2047: A Generative AI Odyssey — How 95% of Smaller Apps, AI Cities, and Self-Coding Systems Will Redefine Existence
Author(s): Kalash Vasaniya
Originally published on Towards AI.
This member-only story is on us. Upgrade to access all of Medium.
In 2023, a mind-boggling AI utility did the impossible: it reduced Docker container sizes by 80%, accelerating development and saving millions of developer hours worldwide. Fast-forward to 2047: generative AI has evolved from modest beginnings as an assistant for code to instead build a new world. Today, we live in a world where AI no longer merely makes what already exists even more excellent — it invents new paradigms in every sector.
Drawing insights from over 500 industries and guided by prognostications such as Gartner’s expectation that 40% of generative AI solutions will be multimodal by 2027, this article takes you on a journey into a world where quantum algorithms, AI-built cities, and self-modifying codebases are no longer possibilities but the norm. Join us on a journey as we delve into the statistics, reverse-engineer software, and discover the paradigm shifts that are poised to redefine our very lives.
Imagine a time in the future when AI writes 90% of the codebase. By 2047,… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
