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Quote “AI has enormous potential to make us smarter, faster, and more innovative, but we have to work together to maximize its benefits and mitigate its risks” –Gina Raimondo, U.S. Secretary of CommerceQuote "[Generative AI] technology is not ready for ‘fire and forget.’ This technology requires humans in the loop at its current state. It must have a human – and even better if it’s a subject matter expert” –Captain Manuel Xavier Lugo, Chief Digital and Artificial Intelligence Office, US NavyStat 34% of states have built AI proof of concepts and piloted some models, only 10% have moved AI initiatives into productionStat While 91% of Federal IT leaders say their agency is currently utilizing or testing AI, 72% say their workforce lacks the necessary skillsets to use it effectivelyStat While 64% of Federal IT leaders say their agency has conducted a skills inventory to help assess its workforce’s AI knowledge, less than half (49%) have a formal strategy for upskilling Quote “I would argue that AI is probably the most powerful technology ever developed by humans" - Mark Milley, Retired General, United States ArmyQuote "Acknowledge that there is a lot of excitement around AI, but there is also a lot of anxiety” – Ryan Higgins, Acting Chief Information Officer and Chief Artificial Intelligence Officer, Department of CommerceStat The National Science Foundation (NSF), in partnership with the Department of Energy (DoE), recently awarded 35 projects first-round access to the National Artificial Intelligence Research Resource (NAIRR) pilot – a shared national infrastructure to support the AI research community. The projects range from "permafrost monitoring or medical imaging [to] agriculture pest detection" Quote “Artificial intelligence can help crack the code on our toughest challenges from combating the climate crisis to uncovering cures for cancer” – Jennifer Granholm, Secretary of EnergyStat 35% of Federal cyber leaders say their agency is using AI for cybersecurity today; another 58% are actively working toward adoption Trend In the month after EO 14110 was issued, Federal tech talent programs hiring as part of the AI Talent Surge saw an average 288% increase in AI applicationsStat Less than 1 in 3 Federal cyber leaders fully trust AI to automate cybersecurity decisionsStat 81% of Federal cyber leaders say accelerating AI adoption is critical to their agency’s resilience against evolving threats Trend As technology evolves, 86% of Federal cyber leaders feel human-AI collaboration will become the cornerstone of effective cyber strategies Trend From January through March 2024, applications for Federal AI and AI-enabling roles have doubled compared to similar periods in 2022 and 2023Stat Over half of Federal employees reported that they did not have access to, or were not aware of, generative AI tools for use at their agenciesStat 55% of Federal agencies implementing or utilizing AI for cybersecurity have successfully detected a vulnerability, 53% have gained information on the threat landscape, and 51% have proactively responded to a threatQuote "I think AI can really contribute into network configuration and edge computing ... Edge computing is going to be critical and using AI to be able to configure networks at the edge is going to be critical, as well as monitoring the network” – Defense Intelligence Agency (DIA) Stat In terms of notable machine learning models, the United States vastly outpaced other countries in 2023, developing a total of 61 models in 2023. Since 2019, the U.S. has consistently led in originating the majority of notable models, followed by China and the UKTrend The number of AI-related legislation at the Federal level has more than doubled, from 81 proposed bills in 2022 to 181 in 2023.Quote "There are two prevailing narratives: one is that AI will replace people, and the other is that AI will not replace people. But people who are better with AI will replace people who are worse with AI" – Josh Reiter, Deputy Principal Cyber Advisor, U.S. NavyQuote “We’re seeing the gains and the benefits of AI and machine learning on the mission side and on the management side. Using image analytics that supported the International Criminal Court arrest warrant for Vladimir Putin is just a quick example, supporting climate negotiations at the climate summit in November is another example” – Matthew Graviss, Chief Data and Artificial Intelligence Officer, Office of Management Strategy and Solutions at the State Department Quote "If you think about the future of AI ... the scale of investment that the private sector is making there is dwarfing anything that higher education or the Federal government is making at the moment. It is time to act, with vision and commitment, by expanding our domestic STEM worker pool, investing in critical science and technology areas, and building the necessary R&D infrastructure to ensure our continued national security and economic independence" – Daniel Reed, Chair of the National Science Board (NSB), which serves as the governing board of the National Science Foundation (NSF) Stat President Biden's proposed FY25 budget allocates $65 million to the Commerce Department for responsible AI innovation, including standing up NIST's AI Safety Institute. The budget also requests $32 million for the USDS, GSA, and OPM to support the National AI Talent Surge as well as additional funding for Federal agencies to establish agency Chief AI OfficersQuote “We are on the cusp, I believe, of massive, massive changes to the way the government works ... Do we create separate silos for AI, which is the easy thing to do? Or do we try to blend it into already existing processes and take advantage of the oversight … and the capabilities that we already have?” – Kevin Walsh, Director of Information Technology and Cybersecurity, Government Accountability Office (GAO) Quote “I don’t look at [AI] as something that we have the option of stopping ... Everyone is going to have access to these tools whether we bring them in house or not, so if you don’t train the people, they’ll misuse it. I think we have to run as fast as we can to get this done" – Dorothy Aronson, Chief Data Officer and Chief AI Official, National Science Foundation (NSF)Stat According to the White House, Federal agencies aced their 90-day AI EO deadlines, completing nearly 30 of the order's almost 150 action itemsQuote “There’s certainly an opportunity to use AI in places to help with the customer experience to make it easier for folks to get answers to their questions" – Jonathan Finch, Acting Director for Digital Experience, Office of Management and Budget’s (OMB) Federal CIO officeQuote "At the end of the day, [AI] is to assist our staff in making their decisions faster – not to supplant their decision making. We are not at the point of really taking humans out of the loop; we just want to make sure that we can get to all our veterans in a timely manner” – Dr. Rafael Fricks, Associate Director for AI in Medical Imaging, VA MAVERIC Informatics Group and the National Artificial Intelligence InstituteQuote “We have moved many call centers to platforms that support AI-based text-to-speech ... In just the first three months, 15% of those calling in to ask questions about the state’s property tax relief program are resolving their issues successfully through self-serve tools ... The small initial decrease in call volume translates into a 50% increase in the resolution of calls by human operators" – Beth Simone Noveck, Chief AI Strategist/Chief Innovation Officer for the state of New JerseyQuote The AI executive order is serving as a “tremendous accelerator to making sure that every single agency across the Federal government is taking AI seriously and investing in a workforce that is ready to tackle these issues” – Lauren Boas Hayes, Senior Advisor for Technology and Innovation, CISAStat According to the Government Accountability Office, Federal agencies reported about 1,200 current and planned AI use cases. NASA and the Department of Commerce (DoC) reported use cases at double and triple the rate of the other 18 civilian CFO Act agencies who claimed to be using the emerging technologyStat 87% of Federal IT decision makers believe modern identity at scale has moved beyond human capacityQuote “As artificial intelligence technology becomes more prevalent, it presents opportunities to protect consumers but it can also pose privacy and safety challenges" – The Federal Communications Commission (FCC)Trend Generative AI will see 36% CAGR growth from 2023 to 2030Trend Forrester predicts by 2024, 60% of employees will use their own AI tools at work Trend IDC predicts that Generative AI spending will reach $143.1B and account for 28.1% of total AI implementation spending by 2027Quote "AI holds extraordinary potential for both promise and peril ... Harnessing AI for good and realizing its myriad benefits requires mitigating its substantial risks. This endeavor demands a society-wide effort that includes government, the private sector, academia, and civil society" – Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial IntelligenceStat 84% of U.S. executives plan to prioritize generative AI cybersecurity solutions over conventional cybersecurity solutionsStat Most U.S. executives expect generative AI capabilities will influence their selection of ecosystem partners in cloud (59%) over the next two yearsStat 70% of global security leaders say AI benefits attackers more than defenders. The most anticipated use cases are faster and more efficient attacks (36%), voice and image impersonations for social engineering (36%), and an expanded supply chain attack surface (31%)Trend By 2027, AI servers could use between 85 to 134 terawatt hours (Twh) annually. That’s similar to what Argentina, the Netherlands, and Sweden each use in a year, and is about 0.5% of the world's current electricity useStat 87% of Federal IT decision-makers say the Federal government is underutilizing computer vision (CV) technologyStat Feds who have piloted computer vision (CV) applications are prioritizing object classification (73%), object detection (62%), and image synthesis (57%)Stat Half of Federal IT leaders (49%) say their agency has begun piloting AI for IT optimization – with 86% of those agencies saying at least one of their pilots is focused on data center optimizationQuote “To successfully and effectively purchase and use AI tools, Federal agencies have to be prepared to address issues like privacy concerns about the use of Federal data to train commercial models and preventing bias in government decision-making” – Sen. Gary Peters, D-Mich., chairman of the Senate Homeland Security and Governmental Affairs CommitteeQuote “Appropriate oversight will be critical to ensuring AI technologies remain effective, and keep our data safeguarded” – Government Accountability Office (GAO)Quote “Cybersecurity professionals have a long history of using tools and techniques supported by AI to prevent, and respond to, malicious cyber activity. Protecting our nation’s cyber infrastructure requires leveraging all tools at our disposal, including applying AI techniques to improve cybersecurity defenses in organizations of all sizes and technical capacity” – Sens. John Hickenlooper, D-Colo., and Thom Tillis, R-N.C.Quote "There is real bipartisan interest in developing a comprehensive AI framework to give Congress the opportunity to bolster and accelerate AI innovation in a safe and responsible way” – Senate Majority Leader Chuck Schumer, D-N.Y.Trend From 2021 to 2022, total AI spending within the Federal government increased from $2.7 billion to $3.3 billion
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