AIToday
AI Regulation & PolicyAI Business & IndustrySiliconANGLE AIPublished: Sep 17, 2026, 04:00 JST

Steve Soter: 84% of executives would trust AI on annual reports

Steve Soter: 84% of executives would trust AI on annual reports

3 Key Points

  1. What happened

    Workiva vice president Steve Soter told theCUBE at Workiva's Amplify event that its research found 84% of executives are at least somewhat willing to trust AI to generate an annual report without human review.

  2. Why it matters

    Human accountability still sits with the executive who approves the report, so that appetite for AI-generated filings may be running ahead of the controls meant to ground them.

  3. What to watch

    The gap hinges on whether AI-assisted reporting keeps documented approvals and traceable data, since Soter argues speed without that grounding becomes a liability rather than an asset.

WHO IT HITSFinance and accounting teams drafting annual reports and board materials face this gap, since an executive still signs off on AI-generated numbers they may not have traced.

Ask the AI about this article →

Summaries like this, in your inbox every morning.

Context & Analysis

TheCUBE, SiliconANGLE Media's livestreaming studio, interviewed Soter at Workiva's Amplify event alongside Krista Case and Alison Kosik. He framed AI in financial reporting as a different flavor of the same risk he handled as a former controller, when knowing where data came from, who touched it, and how it was reviewed and approved was already essential. In his account, AI doesn't change that need; it makes it more important, because accelerating a process that lacks those controls turns speed into a liability.

The tensions Soter described run in two directions. Companies are drawn to AI for reporting work, yet many are automating before repairing the information foundations underneath. He suggested AI might itself help clean up unreliable records and lift the 11% figure, while cautioning that AI is only as good as the data it uses. Oversight, in his view, is not a temporary precaution while the technology matures but a core part of the reporting process.

The stakes look likely to sit with the executive who signs off rather than the tool that drafts, since responsibility stays human even when machines complete more of the work. How much of that willingness to trust AI translates into practice may depend on whether traceable data and documented approvals keep pace with the appetite for automation.

FAQ
What did Workiva's research find about executive trust in AI?
84% of executives said they were at least somewhat willing to trust AI to generate an annual report without human review. Only 11% considered their data sufficient for AI use.
Who is responsible if AI gets a financial report wrong?
Steve Soter said an AI tool isn't signing off on the financial statements; a human is, and that human carries the risk if the AI's work wasn't correct.
Why does Soter say speed from AI can be a liability?
He said accelerating a reporting process without grounded data and documented approvals lets an error spread faster and makes its source harder to reconstruct.
SiliconANGLE AIRead Original Article

Get the latest AI Regulation & Policy news every morning

For example, today's edition would include:

  • Google DeepMind launches DeepMind Institute for AGI safety and governanceTHE DECODER · 2h ago
  • AIUC raises $40M as Cursor, Harvey back agent standardLatent Space · 2h ago
  • Minneapolis councilors propose drivers in Waymos by Sept. 22 hearingFortune AI · 2h ago

AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. Q&As are published on this page for other readers too.

Related Articles

Next articleHuawei unveils world's first 3D data center