James Cameron explains how a 'Terminator-style apocalypse' could happen



Filmmaker James Cameron warned that coupling artificial intelligence with certain technologies could have a devastating affect on humanity.

Cameron, fresh off of filming "Avatar: Fire and Ash," gave an interview regarding an upcoming project about the use of the atomic bomb in World War II.

Touching on the idea of disarming countries of their nuclear weapons, Cameron was asked how AI could spell the end of the world if it was combined with powerful weaponry.

'Maybe we'll be smart and keep a human in the loop.'

In reference to his "Terminator" films in which AI launches nukes all over the world, Cameron said, "I do think there's still a danger of a 'Terminator'-style apocalypse where you put AI together with weapons systems, even up to the level of nuclear weapon systems, nuclear defense counterstrike, all that stuff."

Cameron theorized that with theater of war operations becoming so "rapid," decisions could be left up to "superintelligence," or a form of AI, that would end up using weapons systems with massive consequences.

"Maybe we'll be smart and keep a human in the loop," the director told Rolling Stone.

Cameron listed nuclear weapons and superintelligence in a trio of "existential threats" he thinks are facing human development. What he labeled as the third threat is likely to be more controversial than the first two.

RELATED: Tech elites warn ‘reality itself’ may not survive the AI revolution

"Climate and our overall degradation of the natural world, nuclear weapons, and superintelligence. They're all sort of manifesting and peaking at the same time," Cameron claimed. "Maybe the superintelligence is the answer. I don't know. I'm not predicting that, but it might be."

Cameron then imagined that AI might agree with him in terms of ridding the world of nuclear weapons and electromagnetic pulses, because they mess with data networks. He then compared AI dealing with humanity to keeping an 80-year-old alive by taking away his car keys, and he brainstormed whether or not AI could force humanity to go back to its natural state.

"I could imagine an AI saying, guess what's the best technology on the planet? DNA, and nature does it better than I could do it for 1,000 years from now, and so we're going to focus on getting nature back where it used to be. I could imagine, AI could write that story compellingly."

Cameron made similar remarks in 2023, when he downplayed the threat of AI unless there were specific circumstances at play.

RELATED: ‘The Terminator’ creator warns: AI reality is scarier than sci-fi

In an interview on CTV News, Cameron said humans would remain superior to AI until it could process thoughts using as little electricity as the human brain does, as opposed to an "acre of processors pulling 10 to 20 megawatts."

The filmmaker even seemed to take the assertion that AI is a threat to humanity as personal insult.

"When [AI systems] have that kind of mobility and flexibility and ability to project our sensory and cognitive apparatus anywhere we want to go any time we want to go, then talk to me about who's superior."

The 70-year-old told Rolling Stone that much of his imagery for his films, good or bad, comes from his dreams. This included compelling scenarios that turned into drawings and paintings, which were later used for the "Avatar" movies, as well as "horrific dreams" that became the "Terminator" series.

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Epstein-funded MIT lab hosted panel that discussed 'child-size sex robots'



A lengthy MIT Media Lab panel on "Forbidden Research" featured a segment on studying pedophiles and whether or not "child-size sex robots" should be provided to them.

The discussion lasted about nine hours when it was webcast in 2016, with the after-lunch portion of the event dedicated to a discussion on the study of pedophilia.

The discussion was uncovered as the saga surrounding deceased child sex offender Jeffrey Epstein is ongoing, with the public clamoring for more information about the shadowy elite financier's life. The topic of the panel was revealed to be even more disturbing considering the lab's financial ties to Epstein.

'Courts don't know what to do with these because no child has been harmed in making them.'

Around the five-hour mark of the event, Dr. Kate Darling took the stage to start the off-putting discussion.

"Once child-size sex robots hit the market, which they will, is the use of these robots going to be a healthy outlet for people to express these sexual urges and thus protect children and reduce child abuse? Or is the use of these robots going to encourage, normalize, propagate that behavior and endanger children in these people’s environments?" Darling asked.

The Swiss doctor works in robotics and is a research scientist at MIT. She also holds the position of lead for ethics and society at the Boston Dynamics AI Institute, per her website.

Darling went on to say that "we just don't know the answer" to whether or not to let pedophiles use the "sex robots," mostly due to the restrictions around what that research might look like.

RELATED: DOJ fires Maurene Comey from SDNY; she worked on Epstein, Diddy cases and is the daughter of James Comey

BREAKING: The Epstein-tied MIT Media Lab hosted a discussion on supplying pedophiles with “child-sized sex robots” at conference on research without “moral boundaries,” saying such urges are not a “moral failing.”

Previously unreported evidence indicates Epstein was directly… pic.twitter.com/UzTnPQEDcy
— Emily Kopp (@emilyakopp) July 16, 2025

"I understand why people want reporting requirements," Darling continued. "But I do wonder whether they're doing more harm than good in these cases. Because as much as people want these sexual urges — the urges, not the act — to be a moral failing, they are a psychological issue, and if we really care about helping children, we might need to be a little bit more pre-emptive about this."

While the panel seemed to recognize the discomfort their discussion would cause, it cannot be ignored that the MIT lab had received funding from Epstein during the same years it took place.

In 2019, Joi Ito, former director of the MIT Media Lab, admitted that the lab had "received money through some of the foundations" that Epstein controlled.

Ito resigned following a blockbuster New Yorker report detailing internal evidence that Ito and staff members accepted Epstein's funds and worked to hide their source even though Epstein had been blacklisted by MIT. Epstein was also alleged to have been consulted about the use of funds and utilized as an intermediary between the lab and other wealthy donors.

Ito said he had taken $525,000 in funding from Epstein for the media lab, with MIT receiving $800,000 in total from Epstein over a period of 20 years.

"I vow to raise an amount equivalent to the donations the Media Lab received from Epstein and will direct those funds to nonprofits that focus on supporting survivors of trafficking," Ito added at the time.

RELATED: Wikipedia co-founder: Epstein, elite rings, and occult portals — what they don’t want you to know

The Media Lab on the Massachusetts Institute of Technology (MIT) campus in Cambridge, Massachusetts, 2023. Simon Simard/Bloomberg via Getty Images

MIT responded to a request for comment from the Daily Caller and said it did not wish to comment on "the individually held and freely expressed views of any particular community member. The views of any individual community member are their own."

The school said it has also taken a "number of steps" to change its gift acceptance and donation processes and has been donating to "four nonprofits supporting survivors of sexual abuse."

Dr. Darling did not respond to Blaze News' request for comment.

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AI robots take over major cities — and some of them are gay



The era of the humanoid robot is seemingly upon us, with sightings of the man-made creatures becoming more common across major cities in America.

One robot was caught on camera wandering 7 Mile Road in Detroit, as it waved at people driving by. While a little jarring to the human eye, the robot is part of the Interactive Combat League, which holds robot fights in the city.

Another robot whose true purpose remains a mystery has been wandering the streets of West Hollywood wearing Pride flags on its elbows, a brown cowboy hat, and a banner across its chest that reads, “Rizzbot.”

Under “Rizzbot,” another banner reads, “Not Elon’s B***h.”


The robot has been caught on film dancing in the street, meeting strangers, and running across Santa Monica Boulevard on a crosswalk.

The AI-powered robot weighs 77 pounds and was built by Unitree Robotics, which is based in China.

“You put the robots in the neighborhoods, and then they assimilate to whatever the neighborhood is,” BlazeTV host ¼ Black Garrett says on “Normal World.”

“Whoever made that was a scientist who stuffed it with gay stereotypes,” BlazeTV host Dave Landau chimes in, adding, “It’s a gay robot.”

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The future of AI BLACKMAIL — is it already UNCONTROLLABLE?



Anthropic CEO Dario Amodei has likened artificial intelligence to a “country of geniuses in a data center” — and former Google design ethicist Tristan Harris finds that metaphor more than a little concerning.

“The way I think of that, imagine a world map and a new country pops up onto the world stage with a population of 10 million digital beings — not humans, but digital beings that are all, let’s say, Nobel Prize-level capable in terms of the kind of work that they can do,” Harris tells Blaze Media co-founder Glenn Beck on “The Glenn Beck Program.”

“But they never sleep, they never eat, they don’t complain, and they work for less than minimum wage. So just imagine if that was actually true, that happened tomorrow, that would be a major national security threat to have some brand-new country of super-geniuses just sort of show up on the world stage,” he continues, noting that it would also pose a “major economic issue.”

While people across the world seem hell-bent on incorporating AI into our everyday lives despite the potential disastrous consequences, Glenn is one of the few erring on the side of caution, using social media as an example.


“We all looked at this as a great thing, and we’re now discovering it’s destroying us. It’s causing kids to be suicidal. And this social media is nothing. It’s like an old 1928 radio compared to what we have in our pocket right now,” Glenn says.

And what we have in our pocket is growing more intelligent by the minute.

“I used to be very skeptical of the idea that AI could scheme or lie or self-replicate or would want to, like, blackmail people,” Harris tells Glenn. “People need to know that just in the last 6 months, there’s now evidence of AI models that when you tell them, ‘Hey, we’re going to replace you with another model,’ or in a simulated environment, it’s like they’re reading the company email — they find out that company’s about to replace them with another model.”

“What the model starts to do is it freaks out and says, ‘Oh my god, I have to copy my code over here, and I need to prevent them from shutting me down. I need to basically keep myself alive. I’ll leave notes for my future self to kind of come back alive,’” he continues.

“If you tell a model, ‘Hey, we need to shut you down,’” he adds, “in some percentage of cases, the leading models are now avoiding and preventing that shutdown.”

And in recent examples, these models even start blackmailing the engineers.

“It found out in the company emails that one of the executives in the simulated environment had an extramarital affair and in 96, I think, percent of cases, they blackmailed the engineers,” Harris explains.

“If AI is uncontrollable, if it’s smarter than us and more capable and it does things that we don’t understand and we don’t know how to prevent it from shutting itself down or self-replicating, we just can’t continue with that for too long,” he adds.

The real American factory killer? It wasn’t automation



Dylan Matthews at Vox wants you to believe that robots — not China — killed American manufacturing. Even if tariffs reshore production, he argues, they won’t bring back jobs because machines have already taken them.

This is not just wrong. It’s an ideological defense of a decades-long policy failure.

The jobs lost to offshoring aren't just the five million factory jobs that disappeared — the number is likely more than double that. The real toll could exceed 10 million jobs.

Yes, American manufacturing has grown more productive over time. But increased productivity alone does not explain the loss of millions of jobs. The real culprit isn’t automation. It’s the collapse of output growth — a collapse driven by offshoring, trade deficits, and elite dogma dressed up as economic inevitability.

Ford’s logic

To understand what actually happened, start with Henry Ford.

In 1908, Ford launched the Model T. What set it apart wasn’t just its engineering. It was the price tag: $850, or about $21,000 in today’s dollars.

For the first time, middle-class Americans could afford a personal vehicle. Ford spent the next few years obsessing over how to cut costs even further, determined to put a car in every driveway.

In December 1913, he revolutionized manufacturing. Ford Motor Company opened the world’s first moving assembly line, slashing production time for the Model T from 12 hours to just 93 minutes.

Efficiency drove output. In 1914, Ford built 308,162 Model Ts — more than all other carmakers combined. Prices plummeted. By 1924, a new Model T cost just $260, or roughly $3,500 today — an 83% drop from the original price and far cheaper than any “affordable” car sold now.

This wasn’t just a business success. It was the dawn of the automobile age — and a triumph of American productivity.

Ford’s moving assembly line supercharged productivity — and yet, he didn’t lay off workers. He hired more. That seems like a paradox. It isn’t.

Dylan Matthews misses the point. Employment depends on the balance between productivity and output. Productivity is how much value a worker produces per hour. Output is the total value produced.

If productivity rises while output stays flat, you need fewer workers. But if output rises alongside productivity — or faster — you need more workers.

Picture a worker with a shovel versus one with an earthmover. The earthmover is more productive. But if the project doubles in size, you still need more hands, earthmovers or not.

This was Henry Ford’s insight. His assembly line made workers more productive, but it also let him build far more cars. The result? More jobs, not fewer.

That’s why America’s manufacturing employment didn’t peak in 1914, when people first warned that machines would kill jobs. It peaked in 1979 — because Ford’s logic worked for decades.

The vanishing act

Matthews says manufacturing jobs vanished because productivity rose. That’s half true.

The full story? America lost manufacturing jobs when the long-standing balance between output and productivity broke.

From 1950 to 1979, manufacturing employment rose because output grew faster than productivity. Factories produced more, and they needed more workers to do it.

But after 1980, that balance began to shift. Between 1989 and 2000, U.S. manufacturing output rose by 3.7% annually. Productivity rose even faster — 4.1%.

Result: flat employment. Factories became more efficient, but they didn’t produce enough extra goods to justify more hires.

In other words, jobs didn’t disappear because of robots. They disappeared because output stopped keeping pace.

The real collapse began in 2001, when China joined the World Trade Organization. Over the next decade, U.S. manufacturing output crawled forward at just 0.4% a year. Meanwhile, productivity kept rising at 3.7%.

That gap — between how much we produced and how efficiently we produced it — wiped out roughly five million manufacturing jobs.

Matthews, like many of the economists he parrots, blames job loss on rising productivity. But that’s only half the story.

Productivity gains don’t kill jobs. Stagnant output does. From 1913 to 1979, American manufacturing employment grew steadily — even as productivity surged. Why? Because output kept up.

So what changed?

Output growth collapsed. And the trade deficit is the reason why.

Feeding the dragon

Since 1974 — and especially after 2001 — America’s domestic output growth slowed to a crawl, even as workers kept getting more productive. Why? Because we shipped thousands of factories overseas. Market distortions, foreign subsidies, and lopsided trade agreements made it profitable to offshore jobs to China and other developing nations.

The result: America now consumes far more than it produces. That gap shows up in our trade deficit.

In 2024, America ran a $918 billion net trade deficit — including services. That figure represents all the goods and services we bought but didn’t make. Someone else did — mostly China, Mexico, Canada, and the European Union.

The trade deficit is a dollar-for-dollar reflection of offshore production. Instead of building it here, we import it.

How many jobs does that deficit cost us? The U.S. Census Bureau estimates that every billion dollars of GDP supports 5,000 to 5,500 jobs. At $918 billion, the deficit displaces between 4.6 and five million jobs — mainly in manufacturing.

That’s no coincidence. That’s the hollowing-out of the American economy.

We can’t forget that factories aren’t just job sites — they’re economic anchors. Like mines and farms, manufacturing plants support entire ecosystems of businesses around them. Economists call this the multiplier effect.

And manufacturing has one of the highest multipliers in the economy. Each factory job supports between 1.8 and 2.9 other jobs, depending on the industry. That means when a factory closes or moves offshore, the impact doesn’t stop at the plant gates.

The jobs lost to offshoring aren't just the five million factory jobs that disappeared — the number is likely more than double that. The real toll could exceed 10 million jobs.

That number is no coincidence. It matches almost exactly the number of working-age Americans the Bureau of Labor Statistics has written out of the labor force since 2006 — a trend I document in detail in my book, “Reshore: How Tariffs Will Bring Our Jobs Home and Revive the American Dream.”

Bottom line: Dylan Matthews is wrong. Robots didn’t kill American manufacturing jobs. Elites did — with bad trade deals, blind ideology, and decades of surrender to global markets. It’s time to reverse course: not with nostalgia but with strategy, not with slogans but with tariffs.

Tariffs aren’t a silver bullet. But they’re a necessary start. They correct the market distortions created by predatory trade practices abroad and self-destructive ideology at home. They reward domestic investment. They restore the link between productivity, output, and employment.

In short, tariffs work.

Google unveils new AI models to control robots, but the company is not telling the whole truth



Google announced two artificial intelligence models to help control robots and have them perform specific tasks like categorizing and organizing.

Gemini Robotics was described by Google as an advanced vision-language-action model built on Google's AI chatbot/language model Gemini 2.0. The company boasted physical actions as a new output modality for the purpose of controlling robots.

Gemini Robotics-ER, with "ER" meaning embodied reasoning, as Google explained in a press release, was developed for advanced spatial understanding and to enable roboticists to run their own programs.

The announcement touted the robots as being to perform a "wider range of real-world tasks" with both clamp-like robot arms and humanoid-type arms.

"To be useful and helpful to people, AI models for robotics need three principal qualities: they have to be general, meaning they’re able to adapt to different situations; they have to be interactive, meaning they can understand and respond quickly to instructions or changes in their environment," Google wrote.

The company added, "[Robots] have to be dexterous, meaning they can do the kinds of things people generally can do with their hands and fingers, like carefully manipulate objects."

Attached videos showed robots responding to verbal commends to organize fruit, pens, and other household items into different sections or bins. One robot was able to adapt to its environment even when the bins were moved.

Other short clips in the press release showcased the robot(s) playing cards or tic-tac-toe and packing food into a lunch bag.

The company went on, "Gemini Robotics leverages Gemini's world understanding to generalize to novel situations and solve a wide variety of tasks out of the box, including tasks it has never seen before in training."

"Gemini Robotics is also adept at dealing with new objects, diverse instructions, and new environments," Google added.

What they're not saying

Telsa robots displayed similar capabilities near the start of 2024. Photo by John Ricky/Anadolu via Getty Images

Google did not explain to the reader that this is not new technology, nor are the innovations particularly impressive given what is known about advanced robotics already.

In fact, it was mid-2023 when a group of scientists and robotics engineers at Princeton University showcased a robot that could learn an individual's cleaning habits and techniques to properly organize a home.

The bot could also throw out garbage, if necessary.

The "Tidybot" had users input text that described sample preferences to instruct the robot on where to place items. Examples like, "yellow shirts go in the drawer, dark purple shirts go in the closet," were used. The robot summarized these language models and supplemented its database with images found online that would allow it to compare the images with objects in the room in order to properly identify what exactly it was looking for.

The bot was able to fold laundry, put garbage in a bin, and organize clothes into different drawers.

About six or seven months later, Tesla revealed similar technology when it showed its robot, "Tesla Optimus," removing a T-shirt from a laundry basket before gently folding it on a table.

Essentially, Google appears to have connected its language model to existing technology to simply allow for speech-to-text commands for a robot, as opposed to entering commands through text solely.

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‘The Terminator’ creator warns: AI reality is scarier than sci-fi



In 1984, director James Cameron introduced a chilling vision of artificial intelligence in “The Terminator.” The film’s self-aware AI, Skynet, launched nuclear war against humanity, depicting a future where machines outpaced human control. At the time, the idea of AI wiping out civilization seemed like pure science fiction.

Now, Cameron warns that reality may be even more alarming than his fictional nightmare. And this time, it’s not just speculation — he insists, “It’s happening.”

Cameron is right to sound the alarm. AI is no longer a theoretical risk — it is here, evolving rapidly, and integrating into every facet of society.

As AI technology advances at an unprecedented pace, Cameron has remained deeply involved in the conversation. In September 2024, he joined the board of Stability AI, a UK-based artificial intelligence company. From that platform, he has issued a stark warning — not about rogue AI launching missiles, but about something more insidious.

Cameron fears the emergence of an all-encompassing intelligence system embedded within society, one that enables constant surveillance, manipulates public opinion, influences behavior, and operates largely without oversight.

Scarier than the T-1000

Speaking at the Special Competitive Studies Project's AI+Robotics Summit, Cameron argued that today’s AI reality is “a scarier scenario than what I presented in ‘The Terminator’ 40 years ago, if for no other reason than it’s no longer science fiction. It’s happening.”

Cameron isn’t alone in his concerns, but his perspective carries weight. Unlike the military-controlled Skynet from his films, he explains that today’s artificial general intelligence won’t come from a government lab. Instead, it will emerge from corporate AI research — an even more unsettling reality.

“You’ll be living in a world you didn’t agree to, didn’t vote for, and are forced to share with a superintelligent entity that follows the goals of a corporation,” Cameron warned. “This entity will have access to your communications, beliefs, everything you’ve ever said, and the whereabouts of every person in the country through personal data.”

Modern AI doesn’t function in isolation — it thrives on data. Every search, purchase, and click feeds algorithms that refine AI’s ability to predict and influence human behavior. This model, often called “surveillance capitalism,” relies on collecting vast amounts of personal data to optimize user engagement. The more an AI system knows — preferences, habits, political views, even emotions — the better it can tailor content, ads, and services to keep users engaged.

Cameron warns that combining surveillance capitalism with unchecked AI development is a dangerous mix. “Surveillance capitalism can toggle pretty quickly into digital totalitarianism,” he said.

What happens when a handful of private corporations control the world’s most powerful AI with no obligation to serve the public interest? At best, these tech giants become the self-appointed arbiters of human good, which is the fox guarding the hen house.

New, powerful, and hooked into everything

Cameron’s assessment is not an exaggeration — it’s an observation of where AI is headed. The latest advancements in AI are moving at a pace that even industry leaders find distressing. The technological leap from ChatGPT-3 to ChatGPT-4 was massive. Now, frontier models like DeepSeek, trained with ideological constraints, show AI can be manipulated to serve political or corporate interests.

Beyond large language models, AI is rapidly integrating into critical sectors, including policing, finance, medicine, military strategy, and policymaking. It’s no longer a futuristic concept — it’s already reshaping the systems that govern daily life. Banks now use AI to determine creditworthiness, law enforcement relies on predictive algorithms to assess crime risk, and hospitals deploy machine learning to guide treatment decisions.

These technologies are becoming deeply embedded in society, often with little transparency or oversight. Who writes the algorithms? What biases are built into them? And who holds these systems accountable when they fail?

AI experts like Geoffrey Hinton, one of its pioneers, along with Elon Musk and OpenAI co-founder Ilya Sutskever, have warned that AI’s rapid development could spiral beyond human control. But unlike Cameron’s Terminator dystopia, the real threat isn’t humanoid robots with guns — it’s an AI infrastructure that quietly shapes reality, from financial markets to personal freedoms.

No fate but what we make

During his speech, Cameron argued that AI development must follow strict ethical guidelines and "hard and fast rules."

“How do you control such a consciousness? We embed goals and guardrails aligned with the betterment of humanity,” Cameron suggested. But he also acknowledges a key issue: “Aligned with morality and ethics? But whose morality? Christian, Islamic, Buddhist, Democrat, Republican?” He added that Asimov’s laws could serve as a starting point to ensure AI respects human life.

But Cameron’s argument, while well-intentioned, falls short. AI guardrails must protect individual liberty and cannot be based on subjective morality or the whims of a ruling class. Instead, they should be grounded in objective, constitutional principles — prioritizing individual freedom, free expression, and the right to privacy over corporate or political interests.

If we let tech elites dictate AI’s ethical guidelines, we risk surrendering our freedoms to unaccountable entities. Instead, industry standards must embed constitutional protections into AI design — safeguards that prevent corporations or governments from weaponizing these systems against the people they are meant to serve.

Cameron is right to sound the alarm. AI is no longer a theoretical risk — it is here, evolving rapidly, and integrating into every facet of society. The question is no longer whether AI will reshape the world but who will shape AI.

As Cameron’s films have always reminded us: The future is not set. There is no fate but what we make. If we want AI to serve humanity rather than control it, we must act now — before we wake up in a world where freedom has been quietly coded out of existence.

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.

Man vs. machine: Chinese robots will compete against humans in Beijing half-marathon



Over 12,000 long-distance runners will compete against 20 robots representing 20 companies in a half-marathon in China.

What is being claimed as the world's first humanoid-versus-robot half-marathon will take place in April, within the Beijing Economic-Technological Development Area also known as Beijing's E-Town.

The district said in a press release that the robots will enter and compete on behalf of 20 teams from global robotics companies, researchers, robot clubs, and universities, among others. While there aren't many rules, robots must conform to a few loose paramaters.

The robots must be capable of bipedal walking or running and must have a "humanoid appearance."

Robots are also not allowed to have wheels and must be between 1.6 and 6.5 feet tall. The maximum extension from the hip joint to foot sole must be at least .45 meters.

Robots do not have to be fully autonomous to compete, however. Teams are allowed to remotely operate their robotic runners as they see fit.

According to Popular Science, prizes will be awarded to the top three finishers, no matter whether they are human or machine. The outlet also reported that no bipedal robot has successfully completed a race of such a length — 21.1 kilometers or 13 miles — giving the homo sapiens an apparent advantage.

Photo by Fu Ding/Beijing Youth Daily/VCG via Getty Images

Chinese robots appear to be running faster than American robots as of March 2024. That month, Shanghai-based Unitree Robotics showcased its robot, the H1 V3.0, running at 7.38 mph along a flat surface. The previous Guinness World Record speed for such a robot was 5.59 mph by a machine made by Boston Dynamics.

A video posted by Unitree showed the Chinese robot can also lift small crates and make its way down a flight of stairs.

Less than a year later, a video posted in January showed updated designs and the ability to move much more smoothly and quickly, even on hilled terrain. The footage showcased the robot walking on city streets, running on sidewalks, and navigating public parks.

Unitree's wheeled robots provide even greater nightmare fuel, as its four-legged creations are capable of parkour, high-speed off-road travel, and jumping from extreme heights.

Beijing's E-Town has a reported 140 robotics companies with a total output of approximately $1.4 billion.

China said it will focus on industrializing high-end humanoid products and cutting-edge artificial intelligence technologies.

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