Who Really Runs AI? The $125 Million Battle Between Alex Bores and Silicon Valley!
Is Big Tech buying the AI debate? New York's Alex Bores just exposed a billion dollar secret: Silicon Valley super PACs are spending $125 million to stop AI regulation. From 'Killer Robots' to 'Job Losses,' find out who is winning the war for control over the world's most powerful technology in 2026.
AI NEWS
3/1/20262 min read
The Billion-Dollar War: Inside the Battle for AI Control
Artificial intelligence has rapidly expanded beyond conversational interfaces and synthetic media into core governmental policy debates. At the center of this legislative conflict is New York State Assemblymember and computer scientist Alex Bores, who has emerged as a key figure advocating for state-level regulation of advanced frontier AI models.
With the passage of the Responsible AI Safety and Education (RAISE) Act, the technology industry faces a defining legal precedent over model oversight, transparency, and public risk management.
Here is how the legislative battle over frontier AI safety is unfolding and what it means for the future of tech governance.
The RAISE Act: Regulating Frontier AI Models
Sponsored by Assemblymember Alex Bores and State Senator Andrew Gounardes, the RAISE Act establishes mandatory oversight frameworks for the world's largest AI developers, including OpenAI, Google, and Meta.
The law targets high-capacity "frontier models"—defined as systems trained using extensive computational infrastructure exceeding $100 million in compute expenses or $500 million in organizational revenue.
Core Regulatory Requirements:
Mandatory Safety Protocols: Large developers must write, implement, and publicly disclose detailed frontier AI safety frameworks prior to model deployment.
Catastrophic Risk Assessments: Companies are required to evaluate and mitigate critical risks, including automated cyber threats and bioweapon proliferation assistance.
Critical Incident Reporting: Developers must report severe safety breaches, loss of model control, or unapproved autonomous behaviors to state regulators within strict timeframes.
The Silicon Valley Counter-Lobbying Campaign
While proponents frame the legislation as essential consumer protection, technology lobbying coalitions have mounted aggressive opposition campaigns.
Opponents argue that state-by-state regulatory mandates create compliance friction, potentially slowing technological innovation and placing American AI developers at a disadvantage against international competitors. Massive capital investments have flowed into advocacy efforts aimed at curtailing state-level tech legislation.
In public forums and policy discussions, Bores has argued that establishing basic safety protocols does not hinder growth, drawing parallels to standard safety regulations in aerospace and automotive engineering.
Why State-Level AI Regulation Matters to You
The outcome of legislation like the RAISE Act sets a national benchmark for how powerful algorithmic tools interact with everyday life.
Broad Policy Impacts:
Data Privacy and Surveillance: Sets strict boundaries on automated data harvesting and unauthorized model deployment.
Workforce Stability: Evaluates economic displacement and establishes guidelines for AI integration across industries.
Public Infrastructure Safety: Imposes legal accountability on developers if unvetted systems contribute to infrastructure disruptions or cyber threats.
Conclusion: Defining the Future of AI Accountability
As frontier artificial intelligence models grow in capability, the debate between rapid market deployment and proactive regulatory guardrails continues to intensify. The RAISE Act represents a historic shift toward legal accountability, signaling that the future of technology will be shaped by public policy as much as private innovation.
Frequently Asked Questions (FAQs)
1. What is the RAISE Act in New York?
The Responsible AI Safety and Education (RAISE) Act is state legislation that mandates transparency, public safety plans, and incident reporting for companies developing massive, high-risk "frontier" AI models.
2. Who is subject to the RAISE Act regulations?
The law applies strictly to large AI developers—companies with annual revenues exceeding $500 million or those spending over $100 million in computational costs to train advanced foundation models.
3. Why are Big Tech companies opposing state AI bills?
Opponents contend that a patchwork of individual state laws creates complex compliance burdens, slows down software deployment schedules, and risks putting domestic developers behind global competitors.
4. What are "frontier models" in AI policy?
Frontier models are foundational artificial intelligence systems trained using extreme computational power (typically defined as operations exceeding $10^{26}$ FLOPs) capable of executing highly complex, multi-modal tasks.