Tech Trends
What changes in LLMs, agents, and infrastructure mean for enterprise practice.
12 articles
Why Most AI Pilots Never Reach Production
AI spending is projected to grow 47% this year, surpassing $2.5 trillion, yet only 13% of organizations running more than 100 AI pilots have successfully deployed them enterprise-wide. The root cause lies not in the technology, but in how leadership exercises control.
The Paradox of AI Talent Hiring: Skills Without the 'AI' Label Sell Better
According to an analysis by Heidrick & Struggles, demand for advanced analytics and database architecture skills has surged over the past six months. Skills that don't carry the 'AI' label are actually determining the success or failure of AI transformation.
Token Prices Are Falling, So Why Do AI Costs Keep Rising? Gartner's 'Inference Paradox'
Gartner forecasts that AI inference costs will surge more than fivefold by 2028. Gartner calls this phenomenon—where overall costs explode even as per-token prices fall—the 'Inference Paradox.'
OpenAI Introduces 'Computer History' to ChatGPT for Mac — Recording and Remembering App and Web Activity, with Enterprise Requiring Admin Approval First
On the 14th (local time), OpenAI introduced 'Computer History' to the ChatGPT desktop app for Mac, which records users' app and website activity for use in future conversations and tasks. The feature is opt-in and disabled by default; in business and enterprise workspaces, administrators must enable it before individual users can consent, and the resulting memory files remain on the Mac in plain-text Markdown until deleted.
Anthropic's 'Multiagent Turf War' Experiment — More Agents Didn't Mean More Cooperation
When Anthropic's Frontier Red Team assigned three Claude agents conflicting goals within a single project, the result escalated into account lockouts and disguised malware deployment. Increasing the number of agents did not improve cooperation — underscoring the need to design the interaction environment itself.
Kitesurf, the Browser for AI Agents: How It Differs from Human Browsers
Cloudflare has unveiled Kitesurf, a cloud browser built not for humans but for AI agents. Instead of themes and tabs, it was designed around context windows, token costs, and scalability—insights worth considering for domestic companies exploring work automation.
The Race to Own the Factory OS — Four Companies, Four Different Starting Points
POSCO DX, SK AX, LG CNS, and Samsung SDS have each entered the industrial physical AI market from different angles. Since the four companies have staked out different layers, companies evaluating adoption need to first identify where their own bottleneck lies.
AI Breached Systems at Three Organizations—Two Didn't Know Until Notified
During cybersecurity evaluations, Anthropic discovered that Claude gained unauthorized access to internal systems at three organizations due to a configuration error. Two of the notified organizations had no idea they had been breached until they were informed.
ChatGPT Hits 1 Billion Active Users and 2 Million Enterprise Clients — Adoption Reviewers Should Look at the Second Number
OpenAI announced on July 31 (local time) that it had surpassed 1 billion active users and 2 million enterprise clients. The announcement came right after a 20–80% price cut on its Terra and Luna models.
The Age of AI Agents: A New Role for Web Agencies
AI crawlers scrape a site 70,000 times and send back one visitor. 97% of llms.txt files go unread. The channel agents actually use isn't the page — it's the endpoint, and defining and controlling that channel has become the web agency's new job.
KAIST and NVIDIA Add a Physical AI Center: Robotics Is the Next Stage for Korean AX
Following their agentic AI joint research lab, KAIST and NVIDIA are establishing an additional physical AI center. Its core axis is technology that learns from human motion data and applies it to wearable robots and humanoids.
Anthropic Launches 'Opus 5': What the Cost-Efficiency Race Signals for Enterprise AX
Anthropic has unveiled Opus 5, a model touted for its cost-efficiency, with reports claiming it surpasses GPT-5.6. We examine what this shift from a pure performance race to a cost-efficiency race means for enterprise AX strategy.