The best LinkedIn Posts

Wild: Elon Musk just said AI traffic is about to overwhelm the human internet. Meanwhile, Cloudflare predicts bots could generate 1,000x more traffic than humans within 5 years 😳

That sounds ridiculous until you look at what is already happening.

In May, non-human traffic crossed 50% of HTML requests on Cloudflare’s network. The latest split is roughly 60.6% bots vs. 39.4% humans.

And it happened more than a year earlier than Cloudflare originally expected.

The reason: humans browse at human speed. Agents don’t 🤖

One shopping request might mean 10 pages for you.

For an AI agent, it can mean thousands of searches, API calls, comparisons, and checks running in parallel.

The numbers get wild pretty fast:

↳ Cloudflare says machine traffic could reach 1,000x human traffic within five years
↳ AI agents can generate roughly 450% more network traffic per task than humans
↳ Agentic AI could push enterprise network traffic ~9× by 2035
↳ Musk says 100,000 Starlink V3 satellites could theoretically deliver ~100 Pbps of capacity

But bandwidth may not be the biggest disruption.

The internet’s business model was built around human eyeballs: ads, pageviews, clicks and conversion funnels.

Agents don’t care about any of those. They care about access, APIs, permissions, price, and speed.

Humans built the internet. AI agents may soon become its biggest users.

P.S. also check out How to Build an Agentic OS with Claude Fable 5 🤖: https://lnkd.in/dZsST5qR

Looking backwards is the #1 mistake of 80% of the people who see this in their feed right now - pls pls pls put the system in place to allow you to forgive, learn and most of all move on from the past ❤️‼️

Read this twice...

You're letting people who've never tried decide what you're allowed to attempt.

They don't get a vote. They never did.

You can just do things.

-DM

Two of his best people asked to stop working together.
Their manager had misdiagnosed the problem.

One did her best thinking before the office filled up. The other did his best thinking out loud, in the corridor, at the coffee machine, in the middle of somebody else's meeting.

The manager tried the usual moves. Mediation. Shared objectives. A team lunch. None of it changed anything.

The working day had one shape and two people who refilled their energy in opposite directions were being asked to run at the same tempo, in the same room, on the same calendar, and to call the friction a relationship problem.

So he stopped treating it as a relationship problem.

He redesigned the week around how each of them recovered attention, not around how they got along. Protected focus blocks in the morning for the one who needed silence to think. Standing collaborative sessions in the afternoon for the one who thought by talking. Overlap only where the decision genuinely required both of them in the room.

The pairing did not become friendly. It became productive, which is a different and more useful thing.

Most of the introvert/extrovert advice online treats the difference as a communication style. That is the visible layer. Underneath sits a plainer fact: how energy and attention gets restored. Solitude for one, other people for the other. The workplace almost never designs for that. It designs for presence.

The design questions I would ask any leader sitting with a pair like this:

→ Where in the week does each of them actually recover attention, and does the calendar protect it or eat it?

→ Which decisions genuinely need both in the room, and which ones are only there out of habit?

→ What is the meeting rhythm rewarding, thinking or speaking, and is that the rhythm the work needs?

The pair is not the problem. The shape of the week is.

Up to you to decide whether the friction on your team is a personality mismatch, or a design choice nobody has revisited.

If you lead a team with quiet contributors on it, my free weekly note for The A+ Introvert covers how to redesign the working week around how attention actually gets refilled, including the daily energy audit I use with leaders:
https://lnkd.in/eSdKpkMs

LinkedIn is one of the most underused platforms in influencer marketing.

It also has the highest quality audience of any platform.

Decision makers, founders, operators, investors.

People who can actually buy.

That makes it the best channel for B2B,

And it works well for solid B2C brands too.

We have worked with more than 100 AI and tech partners in this area.

Which puts us among the top players globally by number of LinkedIn partnerships.

Here is what I see over and over:

A brand tries one post,
Picks the wrong partner,
Gets nothing,
And writes off the channel.

That is not a test.

That is flipping a coin and calling it data.

1. Testing is the whole game

Unless you already have content that is verified to perform,

You need a few rounds to find the angle, the format and the voice that works.

The winners then get repeated.

2. The partner matters more than the budget

Audience overlap and trust beat follower count every time.

Make sure this profile is trusted by other brands before considering.

3. Hard selling is the worst strategy

Trying to squeeze maximum value out of one post kills it.

Natural integration and ambassadorship win.

Some of our partners see 5x ROI and thousands of clicks from a single post,

And it comes from content people actually want to read.

4. Think in quarters, not posts

Repeated presence with the same trusted voice compounds.

We have brands we have worked with since I started posting on LinkedIn years ago.

5. Fix what happens after the click

Half of failed campaigns are a funnel problem, not a content problem.

6. Measure the right thing

Views and clicks are not always the goal.

Someone might see your content today and become a customer months later.

The real metric is long-term campaign performance.

The horizon is months, not days.

LinkedIn influencer marketing is not expensive or unpredictable.

It is just done badly most of the time.

The key is not to start blindly, but to know what to do.

This is the decisive factor between making it work and giving up.

P.S. Have you tried LinkedIn influencer marketing? What results have you seen so far?

♻️ Repost so LinkedIn marketing gets the attention it deserves and helps more businesses grow.

20 benefits of knowing personality types as a leader:

For your team

• Richer brainstorming sessions
• Smoother conflict resolution
• Personalized development
• Fewer misunderstandings
• Improved communication
• Creative problem-solving
• Stronger team cohesion
• Efficient work allocation
• Reduced stress levels
• Greater engagement

For you:

• Greater resilience
• More adaptability
• Stronger influence
• Enhanced empathy
• Deeper connections
• Heightened intuition
• Increased confidence
• Better self-awareness
• Clearer communication
• Sharper decision-making

Every great leader knows:

Understanding your team is the first step to success.

Why this matters?

It reveals how each team member:

➟ Thinks and processes information
➟ Interacts and communicates
➟ Responds to stress and conflict

Armed with this knowledge, you can:

➟ Tailor your leadership style
➟ Enhance team synergy
➟ Boost overall productivity

Save this sheet.
Share it with your team.
Use it as your daily reference.

P.S. Which personality model do you find most useful?

♻️ Find this valuable? Repost to share it.

P.S. 📌 Want a high-res PDF of my Personality Types cheat sheet?
Get it free: https://lnkd.in/ec9ibCvQ

>> 98 AI courses. $0.

From Harvard, MIT, NVIDIA, Google and more.

Your AI curriculum is already online.

Most people still think getting good at AI means buying another $2,000 course.

It doesn’t.

I pulled together 98 free learning resources from OpenAI, Anthropic, Google, Microsoft, Harvard, MIT, NVIDIA and leading university lectures.


📌 Get all 98 Links to the courses in my free newsletter: https://lnkd.in/eFNvmcYa


And this isn’t just “AI for beginners.”
The list covers prompt engineering, reasoning, RAG, Claude and ChatGPT workflows, AI agents, APIs, machine learning, deep learning, CUDA, transformers and responsible AI.

OpenAI Academy is actively expanding its practical learning library, Google still offers hands-on ML training, and NVIDIA says many of its self-paced courses are free.

Here 9️⃣ from Nvidia:

1️⃣ Agentic AI Explained: https://lnkd.in/eFBiM5aY

2️⃣ AI for All: From Basics to GenAI Practice: https://lnkd.in/eNjPi3gs

3️⃣ AI Infrastructure and Operations Fundamentals: https://lnkd.in/eNjPi3gs

4️⃣ Augment your LLM Using Retrieval Augmented Generation: https://lnkd.in/eCaBEsPS

5️⃣ Building A Brain in 10 Minutes: https://lnkd.in/etnQwFRA

6️⃣ Fundamentals of Accelerated Computing with CUDA C/C++: https://lnkd.in/eDdHXy9W

7️⃣ Generative AI Explained: https://lnkd.in/ewdNQN5h

8️⃣ Getting Started with AI on Jetson Nano: https://lnkd.in/eXt8nmZu

9️⃣ Introduction to Transformer-Based Natural Language Processing: https://lnkd.in/etP3ErYx

The bigger point is simple: access to high-quality AI education is no longer the bottleneck.
Execution is.

Pick one track.
Spend 30 minutes a day.
Build something with what you learn.

A year from now, that habit will matter far more than collecting another certificate.

Which AI skill would you learn first if the best material already cost you nothing?

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♻️ Repost to share with your network
➕ Follow me https://lnkd.in/gjUQk7HF for cutting-edge AI insights

Join 600,000+ professionals using AI to stay ahead:
🔗 https://lnkd.in/eFNvmcYa


#AI #ArtificialIntelligence #GenerativeAI #FutureOfWork #Learning