Generative AI

Santiago & Company Launches Open AI Workforce Stability Architecture at UN WSIS Forum 2026

July 7, 2026

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Author

Joshua (Josh) Santiago, Managing Partner of Santiago & Company

Josh Santiago

Managing Partner

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Key Takeaways

Santiago & Company announced the public release of the AI Workforce Stability Architecture (AWSA) at the United Nations WSIS Forum 2026 in Geneva, introducing an open framework that helps governments monitor and prepare for the economic and fiscal impacts of AI-driven labor displacement in service-export economies before disruptions escalate. Released under a Creative Commons Attribution 4.0 license, AWSA provides exposure analysis, fiscal trigger thresholds, and workforce transition protocols, with proposed pilot applications in the Philippines, India, and Vietnam to support transparent, evidence-based AI governance.

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‍GENEVA, Switzerland, July 7, 2026

Santiago & Company today announced the public release of the AI Workforce Stability Architecture (AWSA), an open, design-stage framework created to help governments, development partners, and institutions monitor how rapid AI adoption in client markets may affect service-export economies, workforce transition, public finances, and long-term economic resilience.

The framework was introduced during Santiago & Company’s WSIS Forum 2026 session, “Structural Asymmetry: Addressing the Sovereign Risk of AI Labor Displacement,” held July 7 at the ITU Varembé Building in Geneva. The session formed part of the United Nations WSIS Forum 2026 and coincides with the AI for Good Global Summit, the ITU-led global convening focused on using AI to serve humanity.

AWSA is now available as an open public repository at:
https://github.com/SantiagoCompany/AWSA

“AWSA reflects a simple but urgent idea: governments should not have to wait for labor-market damage to become undeniable before they start the reform clock,” said Josh Santiago, Founder and Global Managing Partner of Santiago & Company. “AI governance needs more than principles. It needs observable triggers, fiscal discipline, transparent assumptions, and response sequencing that can be reviewed before crisis conditions arrive.”

AWSA is designed for service-export economies where digitally delivered work, business process outsourcing, IT services, customer operations, and adjacent knowledge work have become central to formal employment, foreign-exchange earnings, and middle-class mobility. The framework does not forecast job losses. Instead, it helps institutions monitor exposed channels, set fiscal-sensitivity thresholds, and pre-commit response pathways before disruption compounds.

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The architecture includes three core instruments:

  1. Exposure Baseline — a sector-by-occupation view of exposed employment and export receipts, including a demand-side lens on how AI adoption in client markets may transmit into domestic revenue lines.
  2. Fiscal Sensitivity Thresholds — named balance-of-payments, tax, payroll, and sub-sovereign revenue variables tied to trigger bands and response tiers.
  3. Transition Sequencing Protocol — a 30/60/90-day operating model for what happens after a trigger breaches, including bridge support on existing administrative rails and long-cycle workforce capacity building.

The public repository includes the AWSA framework brief, claim-tier register, country-pilot draft, evidence-base workbooks, fiscal model, exposure heatmap, and source-register CSVs. Santiago & Company released these materials under a Creative Commons Attribution 4.0 license to support scrutiny, adaptation, and responsible reuse.

“We are open-sourcing AWSA because responsible AI cannot be built behind closed doors,” Santiago added. “If a framework is meant to shape public choices, the assumptions, evidence rows, caveats, and failure modes should be visible. Transparency is not a communications choice here. It is part of the method.”

AWSA’s first proposed pilots focus on the Philippines, India, and Vietnam, each representing a different exposure profile. The Philippines is the most data-ready case, with a large IT-BPM workforce and published BPO receipts. India represents a state-level fiscal exposure variant because software exports are geographically concentrated across major technology states. Vietnam represents a growth-model variant, where the policy question is less about today’s export receipts and more about protecting future formal-employment pathways.

The release aligns with WSIS+20 priorities, the Global Digital Compact’s call for national assessments of AI’s impact, and AI for Good’s focus on skills, standards, partnerships, and practical AI governance. The framework also reflects Santiago & Company’s broader commitment to transparent, responsible AI: helping leaders convert AI into measurable value while preserving trust, institutional capacity, and human-centered outcomes.

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About Santiago & Company

Santiago & Company is an AI-native management consulting firm advising leadership teams on strategy, transformation, AI adoption, operating model redesign, performance improvement, and growth. The firm’s work is grounded in transparency, ethical governance, measurable impact, and the belief that technology transformation should strengthen institutions rather than destabilize the communities they serve.

Media Contact
Santiago & Company Consulting, LLC
Lenexa, Kansas, United States
Website: https://www.santiagocompany.com

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