Results my clients and I have gotten from our personal brands:

1. Me - Built a $300k per year business (that’s still growing) while investing $0 at the start and only having about $200 per month in expenses right now.

2. Marketing Agency Owner - Got 7 clients in our first 6 weeks work together, then steadily got at least 3 per month until he sold his business after 12 months.

3. SaaS Company CEO - Amassed hundreds of users and became a thought leader in the tech industry.

4. Venture Capitalist - Bought an 8-figure stake in a company after a founder DMed him because of a piece of content I created for him.

I could share 20+ more stories like those, but I think you get the point.

Having a powerful personal brand is a career cheat code, and I’ve cracked the code on building them.

Here are some ways you can do the same:

1. Apply to be one of my clients. I’m very careful about who I work with, but if the fit is right, I’d love to partner up.

2. Subscribe to my newsletter and get a free 45-page personal branding guide (10 viral post templates included).

3. Buy the last course I’ll ever sell. It covers everything in the personal branding game and is $100 off for the first 1000 buyers.

4. Book a 1:1 consultation. If you want personalized advice with no long-term commitment, this is the option for you.

Links to all of those are in my featured section.

And if you're not interested in any of them, just give me a follow. You'll still pick up a ton of useful info from my posts.

I'll see you on the timeline 🤝

Charles Miller

Copyblogger Media

Copyblogger teaches you how to generate high-quality online attention (with content and outreach) and turn it into profit (with copywriting and sales). Click below to join our community ↓

Want to grow on LinkedIn? Get my course (it's free) ↓

Results I've delivered to my clients and customers:

1. Freelancer - Went from 0 to $20k/mo in 5 months.
2. Agency Owner - Got 7 clients in our first 6 weeks.
3. Coach - Went from having 2 clients to 8 in 3 months.
4. Course Seller - 196% sales increase in 3 months.
5. SaaS CEO - Acquired 50+ paid users per month.
6. Founder - Sold his startup to a PE firm for $10m.
7. Influencer - Got 72,000 followers in 9 months.

I've also helped thousands of professionals get jobs, connections, and more.

Having a strong personal brand, great content, and persuasive copywriting is a cheat code, and I know exactly how to get all of them for any kind of creator. Especially ones that sell services.

Here's how you can do the same:

1. Join Copyblogger Academy. It gives you 6 courses, 10 ongoing education videos every month, expert Q&A, and a lot more. Your first month only costs $1. Hit the link in my featured section to join before prices rise.

2. Get hands-on help with your personal branding strategy, feedback on content, and direct growth assistance in my higher-priced LinkedIn Accelerator. DM me "Accelerator" to get more info on this.

I can't wait to work with you.

Founder

I sell a variety of products and services that help people write better, grow their social media pages faster, and increase their online earnings.

Turning Data Into Better Decisions | Follow Me for Daily Tips to Make You More Tech Savvy | Technology Leader & Entrepreneur

Working in technology for 18 years, I knew organizations and clients needed more help than industry was providing:

Here are some of the real challenges I saw clients and organizations facing:

🎯Feeling like people were throwing technology solutions at them without fully understanding the problem
🎯Knowing their data could be used for much more but not knowing how to do this
🎯Not having trusted and skilled advisors to be able to help them make technology decisions
🎯Feeling overwhelmed by the rate of technological change and not knowing where to begin
🎯Not having enough training or understanding to evaluate technology solutions
🎯Technology transformation failing because the people element was ignored
🎯Consultants not connecting the mission with the solution and technology

To solve these challenges, I knew I needed to start a dynamic technology company to bring together world-class talent to help our clients be more tech savvy and to help organizations adapt to new technologies.  

In 2022, Avenir Technology was born. Avenir means future. Because as Peter Drucker said, "the best way to predict the future is to create it." 

We are a team of 15 people who help our clients feel more comfortable with technology and help them adapt to new technologies faster and solve their organizational problems.

Our clients are in the public and commercial sectors. 

To learn more, visit: www.avenirtechnology.net. 

🚀 Ready to get started?  Book a 1-1 call with me: https://calendly.com/anicholson-dfa/30min.

👋 Want to be more tech savvy? Follow me!

Ashley Nicholson

The $200,000 Stanford AI degree just became worth a lot less.
Not because the education isn't world-class:

Because Stanford just released all their flagship AI and Machine Learning courses for free on YouTube.

This changes everything about how we learn AI.

1/ The legendary courses are now accessible to everyone for free:

These aren't watered down versions. These are the exact same courses Stanford charges tens of thousands for:

↳ CS221 – Artificial Intelligence: Principles & Techniques (Core AI foundations)
See: https://lnkd.in/dD-zCpRV. 

↳ CS224U – Natural Language Understanding (How machines interpret meaning)  
See: https://lnkd.in/dvyKbgni. 

↳ CS224N – NLP with Deep Learning (transformers, embeddings, modern NLP)
See: https://lnkd.in/dWdzHA6B.

↳ CS229 – Machine Learning by Andrew Ng (the legendary ML course)
See: https://lnkd.in/dNuiW9BM.

↳ CS229M – Machine Learning Theory (Mathematical backbone)
See: https://lnkd.in/dmyS2WZr. 

↳ CS329H – ML from Human Preferences (reinforcement learning meets alignment)
See: https://lnkd.in/dz6uVz-N.

↳ CS230 – Deep Learning by Andrew Ng (Neural networks, CNNs, RNNs)
See: https://lnkd.in/dZRdJhWb.

↳ CS234 – Reinforcement Learning (Agents, environments, reward-driven learning)
See: https://lnkd.in/dh6QWS_f. 

↳ CS330 – Deep Multi-Task & Meta Learning (How models learn to learn)
See: https://lnkd.in/dFDYNMbj. 

2/ Why this matters more than you think:

The AI skills gap isn't closing because of cost barriers.
↳ Traditional education takes 4+ years and costs a fortune.
↳ Most professionals can't afford to go back to school.
↳ By the time you graduate, the field has already moved on.

Stanford just eliminated the biggest barrier to AI education.

3/ The real opportunity here:

You don't need a Stanford degree to work in AI anymore.
You need Stanford level knowledge.

And that knowledge is now free.

The question isn't whether you can afford AI education.
It's whether you can afford not to take advantage of it.

What's stopping you from diving into AI learning now that these barriers are gone?

Which course are you most excited to explore?

Share below. 

♻️ Share this with someone who needs to see this.
➕ Follow me, Ashley Nicholson, for more tech insights.

Credit: Dr. Kion Ahadi for surfacing these incredible resources. Give him a follow!

Turning Data Into Better Decisions | Follow Me for More Tech Insights | Technology Leader & Entrepreneur

Your employees won't tell you the truth.
But they told me:

They're afraid.

Afraid of AI.
Afraid of change.
Afraid of being replaced.
Afraid of losing their jobs.

So, I'm saying it for them.
Saying the quiet part out loud.

The part I'm not supposed to say.

Because the future of implementing AI responsibly and successfully in your organization,
↳  Depends on addressing human emotions. 

Here's the thing.

People get most of their ideas about AI from movies:
↳  Skynet from Terminator.
↳  Replicants from Bladerunner.
↳  Violent robots from Ex Machina. 

Newsflash: none of these are positive associations.

If you don't take this time to talk to your people about change,
And address their fears, your AI projects will fail.

Here's how to address these fears effectively and compassionately:

1/ Recognize that people manage change differently and at different speeds:
↳  Your team likely has diverse people from different generations.
↳  3 months for a radical, technology transformation is not realistic.
↳  Start small and scale up.
↳  Give your team time to get buy-in. 

2/ Foster a culture of psychological safety:
↳  Have frank round table discussions around AI. 
↳  Do this with smaller teams and ensure everyone is included.
↳  Managers should ensure that fears can be expressed and addressed.
↳  Leaders must lead by example. 

3/ Support your middle management:
↳  Have a "all hands" meeting with company leadership and explain "why" and "how" you are implementing AI.
↳  Communicate early and often with your middle managers.
↳  Give them the resources and time they need to communicate with their team.
↳  Technology transformation thrives or dies in the middle.
    
4/ Teach AI literacy and AI limitations:
↳  Not everyone is technical.
↳  Provide basic instruction on AI across work areas.
↳  This creates a basis for everyone to learn.
↳  Explain that AI is not perfect and show the opportunities and limitations of the technology.

5/ Show how AI will help support administrative and boring tasks:
↳  Provide training on AI tools and show how AI can support boring and administrative tasks.
↳  Show how this allows employees to focus on higher level and more purposeful tasks.
↳  Build AI into real workflows and provide training.
↳  Illustrate the number of new jobs that AI will create (AI ethics, AI governance, etc.) and provide training in these areas. 

6/ Invest in increased soft skills:
↳  There is a lot AI does well, but a lot AI does not do well.
↳  Make investments in training all staff in these areas.
↳  For example: customer service, team leadership, AI ethics, emotional intelligence, etc.


Trust me.

This is the elephant in the room.

Your employees won't tell you this.
But I just did.

Now the question is:
What are you going to do about it?

How are you going to address this in your organization?

Share below.

♻️ Share with someone in your network who needs to see this.
➕ Follow me, Ashley Nicholson, for more tech insights.

The most dangerous man in technology isn't Elon Musk.
It's a 28-year-old kid:
And Zuckerberg just gave him 15 BILLION DOLLARS to build a "superintelligence lab" for Meta. 

His name is Alexandr Wang.
And while we were all looking at the visible geniuses....
He controlled the invisible power.

He didn't start a social network.
He didn't sell electric vehicles.
He didn't build rockets. 

Wang did something infinitely more strategic:
He created the infrastructure on which all of AI would learn from.

His business: Scale AI.
Clients: OpenAI, Microsoft, Amazon, and Meta.

And his advantage?

↳ Seeing the models before anyone.
↳ Collecting the best data.
↳ Knowing what was coming.... before anyone suspected anything.

Because every time a business wants to train AI, it will likely go through him.

And now, Meta wants all this power on their side.
They didn't just get Wang.
They bought access to this corner of the market. 

And here's the craziest thing:
Wang didn't want to be famous.
He didn't scream on social media.
He didn't want visibility. 

He simply constructed something so essential....
The rest didn't have another choice but to rely on him.

While others compete for attention,
He constructed a system that changed the game.

This was the strategy.

It was playing the game from the top.

And seeing things others didn't see.


What do you think of this development?

Share your take.



♻️ Share this with someone who needs to see it. 
➕ Follow me, Ashley Nicholson, for more tech insights.

AI is forcing universities to rethink everything.
And many people are already embracing the change:

At last week's GovAI conference, a group of us discussed what skills will be crucial for the "new university."

This topic kept coming up in so many of the sessions.

Here are the 5 essential areas that came up in the discussion:

1/ Philosophy, epistemology, ethics, and critical thinking are no longer optional:
↳ These courses should be required early, maybe even middle school.
↳ They will be the new language or mathematics.
↳ Essential across all fields.
↳ Students need frameworks to evaluate truth and navigate AI-generated information.

2/ Systems thinking:
↳ Every person in every field will likely do their job at a higher level.
↳ This will require systems thinking and focusing on scaling.
↳ Understanding interconnections becomes critical when AI handles the details.

3/ Soft skills and emotional intelligence:
↳ Human connection will be the differentiator.
↳ Communication, empathy, and collaboration can't be automated.
↳ Negotiation, getting buy-in, asserting power, and managing change can't be taught or executed by AI.
↳ Leadership skills will become more essential.

4/ AI history and training:
↳ Understanding how we got here helps predict where we're going.
↳ Hands-on experience with AI tools should be standard across curricula.
↳ Students need to know both the capabilities and limitations of AI.

5/ Deep expertise in one area:
↳ Ability to be a subject matter expert and analyze large model outputs.
↳ Being well-versed in using field-specific small models.
↳ Depth matters more than breadth when AI provides broad knowledge on demand.

The universities that adapt to this framework will produce graduates who thrive.

The ones that don't will produce graduates who get replaced.

What do you think of this list?

What skills do you think the graduates of tomorrow need to thrive in the age of AI?

Share below.


♻️ Share with someone in your network who needs to see this.
➕ Follow me, Ashley Nicholson, for more tech insights.

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