{
  "id": 3155735,
  "title": "The true cost of AI is beginning to surface",
  "url": "https://urgent.news/2026/08/25/the-true-cost-of-ai-is-beginning-to-surface",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T01:00:39.000Z",
  "source": {
    "name": "e27",
    "slug": "e27",
    "url": "https://e27.co/the-true-cost-of-ai-is-beginning-to-surface-20260821/"
  },
  "original_language": "en",
  "account": "The true cost of artificial intelligence is starting to become apparent. Initially, AI appears affordable due to monthly subscriptions and user-friendly interfaces. However, as the technology evolves, its true expense is hidden within the complex systems it relies on, such as data centers, electricity, water, chips, cloud providers, and compliance processes.\n\nThe next stage of AI development involves agents that perform multiple tasks like searching, planning, calling tools, and checking work. This shift changes the economics from a per-prompt pricing model to an infrastructure-based pricing model. This transition is evident in GitHub's decision to move Copilot from a flat-rate to a usage-based billing system, which will be calculated through AI credits based on token consumption.\n\nWhile individual AI tasks may seem cheap, the underlying computational steps can involve hundreds of operations. This discrepancy between user perception and actual computational effort highlights the beginning of AI's true cost structure. AI's adoption is akin to a subsidy phase, with large tech companies competing for market share and users, offering low-cost entry points to accelerate adoption. However, this phase may lead to an eventual increase in total costs as AI becomes embedded in various sectors like finance, healthcare, and logistics.\n\nThe infrastructure required to support AI, such as data centers and electricity consumption, is growing at an unprecedented rate. The International Energy Agency predicts that global electricity consumption from data centers could more than double by 2030, accounting for nearly 3% of global electricity usage. This surge in power demand could strain existing power grids, creating a new set of infrastructure challenges that may fall on technology companies or be spread through electricity rates, tax incentives, or public investment.\n\nIn summary, the true cost of AI extends beyond subscription fees to encompass the entire infrastructure it depends on, including data centers and electricity. As AI becomes more integrated into various industries, understanding and managing these costs will be crucial to avoid potential disruptions and ensure sustainable growth.",
  "summary": "The cost of AI is not only hidden in data centres. It is hidden in the systems we are learning to depend on. Artificial intelligence still feels cheap. A manager pays for a monthly subscription. A developer opens a coding assistant. A student asks a chatbot to summarise a report. The interaction is instant, polished […] The post The true cost of AI is beginning to surface appeared first on e27 .",
  "key_points": [
    "AI's true cost emerges beyond subscription fees",
    "Infrastructure costs like data centers, electricity rise",
    "Infrastructure challenges may fall on companies or consumers"
  ],
  "editors_take": "The emerging true cost of AI reveals a shift from affordable user interfaces to expensive underlying infrastructure, straining power grids and changing the economics of tech companies and users alike.",
  "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."
}