06 August 2026 How data strategy can activate AI's fit with oil and gas tax functions Oil and gas companies have made the decision: Tax and finance functions need to transform. The pace and scale of regulatory changes, cost pressures and talent constraints effectively made the decision unavoidable. What has changed is the pressure around execution. The EY 2025 Tax and Finance Operations Survey found nearly two-thirds of O&G leaders cite the inability to execute a sustainable data and technology strategy as the biggest barrier to tax and finance functions delivering on their purposes, outplacing budget or talent concerns. This gap between ambition and outcomes is widening just as the pressure intensifies. Regulatory complexity continues to grow, cost reduction programs are reshaping finance organizations and workforce constraints are becoming more acute. This article, by Greg Matlock, EY's Americas Oil & Gas and Chemicals Tax Leader, discusses how AI can accelerate tax transformation, but only when data, talent and operating models are aligned. Document ID: 2026-1299 |
