CONTROVERTIST

Examinations

A growing archive of independently examined theses. Each entry takes a single claim seriously enough to argue against it.

Examination 024
Under which slowdown regimes does the safety value of additional time exceed the combined effects of capability leakage, strategic substitution, and changes in who controls frontier-scale compute?
Examined: September 2026
Examination 023
Did production AI deployed before Oracle’s workforce reductions measurably lower labor required for the affected workflows, or did Oracle principally change which products, locations, and organization
Examined: September 2026
Examination 022
Can the product reportedly called Claude Cowork convert agentic workplace execution into measurable customer retention, purchasing influence, and workflow control before OpenAI reproduces the capabili
Examined: September 2026
Examination 021
Can the security actually available to investors plausibly capture enough durable, dilution-adjusted free cash flow from OpenAI’s products to be worth $1.2 trillion despite compute intensity, partner
Examined: September 2026
Examination 020
By 2030, in which business-software categories will agent-driven changes in labor substitution, utilization, and cost-to-serve make human seats a materially worse pricing meter than consumption, compl
Examined: August 2026
Examination 019
Will realized workplace AI adoption reduce the flow of new workers into a defined set of U.S. white-collar occupations enough to push entry-level hiring or employment 30% below a specified baseline by
Examined: August 2026
Examination 018
Can AI improve clinical attrition, decision timing, and trial execution enough to reduce inflation-adjusted expected cost per approved therapeutic by 30% against a defined no-AI 2035 counterfactual, r
Examined: August 2026
Examination 017
Can any new U.S. nuclear project reach commercial operation before 2035 with a financeable, risk-adjusted cost of firm low-carbon electricity below that of the regionally relevant new gas alternative
Examined: August 2026
Examination 016
Under what combinations of patient targeting, net drug price, persistence, clinical-event reduction, and survival-related spending would expanded U.S. incretin use produce lower cumulative healthcare
Examined: August 2026
Examination 015
By 2030, will major OOH buyers make an auditable exposure standard a de facto procurement condition, and which formats, jurisdictions, metrics, and verification institutions could economically comply?
Examined: August 2026
Examination 013
What fraction of AI-enabled engineering productivity can software companies convert into removable operating expense, net of adoption costs and competitive pass-through, relative to revenue in fiscal
Examined: August 2026
Examination 012
Under what cost structure, adoption intensity, competitive conditions, and managerial response would AI-assisted development allow a defined cohort of software companies to retain at least five percen
Examined: August 2026
Examination 011
Under what combinations of sustained GLP-1 use, customer-level fast-food spending response, restaurant adaptation, margin exposure, and investor repricing would the U.S. fast-food industry's 2035 ente
Examined: August 2026
Examination 010
Under what task, industry, and organizational conditions does early AI-driven labor substitution create durable competitive advantage rather than temporary payroll savings followed by capability loss,
Examined: August 2026
Examination 009
Under which demand, location, and time-horizon scenarios does a specific infrastructure constraint become the marginal limiter of deployable AI compute, and can the value attributable to relieving tha
Examined: August 2026
Examination 008
By 2030, will production-grade agents shift the scarce and monetizable control point in enterprise software from human-facing application seats to systems that own data, permissions, transactions, and
Examined: August 2026
Examination 007
By 2030, will enterprise AI agents shift economic control from human-seat application vendors to the layers that govern data, permissions, and workflow execution, and which SaaS categories can redesig
Examined: August 2026
Examination 006
By December 31, 2029, can broadly reusable humanoid robots achieve a lower risk-adjusted cost per productive hour than humans, conventional automation, and workflow redesign in enough paid production
Examined: August 2026
Examination 004
Will economically viable, non-duplicated demand for deployable AI compute exceed risk-adjusted effective capacity in enough regions and infrastructure layers to sustain measurable scarcity through Dec
Examined: August 2026
Examination 003
Under which task, organizational, and institutional conditions does generative AI reduce the wages, scarcity, bargaining power, or employment of particular forms of human expertise, even when it incre
Examined: August 2026

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Examinations

Under which slowdown regimes does the safety value of additional time exceed the combined effects of capability leakage, strategic substitution, and changes in who controls frontier-scale compute?

Did production AI deployed before Oracle’s workforce reductions measurably lower labor required for the affected workflows, or did Oracle principally change which products, locations, and organization

Can the product reportedly called Claude Cowork convert agentic workplace execution into measurable customer retention, purchasing influence, and workflow control before OpenAI reproduces the capabili

Can the security actually available to investors plausibly capture enough durable, dilution-adjusted free cash flow from OpenAI’s products to be worth $1.2 trillion despite compute intensity, partner

By 2030, in which business-software categories will agent-driven changes in labor substitution, utilization, and cost-to-serve make human seats a materially worse pricing meter than consumption, compl

Will realized workplace AI adoption reduce the flow of new workers into a defined set of U.S. white-collar occupations enough to push entry-level hiring or employment 30% below a specified baseline by

Can AI improve clinical attrition, decision timing, and trial execution enough to reduce inflation-adjusted expected cost per approved therapeutic by 30% against a defined no-AI 2035 counterfactual, r

Can any new U.S. nuclear project reach commercial operation before 2035 with a financeable, risk-adjusted cost of firm low-carbon electricity below that of the regionally relevant new gas alternative

Under what combinations of patient targeting, net drug price, persistence, clinical-event reduction, and survival-related spending would expanded U.S. incretin use produce lower cumulative healthcare

By 2030, will major OOH buyers make an auditable exposure standard a de facto procurement condition, and which formats, jurisdictions, metrics, and verification institutions could economically comply?

What fraction of AI-enabled engineering productivity can software companies convert into removable operating expense, net of adoption costs and competitive pass-through, relative to revenue in fiscal

Under what cost structure, adoption intensity, competitive conditions, and managerial response would AI-assisted development allow a defined cohort of software companies to retain at least five percen

Under what combinations of sustained GLP-1 use, customer-level fast-food spending response, restaurant adaptation, margin exposure, and investor repricing would the U.S. fast-food industry's 2035 ente

Under what task, industry, and organizational conditions does early AI-driven labor substitution create durable competitive advantage rather than temporary payroll savings followed by capability loss,

Under which demand, location, and time-horizon scenarios does a specific infrastructure constraint become the marginal limiter of deployable AI compute, and can the value attributable to relieving tha

By 2030, will production-grade agents shift the scarce and monetizable control point in enterprise software from human-facing application seats to systems that own data, permissions, transactions, and

By 2030, will enterprise AI agents shift economic control from human-seat application vendors to the layers that govern data, permissions, and workflow execution, and which SaaS categories can redesig

By December 31, 2029, can broadly reusable humanoid robots achieve a lower risk-adjusted cost per productive hour than humans, conventional automation, and workflow redesign in enough paid production

Will economically viable, non-duplicated demand for deployable AI compute exceed risk-adjusted effective capacity in enough regions and infrastructure layers to sustain measurable scarcity through Dec

Under which task, organizational, and institutional conditions does generative AI reduce the wages, scarcity, bargaining power, or employment of particular forms of human expertise, even when it incre