.

📅 Tuesday, October 20 | 9 AM PT / 12 PM ET
💻 Live on Zoom. Free. Everyone who registers gets the recording and recap.

👉 Comment "FUTURE" and we'll send you the link.

The hype got it wrong. But the full story has a part the slides leave out.Jobs aren't vanishing overnight.Work is shifti...
10/05/2026

The hype got it wrong. But the full story has a part the slides leave out.

Jobs aren't vanishing overnight.
Work is shifting, and not evenly.

📉 Where it hurts: Workers ages 22 to 25 in the most AI-exposed jobs now sit about 19% below where their employment would be otherwise, up from 15% a year ago.

The drop comes from fewer hires, not more layoffs. (Stanford Digital Economy Lab, Aug 2026)

🧠 Where it holds:
Where AI works alongside people, employment stays flat or grows, especially for experienced workers. (Stanford)

🔧 The real gap is skills: Nearly 40% of job skills will change by 2030, and 63% of employers call the skills gap their top barrier.

Out of every 100 workers, 59 will need new skills.
11 of them likely won't get the training. (World Economic Forum, 2025)

🪞 Wide adoption, shallow use:
69% of firms use AI, but executives spend only about 1.5 hours a week with it.
Executives expect AI to cut jobs by 0.7% over three years.
Workers expect jobs to grow by 0.5%. (NBER)

Put it together; AI cuts deepest where it automates the work.

It helps most where it backs up human judgment and judgment grows from real experience.

So the question isn't "Will AI take my job?" It's "Am I building what AI can't copy?"

We dig into this every month in our Imagine the Future of Work Forum.
Next up: Data and Evidence Work, where AI earns trust and where it breaks down.

📅 Tuesday, October 20th
⏰ 9 AM PT / 12 PM ET / 6 PM CAT
💻 Live on Zoom. Free.

👉 Comment "FUTURE" and we'll send you the link.

10/03/2026

Some of the best thinking doesn't happen at a desk.
It happens on a walk and that's exactly where AI can catch it.

Here's why this works: the average person speaks at about 150 words per minute, but types only 40-60.
That's up to 3-4x faster, and Stanford research backs it up dictation beats typing by roughly 3x, with modern tools hitting 99% accuracy.

So open a voice app; Whisper Flow, Willow, Hex or Otter.
Just talk: An email, a project plan, a content idea.

The app captures everything, and back at your desk, AI turns that messy transcript into a structured first draft.

And because the transcript's saved, a week later you can ask: "What was that idea I had?" It's all still there.

That's augmentation.
AI isn't replacing the thinking, It's capturing it, structuring it, and helping you move faster.

Want more workflows like this one, plus a full breakdown of how to build your own AI system?

👉 Comment "UNLOCK" and we'll send you the link to register for our FREE LIVE AI Masterclass online.

Feeling behind on AI isn't a you problem. 86% of people are already using it, only 24% feel like they actually know wha...
09/30/2026

Feeling behind on AI isn't a you problem. 86% of people are already using it, only 24% feel like they actually know what they're doing (Skillsoft, 2026).

More tools won't fix that gap.
Research from Harvard Business Review found the opposite: using fewer tools, but using them well, tracks with real productivity gains. Piling on more just creates fog.
They call it "AI brain fry."

Here's the reframe: you don't need another tutorial.
You need a system.

Pick one tool. Push it until it breaks on a real task, not a demo.
Then widen it, bring it into your emails, your research, your first drafts and build a Context Library so it always knows your voice and your standards.

No task, no tool. That's the whole rule.

This is the exact roadmap we teach inside our 4-week Bootcamp, real fundamentals, real projects, a community doing it alongside you.

📅 Next cohort: October 22nd. Limited seats.

Start with our FREE LIVE Masterclass.

👉 Comment "UNLOCK" and we'll send you the link.

09/29/2026

It's not your fault you're using the wrong Claude model.
Most people don't even know there's a choice to make.

Claude has four models, and each one is built for a different job.

Haiku is fast and light, perfect for volume tasks like cleaning up formatting or sorting rows, nothing that needs deep thinking.

Sonnet is the everyday model, coding, research, real knowledge work. Most people should default here.

Opus is built for reasoning-heavy, enterprise-grade problems with a lot of moving parts.

And Fable is the most capable model Anthropic has made, the one you reach for when nothing else gets the job done right.

Here's the part most people miss: picking the biggest model "just in case" doesn't just slow you down. It can cost up to 10x more per token than the model actually built for the task.

Default to the model built for the job, not the biggest one on the list.

Want to go deeper on this (and everything else AI can actually do for your work)?

👉 Comment "UNLOCK" for your free spot in our FREE LIVE AI Masterclass and our October Bootcamp.

09/28/2026

230 hours back.

A 50-page, $4M grant proposal.
4 programs, 4 years of budgets and KPIs, a full theory of change.
One week to build it.

Most people hear "300 hours turned into 70" and assume: "Oh, they had Claude write it."
That would've been a disaster.

Here's what actually happened:
the team organized the full context first.
Built the reference material Claude needed.
Made a human call at every single step.

The real story isn't the 230 hours saved.
It's what that time went toward instead, strategy, narrative, program design.
The parts a funder actually reads for.

Right now, 85.6% of nonprofits are exploring AI.
Only 24% have an actual strategy for it.
That gap is exactly where projects like this one live.

That's what augmentation looks like when it's done right.

👉 Comment "FUTURE" and we'll send you the link to our next Future of Work Forum.

A nonprofit had two months of strategy already locked in.Then the deadline moved up.One week left. 50 pages. 4 programs....
09/26/2026

A nonprofit had two months of strategy already locked in.
Then the deadline moved up.
One week left. 50 pages. 4 programs. $4M on the line.

A proposal like this normally takes 300 hours and 2 months to write.

They didn't automate it.
They augmented it, organized the context, built technical guides, created the outline, then drafted section by section with a human checking every detail and AI acting as a critic along the way.

The result: 70 hours. One week. Same experts. Same judgment, just faster.

The hours didn't disappear.
They shifted away from formatting and rewriting, toward the strategic thinking only a human can do.

That's human-centered AI augmentation.
AI didn't replace the experts. It gave them their time back.

Want the real case studies and the playbook behind them? Join us live.

📅 Future of Work Forum, Tuesday, Sept 29 | 9AM PST / 12PM EST

👉 Comment "FUTURE" and we'll send you the link.

🎟️ Free for our community with promo code: NPLF100We are partnering with the Non-profit Leaders Forum of DMV, a communit...
09/24/2026

🎟️ Free for our community with promo code: NPLF100

We are partnering with the Non-profit Leaders Forum of DMV, a community of 3K+ members to show them how AI can be used to do complex grant writing applications with 1/4 the usual resources and time.

But it's not as simple as asking AI to write your grant. The quality necessary for a winning application takes advanced AI augmentation. We'll be presenting what that is step by step.

You'll see real examples of how nonprofits can use AI to respond to more funding opportunities. And how more time can be spent on the human aspects of brainstorming, strategy and planning, and less on the mundane.

If you're a nonprofit leader, find the link in bio and join us.



We are partnering with the Non-profit Leaders Forum of DMV, a community of 3K+ members to show them how AI can be used to do complex grant writing applications with 1/4 the usual resources and time.

But it's not as simple as asking AI to write your grant. The quality necessary for a winning application takes advanced AI augmentation. We'll be presenting what that is step by step.

You'll see real examples of how nonprofits can use AI to respond to more funding opportunities. And how more time can be spent on the human aspects of brainstorming, strategy and planning, and less on the mundane.

If you're a nonprofit leader, find the link in bio and join us.

09/23/2026

Most AI spending right now is fear dressed up as strategy.
It's not your fault, nobody's taught the difference between the three groups.

Group 1: FOMO spenders. Big budget, every new tool, no real plan.

Group 2: Automators. They skip straight to "let AI run it" before the human checkpoint even exists, so nothing catches the mistake before it ships.

Group 3: Augmenters. They build the playbook first. Then they let AI execute it.

The data backs this up:
95% of AI pilots are producing zero measurable ROI right now (MIT, 2025). Most of that failure isn't the tool.
It's the missing plan.

The companies still standing when the dust settles?
Augment first. Automate second. Strategy stays human.

Want to see how this actually works?
We break it down with real case studies inside our Future of Work Forum, a monthly space for leaders, managers, and founders who want to build the playbook before everyone else catches up.

Next one: September 29th.

👉 Comment "FUTURE" and we'll send you the link.

08/26/2026

Most companies now call AI literacy a baseline skill, not a nice-to-have. Most training programs still stop at level one.

AI literacy isn't a single skill. It's five, stacked, and most teams only ever reach the bottom rung.

Level 1: Prompting with real intent. Knowing what outcome you actually want before you type anything. Most training stops here.

Level 2: Context and templates. Feeding AI your tone, your standards, your examples, so the output sounds like you instead of a generic chatbot.

Level 3: Repeatable workflows. Turning a good prompt into a process your whole team can run the same way twice.

Level 4: Connection across tools and teams. Getting your AI work to talk to your other systems, instead of living in one browser tab.

Level 5: Building and governing. Systems that act on their own, with a human accountable for what they do.

Most organizations are stuck between one and two, and don't know it. That gap is exactly what shows up as wasted budget and stalled pilots.

On August 26, Jen Seregos walks through all five levels and helps you place your own team on the ladder.

Comment FUTURE and we'll send you the registration link. 👇

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