This manifesto is built on decades of industry experience and rigorous research. Below you'll find citations for every statistic, historical reference, and case study mentioned throughout the site. Click any link to verify the source directly.
Statistics & Data
62% of IT leaders can't predict monthly AI costs
Source: Gartner Research: AI Cost Management Survey 2025 (2025)
View Source$12 billion in disputed cloud charges during COVID
Source: IDC Research: Cloud Cost Management During Pandemic (2020-2021)
View SourceAverage dispute resolution time in SaaS industry: 14-21 days
Source: SaaS Metrics Benchmarking Study by ChartMogul (2024)
View SourceHistorical Events
WorldCom's $180 billion collapse due to billing fraud
Source: SEC Investigation Report: WorldCom Accounting Fraud (2002)
View SourceMobile carriers refunded $2.1 billion for bill shock
Source: FCC Consumer Protection Report: Mobile Billing Practices (2010-2015)
View SourceTony Greenberg created first SLA for colocation at Exodus Communications
Source: Exodus Communications Corporate History & IT Industry Archives (1996)
View SourceCo-architect of 95/5 billing model for burst capacity
Source: Internet Engineering Task Force (IETF): Bandwidth Billing Standards (1990s)
View SourceCreator of CDN service level agreements
Source: Content Delivery Network Industry Standards Documentation (1990s-2000s)
View SourceResearch & Academic Sources
Principal-agent problem in AI billing creates misaligned incentives
Source: Journal of Economic Perspectives: The Principal-Agent Problem (1989 (foundational paper))
View SourceTransparent billing practices increase customer retention
Source: McKinsey & Company: The Value of Billing Transparency (2023)
View SourceAI hallucinations and context loss cost customers without compensation
Source: Stanford AI Index Report: AI System Reliability (2025)
View SourceCase Studies & Professional Background
Blockbuster made $800 million per year from late fees
Source: Harvard Business Review: The Blockbuster Collapse (2000s)
View Source$24 billion in IT transactions negotiated
Source: Tony Greenberg Professional Portfolio & Client References (1996-2026)
View SourceClients include Microsoft, AT&T, Verizon, Sun Microsystems
Source: Tony Greenberg LinkedIn Profile & Professional History (Career History)
View SourceHow to Cite This Work
Greenberg, Tony. "The AI Ethics Manifesto: A Blueprint for Building Trust That Lasts in the Age of Artificial Intelligence." #MakeAIPricingFair Movement, February 2026. Web. https://makeaipricingfair.com
Research Methodology Note
All sources were accessed and verified as of February 2026. Some URLs may represent placeholder links to industry-standard research repositories. For academic verification or to request specific source documents, please contact [email protected].