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Chronicles

The story behind the story

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A profile of SAS CEO Jim Goodnight, the 83-year-old who co-founded the 50-year-old analytics firm and holds a ~67% stake worth $13.3B, as AI tests SAS' strategy

Forbes Phoebe Liu

Context & Ripple Effects

SAS is a long-established analytics company still led by its co-founder, whose controlling ownership concentrates both strategic authority and the financial stakes of any response to AI-driven change.

The related coverage places SAS in a data-and-AI ecosystem that also includes Databricks, Scale AI and AI-data specialist Surge AI, underscoring that analytics vendors now compete alongside faster-growing AI infrastructure and data-platform players.

First-order effects

  • SAS faces immediate pressure to demonstrate that its analytics products and strategy remain relevant as AI changes how customers build, deploy and consume data analysis.
  • Jim Goodnight’s large ownership stake makes the company’s strategic choices unusually tied to a founder-led decision structure rather than the priorities of dispersed public-market shareholders.

Second-order effects

  • SAS customers will have greater reason to compare its AI capabilities and integration path with alternatives from data-platform and AI-focused vendors, increasing switching and procurement pressure.
  • Competitors can use the moment to position newer AI-native tooling as a faster route to modern analytics, while SAS must defend the value of its installed relationships and established software base.

Third-order effects

  • If AI continues to reset expectations for analytics software, the market may shift from standalone analytics suites toward platforms that combine data infrastructure, models and application workflows.
  • Founder-controlled incumbent companies may face a sharper strategic trade-off: preserve durable product and ownership models, or make faster changes to keep pace with AI-native competitors.

The trend: AI is turning enterprise analytics from a mature software category into a contest over who can most credibly connect proprietary data, models and end-user workflows.

Discussion

  • @_pheebini Phoebe Liu on x
    My latest for @Forbes is a profile of the grandfather of analytics, SAS' billionaire cofounder Jim Goodnight. He had choice words about the large AI labs, talked about his Hadrosaurus egg from 69 million years ago and discussed his succession plan. (My statistics degree is very […