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Game trailer
Early Access
AI Apocalypse
A cyberpunk roguelike deckbuilder. Fight the AI apocalypse with melee, magic, or rifle — 3 weapon classes, 9 build paths, 140+ cards. Every run is a new tactical puzzle of stance, distance, and deck synergy.
- Release date
- Nov 10, 2026
- Platforms
- Windows
Price unavailable
Key details
Steam reviews per day
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No recent measurement
System requirements
Windows · from the game’s Steam page
Minimum
- ОС
- Win 10/11
- Процессор
- Intel Core i3-4130 (2013) или AMD FX-6300 — 2 ядра, 3,0 ГГц
- Оперативная память
- 4 GB ОЗУ
- Видеокарта
- Intel HD Graphics 4600 / GeForce GT 710 / Radeon R5 — встроенной достаточно
- DirectX
- версии 11
- Место на диске
- 1 GB
Recommended
- ОС
- Windows 10/11 64-bit
- Процессор
- Intel Core i5-8400 (2017) or AMD Ryzen 5 2600 — 4+ cores, 2.8 GHz
- Оперативная память
- 8 GB ОЗУ
- Видеокарта
- GeForce GTX 1050 / Radeon RX 560 / Intel Iris Xe
- DirectX
- версии 11
- Сеть
- Широкополосное подключение к интернету
- Место на диске
- 2 GB
macOS
Minimum
- ОС
- macOS 11 Big Sur
- Процессор
- Intel Core i3 (двухъядерный) или Apple Silicon M1
- Оперативная память
- 4 GB ОЗУ
- Видеокарта
- Apple M1 встроенная / Intel Iris Plus / 1 ГБ выделенной видеопамяти
- Место на диске
- 1 GB
Recommended
- ОС
- macOS 12 Monterey or later
- Процессор
- Apple Silicon M1/M2/M3 or Intel Core i5 (quad-core)
- Оперативная память
- 8 GB ОЗУ
- Видеокарта
- Apple Silicon integrated (any M-chip) or Intel Iris Xe
- Сеть
- Широкополосное подключение к интернету
- Место на диске
- 2 GB
The requirements are shown as Steam publishes them, in Russian.
EXPECTATION INTELLIGENCE
How anticipated is this game?
This is not an estimated wishlist count: the index uses the public Steam Popular Wishlist rank and verifiable signals.
limited dataconfidence 0%
Wishlist rank movementhigher on the chart means closer to first place
History will appear after several measurements
- Interest has not been measured: absence from the sample does not imply low popularity
Steam does not publish actual wishlist totals, so ggpick shows the observed rank and model confidence.
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