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The CIA is building its own version of ChatGPT

The CIA's storage systems are full of decades worth of intelligence data that an AI like ChatGPT will be able to summarise and mine for valuable intel.

Key takeaways

  • The Central Intelligence Agency confirmed it is building a ChatGPT-style Artificial Intelligence (AI) for use across the US intelligence community.
  • The Large Language Model (LLM) chatbot will reportedly provide summations of open-source materials alongside citations, as well as chat with users, according to Bloomberg.
  • In August, new Chinese government regulations went into effect requiring makers of publicly available AI services submit regular security assessments.
Cite or link to this article

Griffin, M. (2024) 'The CIA is building its own version of ChatGPT', 311 Institute, 26 March. Available at: https://www.311institute.com/the-cia-is-building-its-own-version-of-chatgpt/ (Accessed: 25 October 2026).

The Central Intelligence Agency confirmed it is building a ChatGPT-style Artificial Intelligence (AI) for use across the US intelligence community. Speaking with Bloomberg on Tuesday, Randy Nixon, director of the CIA’s Open-Source Enterprise, described the project as a logical technological step forward for a vast 18-agency network that includes the CIA, NSA, FBI, and various military offices. The Large Language Model (LLM) chatbot will reportedly provide summations of open-source materials alongside citations, as well as chat with users, according to Bloomberg.

“Then you can take it to the next level and start chatting and asking questions of the machines to give you answers, also sourced. Our collection can just continue to grow and grow with no limitations other than how much things cost,” Nixon said.

“We’ve gone from newspapers and radio, to newspapers and television, to newspapers and cable television, to basic internet, to big data, and it just keeps going,” Nixon continued, adding, “We have to find the needles in the needle field.”

The announcement comes as China’s make their ambitions to become the global leader in AI technology by the decade’s end known. In August, new Chinese government regulations went into effect requiring makers of publicly available AI services submit regular security assessments. As Reuters noted in July, the oversight will likely restrict at least some technological advancements in favor of ongoing national security crackdowns. The laws are also far more stringent than those currently within the US, as regulators struggle to adapt to the industry’s rapid advancements and societal consequences.

Nixon has yet to discuss  the overall scope and capabilities of the proposed system, and would not confirm what AI model forms the basis of its LLM assistant. For years, however, US intelligence communities have explored how to best leverage AI’s vast data analysis capabilities alongside private partnerships. The CIA even hosted a “Spies Supercharged” panel during this year’s SXSW in the hopes of recruiting tech workers across sectors such as quantum computing, biotech, and AI. During the event, CIA deputy director David Cohen reiterated concerns regarding AI’s unpredictable effects for the intelligence community.

“To defeat that ubiquitous technology, if you have any good ideas, we’d be happy to hear about them afterwards,” Cohen said at the time.

Similar criticisms arrived barely two weeks ago via the CIA’s first-ever Chief Technology Officer, Nand Mulchandani. Speaking at the Billington Cybersecurity Summit, Mulchandani contended that while some AI-based systems are “absolutely fantastic” for tasks such as vast data trove pattern analysis, “in areas where it requires precision, we’re going to be incredibly challenged.”

Mulchandani also conceded that AI’s often seemingly “hallucinatory” offerings could still be helpful to users.

“AI can give you something so far outside of your range, that it really then opens up the vista in terms of where you’re going to go,” he said at the time. “[It’s] what I call the ‘crazy drunk friend.’”

311 Intelligence

What this means for your organisation

Old archives become useful again.

The CIA's storage systems hold decades of intelligence data. A large language model can summarise it and mine it for valuable intel. Most organisations sit on similar stores of records that nobody reads in full.

Sourced answers build trust.

The planned chatbot will give summaries with citations and answer questions that are also sourced. Pairing a language model with search and clear references is the pattern to copy. Staff can then check any claim for themselves.

Know where precision fails.

The CIA's own technology chief says these systems are fantastic for pattern analysis across vast data. He also says that where precision is required, the challenge will be serious. Use the tools to open up ideas, and keep people in charge of facts that carry risk.

Three questions for your next leadership meeting

  1. Which of our archives could a sourced chatbot search, and who checks the answers?
  2. Where do we need precision, and where is a loose idea useful?
  3. Which rules on AI services could reach us as regulators catch up?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

The CIA's storage systems are full of decades worth of intelligence data that an AI like ChatGPT will be able to summarise and mine for valuable intel.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. Cia builds its own artificial intelligence tool in rivalry with china bloomberg.com
  2. Billington Cybersecurity Summit billingtoncybersummit.com
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