AI Tech Trends
Making sense of the daily flood of AI news, from retrieval-augmented generation to multimodal intelligence.
17 of 17 articles
2026. 01. 22
2026 AI Trends Report: The Arrival of Multi-Agent Systems
The era of a single model is over. AI teams are changing how work gets done. A look at the future through AutoGen and Swarm.
2026. 01. 22
The Bill Arrived: Surviving AI in 2025
The DeepSeek shock, on-device AI, and vibe coding. The bright and dark sides of the 2025 AI market and the outlook for 2026.
2026. 01. 22
The AI–Hardware Revolution: The Power Paradox and the Arrival of New Chips
The smarter it becomes, the hungrier it gets. An energy-efficiency revolution seen through NPUs, fusion chips, and 3D nanochips.
2026. 02. 28
AI Automation: Human Review Loops Deliver Results
A practical look at why human-in-the-loop workflows improve operational results more than fully unattended automation.
2026. 03. 02
AI’s Next Bottleneck Is Inference Cost, Not Model Performance
Even accurate services stop when their costs become unaffordable. Competitive advantage now hinges on operating cost, not performance alone.
2026. 03. 03
An AI ROI Framework by Workflow: Proving Adoption Results with Numbers
Accuracy alone cannot persuade management. AI’s real results become visible when time, cost, quality and risk share one framework.
2026. 03. 09
The Moment Browser Agents Replace the Search Box
Search as a list of links is coming to an end. The browser is becoming a work surface for verification and execution, rather than merely a window for finding information.
2026. 03. 12
Designing an AI Runtime Signal Stack for Small Teams
Operational signals fail before model quality does. How to design a minimal observability system that a small team can actually maintain.
2026. 03. 28
Designing a Context Cache Ledger That Keeps Agent Teams Running
To protect speed, cost, and trust together, manage context flows like accounting before optimizing the model.
2026. 03. 15
A Router Playbook for AI Product Teams to Control Latency and Cost Together
How to design routing rules a small team can actually operate when response speed and cost become unstable at the same time.
2026. 03. 18
The Shift in AI Startup Valuations: Why Operational Depth Commands a Premium over Growth Rate
Markets now ask how reliably results can be repeated, not just how quickly a company grows. AI startup valuation is shifting from multiples to operational structure.
2026. 03. 18
An Inference Arbitration Tower to Protect Costs in the Multimodel Era
How to design an inference arbitration system that a small team can operate when speed, quality and cost fluctuate together.
2026. 03. 21
In the Age of Agent Teams, Operational Design Decides the Winner
Competitive strength now comes from agent operations design rather than the performance of a single model. Teams with permission boundaries, observability, and quality gates deliver real results.
2026-09-01
Where Small Models Beat Large Models
Large models always win on performance charts. Yet more teams choose small models for real work. Here is where the crossover happens and how to judge it.
2026-10-08
AI Models Have Retirement Dates: Why to Check the Calendar Before You Wire One In
An AI model is not a part you connect once and forget. This chapter lines up the deprecation documents from Anthropic, OpenAI and Google, compares their notice periods and real schedules, and describes the list worth building before a date arrives.
2026-10-08
SynthID Detector Is Now Open to All
Google has opened SynthID Detector, its AI watermark checker, to the public. This chapter covers what it tells you, what it cannot, how people who make images and video should read the result, and which records to keep on their own.
2026-10-26
Does Korea's AI Basic Act Cover Your Company?
A reading of the statute text on the national law portal and the Ministry of Science and ICT's guidance, sorting which companies the AI Basic Act's transparency duties reach: those that use AI to make text and images, and those that offer AI features to customers.