Hey👋,
I'm Giacomo

Thanks for reading my daily (human) curation of AI and marketing ideas

Only in Switzerland… 🥰

 

Spotted this note from the local police, taped to a park bench:

 

“If you’re the person who left behind a pair of ASICS shoes, a blue t-shirt size M and house key with cloverleaf symbol, please get in touch.”

 

No judgment. No bureaucracy.
Just pure kindness 🇨🇭

 

Honestly, I’ve never seen anything like it.
A handwritten lost & found letter from the police, patiently waiting. ❤️

 

But it does make me wonder…
Who forgets that much stuff all at once? 😅

 


Happy mid-week everybody!

 

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This week, Tesla finally put its first robotaxi on the road.

 

But let’s rewind a bit…

 

-> Elon in 2015: “By 2018, Teslas will be fully autonomous.”

 

-> in 2016: “By 2021, we’ll have a fleet of one million robotaxis.”

 

-> in 2023: “Optimus humanoid robots will be available for $30k by the end of the year... oh, and one will land on Mars in 2026."

 

-> in 2014: “The new Tesla Roadster is coming this year.”
Then it was 2019.
Then 2020.
2021.
2022.
2023.
2024.
Now 2025. Still waiting. 😅

 

-> in 2015 again: “Crewed Starship missions to Mars as early as 2025.”

 

Elon Musk has made some of the wildest tech predictions of the century.

 

And yet…
He’s not been that wrong. He’s just late.

 

Bit by bit, almost everything he said is becoming real.

 

If every Tesla becomes a robotaxi, like he envisions, that fleet will blow way past one million vehicles.

 

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Amazon CEO Andy Jassy just said the quiet part out loud.

 

And it's a big deal! here's why👇

 

Many tech companies have laid off staff due to AI.

 

But...

 

➡️ Most of them still grew their overall headcount, signalling a restructuring, not a real reduction (so far).

 

This time is different.

 

Jassy said:
“It’s hard to know where it nets out over time, but we expect to REDUCE our total CORPORATE workforce.”

 

1. This is about fewer people, not different people.
2. He's not talking about warehouse jobs, he’s talking about knowledge workers.

 

office roles, product, marketing, tech etc

 

This might be the first time a major tech CEO openly links AI to an actual net loss in white-collar jobs.

 

It won’t be the last.

 

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Amazon CEO Says AI Will Cut Corporate Jobs for Real This Time
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Sunday thoughts: young graduates are screwed. 😬

 

Go into tech?
Big Tech is cutting jobs.

 

Public sector?
Less prestigious than it used to be.

 

Engineering?
Innovation is happening in China.

 

Law?
AI is already writing contracts and summarising lawsuits.

 

Journalism?
Don’t even think about it.

 


In 2024, only 80% of Stanford business graduates had a job three months post-graduation.

 

In 2021, it was 91%!

 

I know what you're thinking. It's AI's fault!
Well, kind of...

 

The wage premium for graduates has been declining for over a decade, long before ChatGPT.

 

Reality is,
companies don’t need as many qualified people as they used to.

 

Most office jobs are now standardised, automated, almost robotic.
(I wrote about this last Sunday)

 

Anyone can do them.
And ironically, the less qualified, the better.
Less ambition, less resistance to "robotic" tasks.

 

Meanwhile, universities are offering increasingly niche degrees, often disconnected from job market demand.

 

The goal? More students, even though many were not supposed to be there.

 


Now AI is pouring fuel on this fire.
If tasks are repetitive anyway, why hire humans at all?

 

🇺🇸 In the US
college enrolment dropped 5% between 2013 and 2022.

 

🇪🇺 But in Europe
it went the other way!

 

"In France the number of students went up by 36%; in Ireland by 45%. Governments are subsidising useless degrees, encouraging kids to waste time studying."

 


📌 I don't think studying is a waste.
But the cost-opportunity of studying vs gaining work-ready skills has never been more critical, especially in light of AI.

 

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All problems of Italy summarised in one chart 😔

 

20% of GDP comes from rentiers instead of work and value creation.
It's honestly insane!

 

Other western countries are not far off.
US's inheritance flow is at over 10% of GDP.

 

Ireland seems to be an exception, I guess due to the massive influx of corporate tax from Big Tech that inflates the country's GDP.

 

At the end of the day,
why working your ass off when you can have an excellent quality of life for free?

 

Until it lasts...

 

Good luck to rentiers in the age of AI.

 

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Mark Zuckerberg earns a salary of $1 per year.

 

Not $1M.
Not $1K.
One. Single. Dollar!

 

Also,

 

Zero bonus.
Zero stock.

 

Poor guy!

 

But wait… he received $27.22 million in company perks in 2024 😅
Security, private jets, and "other necessities" paid by Meta.

 

Honestly?
I’d happily take a $1 salary too if my employer covered $27m worth of my living expenses 😂

 

A great reminder that salary ≠ total compensation.

 

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The other day I read a post from Mary Mellor Clark that really made me think.

 

It asked a simple but powerful question:

 

What if you were starting with AI from zero today?
Where should you start from?

 

When GPT launched, I immediately knew it was a revolution in the making.
But honestly, it took me at least another year before I could really integrate it into my daily work and life (as a busy human ☺️)

 

So if you’re a marketer starting from scratch with AI, here’s exactly what I’d do:

 


1. Subscribe to GPT Plus ($20/month)

 

2. Go to Settings > Personalisation, turn on all features.

 

3. Activate and update all custom instructions.
Tell GPT who you are, what you do, and how you want to use it. Be specific.

 

4. Start simple: edit some marketing copy.
Take a draft and ask GPT to turn it into a nice copy.
Make several tries (no magic wand here, just trial and error).

 

5. Once you're happy with the results, use the final prompt to build your first Custom GPT to edit marketing copies.

 

6. Once you’re comfortable building a custom GPT, build many more!
- One for images in a certain style.
- One for images in a different style.
- One for editing social media posts.
- One for editing blog posts.
- One for brainstorming marketing ideas.
...and more!

 

You'll soon realise your custom GPTs will become part of your daily routine.

 

7. Create projects.
Projects are essentially folders, ideal to organise your chats.
You can give custom instructions that apply to all chats inside a project.

 

For example, Mary Mellor Clark wants to play around with vibe-coding websites and apps.
Create a project for each app you want to build.
Describe your project in the custom instructions before starting.

 

8. Tell GPT you're a total beginner and let it guide you step by step.
From setting up GitHub to writing code etc.
Don't leave anything unsaid, ask as many questions as possible.

 

9. Use the model o3 (limits apply).

 

10. Once GPT has become part of your daily life, you can start exploring other Ai marketing tools like HeyGen, Runway and the majestic Google Veo3 ($250/month!!)

 


Do you agree with these steps?

 

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This is INSANE! 🤯

‍

POV Mark Zuckerberg calls you on the phone to offer $100M in cash.

Plus, over $100M/year as salary.

‍

Zuck himself made $27.22M in 2024! 😅

‍

When we discuss how Ai is changing the job market, well this is a paradigmatic example.

‍

Not sure such compensations ever existed before.

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I love ChatGPT, but Google is catching up. Fast!

 

Gemini can now create editable charts directly in Google Sheets.

 

This is a big deal 🤯

 

I used to:
- Upload spreadsheets to ChatGPT (sometimes Claude).
- Ask it to analyse the data.
- Generate charts inside chat.
- Paste it as an image where needed.

 

Not anymore!

 

Now, I just open the Gemini panel in Google Sheets, ask for a chart, and boom, it's there. Inserted directly into the sheet.

 

And it's fully editable 🚀

 

No pasting, no switching tools.

 

When it comes to Google and AI, "wait for it" has always been the mantra.
Well... we might be very close now!

 

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PwC just released a deep-dive on the job market in the age of AI.

 

Spoiler: it’s not as bad as you think.
In fact, it's better.

 

They bust a few popular myths on AI and work.

 

I’m skeptical about some of their findings,
but the key takeaway is hard to ignore:

 

💡 Jobs and sectors more exposed to AI earn over 50% higher wages, are more productive, and deliver stronger profits.

 

Meanwhile, more traditional roles that are naturally slower (or unwilling) to adopt AI will fall behind.

 

So, AI will not directly replace workers.
It will just push companies and roles that don’t adapt out of the market.

 

It's simple math:
If someone is 3x faster, 3x more productive, and 3x more profitable...

 

…they win.

 

The rest will be left behind and eventually pushed out.

 

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