Trump’s promised ‘golden age’ collides with a tech revolution



President Donald Trump opened his second inaugural address by declaring, “The golden age of America begins right now.” His new term promises a transformational four years. While foreign policy, economic concerns, and political divisiveness will dominate headlines, a quieter yet far-reaching revolution is underway. Massive technological innovation coincides with Trump’s presidency, setting the stage for societal changes that will shape the coming decades. These advancements offer progress but also demand vigilance as the nation navigates their ethical and societal challenges.

By the time Trump leaves office in January 2029, artificial intelligence, automation, self-driving cars, quantum computing, and other emerging technologies will have reached unprecedented levels. Their evolution and impact on society will likely shape the future more profoundly than the political battles of today.

The next few years will hinge on how society embraces innovation while protecting freedoms, privacy, and stability.

OpenAI, Tesla, and IBM are driving technological advancements, investing billions in research and development to turn science fiction into reality. The AI startup sector alone secured more than $100 billion in global investments last year. Companies pursuing quantum computing, including Google and IBM, are racing toward quantum supremacy, aiming for breakthroughs that could transform entire industries. Tesla and Waymo are investing billions in self-driving cars, positioning themselves to revolutionize transportation.

This surge in investment and innovation highlights the transformative power of these technologies. At the same time, it raises concerns about how society will navigate their rapid evolution. As these breakthroughs accelerate during Trump’s presidency, the stakes remain high — not only for harnessing their potential but also for mitigating their risks

The rise of a new decision-maker

Artificial intelligence has advanced rapidly in recent years, evolving from narrow, task-specific algorithms to sophisticated systems capable of natural language understanding, image recognition, and even creative tasks like generating art and music. OpenAI’s ChatGPT and Google’s DeepMind have become household names, demonstrating AI's expanding role in everyday life and business.

By 2029, industry experts expect AI to grow more advanced and deeply integrated into society, influencing everything from health care to legal systems. Breakthroughs in generative AI could enable machines to produce realistic virtual experiences, transforming education, entertainment, and training. AI-driven research is also poised to accelerate discoveries in medicine and climate science, with algorithms identifying solutions beyond human capabilities.

These advancements promise significant benefits. AI could revolutionize medicine by personalizing treatments, reducing errors, and improving access to care. Businesses may see substantial productivity gains, driving economic growth and innovation. Everyday conveniences, from personal assistants to smart infrastructure, could enhance quality of life, relieving people from mundane tasks and fostering greater creativity and leisure.

The rapid integration of AI raises serious concerns. As AI systems collect and analyze vast amounts of data, issues of surveillance, privacy, and consent demand attention. There are automated decision-making risks that could displace workers, worsen economic inequality, and foster new forms of dependency. Misuse — whether through biased algorithms, manipulative propaganda, or authoritarian control — heightens the need for vigilance. Protecting individual liberty and ensuring AI serves society, rather than undermining it, remains crucial.

Redefining the workforce

Advanced robotics and automation are rapidly transforming traditional industries. Robots already handle complex tasks in manufacturing, agriculture, and logistics, but improvements in dexterity and AI-driven decision-making could make them essential across nearly every sector by the decade’s end.

Several companies are racing to develop increasingly advanced robots. Tesla’s Optimus and Agility Robotics’ Digit are humanoid models designed to perform tasks once exclusive to humans. As Agility Robotics strengthens its partnership with Amazon, Elon Musk predicts robots will outnumber people within 20 years.

While automation boosts efficiency and productivity, it also threatens jobs. Millions of workers risk displacement, creating economic and social challenges that demand thoughtful solutions. The Trump administration will likely face mounting pressure to balance innovation with protecting livelihoods.

Who is in the driver’s seat?

Self-driving vehicle technology has long been anticipated, with Elon Musk initially predicting its emergence by 2019. While that timeline proved optimistic, autonomous vehicle technology has advanced significantly in recent years. What began as experimental prototypes has evolved into semi-autonomous systems operating in commercial fleets. By 2029, fully autonomous vehicles could become widespread, transforming transportation, urban planning, and logistics.

Despite these advancements, controversies remain. Questions about safety, liability, and infrastructure lack clear answers. Additionally, concerns about centralized control over transportation systems raise fears of surveillance and government overreach. The Trump administration will play a crucial role in shaping regulations that safeguard freedom while fostering innovation.

A massive computing breakthrough

Quantum computing, once limited to theoretical physics, is rapidly becoming a practical reality. IBM and Google have led advancements in this technology, with Google recently unveiling Willow, a state-of-the-art quantum computer chip. According to Google, Willow completed a complex computation in minutes — one that would have taken the world’s most advanced supercomputers 10 septillion years. That’s more than 700 quintillion times older than the estimated age of our universe.

With the ability to solve problems at speeds unimaginable for classical computers, quantum computing could transform industries like cryptography, drug development, and economic modeling.

This technology also presents serious risks to privacy and security. Quantum computing’s ability to break traditional encryption methods could expose sensitive data worldwide. As the field advances, policymakers must develop strong regulations to protect privacy and ensure fair access to this powerful technology.

Trump’s most enduring legacy?

These technological advancements could drive extraordinary breakthroughs, including drug discoveries, disease cures, and an era of abundance. But they also pose significant risks. Concerns over data collection, job displacement, surveillance, and coercion are not hypothetical — they are real challenges that will require attention during Trump’s term.

The next few years will hinge on how society embraces innovation while protecting freedoms, privacy, and stability. Trump’s role in this technological revolution may not dominate headlines, but it will likely leave the most lasting impact.

Tesla robot pictured folding laundry just months after technology was revealed



Elon Musk showcased a video of a Tesla robot folding a shirt just a few short months after both the menial task and robot technology was revealed.

The robots, called "Tesla Optimus," are described as "general purpose, bi-pedal," and "humanoid" robots that are capable of performing tasks that are "unsafe, repetitive or boring."

The bots made their first big reveal in May 2023 and were shown walking around and "learning about the real world."

At the same time, a group of scientists and robotics engineers developed a robot that can learn an individual's cleaning habits and techniques to properly organize their living space and throw out waste.

The "Tidybot" included input from Princeton, Stanford, and Columbia University engineers, along with help from Google and the Nueva School.

One of the engineers posted about the technology as early as May 2023 as well.

While it is unclear whether either technology derived from the other, it was only two months later that the Tesla Optimus revealed it was capable of sorting objects on its own.

"Optimus can now sort objects autonomously," the company wrote on X. "Its neural network is trained fully end-to-end: video in, controls out."

Optimus can now sort objects autonomously \xf0\x9f\xa4\x96 \n\nIts neural network is trained fully end-to-end: video in, controls out.\n\nCome join to help develop Optimus (& improve its yoga routine \xf0\x9f\xa7\x98) \n\n\xe2\x86\x92 https://t.co/dBhQqg1qya
— (@)

By the second week of 2024, Musk unveiled a video of the same robot carefully removing a T-shirt from a laundry basket before gently folding it on a table.

"Optimus folds a shirt," Musk wrote.

The robot is seen carefully arranging the shirt on the table before starting its task while almost seeming to possess too much strength for the intricate feat.

— (@)

When the Tidybot was released, engineers revealed how their robot was able to properly organize household items.

The robot worked by having users input (in text) a small number of sample preferences that instructed the robot as to where items should be placed. For example, "yellow shirts go in the drawer, dark purple shirts go in the closet," the product's abstract described.

This allowed the robot to summarize "large language models" and generalize information to apply to other items it may come across. Therefore, it could generally summarize that "light-colored clothes go in the drawer and dark-colored clothes go in the closet."

The robot could identify objects and receptacles through a database of images it had, meaning it recognized what a shirt or a recycling bin looked like. "The robot will then carry out the cleanup task by repeatedly picking up objects, identifying them, and moving them to their target receptacles," the document stated.

The engineering team said that their approach achieved a 91.2% accuracy rating on unseen objects in their scenarios. In real-world applications, the robot reportedly correctly put away 85% of objects.


When organizing a home, everyone has unique preferences for where things go. How can household robots learn your preferences from just a few examples?\n\nIntroducing \xf0\x9d\x97\xa7\xf0\x9d\x97\xb6\xf0\x9d\x97\xb1\xf0\x9d\x98\x86\xf0\x9d\x97\x95\xf0\x9d\x97\xbc\xf0\x9d\x98\x81: Personalized Robot Assistance with Large Language Models\n\nProject page: https://t.co/LbVGq01QMT
— (@)

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Kuwait inaugurates era of realistic AI-generated news presenters in Arabia with debut of 'Fedha'



A Kuwaiti news outfit debuted the newest member of its team over the weekend. Unlike others at the station, this talking head, named "Fedha," is neither a dues-paying member of a union nor deserving of a parking spot. In fact, Fedha is not even a human being.

Kuwait News, an affiliate of the Kuwait Times, posted a video to Twitter Saturday depicting a modestly dressed white woman with blonde hair that introduced itself as "Fedha ... the first presenter in Kuwait who works with artificial intelligence."

The humanistic simulacrum then said in Arabic, "What kind of news do you prefer? Let's hear your opinions."

Abdullah Boftain, deputy editor in chief for Kuwait News, told AFP that Fedha is a test of AI's potential to both offer "new and innovative content" and present news bulletins to the outlet's 1.2 million Twitter followers in an appropriate Kuwaiti accent.

\u201c\u0623\u0648\u0644 \u0645\u0630\u064a\u0639\u0629 \u0641\u064a #\u0627\u0644\u0643\u0648\u064a\u062a \u062a\u0639\u0645\u0644 \u0628\u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\n\n\u2022 #\u0641\u0636\u0629.. \u0645\u0630\u064a\u0639\u0629 #\u0643\u0648\u064a\u062a_\u0646\u064a\u0648\u0632 \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u064a\u0629\n\n\u2022 \u0645\u0627 \u0647\u064a \u0646\u0648\u0639\u064a\u0629 \u0627\u0644\u0623\u062e\u0628\u0627\u0631 \u0627\u0644\u062a\u064a \u062a\u0641\u0636\u0644\u0648\u0646\u0647\u0627 \u0628\u062a\u0642\u062f\u064a\u0645 #\u0641\u0636\u0629 \u0632\u0645\u064a\u0644\u062a\u0646\u0627 \u0627\u0644\u062c\u062f\u064a\u062f\u0629\u061f .. \u0634\u0627\u0631\u0643\u0648\u0646\u0627 \u0622\u0631\u0627\u0621\u0643\u0645\u201d
— \u0643\u0648\u064a\u062a \u0646\u064a\u0648\u0632 (@\u0643\u0648\u064a\u062a \u0646\u064a\u0648\u0632) 1680984130

"Fedha is a popular, old Kuwaiti name that refers to silver, the metal. We always imagine robots to be silver and metallic in colour, so we combined the two," explained Boftain.

Boftain suggested that Fedha's appearance was intended to reflect the Near Eastern nation's "diverse" population of natives and expatriates, stressing, "Fedha represents everyone."

Fedha also represents an opportunity to help realize Goldman Sachs' prediction that AI will soon replace around 300 million jobs.

A recent report by investment bank Goldman Sachs indicated that a quarter of work tasks in the U.S. and Europe could be replaced by AI, in part because generative AI is now capable of generating new content "that is indistinguishable from human-created output."

This great replacement will impact various sectors, but not all equally. For instance, 46% of tasks in administrative and 44% in legal professions could reportedly be automated, but only 6% in construction can be taken over by AI.

Carl Benedikt Frey, future of work director at the Oxford Martin School, Oxford University, told British state media, "The only thing I am sure of is that there is no way of knowing how many jobs will be replaced by generative AI."

"What ChatGPT does, for example, is allow more people with average writing skills to produce essays and articles," said Frey. "Journalists will therefore face more competition, which would drive down wages, unless we see a very significant increase in the demand for such work."

The Goldman Sachs report indicated that 26% of the arts, design, entertainment, sports, and media industry could possibly be automated by AI.

At Kuwait News, for instance, an AI-generated simulation scripted by ChatGPT could potentially serve as a full0time replacement for a flesh-and-bone script-reader.

The New York Post noted that Fedha, while possibly among the more lifelike, is not the first AI-generated news presenter.

Chinese state news agency Xinhua News revealed a virtual newsreader called Qiu Hao in 2018, dressed in a suit and tie. The humanistic simulacrum said, "I will work tirelessly to keep you informed as texts will be typed into my system uninterrupted."

Xinhua's first English AI anchor makes debut youtu.be

Months later, Xinhua introduced what it claimed was the world's first female AI news anchor, known as Xin Xiaomeng.

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