Software priced by human access is exposed as agents rather than users consume capability. Durability depends on whether the vendor moves value capture toward data, workflow, governed action and outcomes before the seat weakens as a proxy.
14
observations
10
supportive
4
challenging or unresolved
Primary exposure
Human-Bounded Interaction
Economic activity that historically depended on humans navigating interfaces, discovering products or initiating transactions becomes mediated by autonomous systems.
Register-wide status: Strong
Capability Scarcity Dependence
Businesses whose economics depended on scarce access to expertise, software or technical capability experience declining scarcity.
Register-wide status: Strong
Evidence timeline
30 April 2026
Autonomy Economics published
Everything after this point is an observation made once the predictions were on the record.
Salesforce documentation states that Help Agent pricing is strictly outcome-based: unresolved sessions are not billed, while successful resolutions are billable outcomes.
Law 2Law 3Commercial alignment
Prediction testedAs autonomous systems perform work, value capture can migrate from access and activity units toward successful outcomes.
AssessmentSupportiveDirectly observable
Why it mattersThe outcome itself becomes the billing unit, while a verification rule determines whether payment is triggered.
Atlassian states that Customer Service Management AI agent resolutions will be charged at $1 per successful resolution from 3 December 2026, only when the AI fully resolves a customer request without handing it to a human.
Law 2Law 3Commercial alignment
Prediction testedAutonomous software can move value capture from user access toward successful outcomes, with verification determining when the economic event has occurred.
AssessmentSupportiveStrong
Why it mattersA second major SaaS vendor is independently adopting successful-resolution pricing, making the pattern less idiosyncratic.
The FT reported continued high redemption requests at Blackstone’s large retail private-credit fund and linked investor concern partly to exposure to leveraged software companies facing uncertainty over AI’s impact, while also identifying broader private-credit pressures.
CSDHBIRevenue Durability
Prediction testedAutonomy exposure can influence valuations and capital structures before operating revenue fully resets, including through credit and portfolio channels.
AssessmentAmbiguousModerate
Why it mattersIt may represent a second-order capital-market consequence of software durability uncertainty.
The FCA published a multi-firm review focused on frontier AI, cyber resilience, harness engineering, governance and vulnerability management, highlighting that firms must structure controls and operating environments around frontier models.
CSDLaw 1Law 3
Prediction testedAs model capability diffuses, value and operational scarcity should move toward the systems that organise, constrain, validate and absorb that capability.
AssessmentSupportiveStrong
Why it mattersA regulator is examining the harness and control environment as a distinct operational layer rather than treating the model alone as the relevant system.
The FT reported that PE-backed software companies are using shorter amend-and-extend transactions, paying higher yields and accepting stronger creditor protections as lenders assess AI-related threats to long-term software business-model durability alongside leverage and maturity risks.
CSDHBIRevenue Durability
Prediction testedMarkets and creditors can reprice the durability of exposed commercial structures before full operating-model or revenue deterioration is visible.
AssessmentAmbiguousStrong
Why it mattersIt suggests a transmission channel from autonomy exposure into cost of capital and creditor protections.
Atlassian documents Rovo credits as a meter for AI usage and enriched Teamwork Graph context, including calls made through the Rovo MCP server and CLI.
HBICSDLaw 1Law 2
Prediction testedAs agents rather than users consume software capability, the seat becomes a weaker standalone measure of value and new activity/context units emerge.
AssessmentSupportiveStrong
Why it mattersAtlassian is monetising agent and third-party access to underlying context even when work takes place outside the conventional product interface.
Salesforce and Anthropic announced Claudeforce, making Salesforce data, workflows, business logic, actions and governance accessible directly in Claude, initially through a plugin with 37 prebuilt sales skills.
HBILaw 1Law 3
Prediction testedExternal agents can become the user-facing interaction layer while the incumbent protects economic relevance by becoming the governed execution and context layer underneath.
AssessmentSupportiveDirectly observable
Why it mattersThe incumbent is voluntarily allowing a third-party agent to become the interface rather than trying to preserve UI scarcity.
Salesforce reported $10.8 billion in subscription and support revenue, up 12% year on year, nearly $3.9 billion in Agentforce and Data 360 ARR, 7 billion Agentic Work Units delivered to date, and reorganised revenue disclosure around Agentforce Apps and Data 360, Headless Platform and Other.
Prediction testedFirms that realign commercial structure with autonomous activity can remain economically durable while interface dependence and conventional activity units change.
AssessmentBoundary conditionStrong
Why it mattersIt is a live counterexample to a simplistic 'agentic AI destroys SaaS' thesis and therefore a useful positive test of the redesign proposition.
Salesforce expanded Headless 360 across its platform, exposing reusable enterprise capabilities through MCP, developer tools and headless experiences so authorised AI agents can discover and take action without relying on conventional application interfaces.
HBILaw 1Commercial alignment
Prediction testedAs agents become an interaction layer, interface dependence weakens and durable value can migrate toward underlying systems of record, workflow and governed action.
AssessmentSupportiveDirectly observable
Why it mattersThe vendor is explicitly designing for software to remain valuable even when humans do not navigate its interface directly.
DeepSeek released an open-source agent harness in developer preview under the MIT licence, built around an everything-is-a-plugin architecture.
CSDLaw 1
Prediction testedAs autonomous capability diffuses through open systems, scarcity should move away from raw access to the capability and toward how it is integrated, governed and applied.
AssessmentSupportiveStrong
Why it mattersOpen agent infrastructure broadens access to execution capability, not just model inference.
KPMG and Microsoft announced global deployment of Agent 365 and Copilot, including tooling to manage, monitor and secure AI agents across KPMG and client organisations, alongside Copilot deployment to more than 276,000 professionals.
HBPLaw 1Law 3
Prediction testedAs autonomous throughput expands, value and organisational importance move toward monitoring, control, verification and governed execution.
AssessmentSupportiveStrong
Why it mattersGovernance is being operationalised as infrastructure for enterprise-scale agent deployment, not treated solely as a compliance afterthought.
Salesforce reported record first-quarter results, more than $1 billion in Agentforce ARR, $3.4 billion in combined AI and data ARR, 3.8 billion Agentic Work Units delivered, and more than one million active Slack MCP users within six weeks of launch.
Prediction testedFirms that redesign around autonomous activity can preserve durability even while the old interaction structure weakens.
AssessmentBoundary conditionStrong
Why it mattersIt prevents the theory from being misread as 'AI must cause SaaS decline' and provides a live comparator for redesign versus non-redesign.
OpenAI launched the OpenAI Deployment Company to embed forward-deployed engineers in organisations, agreed to acquire Tomoro, and described a model for scaling deployment across the economy with capital and consulting partners.
Law 1Capital-Structured Autonomy
Prediction testedValue can move above individual operating companies toward actors that coordinate autonomous deployment, learning and workflow redesign across wider networks.
AssessmentSupportiveDirectly observable
Why it mattersThe organisation is explicitly designed around repeatable deployment capability rather than simple model access.
Anthropic, Blackstone, Hellman & Friedman and Goldman Sachs announced a new AI services company for mid-sized enterprises.
Law 1Capital-Structured Autonomy
Prediction testedCapital owners can organise deployment, engineering capability, standards and learning across networks of firms rather than each operating company adopting independently.
AssessmentSupportiveDirectly observable
Why it mattersThe structure closely matches the paper’s predicted ecosystem-level orchestration model.