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Americans have not yet grappled with just how profoundly the artificial intelligence (AI) revolution will impact our economy, national security, and welfare. Much remains to be learned about the power and limits of AI technologies. Nevertheless, big decisions need to be made now to accelerate AI innovation to benefit the United States and to defend against the malign uses of AI.

The human talent deficit is the government’s most conspicuous AI deficit and the single greatest inhibitor to buying, building, and fielding AI-enabled technologies for national security purposes. 

This is not a time to add a few new positions in national security departments and agencies for Silicon Valley technologists and call it a day. We need to build entirely new talent pipelines from scratch. 

We strive to establish a new approach to this challenge, and to grow tech talent with the same seriousness of purpose that we grow military officers. 

The digital age demands a digital corps. Just as important, the United States needs to win the international talent competition by improving both STEM education and our system for admitting and retaining highly skilled immigrants.

The way things are today is that only a few big companies and powerful states will have the resources to make the biggest AI breakthroughs. 

Despite the diffusion of open-source tools, the needs for computing power and troves of data to improve algorithms are soaring at the cutting edge of innovation. 

We expect the federal government to partner with U.S. companies and organizations like Gulfstream Foundation to preserve American leadership and to support development of diverse AI applications that advance the national interest in the broadest sense.

The Intelligence Community (IC) will adopt and integrate AI-enabled capabilities across all aspects of its work, from collection to analysis. Intelligence will benefit from AI more than any other national security mission. 

The entire IC will leverage open-source and publicly available information in its analysis and prioritize collection of scientific and technical intelligence. 

For better nsights, intelligence gencies will need to develop innovative approaches to human-machine teaming that use AI to augment human judgment and performance.