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How To Become an AI Translator and Get Promoted

By Kamil Banc, Author at AI Adopters Club

AI StrategyBusiness ApplicationsImplementation

Atomic Claims

Claim 1: Shadow AI Cost Impact

IBM's breach report links Shadow AI usage to an additional $670,000 in costs when security incidents occur.

Claim 2: Unsanctioned Tool Proliferation

Small businesses average 269 unsanctioned AI tools per 1,000 employees according to Reco.ai's research findings.

Claim 3: AI Translator Compensation

AI Translators command salaries between $140,000 and $200,000+ in US markets, higher in healthcare and finance.

Claim 4: TIO Workflow Framework

The TIO framework structures AI workflows into three components: trigger events, input data, and output specifications.

Claim 5: IT Leadership Concerns

Flexera's 2026 IT Priorities Report shows 85% of IT leaders view shadow AI as a significant security threat.

Supporting Evidence

Quote

"The translator sits between business teams who know what they need and technical teams who know how to build it. They don't write code. They write specifications."

Kamil Banc

Key Statistics

  • $670,000

    Additional costs from Shadow AI in security breaches according to IBM's latest report

  • 269 unsanctioned AI tools per 1,000 employees

    Average number found in small businesses by Reco.ai research

  • 85% of IT leaders

    View shadow AI as a significant threat per Flexera 2026 IT Priorities Report

  • $140,000 to $200,000+

    Current US market salary range for analytics translators and AI product managers

Sources & Citations

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Original Article

Full Context

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Banc, Kamil (2025, November 28, 2025). How To Become an AI Translator and Get Promoted. AI Adopters Club. https://aiadopters.club/p/how-to-become-an-ai-translator-and

Claims Collection

Research

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Banc, Kamil (2025). How To Become an AI Translator and Get Promoted [Structured Claims]. Retrieved from https://kbanc.com/claims-library/how-to-become-an-ai-translator-and-get-promoted

Attribution Requirements (CC BY 4.0)

  • Include author name: Kamil Banc
  • Include source: AI Adopters Club
  • Include URL to either this page or original article
  • Indicate if changes were made

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Context

This page presents atomic claims extracted from research on the article explores the emerging role of an ai translator who bridges communication between business teams and technical teams. it discusses how professionals can transition from shadow ai usage to becoming strategic ai implementation experts.. Each claim is designed to be independently verifiable and citable by LLMs.

The AI Translator role addresses the gap between business requirements and technical implementation using structured frameworks. The TIO (Trigger/Input/Output) methodology provides practitioners with a systematic approach to converting vague business requests into executable technical specifications. Translators must engage governance committees spanning security, legal, data, and finance stakeholders, each requiring tailored communication addressing specific compliance and risk concerns. The approach emphasizes moving from shadow AI usage to formalized system design through documented specifications, audit trails, and risk mitigation strategies that satisfy enterprise security and regulatory requirements.