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AI & Enterprise

Should firms hire more or spend more on AI? Companies face dilemma as AI costs surge

Generative AI is becoming a core productivity tool for companies, but costs are rising faster than expected, creating new budget pressures. Some firms are seeing annual AI budgets run out in a month or two, forcing decisions between hiring and AI investment. Executives are increasingly focused on controlling expenses and running models efficiently. Industry executives say top-tier models remain the main driver of spending, even though cheaper models could handle many tasks.

AI & Enterprise

K-AI models spread to semiconductors, farm machinery and nuclear power sites

South Korean artificial intelligence models are expanding across industrial sites, from semiconductor manufacturing to autonomous farm machinery and nuclear power plant operations. SK Telecom is applying its AI model to SK Hynix work environments and is reviewing deployment at chipmaking sites. Motif Technologies and Mobirus are integrating VLA technology for autonomous farm machinery. Naver Cloud built a generative AI platform with Korea Hydro & Nuclear Power. Upstage embedded Solar in Allganize\'s Alli service.

AI & Enterprise

AI agents drive expansion of software ecosystems built for AI, not humans

As AI agents spread, software designed for use by AI rather than people is expanding. Companies are moving toward headless software that lets agents access core functions through APIs and MCP without a user interface. Approaches differ, with Salesforce and ServiceNow opening platforms to third-party agents while SAP focuses on its own. The shift is emerging as a variable in enterprise software competition, alongside growing demand for forward-deployed engineers supporting AI adoption.