{
  "id": 7234100,
  "title": "Everyone has adopted AI. Almost nobody is ready for it",
  "url": "https://urgent.news/2026/09/14/everyone-has-adopted-ai-almost-nobody-is-ready-for-it",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-14T03:00:51.000Z",
  "source": {
    "name": "e27",
    "slug": "e27",
    "url": "https://e27.co/everyone-has-adopted-ai-almost-nobody-is-ready-for-it-20260912/"
  },
  "original_language": "en",
  "account": "In the past eighteen months, the conversation around AI in Singapore has shifted from adoption to implementation. According to Accenture, 90% of organizations have moved past awareness and exploration into actual usage. Half have deployed generative AI in specific business units, while 73% are experimenting with or exploring agentic AI. These numbers seem like a victory, but they mask a deeper issue. Bain's guide for Southeast Asian CEOs reveals that only 20% of companies in the region have truly scaled generative AI, with only 13% claiming extensive scaling. Many organizations are caught in a paradox, running AI pilots that work but not integrating them structurally into their workflows. This results in productivity gains that never materialize, leading to questions about the technology, vendor, or model. However, the root cause is often less technical. The first mistake is not redesigning work roles to incorporate AI. Tools are layered onto existing processes built for human speed, causing the process to remain unchanged. Second, capability is viewed as a one-time event rather than a habit. Companies run workshops and check boxes, but only 33% of Singapore organizations have an AI strategy aligned with their talent strategy. This means most firms are buying AI faster than they are building the skills to use it effectively. Trust is another critical factor, with only 23% of Singapore employees trusting their employers to act in their best interests when introducing AI. This lack of trust leads to defensive or passive use of AI, preventing valuable ground-level insights. These issues are not purely technical; they are organizational and require more than just better tools. A diagnostic approach suggests asking teams what decisions they now make differently because of AI, rather than measuring speed improvements. If the answer is simply \"we write emails faster,\" it indicates a tool rather than meaningful readiness. Singapore's SMEs have adopted AI at a much lower rate (14.5%) compared to large businesses (62.5%), highlighting a systemic problem. The readiness for meaningful AI adoption lies in the capacity to redesign work, which requires time, internal expertise, and tolerance for potential failures. The upcoming AICON 2026 in Singapore on October 8th and 9th at SCAPE aims to be a forum for businesses, practitioners, educators, and public-sector individuals to share insights on what true adoption looks like. The focus should shift from \"what AI can do\" to \"what it takes to make it stick.\"",
  "summary": "Somewhere in the last eighteen months, the AI question quietly resolved itself. Almost nobody in Singapore asks whether to adopt anymore. Accenture said 90 per cent of organisations surveyed have moved beyond AI awareness and exploration into implementation. One in two has deployed generative AI in specific business units, while 73 per cent are experimenting […] The post Everyone has adopted AI.…",
  "key_points": [
    "90% of Singapore organizations have adopted AI, but only 20% have scaled it",
    "Only 33% of Singapore firms have AI strategies aligned with talent strategy",
    "AICON 2026 aims to discuss true AI adoption in Singapore"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}