Software priced by human access is exposed as agents, in place of 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.
19
observations
12
supportive
7
challenging or unresolved
Primary exposure
Human-Bounded Interaction
Economic activity that depended on human attention, discovery, navigation or interface use can be mediated by autonomous systems acting on the user's behalf.
Register-wide status Multiple observations consistent with proposition
Capability Scarcity Dependence
Commercial structures that depend on scarce or controlled access to underlying capability become exposed as autonomous capability expands access, replication or substitution.
Register-wide status Multiple post-publication observations consistent with proposition
Evidence timeline
30 April 2026
Autonomy Economics published
Everything after this point is an observation made once the predictions were on the record.
Within 16 days of TypeSafe AI launching Jev as a specialised System One decision model, Cloudflare and Strands released competing decision models with open weights or open-source code, while OpenAI announced a Decisions API and Perplexity made an Apache-2.0 decision model available. The cluster broadens access to a newly differentiated decision capability across hosted APIs, cloud platforms and local or self-hosted implementations.
CSD
Prediction testedWhether a newly scarce technical capability can be replicated, substituted and accessed through competing providers, cloud platforms and open weights, weakening scarcity around access to the capability itself.
AssessmentSupportiveStrong
Why it mattersThe sequence closely matches the mechanism described by CSD, in which value is exposed when a capability that was difficult to access, replicate or substitute becomes available through multiple credible routes. The speed of diffusion is particularly informative because the relevant capability category moved from a specialist launch to competing hosted and open implementations within weeks.
In a September 2026 investor presentation, Blackstone President and COO Jon Gray described substantial realised AI productivity gains across portfolio companies, then highlighted multiple compression in professional services, software and information-services businesses even where underlying operations remained sound, and said management teams that move the model from seats to outcomes should be better positioned.
Prediction testedWhether autonomous capability can generate substantial operating gains while markets simultaneously question the durability of legacy commercial structures, and whether the proposed response shifts value capture away from seat-based access toward outcomes.
AssessmentSupportiveStrong
Why it mattersIt combines three parts of the proposed mechanism in one post-publication primary-source presentation, namely realised productivity gains, repricing before broad operating deterioration, and an explicit recommendation to move from seats to outcomes.
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, and does not treat 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, in place of users, consume software capability, the seat becomes a weaker standalone measure of value and new activity and 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.
Vercel's September 2026 AI Gateway Production Index shows open-weight models processing 56% of gateway token volume in August while accounting for 14% of estimated spend. Average price per token fell 23.2% during the month, while Anthropic retained 64% of gateway spend. The same dataset therefore shows both rapid diffusion of lower-cost capability and persistent concentration of premium spending.
CSD
Prediction testedTests whether broad availability of cheaper and open-weight capability erodes scarcity rents, or whether premium frontier capability continues to sustain concentrated spending.
AssessmentAmbiguousStrong
Why it mattersThe same production dataset contains evidence in both directions. It is therefore useful for defining where CSD may weaken first and where premium capability can remain scarce enough to command materially higher spending.
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, giving up the attempt 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.
Futurum's 2H 2026 Enterprise Software Decision-Makers Survey finds a split in buyer pricing preferences. Per-seat pricing ranks last for core software at 12.6%, but first for separately billed generative AI functionality at 42.3%, ahead of consumption pricing at 36.6% and outcome pricing at 21.1%.
Law 2
Prediction testedTests whether buyers move consistently away from access-based pricing as autonomous capability expands, or whether uncertainty can preserve seat pricing in some categories.
AssessmentBoundary conditionModerate
Why it mattersThe same buyers express different commercial preferences for core software and AI. That makes the observation more useful than a simple vendor pricing example, because it shows that the commercial unit can depend on the risk characteristics of the category as well as on the underlying technical capability.
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 as well as to 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.
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, and model access is only one part of it.
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, instead of each operating company adopting independently.
AssessmentSupportiveDirectly observable
Why it mattersThe structure closely matches the paper’s predicted ecosystem-level orchestration model.
Microsoft made Agent 365 generally available as a control plane for AI agents while retaining a per-user commercial unit. The standalone product is priced at $15 per user per month, with each licence covering an individual who manages or sponsors agents, or uses agents to do work on their behalf.
Why it mattersThe observation is useful because the product sits close to the autonomous control layer and still remains priced per user. It narrows any overly simple reading of Law 2 that would expect agentic products to abandon user-based pricing immediately.