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GartnerLaunch

Advances in AI capabilities to outpace cost savings

What happened

Gartner released a report finding that while foundational AI model costs are decreasing, the adoption of more powerful, expensive models for higher-value applications is driving up overall inference costs and total spending for enterprises.

Source

ciodive.comAug 17, 2026By Paige Gross

Advances in AI capabilities to outpace cost savings

Article excerpt

Highlighted: the sentence this signal was extracted from

Enterprise dependence on AI will keep overall costs increasing exponentially even as per-token prices fall, according to Gartner. AI tokens may be getting more cost effective for enterprises, but organizations' reliance on AI systems and how much they use the technology will keep driving up spending. Enterprises have worked to deploy agentic systems in 2026, with spending on AI-optimized infrastructure as a service - the compute that supports large language model training and operation - projected to nearly double through the end of 2026, reaching $42 billion, Gartner found earlier this month. Sommer told CIO Dive in a July interview that Gartner estimates global token consumption to be about 300 trillion tokens per day, an annualized growth rate of 500% to 600%. Hard-to-predict AI costs are forcing some enterprises to rethink their implementation plans. Nearly half of organizations reported that they've escalated AI spending surprises to the board, according to a July report by cost management software Mavvrik. Three main factors are shaping current token economics, Gartner's Monday report found. Foundational model costs are going down - a win for enterprises - but improved AI efficiency is unlocking more powerful, expensive models to chase higher-value AI applications. Those sophisticated AI workflows use far more tokens than earlier models' simple chatbot interactions...

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Extracted by Autobound

From the Signal API record
Event
Launch

What this signalsA launch often needs new go-to-market and support spend.

Product
Token Economics Report
Takes effect
Aug 17, 2026

The full record

From the Signal API record

Details

Release type
Report

Topics and mentions

Product tags

  • report
  • data

Extraction

Confidence
90%
Detected
Aug 17, 2026
signal_type
news
signal_subtype
launches

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The API returns more than this page shows

This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/01dc658d-c28f-689d-f1f9-a473269d2d4b returns this record as JSON. POST /v1/companies/enrich returns every signal for gartner.com.

{
  "signal_id": "01dc658d-c28f-689d-f1f9-a473269d2d4b",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-08-17T19:42:13+00:00",
  "company": {
    "name": "Gartner",
    "domain": "gartner.com"
  },
  "data": {
    "url": "https://www.ciodive.com/news/ai-systems-outpace-cost-savings/828068/",
    "title": "Advances in AI capabilities to outpace cost savings",
    "author": "Paige Gross",
    "excerpt": "Enterprise dependence on AI will keep overall costs increasing exponentially even as per-token prices fall, according to Gartner. AI tokens may be getting more cost effective for enterprises, but organizations’ reliance on AI systems and how much they use the technology will keep driving up spending. Enterprises have worked to deploy agentic systems in 2026, with spending on AI-optimized infrastructure as a service - the compute that supports large language model training and operation - projected to nearly double through the end of 2026, reaching $42 billion, Gartner found earlier this month . Sommer told CIO Dive in a July interview that Gartner estimates global token consumption to be about 300 trillion tokens per day, an annualized growth rate of 500% to 600%. Hard-to-predict AI costs are forcing some enterprises to rethink their implementation plans. Nearly half of organizations reported that they’ve escalated AI spending surprises to the board, according to a July report by cost management software Mavvrik. Three main factors are shaping current token economics, Gartner’s Monday report found. Foundational model costs are going down - a win for enterprises - but improved AI efficiency is unlocking more powerful, expensive models to chase higher-value AI applications. Those sophisticated AI workflows use far more tokens than earlier models’ simple chatbot interactions...",
    "product": "Token Economics Report",
    "summary": "Gartner released a report finding that while foundational AI model costs are decreasing, the adoption of more powerful, expensive models for higher-value applications is driving up overall inference costs and total spending for enterprises.",
    "planning": false,
    "image_url": "https://imgproxy.divecdn.com/Y1pFwxJpbKOdD_rB8l0_Clo5XvVJlZdcpnXOOk-plK4/g:ce/rs:fit:770:435/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMTk1NjA3NjU5X3NZRHFqaDIuanBn.webp",
    "confidence": 0.9,
    "product_data": {
      "name": "Token Economics Report",
      "full_text": "Gartner’s Monday report",
      "fuzzy_match": false,
      "release_type": "report"
    },
    "product_tags": [
      "report",
      "data"
    ],
    "published_at": "2026-08-17T19:42:13Z",
    "effective_date": "2026-08-17",
    "article_sentence": "Three main factors are shaping current token economics, Gartner’s Monday report found."
  }
}

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