Is AI taking our jobs? We've been there before


Hi Reader,

Here’s a thought that might challenge how you see AI.

I believe that what we are seeing isn't new.
We’ve been here before:

  • 1950s: people wrote assembly. You had to tell the machine exactly what to do, and how to do it
  • 1970s: C arrived. Still low-level, still managing memory – but more abstract
  • 1980s: C++. Object-oriented programming, closer to how humans think about systems
  • 1990s: Python. In a few lines, you could do what once took thousands

Every transition followed the same pattern:

  1. We described outcomes at a higher level
  2. We enabled more people to build things

Each step removed friction.
Each step expanded access.
Each step increased leverage.

I see AI as the next layer in this stack.

We describe the outcome we want.
The system figures out the implementation.

Is it taking jobs?
It's redefining them.

The definition of valuable work is shifting – from writing instructions to framing problems, from execution to judgment.

I believe that Data Professionals are in one of the best positions right now.
With the right mindset, this shift isn't a threat. It's a massive opportunity.

I unpack this in my "The $1,000,000 Data Professional" talk.

If you want to learn how to leverage all this situation, you really don't want to miss this one.. 👇

The $1,000,000 Data Professional The $1,000,000 Data Professional [33:24]
Data Professionals face the biggest opportunity of their lifetime.. but only if they approach it correctly

Have a great weekend!

Regards,
Shachar

P.S. Got a question you’re struggling with? Just hit Reply and send it over – I read every message.

♻️ Please share these links with 2 colleagues or friends to help them grow:

Shachar Meir

Read more from Shachar Meir

Hi Reader, AI makes self-service analytics look inevitable. The pitch sounds something like this: → Plug an AI agent into a clean semantic layer→ Add good metadata and context→ Let stakeholders ask questions in plain English→ Done Everyone gets answers instantly.No dependency on data teams. Sounds great. But here’s the problem: Self-service analytics has been “almost working” for over 20 years.And success rates are still… disappointing. Why? Because it quietly relies on a set of assumptions:...

Hi Reader, Most people think "personal brand" means LinkedIn, YouTube, TikTok.It doesn’t. In fact, every one of us has a personal brand. Inside your company for example, there are people who: trust you on certain topics come to you for advice see you as the “go-to” for some things That’s your brand. The real question is:→ are you shaping it intentionally, or leaving it to chance? When Miquel asked me how to build a personal brand, I broke it down into 4 simple questions: What’s your goal? Who...

Hi Reader, People think doing more = faster growth.It doesn't.In fact – in many cases it's the opposite.Recently I recorded a mentoring session with Sherin, a Data Analyst at Booking.com.She felt stuck at Level 2 and wasn’t sure how to grow. So I asked her what she works on.She said: “Everything. Finance, sales, marketing…” That’s the problem. When you spread yourself across too many domains: you never go deep enough you never build real context and expertise you never become the go-person...