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Gen AI in the OFSE industry: Progress lags behind intent

Everyone is focused on ChatGPT. Nobody is talking about why AI adoption is stalling in oil & gas.

Reporting by McKinsey Insights 1 min brief
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The KeyNews take

Why it matters

McKinsey analysis reveals a critical gap: enterprise leaders see gen AI's ROI potential but deployment lags reality. For founders building AI solutions for industrial sectors, this signals both a market problem and an opportunity to solve adoption barriers.

The key facts

8 to know

  1. Gen AI adoption in oil, gas, and services (OFSE) industry lags behind stated intent

  2. Leaders recognize cost reduction and value-add potential but have not achieved scale

  3. McKinsey identifies focused efforts as key to unlocking substantial benefits

  4. Analysis suggests gap between recognition and execution in enterprise AI deployment

  5. Gen AI adoption in OFSE (Oil, Field Services, Energy) lags market projections

  6. McKinsey analysis identifies gap between organizational intent and scaling outcomes

  7. Focus areas: cost reduction and operational value creation

  8. Sector: Oil & Gas / Energy Services (enterprise-critical, high-ROI potential)

Go to the source

McKinsey Insightsmckinsey.com

Publisher excerpt: Leaders recognize gen AI’s potential to add value and reduce costs, yet the technology has not scaled as fast as anticipated. With focused efforts, operators could unlock substantial benefits.
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