CIA Adds Fourth Pillar to AI Strategy, CAIO Says
Lakshmi Raman says the new pillar marks a strategic shift toward embedding AI more deeply into the CIA’s day-to-day mission execution.

The Central Intelligence Agency has introduced a fourth pillar to its artificial intelligence strategy, aimed at directly supporting the agency’s core missions: objective analysis, intelligence collection, covert action at the president’s behest and counterintelligence, CIA AI Director and Chief AI Officer Lakshmi Raman said Tuesday at GovCIO Media & Research’s AI Building Blocks Workshop in Washington, D.C. on Tuesday.
Expanding CIA’s AI Strategy
The new pillar builds upon the CIA’s existing three-part strategy, which focuses on understanding adversaries’ AI capabilities, improving internal operations through AI and ensuring responsible AI stewardship through rigorous standards, testing and fiscal oversight. Raman said the fourth pillar marks a strategic shift toward embedding AI more deeply into the CIA’s day-to-day mission execution.
“How are we enabling access to AI? How are we democratizing access so that our data scientists or developers are able to access it very easily?” said Raman. “We’re thinking now beyond the step of democratization to commoditization. How are we commoditizing AI, so it’s available all the time so that our officers can integrate it into workflows that they use every day?”
Raman said that the CIA has been involved with AI and data science since the teens, when its first data scientist began working with the technology. CIA’s AI work has evolved with the rapid advancements outside of government, creating opportunities for the agency’s mission and strategy, she added.
“We’ve definitely seen the advancement and the excitement and the evolution of AI,” said Raman. “We’ve been really excited about the opportunities that it brings to [the intelligence community’s] mission and our strategy.”
Building the Future AI Workforce
Securing top AI talent for the agency is both a challenge and an opportunity, Raman said. While there is a robust demand to hire AI engineers, data scientists and machine learning professionals, Raman said that the agency is committed to upskilling its workforce at all levels, from general staff to senior officials.
“We are putting a lot of effort towards educating and training and upskilling our workforce … to understand how to partner and do human-machine teaming,” said Raman. “[CIA staffers] really need to have the latest and greatest understanding of the technology all the way up to our senior leaders.”
Bolstering Industry and Government Collaboration
Raman stressed the importance of robust partnerships with private industry, where AI innovation is most robust.
“We need to be able to have those private industry partnerships … and then be ready to bring them into the agency, bring them into the IC as quickly as possible,” said Raman.
The CIA’s proactive stance on AI positions it as a leader across the broader government landscape, Raman said. She said the agency’s leading position is from an enduring commitment to addressing emerging challenges and collaborating with other officials, including regular discussions with intelligence community CAIOs.
“The fact that we are leaders in the IC – and I would say in the government writ large – with respect to our approach to AI, in some ways, is not much of a surprise to me at all,” Raman said. “I’m incredibly proud of the organization.”
The Evolving Role of CAIO
The CAIO role is as strategic and collaborative as it is technical, Raman said. Citing technology industry leaders like Google’s Eric Schmidt and Microsoft Satya Nadella, who view AI as a key driver of national power and a “defining technology,” Raman highlighted the CAIO role’s importance in aligning strategic priorities with this transformative technology. Without such leadership, she said, AI adoption could be fragmented, less compliant and lead to duplication of effort and inefficiency in government and industry.
“AI is moving so quickly,” Raman said. “We need to be ready within the government and the intelligence community to quickly take the new technologies that are coming as quickly as possible and determine how they apply properly to our mission.”
This is a carousel with manually rotating slides. Use Next and Previous buttons to navigate or jump to a slide with the slide dots
-
AI Foundations Driving Government Efficiency
Federal agencies are modernizing systems, managing risk and building trust to scale responsible AI and drive government efficiency.
40m watch -
Navy Memo Maps Tech Priorities for the Future Fight
Acting CTO’s memo outlines critical investment areas, from AI and quantum to cyber and space, as part of an accelerated modernization push.
5m read -
DOD Can No Longer Assume Superiority in Digital Warfare, Officials Warn
The DOD must make concerted efforts to address cyber vulnerabilities to maintain the tactical edge, military leaders said at HammerCon 2025.
4m read -
New NSF Program Cultivates the Future of NextG Networks
The agency’s new VINES program looks to tackle key challenges like energy efficiency and future-proofing wireless tech.
21m watch -
DHA CDAO Spearheads Master Data Catalog to Boost Transparency
Jesus Caban plans to boost DHA's data maturity through a new master data catalog, governance frameworks and inventory of tech tools.
5m read -
Trump Orders Spark Government-Wide Acquisition Overhaul
As Trump pushes for a faster, simpler procurement system, agencies are leveraging AI and adapting strategies to meet new requirements.
5m read -
Inside Oak Ridge National Lab’s Pioneer Approach to AI
Energy Department’s Oak Ridge National Lab transforms AI vulnerabilities into strategic opportunities for national defense.
22m listen -
A Look at Federal Zero Trust Transformation
Recent developments from CISA and DOD show how government is advancing zero trust quickly.
20m read -
Modernization Strategies to Enable Energy Innovation
Lawrence Berkeley National Lab and Maximus experts explore the modernization strategies driving digital transformation and operational resilience within the energy sector.
33m watch -
DOI Must Modernize Energy to Win AI Race, Secretary Says
Doug Burgum links AI innovation to energy reform as DOI advances digital infrastructure and wildfire response under Trump’s tech agenda.
2m read -
NIST to Release New AI Cybersecurity Guidance as Federal Use Expands
NIST plans to release AI cybersecurity guidance within the year to support safe adoption as federal agencies expand use cases.
4m read -
Federal Zero Trust Forum
The Federal Zero Trust Forum brings together key technology leaders from across government to explore practical strategies and share lessons for advancing zero trust architecture.
Ritz Pentagon City | 1250 S Hayes St, Arlington, VA 22202