Commentary

Washington knows AI talent is a national security priority, but current efforts are temporary or unfunded. Congress needs to codify permanent measures before the gap costs the US its military AI edge.

• Jacqueline Viteznik
• September 8, 2026

The US is losing the real AI race because it’s playing defense against Chinese open-source models instead of out-competing them with open models of its own.

• Lou Crenshaw
• August 21, 2026

The human-in-the-loop safeguard isn’t failing because of bad operators; it’s failing because acquisition contracts never required AI systems to explain themselves.

• Burak Oktenli
• July 30, 2026

The architecture of military law assumes a human made every consequential decision. Agentic AI breaks that assumption.

• Burak Oktenli
• June 12, 2026

Whoever anchors the Gulf’s AI infrastructure will shape the global balance of power — and America must ensure it’s not China.

• Sergio de la Peña
• May 28, 2026

The Pentagon is racing to build faster AI systems while neglecting the data quality problem that determines whether those systems actually work.

• Chris Finch
• May 21, 2026

Beijing is embedding AI into warfare, while Washington still struggles to integrate it at scale.

• Rob Joyce
• May 5, 2026

The Pentagon is rapidly deploying AI agents, but its security approach hasn’t caught up, creating a real operational risk.

• Elad Schulman
• April 21, 2026

Why most military AI programs stall between prototype and operational deployment.

• Jags Kandasamy
• March 11, 2026

The demand for AI without usage limits exposes a fundamental constitutional and ethical question: should the US military be allowed to deploy AI for mass surveillance and autonomous weapons without meaningful safeguards?

• Riki Parikh
• March 3, 2026