What is 'AI Next: The Genealogy of AI Evolution' about?
This book maps five years of AI evolution from 2022 to 2026. It explains reasoning models, AI agents, open-source shifts, and the agent economy without complex math.

From ChatGPT in 2022 to autonomous AI agents in 2026.
Uncover the cost structures, technical shifts, and market dynamics shaping the future of AI.
Strip away the buzzwords. Discover where value flows in the agent economy.
Global tech strategists tracking five years of AI evolution
Entrepreneurs and creators building businesses on AI agents
Developers seeking practical architecture and cost insights
Anyone needing a clear map of reasoning models and open-source trends
Eight chapters detailing the evolution from single-pass models to multi-agent economies.
From scale expansion to reasoning capacity.
Chain-of-Thought, reasoning models, and thinking tokens.
ReAct framework, Self-RAG, multi-agent systems, and MCP.
LoRA, DPO, data quality revolution, and multimodal AI.
Token usage patterns, 30% open-source tipping point, and model routing.
Value chain layers, adoption risks, and 2026–2029 timeline.
DeepSeek-V3, Qwen2.5, and open-source business strategies.
MoE architecture, Green AI, and specialized edge computing.
This book maps five years of AI evolution from 2022 to 2026. It explains reasoning models, AI agents, open-source shifts, and the agent economy without complex math.
It is designed for tech planners, entrepreneurs, developers, and investors who want to understand the economic and structural shifts in the AI industry.
Author: Alois
Publisher: Alois Marketing (2026. 02. 22.)
Analyzing AI technical trajectories and connecting technical shifts to business opportunities.
Understand the chain of AI evolution.
Position yourself ahead of the market.