Humans in Control

Humans in Control is a United States national grassroots advocacy organization founded in January 2026 to build cross-partisan public pressure for AI safeguards, with a declared strategic priority of making AI accountability a decisive issue in the 2028 presidential election. Operating through a hybrid 501(c)(3) and 501(c)(4) structure, it mobilizes parents, workers, veterans, students, and rural and small-city residents — communities that its organizers identify as systematically underrepresented in AI-policy debates dominated by technologists and industry insiders. Its organizing model, borrowed from the climate movement, pairs a small paid staff with networks of trained volunteer leaders who build and lead their own local teams, creating a distributed grassroots infrastructure oriented toward electoral inflection points.

Founding

Humans in Control was founded in January 2026 by Vael Gates, an AI-risk researcher who spent nearly a decade studying advanced AI before concluding that mobilizing ordinary Americans around the issue was an important gap no existing organization was filling. Gates identified the absence of a genuine mass-public constituency for AI safeguards — a gap comparable to the state of climate advocacy before organizations like 350.org created a grassroots base — as the structural problem worth addressing. On August 10, 2026, Gates was succeeded as executive director by Jon Warnow, who co-founded 350.org and helped organize the People's Climate March, bringing direct experience building the infrastructure that turned climate change from an expert-community concern into a mass political movement.

Organizational structure and model

Humans in Control operates as a hybrid entity: the 501(c)(3) organization supports public education, volunteer recruitment and training, community presentations, and chapter-building work; the 501(c)(4) — Humans in Control Action — funds the candidate-facing electoral advocacy that the c3 cannot legally support. This two-entity structure, standard in US advocacy, allows the organization to pursue both civic education and direct electoral engagement under a unified campaign.

The organization's core operating model is the "snowflake" distributed-organizing structure: paid staff recruit and train volunteer leaders, who then recruit and lead their own teams. Hubs are built in early-primary states — Iowa and Nevada — and through national distributed programs that reach organizers in communities that rarely participate in AI policy conversations: rural areas, small cities, and politically conservative communities where the cross-partisan framing of AI accountability is designed to land differently than in coastal tech-adjacent progressive contexts.

The organization explicitly declines to accept donations from frontier AI companies (OpenAI, Anthropic, Google DeepMind, Meta, xAI) or from their founders and C-suite executives — a stated commitment to avoiding the funding conflicts that have complicated the independence of other AI governance organizations.

Audiences and messaging

The organization's three core audiences — parents, workers, and veterans — reflect a deliberate departure from the technical and policy communities that dominate most AI governance spaces. Its messaging positions these audiences not as consumers of expert conclusions but as bearers of values that should govern AI: parental obligation to protect children from harmful content and manipulation, worker standing to demand accountability when AI displaces or surveils them, and veterans' sense that powerful technologies require human command authority rather than autonomous operation outside democratic oversight.

Its three public ground rules — AI should help people, not replace them; companies and governments should be responsible for harm; we should not build AI we cannot control — are designed for legibility to audiences with no background in AI policy. The organization grounds these principles in current, visible harms: children harmed by AI-enabled content and relationship-simulation products, workers displaced by algorithmic systems with no accountability mechanism, communities subjected to AI-enabled surveillance — and argues that these present harms point toward larger structural risks if AI development proceeds without binding safeguards.

The organization has conducted public polling in collaboration with the AI Policy Institute showing that eight in ten Americans support AI guardrails and corporate accountability, and that 80% of voters prioritize protection over speed — statistics it uses to contest the framing that AI safety is a niche or partisan concern.

2028 electoral strategy

The organization's declared primary goal is to make AI safeguards a meaningful issue in the 2028 US presidential election — specifically to increase the likelihood that the 2028 presidential winner takes meaningful executive action on AI safeguards in early 2029. Its model for applying electoral pressure draws explicitly from the climate movement's primary-state organizing playbook: building a volunteer presence in Iowa, Nevada, and other early primary states, training volunteers to attend candidate events across parties and ask pointed questions about AI consequences, and using competitive primary dynamics to push candidates to take substantive positions before the general electorate consolidates behind nominees.

This strategy is cross-partisan by design. The organization recruits across party lines, frames AI accountability in terms of values broadly shared by parents, workers, and veterans regardless of political affiliation — economic security, child safety, national security, democratic accountability over powerful technologies — and explicitly avoids alignment with either partisan coalition.

Campaigns and tactics

Humans in Control has launched several public-facing campaigns:

AI Ground Rules Pledge — the organization's primary petition vehicle, asking Americans to add their name to a demand for commonsense AI safety standards comparable to those applied to cars, medicine, and food.

Kill Switch Campaign — advocacy for legislation requiring AI control mechanisms ("guaranteed off switches") on advanced AI systems, translating the technical concept of human oversight into a concrete policy demand accessible to a non-technical public audience.

Data Center Opposition — organizing against the infrastructure expansion of AI compute, aligning the organization with local resistance movements like those in Monterey Park and other communities resisting AI data center siting.

AI Reality Check — a community presentation model launched with a November 14, 2026 day of action, designed to connect current AI harms — to children, jobs, and communities — with longer-horizon catastrophic risk concerns, giving volunteer organizers a structured format for local engagement.

The organization collects and amplifies personal testimonies from affected community members — parents, workers, and others with direct experience of AI harms — using them as the primary evidence base for its public communications, rather than technical reports or expert citations.

Long-term vision

Beyond the 2028 election cycle, Humans in Control's stated north star is achieving a verifiable international agreement under which no company or country can develop superintelligent AI unless there is strong scientific evidence that it can be controlled. This goal situates the organization in the AI-existential-risk camp, rather than the AI-harms-accountability camp that dominates most civil-society AI advocacy — a distinctive positioning that links it to AI safety researchers while building its public base through the more politically accessible language of current harms, child safety, and worker accountability.

Position in the movement

Humans in Control represents a new organizational form in this corpus: an electoral-mobilization organization explicitly built around making AI accountability a voting issue, modeled on the climate movement's success in creating a grassroots political constituency where one did not previously exist. Its hiring of Jon Warnow as executive director — drawing directly from the 350.org and People's Climate March leadership — signals an explicit institutional bet that the organizational infrastructure built for climate mobilization is transferable to AI accountability advocacy. The cross-partisan frame, the snowflake organizing model, the focus on non-AI audiences (parents, workers, veterans), and the 2028 timeline make it a significant new entry in the electoral-mobilization gap this corpus has tracked as underserved.