The AI Outlook (From an Operator’s Seat)
Yesterday, I joined Dapple AI’s AI Outlook 2026, and it was genuinely one of the more insightful conversations I’ve heard recently, not because it hyped the future, but because it grounded it.
Here’s the biggest takeaway I can’t stop thinking about:
The people getting “left behind” by AI aren’t human operators. They’re operators who are resisting change.
That distinction matters!
What’s emerging isn’t a future where AI replaces thoughtful, capable operators, it’s one where operators who learn how to work with AI gain leverage, clarity, and speed… and those who refuse to engage quietly lose relevance.
And yes, starting IS intimidating.
New tools, new language, new ways of thinking about work. That discomfort is real. But tell me this honestly, when has anything worth doing ever been easy?
You want to get in shape? The beginning is brutal. You don’t know the movements, everything feels awkward, and progress is slooooow. But once you learn the fundamentals, you grow, physically and mentally. 💪
AI works the same way!
At first, it’s clunky. You don’t know what to ask. You don’t trust the output. It feels like more work, not less. But once you understand the basics (how to prompt, how to validate, how to integrate it into your workflows) your capacity expands.
Not because AI is “doing your job,” but because it’s removing friction so you can do the real work:
judgment
prioritization
decision support
orchestration
🔮 That’s the future for operators.
Not louder productivity, not chasing every new tool, but quietly building fluency, and compounding it.
A Real Operator Example (What This Actually Looks Like)
Here’s a simple, real-world way I’m seeing EAs and Chiefs of Staff use AI well, without over-engineering anything.
Scenario:
Your exec comes out of a packed day of meetings and asks,
“What do I actually need to follow up on?”
Instead of manually combing through notes, Slack threads, and calendar invites, an operator will:
Drop meeting notes, agendas, or transcripts into an AI tool
Ask it to:
identify decisions made
surface unresolved questions
flag follow-ups that require executive approval
Sanity-check the output (this part matters)
Deliver a clean, executive-ready summary:
Decisions made
Decisions pending
Action items + owner
What changed here isn’t effort, it’s leverage.
The operator didn’t “automate themselves out of a job.” They moved up the stack, from note-taker to decision curator.
The Operator Tip
If you’re intimidated by AI, don’t start by trying to automate everything.
Start here:
One meeting
One inbox batch
One recurring pain point
Use AI as a first draft, not a final answer.
Your value isn’t the summary, it’s knowing what matters, what’s missing, and what your exec needs to see first.
That judgment is still very human.
The Future of Shopping? AI + Actual Humans.
AI has changed how consumers shop by speeding up research. But one thing hasn’t changed: shoppers still trust people more than AI.
Levanta’s new Affiliate 3.0 Consumer Report reveals a major shift in how shoppers blend AI tools with human influence. Consumers use AI to explore options, but when it comes time to buy, they still turn to creators, communities, and real experiences to validate their decisions.
The data shows:
Only 10% of shoppers buy through AI-recommended links
87% discover products through creators, blogs, or communities they trust
Human sources like reviews and creators rank higher in trust than AI recommendations
The most effective brands are combining AI discovery with authentic human influence to drive measurable conversions.
Affiliate marketing isn’t being replaced by AI, it’s being amplified by it.
AI for Dummies (Because I was Confused Too)
I’ll be honest for a second, I was confused at first too.
People throw around words like AI, agents, automation… and suddenly it feels like everyone else got a manual you missed.
So here’s the simplest way to think about it.

What AI Is (In Kid Terms)
AI is like a super fast helper.
It can:
read a lot of words really quickly
help you organize things
help you write a first version of something
It does not think for you.
It does not know what’s important unless you tell it.
What an “AI Agent” Is
An AI agent is just AI with instructions.
Imagine you’re explaining a task to a babysitter or a new helper:
You say:
Here’s what your job is
Here’s how I like things done
Here’s what matters most
An AI agent is the same thing, you’re just writing it down instead of saying it out loud.
Why People Get Confused (Including Moi)
Because no one explains it like this.
They make it sound:
complicated
scary
way more technical than it is
In reality, if you can explain a task to another human, you can explain it to AI.
What AI Is Good At
AI is good at:
helping you clean up messy notes
summarizing long things
making a rough draft
AI is not good at:
knowing your boss
understanding office politics
making final decisions
That’s still your job (and your value).
The Only Thing You Need to Remember
AI helps you start faster.
You still:
review it
fix it
decide what matters
Think of AI as a helper, not a replacement.
If it feels confusing at first, that’s normal.
Everything useful feels confusing before it clicks.
We’ll keep breaking it down, slowly, simply, and without the tech jargon.
Try This in 5 Minutes (No Experience Required)
You don’t need to “learn AI.” You just need to try one tiny thing.
Step 1: Pick Something You Already Have (1 minute)
Grab one of these:
a messy meeting note
a long email thread
a doc you already wrote
Nothing new, np prep.
Step 2: Paste It Into Your AI Tool (1 minute)
Any AI tool you already have access to works.
Paste the text in and type this:
“Can you help me clean this up and tell me what actually matters?”
That’s it.
Step 3: Add One Simple Instruction (1 minute)
Now add one more sentence:
“Please list decisions, action items, and anything that needs approval.”
You just gave AI a job. 👏 Congrats, that’s an agent (even if we’re not calling it that yet).
Step 4: Read It Like a Human (1–2 minutes)
Quick gut check:
Is anything wrong?
Is anything missing?
Would this make sense to my exec?
Fix it, adjust it, use it or delete it.
Either way, you practiced (Kudos to you).
Why This Matters (Even If You Never Use It Again)
You just:
told AI what to do
told it what mattered
kept control of the final output
One Last Reminder
If this felt awkward or underwhelming, good. That means you’re at the beginning, not behind. Five minutes today beats “I’ll learn this later” every time.
We’ll build from here, slowly, simply, and together ☕🖤
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OOTEA Free Virtual Events
Update Office Hours ft Molly Medvecky Rescheduled
Quick update — our next Office Hours with Molly Medvecky, founder of EA Enneagram, has been moved to March 4th. Apologies for the schedule change, and thank you for your flexibility.
We’re still excited to welcome Molly for a live session on the Enneagram and how it actually shows up at work, from communication styles and stress responses to boundaries and day-to-day dynamics for EAs and operators.
If you’ve ever thought “I know my type, now what?” — this one’s for you.
New details below:
🗓️ March 4th at 12pm ET
🌐 Free & virtual
⏰ 45 minutes
💬 Cameras optional; coffee mandatory-ish (tea still welcome)
We’d love for you to join us for this free session, it’s practical, approachable, and designed to help you understand yourself (and the people you work with) a little better.
Community
💬 Join the conversation
Still thinking this through? Same.
We’re talking about it inside The Inner Office, our free Slack community for operators who want to compare notes and get unstuck faster.
Workday Anthem
🎶 Song of the Week: “Upgrade U” — Beyoncé feat Jay-Z
For anyone who’s decided: I’m learning the tool, not arguing with the future.
Follow our Spotify playlist for inspo! 🎧




