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New classes, new skills
New classes, new skills … Between the 1850s and the 1930s, capitalism experienced a permanent separation of ownership from control as professional managers assumed operational authority - and nearly simultaneously, enterprises invented systematic governance frameworks (standardised managerial accounting, formalised audits, standardised business education) to monitor and constrain these newly powerful delegates.
The emerging agentic enterprise represents an analogous inflection point: MIT research identifies 2025 as a critical moment where AI orchestration transitions from siloed experimentation to integrated infrastructure, triggering parallel governance imperatives - policy-as-code frameworks, real-time monitoring systems, and new credentialisation pathways to manage AI agents as semi-autonomous coordinators operating within bounded governance parameters.
What differs fundamentally is the type of agent being governed: managerial capitalism created frameworks to constrain ambitious human decision-makers with personal incentives and negotiation power; agentic systems require frameworks to constrain inference systems that lack human social context yet relentlessly optimise mathematical objectives, suggesting entirely different governance architectures may be required.
When you transfer operational authority away from individuals who can be held personally accountable, what systematic guardrails must replace personal responsibility?
Profiled research:
Frontier AI use case developments:
AI Agents for Customer Service – End-to-End Automation - https://www.comm100.com/blog/best-ai-chatbots-for-customer-service/;
Gen-AI-Powered Network Digital Twins for Autonomous Operations - https://iowngf.org/wp-content/uploads/2025/02/IOWN-GF-RD-NDT_Use_Case-2.0.pdf;
AI-Driven Smart Grids and Grid Optimisation - https://cleanenergyforum.yale.edu/2025/11/12/power-hungry-power-smart-can-ai-reduce-the-grid-strain-its-fueling.
Applied AI developments:
MLOps, Data Architecture, and Model Lifecycle Management - https://www.redhat.com/en/blog/enterprise-mlops-reference-design.
Trusted AI developments:
NIST AI Risk Management Framework 2025 Updates – Enhanced Guidance - https://www.ispartnersllc.com/blog/nist-ai-rmf-2025-updates-what-you-need-to-know-about-the-latest-framework-changes/;
Australian AI Safety Institute (AISI) Establishment Announcement - https://www.minister.industry.gov.au/ministers/timayres/media-releases/establishment-australian-ai-safety-institute.
Feature AI development:
The Emerging Agentic Enterprise (AI‑Orchestrated Operations) - https://sloanreview.mit.edu/projects/the-emerging-agentic-enterprise-how-leaders-must-navigate-a-new-age-of-ai/.
#AI #EnterpriseAI #AIValue #FrontierAI #AppliedAI #TrustedAI #AIGovernance #AISafety #ResponsibleAI #AIStressTest #Learning #History #Technology #Innovation
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By Geoff FerresNew classes, new skills … Between the 1850s and the 1930s, capitalism experienced a permanent separation of ownership from control as professional managers assumed operational authority - and nearly simultaneously, enterprises invented systematic governance frameworks (standardised managerial accounting, formalised audits, standardised business education) to monitor and constrain these newly powerful delegates.
The emerging agentic enterprise represents an analogous inflection point: MIT research identifies 2025 as a critical moment where AI orchestration transitions from siloed experimentation to integrated infrastructure, triggering parallel governance imperatives - policy-as-code frameworks, real-time monitoring systems, and new credentialisation pathways to manage AI agents as semi-autonomous coordinators operating within bounded governance parameters.
What differs fundamentally is the type of agent being governed: managerial capitalism created frameworks to constrain ambitious human decision-makers with personal incentives and negotiation power; agentic systems require frameworks to constrain inference systems that lack human social context yet relentlessly optimise mathematical objectives, suggesting entirely different governance architectures may be required.
When you transfer operational authority away from individuals who can be held personally accountable, what systematic guardrails must replace personal responsibility?
Profiled research:
Frontier AI use case developments:
AI Agents for Customer Service – End-to-End Automation - https://www.comm100.com/blog/best-ai-chatbots-for-customer-service/;
Gen-AI-Powered Network Digital Twins for Autonomous Operations - https://iowngf.org/wp-content/uploads/2025/02/IOWN-GF-RD-NDT_Use_Case-2.0.pdf;
AI-Driven Smart Grids and Grid Optimisation - https://cleanenergyforum.yale.edu/2025/11/12/power-hungry-power-smart-can-ai-reduce-the-grid-strain-its-fueling.
Applied AI developments:
MLOps, Data Architecture, and Model Lifecycle Management - https://www.redhat.com/en/blog/enterprise-mlops-reference-design.
Trusted AI developments:
NIST AI Risk Management Framework 2025 Updates – Enhanced Guidance - https://www.ispartnersllc.com/blog/nist-ai-rmf-2025-updates-what-you-need-to-know-about-the-latest-framework-changes/;
Australian AI Safety Institute (AISI) Establishment Announcement - https://www.minister.industry.gov.au/ministers/timayres/media-releases/establishment-australian-ai-safety-institute.
Feature AI development:
The Emerging Agentic Enterprise (AI‑Orchestrated Operations) - https://sloanreview.mit.edu/projects/the-emerging-agentic-enterprise-how-leaders-must-navigate-a-new-age-of-ai/.
#AI #EnterpriseAI #AIValue #FrontierAI #AppliedAI #TrustedAI #AIGovernance #AISafety #ResponsibleAI #AIStressTest #Learning #History #Technology #Innovation