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By 2030, we’ll see 170 million jobs created — and 92 million jobs lost. 39% of current skills will be outdated. And 59% of workers will need reskilling — but 1 in 5 may not get it.
Home / LinkedIn creators / Alex Wang
Alex Wang
Learn AI Together - I explain practical AI, real workflows, and where AI is actually going. Follow me and let’s grow together.
We read 612 of their posts. Here is what they actually do.
TechnologyEducationalPromise hooksProfessionals
linkedin.com/in/alexwang2911 ↗1.2MFollowers
5.5Posts / week
1.3KAvg likes
448Median likes
79Avg comments
31K likesBest post
Engagement over time
Average likes per post, by month.
1.5likes / 1K followers
That puts them in the 66th percentile of the 104 creators we track in the 1M and above follower band. Reach is not the same as resonance, and this is the ratio that separates them.
2025-03Average likes per month2026-08
Their hooks, word for word
The opening line of their best-performing posts. This is what stops the scroll.
- By 2030, we’ll see 170 million jobs created — and 92 million jobs lost.31K likes
- Funny but real: AI can make producing work faster and still make the company slower.20K likes
- We talk a lot about the jobs AI might replace. But not enough about the ones it’s creating.16K likes
- The fastest way to make an AI project expensive is to start by saying:12K likes
- Your first AI workflow has one job: Exist.12K likes
- By 2030, we’ll see 92 million jobs lost, and 170 million jobs created, according to the latest WEF report.12K likes
Content pillars
What they post about, with a line from a real post as evidence.
- AI Workflow & Systems Design
Top 1 post on redesigning full workflows around AI rather than layering tools.
- Practical AI Engineering Scoping
Top 2 post detailing when to use LLMs, retrieval, APIs, or agents.
- AI Token Economics & Tooling
Top 5 post analyzing token conversion chains, caching, and model routing efficiency.
Signature moves and voice
The repeatable moves that show up across their best posts.
- Open with a counter-intuitive paradox showing why popular AI methods fail.
- Use decision trees with spaced dividers to map technical architectures cleanly.
- Attach free learning resource links seamlessly in post footers.
Tone of voicePragmatic, authoritative, and analytical, deconstructing AI hype into structured, business-ready execution frameworks.
What works for them
Patterns that separate their top posts from the rest.
- Systemic workflow critiques drastically outperform single-tool reviews and basic software feature announcements.
- Step-by-step decision frameworks for AI architectures generate massive viral bookmarking and engagement.
- Short prompt command libraries paired with visual references drive high shares.
When they post
Every post, grouped by day of week.
Mon
1.4K
Tue
1.4K
Wed
1K
Thu
976
Fri
1.1K
Sat
2.6K
Sun
4.1K
Posts publishedAverage likes
Best day is Sunday at 4.1K average likes. Thursday is their weakest at 976.
What format works
Text, image, video or carousel, ranked by what actually lands for them.
| Format | Posts | Avg likes | |
|---|---|---|---|
| Image | 348 | 1.9K | |
| Carousel | 49 | 1.1K | |
| Text only | 62 | 522 | |
| Video | 153 | 412 |
Format fingerprint
How their posts are built, measured across every post we analysed.
Median length1,615 chars
Line breaksHigh
Bullet pointsNone
EmojiNone
HashtagsNone
Outbound linksLow
Reading levelGrade 3
Promo intensity1/10
Steal this
Moves you can apply to your own posts this week.
- Hook readers by challenging common best practices before providing a stepwise fix.
- Break technical architectures into simple, question-driven decision branches using clean separators.
- Focus on end-to-end workflow throughput rather than isolated software tool features.
Best-performing posts
Ranked by likes, across everything we analysed.
2
Funny but real: AI can make producing work faster and still make the company slower. At the company level, the better long-term answer is to redesign workflows around AI, rather than simply layer AI tools onto existing processes. But that takes time, resources, and coordination across teams.
3
We talk a lot about the jobs AI might replace. But not enough about the ones it’s creating. According to WEF's latest report, we’re heading toward a global churn of 22% of current jobs by 2030.
4
The fastest way to make an AI project expensive is to start by saying: “Let’s build an agent.” Sometimes you do need one. But a lot of teams are adding agent logic before they have clarified what the system actually needs to know, access, or do.
5
Your first AI workflow has one job: Exist. When building an early project with AI, I would focus on four things: • Pick one specific user and one painful job they already care about • Build the smallest version that helps them complete it
Similar creators
Comparable follower counts, analysed the same way.
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Built from public LinkedIn posts, last refreshed 2026-09-03. Follower counts and engagement change over time. Alex Wang is not affiliated with 2pr.io. Request removal.