Trump’s AI Action Plan is a distraction

On Wednesday, President Trump issued three executive orders, delivered a speech, and issued a plan of action, all on the subject of the continuous American leadership in artificial intelligence.

The plan contains dozens of proposed procedures collected in three “columns”: accelerating innovation, building infrastructure, diplomacy and leading international security. Some of their recommendations are studied even if they are gradual, some of which clearly serve ideological ends, and many major technology companies, but the plan is just a set of recommended procedures.

The three executive commands, on the other hand, already enables one sub -group of procedures from each column:

• One aims to prevent Amnesty International “wake up” by assigning the federal government only to connect large linguistic models that are “searching for truth” and “ideological neutral” instead of those that are claimed to prefer Dei. It is claimed that this procedure accelerates the innovation of artificial intelligence.
• The second aims to accelerate the construction of artificial intelligence data centers. A more convenient version of the industry allows an order issued under President Biden, and it provides extremist policy tools, such as effective waiver of a wide range of environmental protection, providing government granting the wealthy in the world, and even providing federal lands to private data centers.
• The third enhances and is funded by the export of technologies and the American AI AI, with the aim of securing the American diplomatic leadership and reducing international dependence on artificial intelligence systems from hostilities.

These procedures are procedures that were made on the attractive moments of the press, including an hour -old letter from the president and signed on the stage. But while the technology industry has chanted these advertisements (whose treasures will be enlarged), they have blocked the fact that the administration is currently eliminating the same policies that enabled America to become the world’s leading pioneer in artificial intelligence in the first place.

To keep America’s leadership in artificial intelligence, you have to understand what it produced. Here are four long-term specific public policies that helped the United States achieve this leadership-tasks that undermine management.

Investment of federal financing in research and development 

The recently released IQ products were developed by American companies, such as ChatGPT, through industry research and development. But the research and development that enables Amnesty International today has been largely funded by federal government agencies – such as the Ministry of Defense, the National Science Corporation, NASA, and National Health Institutes – in the 1950s. This includes the first successful program for Amnesty International in 1956, the first Chatbot in 1961, and the first expert systems for doctors in the 1970s, as well as breaches of machine learning, nervous networks, rear education, computer vision, and natural language processing.

US tax dollars have also funded developments in devices, communications networks and other technologies on which artificial intelligence systems are based. The financing of public research has undergone the development of lithium -ion batteries, small hard drive engines, LCD screens, GPS, radio frequency signal, and more on smartphones today, along with chips used in artificial intelligence data centers, and even the Internet itself.

Instead of building on the history of research on a global level, the Trump administration reduces research and development, shooting at federal scientists, and pressure on leading research universities. The business plan for this week recommends investing in research and development, but the actual budget of management suggests a 36 % reduction in research and development. It also suggested procedures to coordinate and direct federal research and development better, but coordination will not result in more funding.

Some say that companies in research and development will make the difference. However, companies are conducting research that benefit from the end result, not necessarily the national interest. Public investment allows wide scientific inquiries, including basic research that lacks immediate commercial applications, but sometimes it ends up opening huge markets after years or decades. This is what happened with the artificial intelligence industry today.

Immigration and immigrant support

In addition to investing in general research and development, America has long attracted the best researchers and innovators in the world.

Today, Al -Tulaidi is based on the Transformer model (T in Chatgpt), which was described by a team in Google for the first time in 2017. Six of the eight researchers in this team were born outside the United States, and the other two are immigrant children.

This is not an exception. The immigrants were pivotal in the American leadership in artificial intelligence. Of the 42 American companies listed in 2025 Forbes The classification of 60 % of the startups of artificial intelligence occupies at least 60 % of the migrant founder, according to the analysis of the Progress Institute. Immigrants also established companies or headed companies in the midst of the INPNAI, Anthropic, Google, Microsoft, NVIDIA, Intel, and AMD.

“Brain Drain” is a term that has been formulated for the first time to describe scientists who leave other countries for the United States after World War II – in favor of Americans. Unfortunately, the trend began to reflect this year. Recent studies indicate that the United States is already losing the advantage of Amnesty International through anti -immigration management measures (including measures taken against artificial intelligence researchers) and reducing research and development financing.

Ban non -competitions

Attracting talented minds is only half of the equation; Giving them freedom to innovate is crucial.

Silicon Valley obtained his name because of the mid -twentieth^–Cenury companies that made semiconductors of silicone, starting with the founding of the Shockley in 1955. By the end of the sixties of the last century, the successive groups of the former Vertcheld employees left the Intel, AMD and others called “Fairchildren”.

Software and Internet companies eventually followed, once again established by people who worked in their ancestors. In the 1990s, former Yahoo Employees founded WhatsApp, Slack and Cloudera; “Paypal Mafia” LinkedIn, YouTube and Fintech have established companies like Afferm. Former Google employees have launched more than 1,200 companies, including Instagram and Foursquare.

Amnesty International does not differ. Openai has founders working in technology companies and other graduates who have continued to launch more than ten emerging companies from artificial intelligence, including prominent companies such as Antarbur and confusion.

This workers’ liquidity and innovation that I created was possible in a large part of it, according to many historians, because the California Constitution of 1872 was interpreted to prohibit non -deadly agreements in employment contracts – protection at the state level that the state originally shared only with Northern Dakota and Aklamaoma. These agreements link one in every five American workers.

Last year, the Federal Trade Committee, headed by President Biden, moved to a ban on non -cases at the country level, but the Trump federal judge stopped the procedure. The current FTC has indicated limited support for the ban and may be comfortable to drop it. If it continues to be inappropriate, the innovation of American artificial intelligence, especially outside California, will be limited.

Follow -up to anti -monopoly procedures

One of the ads of this week requires reviewing investigations and settlements the Federal Trade Committee, which “the burden of creating artificial intelligence”. During the recent administration, it was reported that the agency was investigating Microsoft’s Amnesty International procedures, and many major technology companies have settlements that their lawyers are definitely tired, which means that this procedure can frustrate the recent progress in the anti -monopoly policy. This is a problem because, in addition to the liquidity of the employment that was achieved by banning non -competitions, the anti -monopoly policy was also working as a main counter of the Silicon Valley innovation gears.

Main monopoly cases in the second half of the twentieth century, against AT & T, IBM and Microsoft, allowed innovation and a prosperous market for semi -connectors, programs and Internet companies, and the anti -monopoly researcher, Giovana Masaruto, described.

William Shockley managed to start the first semiconductor company in Silicon Valley only because AT & T is forced to a patent license on the transistor as part of the approval decree in resolving a lawsuit against the company DOJ against the company in the fifties.

Then the early software market was launched because in the late 1960s, IBM dismantled its programs and devices in response to the anti -monopoly pressure from the federal government. Massaruto explains, AT&T approval decree in the 1950s also helped the prosperity of open source programs, which plays a major role in the technology ecosystem today, including mobile operating systems and cloud computing servers.

Meanwhile, many attribute the success of the Internet companies in the early first decade of the twentieth century, such as Google, to the competitive breathing room created by a lawsuit against the government of the federal government against Microsoft in the 1990s.

Over and over, the anti -monopoly procedures targeting the dominant actors in one era of the next form enabled. Today, major technology technology suffocates the artificial intelligence market. While anti -monopoly defenders were truly optimistic about the status of this administration in giving the main dates early, this week’s ads must reduce this excitement.

I don’t want to lose focus on the place of things: we must want a future in which lives are improved through the positive uses of AI.

But if America wants to continue leading the world in this technology, we must invest in what we have made leaders in the first place: bold public research, open doors for global talent, and fair competition.

Giving priority to industry profits in the short term on these principles of basis will not endanger our technological future-placing America’s role as danger as the power of innovation in the world.

Asad Ramzanali is the director of intelligence and artificial technology policy in the accelerator of Vanderbilt Policy. He previously held the position of Chief of Staff and Deputy Director of the White House Office for Science and Technology during the era of President Biden.

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2025-07-24 20:15:00