The U.S. Government AI Master Plan

More than 400 federal agencies are joining forces with America's top tech companies in a massive new government master plan...

The plan aims to unleash a wave of innovation centered on artificial intelligence ("AI") and automation. And it's unfolding right now under a bold White House directive.

According to some estimates, this initiative could add as much as $50 trillion to the U.S. economy in the coming years. And its scope is being compared with the Manhattan Project and the Cold War tech race.

At the heart of this strategy is a government-wide mandate to "remove all barriers" to adopting AI across federal agencies. (Watch the full documentary by clicking here.)

By September 30, every agency – from the Treasury to the Social Security Administration – must have a plan to weave advanced AI and autonomous systems into its operations. To make it happen, Washington is rallying support from industry giants like Nvidia (NVDA), Microsoft (MSFT), Alphabet (GOOGL), Amazon (AMZN), as well as countless startups.

Experts estimate that mastering AI and automation could boost global economic output by tens of trillions. One bold prediction from ARK Invest puts it at $200 trillion globally by 2030, with roughly $50 trillion potentially accruing to the U.S. economy.

In practical terms, this means a wave of new tech companies, millions of new millionaires, and opportunities for regular investors... if they position themselves early.

The Big Picture: Setting the Stage for America's Finest Hour

America stands at a crossroads of technology and geopolitics...

On one side, advanced AI and autonomous machines could change how we live and work. And on the other side is a fierce global rivalry, especially with China, to control this new frontier and the future of the world economy.

The government's master plan answers this moment. It aims to ensure that the next era belongs to the United States, much as the mid‑20th century did.

We've seen America mobilize like this before...

Before World War II, the U.S. had a relatively small military. Its army ranked 39th in size. Once provoked, however, the nation turned its economy into a production engine. Factories retooled to make ships, tanks, and bombers at high speed. By war's end, the U.S. produced more than half of the world's manufacturing output.

That surge helped win the war and set up American economic dominance for decades.

A similar story played out in the Cold War. In the 1980s, President Ronald Reagan launched a large military‑tech buildup with a clear strategy – to force the Soviet Union to keep up... until it couldn't.

As one diplomat said, "Ronald Reagan obligated the Soviet Union to increase its military spending to the limits of insupportability." By decade's end, the USSR's economy was in shambles. And it ultimately collapsed, without the U.S. firing a direct shot.

America won economic supremacy in that contest by out‑innovating and out‑spending in key technologies.

Fast forward to today. Artificial intelligence is widely seen as the next transformative technology – as important as electricity or the Internet.

Whatever nation leads in AI will likely lead the global economy for the next 50 years.

No surprise then that China is investing heavily to catch up or overtake the U.S. And it has made strong gains... with large government funding for AI startups, more AI patents than any other country, and deployment of AI in factories and city surveillance.

In some respects, the competition is close. A recent Stanford study found that the U.S. still produces more top‑tier AI systems, while China is closing the quality gap and leads in the volume of AI research papers and patents.

This has raised alarms in Washington...

For the first time since the end of the Cold War, America faces a peer competitor with the resources and ambition to challenge its economic leadership.

The master plan is the U.S.'s answer. It calls for a nationwide push on AI and automation to pull ahead of China. The goal is to make AI adoption a priority across all federal agencies and to encourage the private sector to innovate even faster.

It could mean new industries, such as AI‑driven healthcare, self‑driving transportation networks, and autonomous factories. It could mean millions of high‑tech jobs and broad wealth creation as innovation spreads through the economy.

It is also a plan to deny China the chance to dominate these fields. By sprinting forward, America forces China into costly catch‑up.

The U.S. government has already taken steps to slow China's tech sector – for example, banning exports of the most advanced AI chips and design software that Chinese companies need. The U.S. is also partnering with allied nations to build alternative chip supply chains and AI research hubs, aiming to isolate China technologically.

These moves echo the Reagan‑era strategy... pushing a rival to spend more and more for less and less gain.

And if successful, the potential payoff is massive... potentially doubling America's GDP in the coming decades.

Key Idea No. 1 – Unleashing an AI Revolution Across the Government

The first pillar of this master plan is a fast, government‑wide push to adopt AI and automation...

A White House directive and the Office of Management and Budget ("OMB") memo M-25-21 set this master plan in motion...

On January 23, the President signed Executive Order 14179 – "Removing Barriers to American Leadership in Artificial Intelligence." The order tells agencies to remove red tape that slows new technology. It shows that AI is a top priority.

The OMB then issued Memo M‑25‑21, titled "Accelerating Federal Use of AI through Innovation, Governance, and Public Trust." It orders all executive departments and agencies to create plans to add AI to their operations and services.

The memo sets tight deadlines...

• Within 60 days, each agency must name a Chief AI Officer.
• Within 90 days, major agencies must create AI Governance Boards.
• Within 180 days, every agency must publish a plan to remove barriers to AI in its workflows.

By the end of September, the federal bureaucracy should have its AI plan ready.

The effect could be massive... The U.S. federal government is the nation's largest employer. It has about 2.8 million civilian employees and about 1.3 million active‑duty military. It spends trillions each year on Medicare, defense, and infrastructure.

Now this entire system is told to use AI, automate what it can, and move fast.

The aim is not to replace workers overnight. The aim is to help streamline their work and help make government more efficient and effective.

Agencies are cutting red tape and removing barriers that block AI tools or autonomous systems. For example, a rule might say a human must review every Social Security disability claim. An AI system could assist or handle initial screenings. Or maybe procurement rules might make it hard to buy new AI software from a startup. Those rules could be relaxed so adoption moves faster.

The memo calls for a forward‑leaning and pro‑innovation stance. It urges streamlined approvals and waivers for AI projects when justified.

The government is not acting alone. Partnerships with the private sector are already underway...

• Microsoft, Alphabet, and Amazon are working on deals to upgrade government IT with AI. That includes smarter cloud services for agencies.
• Nvidia is discussing hardware supply and guidance on AI computing centers for government needs.
• Palantir has contracts with the Department of Health and Human Services and the Department of Homeland Security. It is also in talks with the IRS and Social Security Administration to use AI to process forms and catch fraud. Palantir is also using AI in real time to make nuclear reactors easier to build.
• Many startups focus on autonomous robots, data mining, and AI‑assisted decision tools. They are being fast‑tracked into pilot programs across departments, from the Pentagon to the Department of Energy.

The idea is to combine Silicon Valley innovation with Washington scale. Uncle Sam funds AI and then uses it to improve public services.

For companies, it is a gold rush. The federal government is the biggest customer on Earth and now has a mandate to spend on AI. For the government and taxpayers, the aim is more efficient services...

For example, the Social Security Administration is testing AI to process disability claims and benefits faster. The agency has large backlogs. Early pilots show that AI can flag straightforward cases accurately. Human officers can focus on complex cases. Wait times should drop.

Over at the IRS, auditors are experimenting with AI for fraud detection. The systems scan patterns in tax returns and spot suspicious activity that a human might miss. The new directive is speeding up this work. The goal is to recover more unpaid taxes with greater efficiency.

The Department of Defense recently created the AI Rapid Capabilities Cell. It focuses on AI‑powered weapons and systems. The Pentagon is testing autonomous drone swarms that patrol without direct human pilots. It is also testing undersea robots that could detect enemy submarines on their own. These projects are getting more funding and higher priority.

And the Department of Energy is using AI to optimize the electric grid. The models predict surges or faults and adjust in real time. This could prevent blackouts and help manage renewable energy.

Of course, the plan requires coordination. There are more than 400 agencies and hundreds of AI efforts. The White House is setting up interagency councils. Agencies are appointing Chief AI Officers to share best practices. One agency can adapt another agency's tools. A traffic management AI at the Department of Transportation could help the Department of the Interior manage crowds in national parks.

We expect potentially trillions of government dollars to ultimately flow into AI technologies.

During the Cold War tech buildup in the '80s, federal support and purchases lifted U.S. semiconductor companies...

Micron Technology saw gains on the order of 25,000%. Texas Instruments rose about 15,000%. Intel rose by about 18,000%. These gains were driven by strong demand for new tech, much of it government or government‑inspired.

We may be in a similar moment now, with the private‑sector AI boom already underway. And many analysts expect a second wave of growth beyond the well‑known tech stocks as this AI push spurs startups and innovation. Entrepreneurs will see that the government is eager to adopt new tech and has money to pay. They will target agency problems. Breakthroughs can even spill over to the broader economy.

And this first key idea is just the foundation of the government's all-in push for AI...

Key Idea No. 2 – 'Make China Pay'

While the U.S. government's AI master plan may help boost the domestic economy, it also has a geopolitical motive...

The goal is to blunt China's bid for superpower status by winning the AI race. People call this idea "Make China Pay" – a nod to how Reagan's policies in the 1980s made the Soviet Union pay economically for trying to keep up.

The new cold war is about technology. And AI sits at the center.

The country that leads in AI gains a decisive edge. It will have better transport and manufacturing. It will run sharper intelligence analysis and field more capable autonomous weapons. If the U.S. pulls ahead, China will feel forced to pour in resources... straining its economy.

Early signs already point to a stretch. China faces rising wages and U.S. tariffs. Factories are installing robots to protect cost advantages. According to the New York Times, some hubs now use an "army of robots." Machines work all day and night for less than people. In big cities, robot valets park cars. Robotic chefs flip burgers. AI cargo vehicles roam ports.

The push looks impressive. But it is also expensive. China is investing to rely less on human labor. It wants to stay competitive when cheap labor isn't enough.

There is also an AI startup boom. China has about 4,500 homegrown AI firms – working on everything from facial recognition to drone swarms. Many draw funding from the state or its affiliates. And it's also true that China produces far more engineering graduates than the U.S... roughly six times more each year.

But quantity is not quality. Breakthroughs are still more common in the West – at least for now. Many top Chinese AI minds studied at U.S. universities. If the U.S. stays open and keeps attracting global talent, it can lead at the cutting edge. China would need even greater effort to become truly self‑sufficient.

The U.S. is also opening more fronts to try and make China pay...

One is tech containment. The U.S. currently restricts sales of the highest-end AI chips to China. The U.S. has told software companies to stop serving Chinese firms. That includes providers of semiconductor design software. The U.S. also presses allies in Europe, Japan, and Taiwan to hold back advanced chip technology.

If China wants to lead in AI, it must build high‑end chips and software on its own. That task could cost tens of billions and take years. Essentially, the U.S. is raising the price of admission.

Military posture is another lever. The U.S. is weaving AI into defense. It is pushing autonomous drones, AI‑enabled surveillance, and cyber defenses. The U.S. driving toward AI‑powered defense can push China to expand military research and development. Money then shifts away from other needs.

In the 1980s, the Soviet Union spent an estimated 20% to 40% of its GDP on the military. That burden crushed its civilian economy. China in the 2020s and 2030s could face a similar dilemma... It could spend heavily on AI and tech to avoid falling behind. But in turn, the nation will struggle more with debt, property bubbles, and an aging population.

Years of rapid growth have left deep problems in China...

Not long ago, a real estate crisis hit the nation. Major developers defaulted. Housing sales plunged. Trillions in expected value disappeared. Bad loans strained banks. Youth unemployment climbed – rising to more than 20% in 2023. Then China stopped publishing the number at a record 21.3%. After a reconfiguration, it was still around 17% in mid‑2024.

These issues cut financial flexibility. Forcing China to double down on costly tech exploits these weak spots. Subsidies for chips will surge. Domestic AI research will need more money.

So far, China seems to have taken the bait. State media and leaders cast U.S. tech curbs as an existential challenge. New economic plans in China put heavy focus on AI, quantum computing, and advanced manufacturing.

Yet structural hurdles remain. The innovation climate in China is constrained. Censorship and state control limit open exchange. And China's Great Firewall restricts access to the broader Internet.

AI thrives on open data and collaboration... but many researchers in China lack full access to global datasets. That can slow progress in cutting‑edge models. U.S. researchers face fewer limits and work with global partners.

Nonetheless, America shouldn't underestimate China. By some counts, Chinese companies and labs are at or near the front in many AI subfields.

That's why the U.S. government's strategy is to make China's AI road harder, more expensive, and take longer... long enough to strain China's endurance.

Of course, beating China for economic dominance is one thing. The real question is what winning looks like for Americans...

Key Idea No. 3 – The $50 Trillion Autonomous Economy

The potential upside as a result of this push into AI is what renowned investor Eric Wade calls the "autonomous economy."

That simply means that machines do more of the "thinking" and "doing"... entirely on their own. Think self‑driving cars, AI diagnostics in hospitals, robot warehouses, virtual assistants in offices, and software bots that handle routine tasks.

The U.S. master plan pays off if this shift takes hold... with potentially trillions of additional GDP growth. Here's what that world looks like and why the numbers get so large...

Transportation changes first. You take your first ride in a car with no driver. On highways, self‑driving trucks move goods coast to coast all day and night. Drones drop packages at your door.

Already, Waymo and Tesla (TSLA) are racing ahead to create this vision. And Uber and Lucid recently inked a deal to deploy more than 20,000 robotaxis. In China, Baidu runs autonomous taxis in about a dozen cities. In an autonomous economy, this scales nationwide. Time and cost fall across transport.

Industry and warehouses change, too. Cheap labor matters less when robots do the work. With advanced robotics, the U.S. can reshore production. A mostly automated factory in Ohio can compete with low‑wage countries.

Amazon already uses more than 750,000 robots in its fulfillment centers to move shelves and sort packages. Many companies will likely copy this model. Teams are building humanoid robots for simple manual work... For example, Tesla is working on Optimus. And Boston Dynamics has its own version. These machines can take on repetitive or heavy tasks on factory floors. Productivity could soar. Manufacturing could shift back to the U.S.

Offices and services shift as well. AI agents handle customer service calls and sound like people. Routine paperwork moves fast. AI can process loan applications and insurance claims in seconds. Government services add AI assistants that guide you.

In health care, AI reads X‑rays and MRIs and often finds issues more accurately than a human doctor. Robotic systems assist in surgeries. Intuitive Surgical has systems that have performed millions of procedures. The U.S. spends almost 18% of GDP on health care. A 10% gain in efficiency saves hundreds of billions each year. AI drug discovery can cut time and cost. New medicines reach the market faster.

Home life changes too. You may have a personal household cleaning robot. It will be far more capable than today's Roomba. The cost of robots is falling, too. Some expect that within a decade a basic humanoid helper could cost under $25,000... close to the price of an economy car. Middle‑class families may see a robot butler as a real option for elder care or convenience.

Smart home systems use AI to manage energy, security, and even cooking – all with little input from you.

The core idea is simple. A large share of work becomes automated and intelligent. The effect on productivity could be huge. ARK Invest says that by 2030 AI could make knowledge workers up to 10 times more productive.

This is why some forecasts reach into the tens of trillions. ARK Invest has a bold case. It says AI could enable as much as $200 trillion in annual global output by 2030. That would roughly double the global GDP.

Even if that is too optimistic or takes longer, the direction is clear... Today, the U.S. has about a $30 trillion economy. An extra $20, $30, or $50 trillion over a few decades would be transformational. It would dwarf any prior tech boom we've experienced.

Private investment also shows the trend. In the U.S., private AI investment last year was nearly 12 times higher than in China. Venture funds and big companies are pouring money into startups. Health care AI and fintech AI each have a wave of new firms. Each niche could become a multi‑billion‑dollar market.

The backbone of this trend is computing power. The U.S. has built a vast cloud of data centers. By some measures the U.S. has more than 10 times as many high‑end data centers as China.

And of course, new industries will appear that essentially no one can imagine yet.

For example, 15 years ago, there was no "app economy" at scale... now it's massive. The same will happen across the autonomous economy. Robot maintenance, AI training services, and virtual and augmented reality may mix with AI to create new ways to work, play, and meet.

History shows that each wave of automation creates more new jobs than it destroys. The jobs change, and society gets richer.

None of this is guaranteed... but the potential upside for Americans is massive. And for investors, there will be opportunities across the entire AI ecosystem... from chipmakers to software firms, data center REITs to sensor makers, cybersecurity companies to resource miners.

What Is Stansberry Research?

Stansberry Research is a leading American publisher of investment research and financial education.

Founded more than 25 years ago, it has grown into one of the largest independent investment newsletter providers in the world. It's known for its wide range of subscription-based publications, covering investment strategies and sectors. These include topics like value investing, income investing, commodities, biotech, macroeconomic analysis, and more.

The firm prides itself on independent, sometimes contrarian analysis. It is not a brokerage or fund manager... It doesn't manage or invest your money. Instead, it provides specific advice to its paid-up subscribers.

That's important... It means that Stansberry's analysts only succeed by recommending opportunities and making calls that subscribers find valuable.

It's worth noting that Stansberry is known for a bold, narrative-driven style of marketing. However, those who subscribe know that its published paid analysis is substantial. Essentially, they package financial education in an engaging story format... but the insights and recommended opportunities are rooted in research.

To summarize, Stansberry Research is an influential and experienced voice in the investment world, especially known among individual investors looking for guidance outside of the traditional Wall Street brokerage paradigm.

Who is Eric Wade?

Eric Wade is the Stansberry Research analyst who has been front and center in this discussion of America's AI master plan and the coming autonomous economy.

One legendary anecdote about him is that he once bought the Internet domain WallStreet.com for just $7, and later, in 1999, sold it for more than $1 million. This was at the height of the dot-com boom when good domains became incredibly valuable.

A former stockbroker and serial entrepreneur, today Eric is dedicated to helping investors navigate the landscape of technology and cryptocurrency as the editor for Stansberry Innovations Report. The newsletter covers all kinds of game-changing technologies – like AI, robotics, 5G, and precision medicine.

A recent internal audit of Eric's five-year performance showed average annualized gains of 29%. That trounces the S&P 500, which returned 18% annualized gains over that same time frame.

Eric's insights have been featured in mainstream financial media as well – he has been quoted or appeared in Barron's, The Wall Street Journal, and CNBC.

You can read more about Eric from a cover story in American Consequences, a magazine read by more than 500,000 people...

At the time the article was published, Bitcoin was trading for less than $10,000 versus around $120,000 today.

You can see how long Eric has been focused on helping investors like you discover the opportunity... and dangers... in technology.

Today, Eric is the editor for Stansberry Innovations Report, which covers all kinds of game-changing technologies – like AI, robotics, 5G, and precision medicine. You can find his current prediction detailed here... along with the name and ticker of a stock that could soon soar.

And you can also watch his video interview from earlier this year on the popular Investor Hour podcast, with nearly 600,000 subscribers...

Top Eight Questions and Answers About the Master Plan

Below, we've compiled eight common questions that investors and readers have asked about this government master plan and the autonomous economy. Do you have a question? Write us by clicking here.

1. What exactly is this White House "master plan" for AI?

It refers to a recent White House directive (Executive Order 14179) and OMB Memorandum M-25-21 that together instruct more than 400 federal agencies to accelerate the adoption of artificial intelligence and autonomous technologies.

In simple terms, the U.S. government is removing red tape and actively pushing every department – from Defense to Energy to the IRS – to integrate AI into their operations by September 30. This includes budgeting for AI projects, hiring AI talent, and collaborating with private tech companies. It's a coordinated, government-wide effort to make the U.S. a leader in AI and to reap economic benefits from it.

2. Why is the deadline of September 30 emphasized?

September 30 coincides with the end of the U.S. government's fiscal year, and it was set as a strict deadline for agencies to submit their AI adoption strategies. In practice, this means that, by that date, agency heads needed to have concrete plans on the table.

The urgency implies the administration wanted momentum now, not years down the line. While some details could shift, the key point is that the plan is already in motion as of late 2025. Agencies are now starting to implement those strategies.

For investors, this timeline is crucial: it means the wave of government investment in AI is starting imminently. Those positioned before this money flows stand to benefit early.

3. How could this plan add $50 trillion to the U.S. economy?

The $50 trillion figure is a long-term, cumulative estimate of added economic output that could result if the U.S. successfully leads in AI and autonomous tech. It comes from projections like ARK Invest's scenario where AI boosts global GDP by $200 trillion by 2030, of which the U.S. – with roughly 25% of world GDP, historically – might capture around $50 trillion.

It includes things like increased productivity, new industries and jobs created, efficiency gains, and lower costs for goods and services. Yes, it's an eye-popping number, and it likely wouldn't all happen at once – it could be spread out over a couple of decades.

The main idea is that the autonomous economy could be as transformative as the Industrial Revolution, which greatly multiplied economic output.

Remember, today's U.S. GDP is about $30 trillion... adding $50 trillion would mean an economy roughly three times larger than now. Achieving that might take longer than 2030, but the trajectory toward higher growth is what matters.

4. Isn't China already ahead of the U.S. in AI? I've heard they have more patents and data.

China is indeed a formidable competitor in AI. They file many patents (one stat said 70% of global AI patent filings are by China), and they have vast amounts of data due to their large population and extensive surveillance, which is useful for training AI. They've also rolled out AI applications like robotaxis in numerous cities faster than the U.S. in some cases.

However, the U.S. still leads in cutting-edge innovation and AI investment overall. A Stanford study noted the U.S. produced more top-tier AI models than China in 2024 and outspent China in private AI investment by about 12-to-1. The U.S. also has more high-end data centers to run AI.

The White House plan is about cementing and extending that U.S. lead. By uniting government support with private innovation, the U.S. aims to stay ahead.

So while China is close on some fronts, the race isn't over – and this plan is meant to ensure the U.S. wins it.

5. How does this plan "make China pay"? What if China just ignores it and focuses on itself?

"Make China Pay" is a phrase meaning the plan forces China into a difficult position: either concede tech leadership or spend huge sums trying to keep up.

And China is not ignoring it – it's very much reacting. For instance, after the U.S. chip export bans began, China launched massive programs to boost its domestic chip industry, which will cost it tens of billions. It's also investing heavily to reduce reliance on Western tech. All of that is money diverted largely because of U.S. pressure.

Also, China's recent economic stresses mean every extra dollar it plows into tech rivalry is a dollar not going to fix internal issues. The goal is akin to Reagan's arms race: push China to expend resources when it's economically vulnerable. This could slow China's growth or cause it to make costly misallocations.

If China doesn't try to keep up, then the U.S. simply gallops ahead unchallenged. So either way, the U.S. gains an advantage: China either overstretches or falls behind technologically.

6. How can we be sure this isn't just hype? AI has been around for years – is it really that big a deal now?

It's true that AI as a field has existed for decades. But we've reached an inflection point recently, often credited to breakthroughs in "generative AI" like large language models (e.g., ChatGPT) and advanced machine learning that can outperform humans in various tasks.

The difference now is that AI systems are practical and scalable in a way they weren't before. They can write code, create images, drive cars, diagnose diseases, etc., with a level of competence that makes them economically useful on a large scale.

As a result, businesses and governments are racing to implement them. Furthermore, the stock market has recognized AI's impact – AI-related stocks have massively outperformed recently. Even traditionally conservative institutions like the Federal Reserve have noted AI's potential in productivity.

So this isn't vaporware hype... It's akin to the Internet in the mid-90s. We are at that critical mass for AI now, and the government master plan is both a response to and an accelerant.

7. Won't AI and automation cause mass unemployment? How is that a "finest hour" for America if people lose jobs?

This is a common concern. Historically, though, technology has been a net job creator in the long run, even if it displaces some jobs in the short run. The plan acknowledges disruption but frames it as a transition.

By pushing AI leadership, the U.S. aims to create whole new industries and job categories that we can't even imagine yet – similar to how the computer revolution created software developers, IT administrators, digital marketers, and so on, which more than absorbed those displaced by, say, typewriters or switchboard operators.

That said, the master plan includes provisions for upskilling the workforce – agencies are encouraged to train employees to work alongside AI or in higher-value roles. For example, if AI handles basic data entry, a human might move into a supervisory or analytical role. Also, an autonomous economy will require many people in new roles: robot maintenance techs, AI ethicists, data curators, and so on.

The goal is to manage the transition so it's as smooth as possible. If done right, Americans will enjoy higher productivity and new opportunities – that's a win-win that would indeed mark a finest hour.

8. I feel like I've missed the boat on AI stocks – haven't companies like Nvidia already shot up in price? Is it too late to invest?

It's true that some AI-related stocks have had huge runs – Nvidia, for instance, soared and is up around 25,000% over the past decade.

But remember, in every major tech cycle, the first phase often sees the obvious leaders jump. The second phase, which arguably we're entering now, lifts a broader set of companies and often creates new leaders.

We're just at the start of AI's integration into the real economy. Many companies benefiting from AI are still in early growth stages – their big earnings boom might be ahead, not behind.

Think of the Internet boom: if you missed Netscape or Yahoo, you still had chances with Google or Facebook later. In AI, if you think you missed Nvidia, there are dozens of other areas in software, robotics, enterprise AI providers, and so on where winners are still under-appreciated.

The bottom line: we're likely in the early to middle innings of a multidecade innovation wave. It's not too late, but prudent investing is key.

Top Key Terms Defined

To wrap up, here are several important terms and concepts from this guide:

Artificial Intelligence ("AI"): A way for computers and machines to mimic human thinking and decision-making. AI can learn from data and experience, which lets it solve problems or do tasks (like recognizing your speech or driving a car) without being explicitly programmed for every step. In short, it's like giving machines a form of brainpower.

Autonomous Economy: "Autonomous" means acting on its own. Autonomous technology refers to machines or software that operate without constant human control – for example, a robot vacuum that cleans your house by itself or a self-driving car.

An autonomous economy is a future economic system where lots of work is done by self-operating machines and AI. Factories, vehicles, and even customer service might run with minimal human intervention, boosting efficiency.

Cloud Computing: This means using networks of remote servers owned by big companies like Amazon, Microsoft, and Google to store, manage, and process data, rather than doing it all on your local computer.

In simpler terms, it's like renting powerful computers and storage somewhere else and accessing them via the Internet. The cloud is essential for AI because AI models often need a lot of computing power and data storage, which cloud providers supply. When we mention data centers – those are the physical places where the cloud's servers live.

Generative AI: A type of AI that can generate new content – like text, images, or music – similar to what a human could create.

ChatGPT is a famous example... It's an AI program you can chat with that can write essays, answer questions, and more. It was trained on lots of Internet text to learn how to produce human-like responses. Generative AI feels almost magical because you give it a prompt and it creates something new. It's one of the breakthroughs that made people realize how powerful modern AI is.

Magnificent Seven Stocks: The Magnificent Seven is a nickname for seven mega-cap tech stocks – Apple, Microsoft, Amazon, Google (Alphabet), Facebook (Meta), Tesla, and Nvidia. They've led much of the market's gains, especially with AI optimism. If someone says "not just the Magnificent Seven," they mean the AI trend goes beyond just those big seven companies.

Public-Private Partnership: A collaboration where the government (public sector) works together with businesses (private sector) on a project or initiative.

In our context, it refers to how the government is teaming up with companies like Microsoft, Amazon, and Nvidia to implement the AI master plan. The government might provide funding, support, or a market, and companies provide technology or services. Both sides benefit... agencies get modern tech, companies get big contracts or assistance.

Memorandum M-25-21: A specific policy memo from the U.S. Office of Management and Budget. It's titled "Accelerating Federal Use of AI through Innovation, Governance, and Public Trust."

This memo basically orders U.S. government agencies to speed up adoption of AI and remove barriers that slow it down. Think of it as instructions from the White House telling every agency, "Get on the AI train, and fast!"

Reagan Doctrine in the Cold War: A strategy named after U.S. President Ronald Reagan. In the Cold War of the 1980s, it meant pushing back against the Soviet Union by forcing it to compete in a very expensive arms race, among other things.

The idea was to strain the Soviet economy to the breaking point by making it spend more than it could afford on military and tech to keep up with the U.S. It's credited with helping to end the Cold War in America's favor as the USSR collapsed under the pressure.

Semiconductor Chips: Often just called "chips," these are tiny electronic circuits that run all our devices – from phones and computers to cars and appliances. They are like the "brains" of electronics.

AI chips specifically are semiconductors designed to handle the heavy computations AI needs (like Nvidia's graphics processing units – GPUs – which are great for AI). The U.S. has been blocking advanced chip sales to China because, without cutting-edge semiconductors, it's hard to be at the forefront of AI.

The Top Opportunities From the U.S. Government AI Master Plan

There has never been a moment in history where so many groundbreaking technologies were on the horizon... from AI and robotics and other autonomous technology to quantum computing, gene editing, self-driving cars, and more.

That means there has never been a better time to invest in some of these companies.

The advancements we're seeing in these technologies – and the fact that they're now being adopted by the entire government at a rapid pace – confirms that.

These cutting-edge technologies present huge opportunities for people who take action today. But to properly understand and possibly profit from them, you need an expert's guidance.

That's where Eric Wade comes in with his latest documentary... Watch it now by clicking here.

When you watch, Eric will even give you the name and ticker of an opportunity he thinks you should buy immediately.