🎥 Winning the AI Race

🎥 Winning the AI Race

A recent summit of top government officials, technology executives, and industry leaders outlined a comprehensive and aggressive strategy for the United States to dominate the field of artificial intelligence.

The event, "Winning the AI Race," featured speakers including President Donald J. Trump, Vice President JD Vance, Nvidia CEO Jensen Huang, and AMD CEO Lisa Su, who collectively presented a vision of AI as a catalyst for a new era of American industrial and economic power.

The core message was clear: winning the AI race is a national imperative, crucial for both economic prosperity and national security.

A National Strategy for AI Dominance

The administration has launched a multi-faceted approach to ensure American leadership in AI, anchored by the White House AI Action Plan and a series of executive orders signed by President Trump.

The plan is built on three pillars: innovation, infrastructure, and ecosystem.

Key Government Actions:

• A Pro-Innovation Stance: The strategy emphasizes deregulation and getting the government "out of the way" to allow the private sector to thrive. President Trump stressed the need for a single federal standard for AI regulation to avoid a "patchwork of 50 different state regulatory regimes" that could stifle progress.
• Infrastructure Investment: Acknowledging that AI requires massive physical infrastructure, a new executive order will fast-track federal permitting for data centers, power plants, and factories. The plan aims to make America a country "where innovators are rewarded with a green light, not strangled with red tape".
• Promoting an American Ecosystem: The administration is focused on making the American tech stack the global standard. An executive order was signed to promote the export of American AI technologies, from chips to software. This reverses the previous administration's restrictive "Biden diffusion rule," which officials argued drove allies into the arms of competitors.
• Rejecting "Woke AI": The president signed an order banning the federal government from procuring AI technology infused with "partisan bias or ideological agendas," stating that the government will only deal with AI that pursues "truth, fairness, and strict impartiality".

Economic Transformation and the Future of Work

A central theme of the summit was countering the narrative that AI will be a net destroyer of jobs. Instead, speakers portrayed AI as a powerful engine for job creation, economic revitalization, and the re-shoring of critical industries.

Manufacturing and "New Collar" Jobs

The summit highlighted a "new collar boom" driven by AI. The on-shoring of advanced manufacturing is creating immense demand for skilled trades like electricians, HVAC technicians, and engineers.

Chris Power, CEO of the AI-powered factory startup Hadrian, stated his mission is to "re-industrialize America". He noted that AI provides a critical productivity boost that allows the U.S. to compete with China and creates thousands of new jobs in the process, training workers from non-factory backgrounds in as little as 30 days.

Empowering Small Business

SBA Administrator Kelly Loeffler described AI as "rocket fuel to turbocharge small businesses". With over half of the American workforce employed by small businesses, the SBA is now actively supporting the sector's adoption of AI, having rewritten rules to allow SBA-backed loans to be used for purchasing AI technology. This levels the playing field, giving small entrepreneurs access to expertise and tools previously available only to large corporations.

The Physical Enablers of AI

The discussions repeatedly emphasized that AI is not just about software; it's a physical revolution that depends on energy, semiconductors, and critical materials.

Energy: The Great Bottleneck

The massive energy requirement for AI was a primary concern. Data centers are projected to account for 10% of U.S. power consumption by 2030. To meet this demand, the administration is pursuing an "all-out American energy dominance" strategy, which includes natural gas, nuclear power, and "clean, beautiful coal".

Energy leaders Doug Burgum and Chris Wright stressed the importance of halting the premature closure of existing base-load power plants while accelerating the construction of new ones. Companies are being encouraged to build their own dedicated power plants, including nuclear reactors, adjacent to their new AI factories.

Semiconductors: The Brains of AI

The U.S. is making significant strides in on-shoring advanced semiconductor manufacturing. Lisa Su, CEO of AMD, reported positive progress at the TSMC facility in Arizona, stating that the yields are now equivalent to those in Taiwan. While manufacturing in the U.S. comes at a premium (estimated at "less than 20%" higher) it is a price worth paying for supply chain resilience. Jensen Huang of Nvidia projected that the U.S. will produce "about half a trillion dollars worth of AI supercomputers" in the next four years alone.

Critical Materials: The Foundation

The supply chain for rare earth magnets, a "feed stock to physical AI" used in everything from drones to robots, was identified as a key vulnerability.

James Litinsky of MP Materials detailed a "transformative" public-private partnership with the Department of Defense. This deal, which includes a price floor and profit-sharing, is designed to counter Chinese mercantilism and build a secure domestic supply chain for magnets, serving as a potential blueprint for other strategic industries.

Trade, Competition, and a New World Order

The summit addressed the global "AI race" by outlining a new approach to trade and international competition, with a focus on China.

A New Trade Blueprint

The administration has moved away from traditional trade agreements in favor of deals that secure direct investment in the United States. The recently finalized deal with Japan was presented as a landmark achievement. In it, Japan committed $550 billion to finance infrastructure projects in America in exchange for a lower tariff rate and open market access for U.S. businesses. Officials described this as a new, replicable model for future trade negotiations.

Competing with China

While China is seen as the primary competitor, the strategy is nuanced. The administration aims to protect critical intellectual property while allowing American businesses to sell non-sensitive products into the Chinese market.

Jensen Huang offered a compelling perspective, arguing that the rise of powerful open-source AI models from China, such as Deep Seek, is actually a "great win for the United States" because they are being built to run on America's dominant tech stack, thereby solidifying its global leadership.

The consensus is that the U.S. leads China substantially in AI today, and the key is to press that advantage through innovation, not retreat into over-regulation.

Crepi il lupo! 🐺

Summaries of each Video (Parts 1-5)

🎥 Winning the AI Race Part 1: A Deep Dive into America's AI Strategy

This blog post summarizes a discussion featuring Michael Kratsios, Kelly Loeffler, Shyam Sankar, and Chris Power, focusing on America's strategy to lead in the artificial intelligence (AI) race. The conversation highlights the critical importance of AI for economic prosperity and national security, emphasizing innovation, infrastructure, and ecosystem development.

The Dawn of a New Age: AI's Transformative Power

The discussion opens with a powerful analogy, likening the computer to "the most remarkable tool that we've ever come up with," and "the equivalent of a bicycle for our minds". This sets the stage for understanding AI not just as a technological advancement, but as a fundamental shift that promises "immense prosperity where there is an age of abundance". Speakers underscored that the rate of AI progress is "exponential" and its impact is often understated. The goal is to solve problems that would take humans "thousands of years to solve", ultimately driving "economic vibrancy and military supremacy".

America's Imperative: Dominating the AI Race

The Trump administration views AI as having "countless revolutionary applications", with a clear objective for America to "dominate every industry and be the first in every technology," including becoming the "world's number one superpower in artificial intelligence". This is framed as a "global competition or global race," where the consequences of losing would be "unthinkable" due to AI's significant ramifications for both the economy and national security.

The Three Pillars of the AI Action Plan

An executive order was signed to create an action plan for the U.S. to dominate in AI. This plan, developed by Michael Kratsios and the Office of Science and Technology Policy (OSTP), outlines 90 concrete actions for the executive branch and rests on three major pillars:

The Plan's Development and Impact

The plan was developed through an extensive Request for Information (RFI) that garnered over 10,000 responses from diverse sectors across the country, highlighting the widespread impact of AI. The focus was on "an action plan" with deliverables achievable within "the next 6 to 9 months" to accelerate the AI race.

Addressing Critical Challenges: Talent, Data, and Manufacturing

The Talent Wars: Upskilling and Recruitment

A significant challenge discussed is the "talent wars" in AI. The administration's philosophy on recruiting global AI talent involves not just attracting top scientists and engineers to the U.S., but also "training the American workforce to be able to do the necessary jobs". Companies like Hadrien are actively addressing this by training individuals from non-factory backgrounds, demonstrating that people can be trained for advanced manufacturing jobs in as little as 30 days, even if they have no prior factory experience.

Unlocking Government Data for Innovation

The government generally adopts an "open-source approach" to making its valuable data sets available to private industry, particularly from agencies like the Department of Energy (DOE) and FDA. The challenge lies in standardizing and "homogenizing" this data to make it truly useful for AI models, an effort supported by a $150 million investment for a DOE "AI for science program".

Federal Preemption and the Threat of Patchwork Regulations

The issue of federal preemption over state-level AI regulations was raised. With "over a thousand state laws" proposed or passed, a "patchwork of 50 different state regulatory regimes" could "hobble our AI innovation". While the current action plan focuses on executive branch actions, the potential national security threat posed by disparate state regulations is acknowledged as an issue requiring future consideration.

Re-industrializing America with AI: Hadrien's Vision

Chris Power, CEO of Hadrien, emphasized the mission to "re-industrialize America" by building AI-powered factories. He highlighted a historical trend where successful nations offshore heavy industries, only to find themselves in a vulnerable position during conflicts. The U.S. has significantly "hollowed out the middle of America and offshored every bit of manufacturing," leaving it strategically exposed, especially compared to China, which has prioritized manufacturing as a national security imperative.

Hadrien's solution is to build "full stack AI powered factories" to address the critical skilled talent shortage in manufacturing. Their factories, like the scaled Factory 2 in LA, operate more like data centers, achieving a "four times jump in manufacturing productivity" and a "10x jump in workforce productivity".

This approach allows for rapid training of new workers, with 100% of their workforce coming from non-factory backgrounds, trained in as little as 30 days. Hadrien plans to expand with new AI-powered factories in Arizona and a dedicated gigafactory, creating hundreds of new jobs in scarce talent industries.

AI as a Job Creator and an Enabler

A recurring theme was AI's role in job creation rather than destruction. Speakers highlighted that AI is enabling "huge, huge workforce growth". Examples were shared of individuals like Owen, who went from packing shelves at Home Depot to running 10 machines at once and being promoted into leadership roles due to AI-powered upskilling. This re-industrialization, driven by AI, aims to "re-attach people to the Silicon Valley economy and not just having it on the coast and the cities".

The Power of AI in Critical Sectors

The discussion showcased the transformative impact of AI across various critical sectors:

• Energy and Infrastructure (Gecko Robotics): Shyam Sankar, from Gecko Robotics, highlighted how their robots and AI models are used to "unlock physical the physical world" by gathering data from critical infrastructure like power plants. This data enables AI models to predict and prevent catastrophic failures, optimize efficiency, and extend the useful life of assets by decades, ultimately creating power without new construction. Sankar emphasized that "AI shouldn't just consume, it should create energy".
• Healthcare: Nurses from Tampa General Hospital and UP Health System Marquette shared how AI tools have revolutionized patient care by significantly reducing the time spent on gathering information, allowing nurses more time at the bedside. AI helps with "earlier detection, which means earlier treatment," leading to better, potentially life-saving outcomes.
• Defense Manufacturing (PRL Industries): Matt Troutman from PRL Industries, a supplier of components for nuclear submarines, explained how AI has transformed their quoting process, reducing a three-day task to minutes. This frees up engineers to solve problems and provides the Navy with "the best quality products in the shortest amount of time". AI also enhances supply chain visibility, allowing for clear communication with customers about part status and priority.
• Battery Manufacturing (PCNA): A representative from PCNA, a company that has built over 11 billion batteries, highlighted how AI is used to predict equipment breakdowns, minimizing production losses and enhancing technician safety. AI is seen as a powerful learning tool that makes the industry accessible to individuals from diverse backgrounds, fostering a sense of belonging among workers.

Government's Role and the Future of Small Businesses

Kelly Loeffler discussed the Small Business Administration's (SBA) role in supporting AI adoption. She highlighted the reversal of a previous policy that banned SBA loans for purchasing AI technology, now allowing small businesses and entrepreneurs to use loan proceeds for AI implementation and advanced manufacturing. This initiative aims to level the playing field for small businesses by providing access to information and products that were once exclusive to large incumbents, effectively "turbocharging small businesses and entrepreneurs".

The SBA primarily offers government-backed loans through a network of banks and also operates small business innovation programs. The data indicates that putting more technology into the hands of small businesses is driving economic growth and job creation.

The discussion also touched upon the importance of partnering with state and local governments, as they best understand their unique needs. The ultimate goal is to "recreate that in America across all of these great states where people are looking for economic expansion".

🎥 Winning the AI Race Part 2: Vice President JD Vance

This part features Vice President JD Vance at an all-in summit, where he discusses various aspects of America's strategy, particularly concerning AI, immigration, and foreign policy.

A Look Back and Forward: JD Vance's Perspective

The discussion opens by acknowledging Vice President JD Vance's prior appearance at an all-in summit, highlighting the significant changes since his last attendance about ten months ago. The host commends his work and expresses anticipation for the conversation.

Immigration: Policy Shifts and Economic Impact

Vance addresses immigration policy, recalling a previous conversation about the deportation of 20 million people. He explains that while some on the right desire a faster pace of deportations, legal challenges and resource limitations have been factors. He notes that recent legislative changes have provided the necessary resources for ICE, and court case wins are expected to increase the pace of deportations.

Vance clarifies that statistics comparing deportation rates with previous administrations can be misleading, as they often don't account for "net negative immigration". He anticipates that 2025 will see the first net negative immigration number in 50 or 60 years. He challenges the notion that strict border enforcement would lead to economic collapse, pointing to cooling inflation and stabilizing housing costs. He asserts that the Trump administration is demonstrating that a strong economy can be built by trusting American workers, rather than relying on illegal labor.

Regarding concerns about compassion and style of enforcement, Vance emphasizes that the Trump administration involves diverse opinions, but ultimately the President makes decisions he believes are best for the country. He reiterates that there will be no amnesty for those who have entered the country illegally. For industries requiring labor, he suggests automation as a preferred solution, believing the American agricultural economy is "a little behind the eight ball" in using technology. Vance argues that enforcing border laws is the "most compassionate thing to do," protecting both American citizens and those who immigrate legally, by curbing drug trafficking and human exploitation.

American Priorities Abroad: AI and Global Leadership

Vance discusses his impactful speeches in France and Germany in February, particularly focusing on AI and American priorities. He states that America is "done with the over regulating" and "constant worrying about the future," and instead will "lean into the future" to dominate in AI. This approach contrasts sharply with the "safety-ism" of the previous administration and many European allies.

He acknowledges the problems with AI but warns against being so "terrified" that one fails to embrace its potential benefits. The administration aims to address consumer protection and data privacy issues without hindering innovation, ensuring America remains at the forefront of the AI boom. Vance believes this will create jobs, increase productivity, and even lead to a "new food revolution". He argues that economic growth through technology benefits all Americans, unlike growth dependent on importing cheap labor.

China, Trade, and a Multipolar World

The conversation shifts to the relationship with China, particularly regarding trade and China's sale of US Treasury holdings. Vance believes that US policy must be informed by both China's technological advancements and a focus on American growth. He acknowledges China as the US's biggest economic competitor in technology, especially in AI, but asserts that the US still leads in hardware, software, and overall technological advancement. He emphasizes that self-imposed regulations should not allow China to catch up, and that America desires to build a global technology stack based on American innovation.

Regarding trade, Vance explains the balance the President seeks: protecting critical American technologies from IP theft while allowing American businesses to sell products into China. He believes the current administration has a much better approach to striking this balance than previous ones.

Vance then considers the strategic organization of the world as AI scales, particularly for smaller countries. He recounts a recent discussion with a foreign leader who proposed a NATO alternative for countries aligned with the US, built on a shared technology stack. This leader's perspective highlighted the desire of some nations to be part of "team America" but lacking the existing infrastructure to do so. Vance contrasts China's approach of offering money, which can lead to "debt servitude," with America's need for "much more forward leadership".

On the question of a multipolar world versus American primacy, Vance suggests that a multipolar world where regional allies take on more responsibility is a "good thing". He credits President Trump with encouraging NATO to step up its security commitments.

Automation, Job Displacement, and the Workforce of the Future

Vance expresses optimism about automation, arguing that flatlining labor productivity suggests the US is "underexed in technology and not overindexed in technology". He uses the example of bank tellers and ATMs to illustrate that technology often shifts job roles rather than eliminating them, leading to higher productivity and wages.

However, he raises concerns about the declining employment rate for STEM graduates in the US, juxtaposed with technology firms claiming a desperate need for workers and applying for overseas visas. He questions companies that lay off American workers and then seek foreign visas, deeming it illogical. While wanting the "best and brightest to make America their home," the President does not support companies firing American workers and then claiming a labor shortage.

Vance also criticizes the current college education system, arguing it's "broken" because it promotes "social conventional thinking" instead of free debate and diverse ideas. He believes the focus on a four-year degree has led to student debt without adequate income potential.

Public-Private Partnerships and Re-industrializing America

Vance advocates for a return to "true public private partnerships," reminiscent of the post-WWII era of American economic dominance. He believes the government should facilitate the free market and private industries while pursuing discrete public policy goals, such as in basic research or critical weapons systems. He cites the moon landing as a prime example of a successful public-private partnership that yielded significant technological and economic benefits. He states the US will no longer allow its industrial and technology base to atrophy.

Government's Role and Support for Small Businesses

Kelly Loeffler discusses the Small Business Administration's (SBA) role in fostering AI adoption. She highlights the reversal of a previous policy that prohibited SBA loans for purchasing AI technology, now allowing small businesses to use these loans for AI implementation and advanced manufacturing.

This initiative aims to democratize access to AI for small businesses, previously exclusive to larger corporations, thereby "turbocharging small businesses and entrepreneurs" and driving economic growth and job creation.

🎥 Winning the AI Race Part 3: Jensen Huang, Lisa Su, James Litinsky, Chase Lochmiller Show information for the linked content

This part summarizes a discussion featuring Jensen Huang, Lisa Su, James Litinsky, and Chase Lochmiller, delving into critical aspects of the AI race, focusing on rare earth materials, semiconductor manufacturing, and the future of AI.

The Foundation of Physical AI: Rare Earths and Magnets

James Litinsky, founder and CEO of MP Materials, highlights the crucial role of rare earth magnets as the "feedstock to physical AI". These magnets are essential for electrified motion in robots, drones, and other emerging technologies.

Litinsky recounts his journey to revive the Mountain Pass mine in California, which holds "the best rare earth ore body in the world"3. His company, MP Materials, is currently the "100% of the American industry" for rare earth materials and magnets. He emphasizes that simply mining rare earths isn't enough; they must also be refined, a "multi-billion dollar refinery" process, and then transformed into metal and magnets. Without the ability to both mine and manufacture, the U.S. would remain reliant on China.

MP Materials has invested approximately a billion dollars over eight years to build out its refining capability and a magnetics factory in Texas. They are now producing auto-grade magnets for GM and will be ramping up sales by the end of the year.

A Game-Changing Public-Private Partnership

Litinsky announced a "transformative public private partnership" with the Department of Defense (DoD). This deal has three pillars:

Litinsky describes this as a "true win-win" where the government is investing, participating in the upside, and securing a critical supply chain for national security and the physical AI revolution.

He believes this model could be a blueprint for other critical industries, such as shipbuilding, advanced pharmaceutical ingredients, and industrial diamonds for quantum computing, where a market might not be large enough for multiple players.

Onshoring Semiconductor Manufacturing: Challenges and Progress

Lisa Su, CEO of AMD, shares insights into the efforts to onshore semiconductor manufacturing. She highlights the progress made at the TSMC facility in Arizona, which has achieved its first silicon output for 4nm chips. While acknowledging initial challenges in training and qualifying employees, she notes that progress has been impressive, with yields now equivalent to those in Taiwan.

Su concedes that manufacturing in Arizona will be "a little bit more" expensive, estimating it to be less than 20% more than overseas production. However, she emphasizes the importance of geographic diversity in the supply chain to ensure "assurance of supply" for critical AI chips, particularly given the global demand. She estimates that the accelerator market for AI chips alone will exceed $500 billion in a couple of years.

She believes that the entire ecosystem, beyond just silicon, needs to scale up in the U.S. to meet the "incredibly large demand" for AI.

The Future of AI: Diverse Chips, Local Processing, and Human Creativity

Su foresees a "diversity of chips" in the evolving AI market, driven by a multitude of use cases across science, manufacturing, design, and even personal AI in phones and PCs. She predicts that AI will be run locally on devices, enabling personal data privacy. She also anticipates that the market for physical AI chips will eventually become the biggest end market, though it will take "at least five years" to surpass chips for data centers.

Regarding the role of AI in chip design, Su believes AI will "help us design the next generation GPU much faster and more reliably," but human creativity will remain "absolutely at the center" of the overall design process.

Talent and Education for the AI Era

A recurring theme is the need for a skilled workforce. Litinsky highlights the challenge of finding talent for manufacturing, noting that MP Materials will need "a couple thousand more people easily" in addition to their current 850 employees. He stresses the importance of training and offering career paths, noting that their median wage is approaching $100,000 per year, and electricians can earn six figures.

Su emphasizes the importance of a STEM (science, technology, engineering, and mathematics) background for the future workforce and the need to inspire young people to study science. She believes America needs to be the "best place for AI talent".

A Transformational Technology

Both Litinsky and Su agree on the transformative nature of AI. Litinsky sees physical AI as the future of warfare, noting its importance in drone and robotics companies.

Su believes AI is the "most transformational technology" in our lifetimes, capable of improving science, medicine, manufacturing, and every aspect of business. She envisions a world in 10 years where AI is leveraged to solve "some of the world's most important problems".

🎥 Winning the AI Race Part 4: Scott Bessent, Howard Lutnick, Chris Wright, and Doug Burgum

This past summarizes a discussion featuring Scott Bessent, Howard Lutnick, Chris Wright, and Doug Burgum, exploring the implications of AI on national security, finance, energy, and government.

AI and National Security: A New Era of Warfare

Scott Bessent, CEO and CIO of Key Square Group, emphasizes that AI fundamentally changes national security, likening its impact to the advent of gunpowder or the atomic bomb. He argues that AI's ability to process vast amounts of data and identify patterns gives a significant advantage in intelligence gathering and strategic decision-making.

He highlights China's rapid progress in AI and its potential to leverage this technology for military advantage, particularly in areas like cyber warfare and drone technology. Bessent stresses the urgency for the US to prioritize AI development and ensure its military superiority in this new era.

AI in Finance: Reshaping Markets and Opportunities

Howard Lutnick, CEO of Cantor Fitzgerald and BGC Group, discusses the profound impact of AI on the financial sector. He sees AI as a "productivity tool" that will significantly enhance efficiency and create new opportunities. Lutnick shares how his companies are investing heavily in AI to automate processes, improve risk management, and generate insights from massive datasets.

He believes that AI will lead to a "super-cycle" of economic growth, benefiting companies that embrace and integrate AI into their operations. Lutnick also touches upon the implications of AI for employment, suggesting that while some jobs may be displaced, new, higher-value roles will emerge. He emphasizes the importance of retraining and upskilling the workforce to adapt to these changes.

AI and Energy: Fueling the Future of Innovation

Chris Wright, CEO of Liberty Energy, focuses on the critical relationship between AI and energy consumption. He points out that the training of AI models requires immense amounts of electricity, and the demand for energy will only continue to grow as AI technologies advance.

Wright advocates for a balanced energy strategy that includes all forms of energy, including fossil fuels, to meet this escalating demand. He argues that restricting energy sources would stifle AI innovation and put the US at a disadvantage. Wright also highlights the role of AI in optimizing energy production and distribution, making existing infrastructure more efficient.

Government's Role in the AI Race: Doug Burgum's Vision

North Dakota Governor Doug Burgum discusses the role of government in fostering AI innovation and addressing its challenges. He emphasizes the importance of creating a regulatory environment that encourages rather than stifles AI development.

Burgum highlights North Dakota's efforts to attract AI companies and talent by providing a supportive ecosystem, including access to data and computational resources. He stresses the need for collaboration between government, academia, and the private sector to accelerate AI research and development.

Burgum also addresses concerns about AI's impact on privacy and ethics, advocating for responsible AI development and deployment that prioritizes human values. He suggests that states can play a crucial role in experimenting with and implementing AI policies that can then be scaled nationally.

Conclusion: A Collaborative Future

The discussion concludes with a shared understanding of AI's transformative potential across various sectors. The panelists underscore the importance of strategic investment, responsible innovation, and cross-sector collaboration to ensure that the US maintains its leadership in the global AI race.

The emphasis is on proactive measures to harness AI's benefits while mitigating its risks, ultimately aiming for a future where AI drives prosperity and strengthens national security.

🎥 Winning the AI Race Part 5: President Trump on the AI Action Plan

This part summarizes a discussion featuring President Trump on America's AI Action Plan, focusing on trade, national security, and the development of artificial intelligence.

Trade Deals and Economic Growth

President Trump begins by highlighting recent trade deals, including a significant agreement with Japan. He notes that this deal, which involved reducing a 25% tariff to 15%, resulted in a "$550 billion signing bonus" for the US.

He emphasizes that Japan has agreed to "open up its country to trade" for the first time ever, allowing American businesses to operate openly and freely with a zero tariff.

He also mentions similar deals with the Philippines and Indonesia and ongoing negotiations with China and the UK. Trump states that America is "taking in hundreds of billions of dollars like it never has before" and that investments into the country are at an all-time high.

AI: A "Genius" Technology and a Global Race

President Trump expresses his views on artificial intelligence, stating that he finds the term "artificial" to be unappealing and that he prefers to call it "genius". He describes AI as one of the most important technological revolutions in history, with the potential to transform every aspect of human endeavor, from medicine and manufacturing to warfare and national defense.

He declares that America, as the country that started the AI race, "is going to win it" and will not allow any foreign nation to surpass it. The goal is to ensure that American children do not live on a planet controlled by adversaries' algorithms.

The White House AI Action Plan: Pillars of Strategy

The President outlines the key pillars of the White House AI Action Plan:

Praising Key Individuals and Industry Leaders

President Trump acknowledges and thanks several individuals for their contributions:

• David Saxs: "White House AI Czar" David Saxs is credited for organizing the summit and his work on the "All-In podcast".
• Jamath and Nat: Thanked for their presence and being a "great couple".
• David Friedberg and Jason Calacanist: Also thanked, with a note on Jason being a "good person".
• Jacob Hellberg: Introduced as the "future under secretary of state".
• Doug Burgum: Praised for doing a "great job" and producing low-cost energy.
• Howard Lutnick: Thanked for his role in the Japan trade deal.
• Chris Wright: Acknowledged for his contribution to the country's energy success.
• Lee Zeldin: Commended for producing "fast permits on the environmental impact statements," which is crucial for building plants and factories.
• Michael Kratsios: Director of the Office of Science and Technology Policy, thanked for his work.
• Senator Ted Cruz: Acknowledged for his hard work.
• Jensen Huang (Nvidia): Described as "amazing" and "pure genius" for Nvidia's market dominance, with Trump humorously recounting his initial desire to "break him up" before realizing the difficulty of competing with Nvidia's lead.
• Lisa Su (AMD): Congratulated for her great work.
• Shyam Sankar (Palantir): Mentioned as a key supplier for the government.
• Jeff Sprecher: Husband of Kelly Loeffler, and head of Intercontinental Exchange, acknowledged as a "fantastic guy" and friend.
• Kelly Loeffler: Praised for her work with small businesses, which are seen as a "big business" when combined.

A New Spirit of Patriotism in Tech

President Trump concludes by calling for a "new spirit of patriotism and national loyalty in Silicon Valley". He asserts that for too long, some tech companies have pursued a "radical globalism" by building factories abroad, hiring overseas workers, and dismissing American citizens, and states that "those days are over" under his leadership.

He urges US technology companies to be "all-in for America" and "put America first" to partner in achieving the vision of winning the AI race. The President emphasizes that America's triumph in AI will be "absolutely unstoppable" with the help of the industry leaders present.