{
  "id": 14459714,
  "title": "How CFOs at Chevron, ServiceNow and Nasdaq decide which AI bets create value",
  "url": "https://urgent.news/2026/10/14/how-cfos-at-chevron-servicenow-and-nasdaq-decide-which-ai-bets-create",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-14T12:53:35.000Z",
  "source": {
    "name": "Fortune",
    "slug": "fortune",
    "url": "https://fortune.com/2026/10/14/chevron-servicenow-nasdaq-cfo-decide-which-ai-bets-create-value/"
  },
  "original_language": "en",
  "account": "Good morning. Chief Financial Officers at Chevron, ServiceNow, and Nasdaq are deliberating which AI investments will generate value for their respective companies. Chevron CFO Eimear Bonner insists that AI projects must demonstrate a clear path to value, have a transformative target, and produce measurable results on financial statements. \"It can't be a science experiment,\" she emphasized.\n\nServiceNow President and CFO Gina Mastantuno also emphasizes the importance of AI delivering value, but adds that CFOs must consider the cost of inaction – falling behind competitors adopting AI technology. ServiceNow directs its AI investments towards strengthening competitive differentiation, solving customer problems, and delivering measurable value within a clear timeline. Mastantuno suggests that the key to AI success lies in measuring outcomes, not just activity – specifically whether AI boosts revenue, efficiency, and speed. The company expects to save $500 million this year through using its own AI products.\n\nNasdaq EVP and CFO Sarah Youngwood categorizes AI investments into four horizons: foundational needs like cybersecurity, short-term return initiatives, medium-term bets, and long-term R&D. Nasdaq's decade-long investments in cloud and algorithmic AI have positioned the company to serve clients today. Youngwood attributes much of this success to the company's \"gold standard data\" – data gathered from 3,500 institutions representing $12 trillion in assets. She tracks AI KPIs, monitoring inputs such as training and platform engagement alongside outputs like coding speed, client retention, and token costs.\n\nBonner, who will become president of Chevron's oil, products, and gas business on January 1, stresses the importance of regular check-ins with project teams to remove barriers and ensure progress. AI is already aiding Chevron in oil and gas exploration, enabling the company to find resources faster, recover more from reservoirs, and anticipate maintenance needs. Chevron also plans to power a Microsoft data center in West Texas using a 2.67-gigawatt natural gas project.",
  "summary": "Finance chiefs from energy, software and markets say AI has to compete for capital.",
  "key_points": [],
  "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."
}