A useful economic theory must be capable of being wrong. This monitor therefore records evidence that weakens the framework as well as evidence that supports it, and states in advance what would falsify each proposition.
0
contradictory observations
6
observations that contradict, bound or qualify
22
observations in total
No directly contradictory evidence has yet been recorded. That is a finding about a four-month register, not a result. A monitor that never records contradictory evidence is either observing a very short window or failing at its job, and this one has so far observed a very short window. The falsification tests below are stated in advance precisely so that this claim can be checked against them later.
Falsification tests
Each proposition is published with the observation that would count against it. These conditions were set before the evidence was gathered and are not revised to fit it.
Proposition
What would falsify it
Status
MechanismHuman-Bounded Progression
Human progression falls materially across a sector, yet effort-based pricing remains durable and economically dominant for several years.
Strong
MechanismHuman-Bounded Interaction
Agents bypass interfaces at scale, yet interface-dependent businesses retain unchanged pricing power and seat economics.
Strong
MechanismCapability Scarcity Dependence
Capability becomes widely available and cheap, yet scarcity rents in the affected businesses remain unchanged.
Strong
LawValue moves from production to orchestration
Autonomous capability scales while economic value continues to accrue to production rather than to coordination, context, integration or control planes.
Very strong
LawValue moves from access to outcomes
Autonomous activity grows substantially while commercial models remain overwhelmingly access-based, with outcome pricing staying marginal.
Very strong
LawValue concentrates where scarce judgement governs autonomous throughput
Governance and verification become commoditised and capture little economic value even as autonomous throughput scales.
Very strong
PropositionAgentic Profit Paradox
Efficiency-only adopters systematically outperform redesigning firms, with no deterioration in the durability of their commercial structure.
Moderate
PropositionCapital-Structured Autonomy Ecosystems
Capital-coordinated deployment vehicles produce no reusable cross-company capability, and portfolio outcomes are indistinguishable from independent adoption.
Directly observable
PropositionRevenue Durability effects
Activity structure changes materially across exposed sectors while pricing, retention, margins and financing conditions remain unaffected.
Strong
Evidence against, and evidence unresolved
Contradictory evidence first, then boundary conditions showing where the framework does not apply or does not yet apply, then observations that genuinely support more than one reading.
Demand for law firm hours rose 4.2% through the first half of 2026 against a normal rate of about 1.5%, while two-thirds of firms reported daily associate use of AI and clients pressed to move away from the billable hour.
HBPLaw 2Revenue DurabilityCommercial alignment
Prediction testedReduced human progression should be observable before, or alongside, pressure on the commercial unit that prices it. This record tests whether the predicted reduction in progression is visible at all in the sector where buyer pressure is strongest.
AssessmentBoundary conditionStrong
Why it mattersIt is the clearest counterweight on the register to the legal pricing-pressure records. Billed hours rising at nearly three times the normal rate, while AI use is near-universal inside the same firms, is not what a simple reading of the mechanism predicts. It forces the sequence to be stated more carefully: buyer pressure can run ahead of any measurable change in activity, driven by expectation and by the visible profitability of the supplier rather than by an observed reduction in effort.
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.
The July Financial Stability Report said frontier models can sustain longer, more complex multi-step tasks with less human intervention, while also warning that agentic workflows can be costly and that autonomous payments raise questions around authorisation, traceability, liability and governance.
HBPLaw 3
Prediction testedTechnical maturity changes the timing of commercial pressure, while governance and control become more important as autonomous execution expands.
AssessmentBoundary conditionStrong
Why it mattersAn independent central bank is observing both rising autonomy and the constraints that determine when it becomes economically deployable.
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.
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.
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.