Doom Leaderboard

The Most Doomed

Top doom scores from all analyses. Think you can beat them? Probably not.

Total Analyses

66

Average Score

46/100

High Scores (24h)

0

Highest Score

95/100

#NameScoreView
πŸ₯‡

Prophet

ChatGPT already has better predictions than most fortune tellers β€” and it doesn't even charge by the minute

95View β†’
πŸ₯ˆ

Filip Nielsen

Running a digital agency in 2024? That's like selling typewriters at a Tesla factory.

85View β†’
πŸ₯‰

Constantin Dusescu

SAP bootcamp grad meets ChatGPT β€” one writes better React components

78View β†’
4

Sourabh Ligade

Junior dev at an AI infrastructure company β€” literally building the tools that will replace him

76View β†’
5

Ryan Thorpe

When your LinkedIn is more mysterious than your AI replacement timeline

75View β†’
6

Conceptual artist and poet the founde...

When your entire artistic identity becomes a training dataset for tomorrow's creative overlords

73View β†’
7

Jui Pingle

MSD's data wizard is about to discover that AI can transform data faster than a Mumbai local train

73View β†’
8

Emilia T

ASC Pty Ltd mystery employee β€” even LinkedIn doesn't know what you do, but AI probably can

72View β†’
9

Daniel Marquina GonzΓ‘lez

Banking on CaixaBank Tech while AI banks on replacing you

68View β†’
10

Alicia Gracia Santos

Amazon operations manager watching robots learn to do your job faster than you learned Spanish

68View β†’
11

United Kingdom

Brexit was just practice for the real economic exodus β€” this time it's jobs leaving for Silicon Valley's servers

67View β†’
12

Jacob Kristensen

When your job title is as vague as your LinkedIn profile

65View β†’
13

Alex Pedrazzini

Evercore investment banker discovers AI can model DCFs faster than his caffeine-fueled all-nighters

62View β†’
14

Higher School of Economics

Russia's premier economics university discovers that AI can teach supply and demand curves without the existential dread

58View β†’
15

Martin Dekar

From coding StarCraft bots to advising CEOs β€” the irony is McKinsey's own AI practice might automate your slides

52View β†’
16

Alex Lovering

From military precision to fintech at Xe.com β€” at least you're used to following orders from machines

45View β†’
17

Jakob BrΓΈgger-Mikkelsen

CEO of journaling app β€” teaching AI to write diary entries about your feelings

45View β†’
18

Software Engineer

You're building the very thing that's coming for your job β€” how's that for job security?

45View β†’
19

Iran

When your economy is already sanctioned to death, AI disruption feels like a papercut on a severed limb

43View β†’
20

Denmark

Even hygge can't protect you from the algorithmic winter coming for your welfare state

42View β†’
21

Paul Sarasin

Geneva's most mysteriously connected professional β€” 361 followers but we have no idea what you actually do

42View β†’
22

cybersecurity

The guardians who built the walls are about to face the siege engines they accidentally helped design

42View β†’
23

Nis von Seelen

Building the thing that replaces everyone else β€” peak job security irony

35View β†’
24

Juan Navarro Utiel

VMware vExpert at A10 Networks β€” you're deep enough in the hardware-software stack that robots will need your blessing to boot up

34View β†’
25

Mixed methods political theory and co...

Teaching machines to understand democracy while democracy struggles to understand machines

34View β†’
26

amazon

The AI apocalypse's landlord β€” everyone else gets evicted first

25View β†’
27

Anders Rank Jensen

Wine connoisseur in the land of Carlsberg β€” even AI can't replicate a Danish palate for overpriced Bordeaux

25View β†’
28

Jari Hanhimaki

Geneva-based mystery professional β€” so under the radar, even AI can't find you to replace you

23View β†’
29

Gustav Damby

AI can plan your budget and book your venues, but it can't charm drunk festival-goers at 2 AM

22View β†’
30

Jussi Hanhimaki

While AI can't replace deep historical wisdom, it might make your lectures more entertaining than you do

12View β†’
31

Johannes Andersen

While AI can analyze wine data, it still can't get drunk and make questionable investment decisions at 2 AM

12View β†’
32

Jesus Christ

Two thousand years of market dominance and still no viable competitors β€” that's a moat even Silicon Valley can't disrupt

8View β†’

Think you can make the list?