The New Agentic Value Chain

2026-02-13 · Source: The Business Engineer · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

The "agentic coding revolution" is reshaping the traditional linear SaaS value chain into a "SaaS Hourglass" model, concentrating value at the extremes while squeezing the middle. Historically, value was distributed relatively evenly across systems of record, middleware, applications, and UIs, optimized for human interaction. The new barbelled structure sees value concentrating in the orchestration layer at the top and the proprietary data/context layer at the bottom. UI-dependent, seat-based, workflow-centric applications, which previously captured significant enterprise software margins, are now vulnerable due to the compression of the human seat as an economic unit. This shift reorganizes the value chain into five tiers, prompting a critical strategic question for enterprise technology over the next decade regarding value capture and ownership.

Key takeaway

For enterprise technology leaders evaluating strategic investments, recognize that the traditional SaaS value chain is being fundamentally reshaped. Your focus should shift towards owning either the agent orchestration layer or proprietary data and context, as these areas will capture the most value. Re-evaluate investments in UI-dependent, seat-based applications, as their economic unit is compressing, posing a significant risk to future margins.

Key insights

The agentic revolution transforms linear SaaS value chains into a "SaaS Hourglass" with concentrated value at orchestration and data layers.

Principles

• Value shifts from UI-centric apps.
• Human seat economic unit compresses.

In practice

• Identify your tier in the new chain.
• Focus on orchestration or data ownership.

Topics

• Agentic Revolution
• SaaS Value Chain
• Agent Orchestration
• Enterprise Software
• Data Layer

Best for: Investor, Entrepreneur, VP of Engineering/Data, AI Product Manager, CTO, Consultant

Related on AIssential

• 🥊 SaaSpocalypse hits world capital market. — AI models are rapidly advancing in cybersecurity, financial automation, and agent-based platforms, while disrupting traditional software business models.
• Beyond B2B and B2C: Preparing for the business-to-agents (B2A) era — The future of business involves a B2A layer where AI agents actively mediate transactions, requiring enterprises to become machine-readable and actionable.
• The New Software Stack — The enterprise stack is shifting from human-centric SaaS to machine-centric agentic systems, inverting value distribution.
• The SaaS Value Chain Is Breaking — The human-centric SaaS value chain and its per-seat pricing model are breaking due to evolving operational paradigms.
• The AI Orchestration Layer In Banking Is The New Battleground — The banking industry is shifting to agentic AI orchestration as the core execution layer for customer journeys.
• Agentic AI: We have passed the inflection point — The AI landscape is shifting towards agentic AI amidst a critical data center shortage and rising compute costs.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by The Business Engineer.