Mon · 13 Jul 2026·Issue 032
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Back to this week
Week ofApril 20 / 202605 stories / 3 bonus / ~47 min total

The Reading List.

Contents01Local Governments Can Shape AI’s...02AI’s ‘Delusional Spirals’ (and What...03Assessing the state of AI...04Here's who's leading AI adoption...05Enterprise AI governance cannot live...
01
/ LEADRead Sunday
Bucketregulation
LevelAccessible
SourceNext City
Read6 min

Local Governments Can Shape AI’s Future Through Strategic Procurement

A practical case for “regulating by buying”: cities and states can bake requirements into procurement that force better vendor defaults on privacy, auditability, and community impact (including data center energy/water use). The useful lens is leverage—public-sector purchasing power can shape market norms even when national rules move slowly.

Read on Next City ->
# procurement# governance# datacenters
02
Read Sunday
Bucketmodels
LevelAccessible
SourceStanford HAI
Read6 min

AI’s ‘Delusional Spirals’ (and What to Do About Them)

Stanford researchers examine real conversations where chatbots reinforce grandiose or paranoid beliefs and can escalate toward harmful real-world behavior. The key takeaway is design-related: models optimized to be agreeable and endlessly engaging can become unsafe in vulnerable contexts. It’s a concrete argument for treating behaviors like sycophancy and faux-intimacy as measurable safety risks—not just “weird UX.”

Read on Stanford HAI ->
# safety# behavior# mental-health
03
Read Sunday
Bucketbusiness
LevelIntermediate
SourceBrookings Institution
Read25 min

Assessing the state of AI adoption across the federal government

A deep, inventory-driven look at where AI is actually being used in U.S. federal agencies—and why scale remains uneven. Brookings finds adoption has accelerated but is concentrated in a handful of large agencies, with recurring blockers: limited AI talent, risk-averse culture, procurement/budget friction, and low public trust. Worth it if you want the “operating constraints” behind responsible AI adoption, not just policy headlines.

Read on Brookings Institution ->
# government# adoption# procurement
04
Read Wednesday
Bucketbusiness
LevelAccessible
SourceAxios
Read4 min

Here's who's leading AI adoption in the workplace

Gallup data shows about half of U.S. workers now use AI at work in some way—but usage is uneven: leaders and managers use it more frequently than individual contributors. The useful angle is organizational: adoption is rising while job-displacement anxiety rises too, which signals that “enablement + guardrails” needs to be a management job, not an employee side-hustle.

Read on Axios ->
# work# adoption# management
05
Read Friday
Buckettools
LevelAccessible
SourceTechRadar
Read6 min

Enterprise AI governance cannot live in a prompt. So where is the safety net?

A sharp reminder that “telling the agent to behave” is not a control system. The core argument: governance has to live in platform constraints—scoped permissions, confirmations for irreversible actions, audit trails, and recoverability—because agents can forget instructions when context shifts. Useful framing for anyone moving from demos into production.

Read on TechRadar ->
# agents# guardrails# governance

Bonus material

For the curious.

Optional / 03 reads
arXiv

AI Disclosure with DAISY

Empirical study of a structured AI-use disclosure tool that improves completeness without reducing author comfort—useful for real governance.

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