Just over a month before the 250th Independence Day, President Donald Trump issued an Executive Order setting out the federal government’s stance on AI innovation and cybersecurity.
The Order directed several agencies toward benchmark and specification development, signalling a clear preference for industry freedom over regulatory constraint.
Days later, a bipartisan group of Representatives from the Energy and Commerce Committee released a working draft of the Great American Artificial Intelligence Act of 2026.
The Bill proposes a structured federal framework for AI governance, establishing direct oversight of frontier AI models and creating a new federal institution called the Center for AI Standards and Innovation, known as CAISI.
Both the Order and the Bill aim to promote AI innovation while addressing security risks, but they deviate sharply on regulatory style and the role of government interference.
The Order staunchly states that the government will not require preclearance or permits for AI model development or distribution, affirming that innovation should face minimal hurdles.
By contrast, the Bill would require frontier developers with over $500 million in revenue to publish risk assessment procedures and report critical safety incidents to CAISI within 15 days or 24 hours, depending on severity.
Significant fines for noncompliance are also proposed under the Bill, along with independent verification organisations to audit frontier developers and anti-retaliation protections for whistleblowers.
The Order directs the Secretary of the Treasury to form an AI cybersecurity clearinghouse in voluntary collaboration with the AI industry to identify and address software vulnerabilities.
Within 60 days of the Order, a multi-agency team led by the Secretary of the Treasury must develop a process for designating frontier AI models and creating a framework for developers to engage directly with the government.
The Attorney General is separately directed to prioritise enforcement of federal criminal laws covering identity theft, computer fraud, and wire fraud against anyone who uses AI to illegally access or damage computer systems.
The Bill’s Titles III and IV address cybersecurity collaboration and research, including extending company-to-company cybersecurity information sharing outside of antitrust concerns and providing grants for open-source software security.
Title IV would formally establish the National Artificial Intelligence Research Resource and require the Government Accountability Office to review the use of liquid cooling for AI data centers.
The Bill also instructs the National Science Foundation Director to support AI-focused education initiatives, create AI scholarships and fellowships, and expand teacher training programmes.
Under the Bill, the Secretary of Labor would collect workforce data on AI adoption, establish an AI Workforce Research Hub, and report to Congress within two years on how this data will inform grant evaluations.
Together, the Order and the Bill confirm that AI capabilities have advanced to the point where both government and industry must respond with meaningful security safeguards and governance structures.
Healthcare systems and corporate organisations developing or deploying AI tools are advised to form internal AI governance procedures, consider voluntary audits, and identify applicable grants and reporting obligations.
Organisations affected by AI regulation, including hospitals, data centers, and technology companies, should consider submitting comments on the working draft to ensure their operational realities are reflected in the final legislation.