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Artificial Intelligence

World Economic Forum pushes digital globalism that would merge the ‘online and offline’

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From LifeSiteNews

By Frank Wright

If we do not limit the freedom of reach of AI now, we will have neither liberty nor security. The digital world is already here. Who will watch whom, and according to whose rules? With the World Economic Forum, you get policed by liberal extremists.

The real-world influence of the World Economic Forum (WEF) is certainly waning – which may explain a fresh report of its push towards digital globalism.

A white paper published by the WEF last November is a roadmap for a transition from the real to the virtual world. This transition is not only about methods of governing, of course.

It means the mass migration of humanity into a virtual world.

As the document says, the World Economic Forum is calling for “global collaboration” to “redefine the norms” of a future digital state, which it calls “the metaverse.”

Merging online and offline

Titled “Shared Commitments in a Blended Reality: Advancing Governance in the Future Internet,” this agenda presumes a borderless reality for humans in which “online and offline” are merged.

As usual, there is a disturbing method in the diabolical madness of the WEF. Saying that the required technology has already arrived, it urges “aligning global standards and policies of internet governance” to moderate our increasingly digital lives.

Yet this is not about policing online speech. It is about ruling the new “blended reality.”

Mentioning mobile phones, virtual reality and the refinement of artificial intelligence in predicting and reproducing human activity, the WEF report states: “These technologies are blurring the line between online and offline lives, creating new challenges and opportunities … that require a coordinated approach from stakeholders for effective governance.”

Stakes and their holders

Yet the people holding the stakes in this online and offline game of life are not only globalists like Schwab and Soros. The vampire hunters of populism are all strong critics of globalism – the replacement of all nation states with a single world government.

It would seem that the WEF’s dream of digital globalism may be terminally interrupted by the new software running through the machinery of power.

Yet digital globalism is not the only game in town.

Amidst the welcome relief and tremendous hope sparked in the West by Trump’s “Common Sense Revolution,” there is a devil in the details of the death of the liberal order.

The algorithm of power is not going anywhere. It is here, now, and it is simply a question of how far it goes.

Digital globalism, or national digitalism?

Digital globalism may simply be swapped for national digitalism – government by algorithm in one country. Its values are not liberal, which is a change. Yet neither are the values of China, where a form of digitalism has been long established.

It is worthwhile taking a look at the community whose guidelines may rule your “online and offline” life in the absence of those of the globalists.

Here is an announcement from one globalist “datagarch,” Oracle’s Larry Ellison, one of the billionaires whose monopoly of your data enriched their lives at the expense of the capture of yours. Ellison says “citizens will be on their best behavior” with an all-pervasive AI surveillance system. 

 

Oracle’s founder CEO has said a government powered by AI could make everyone safer – because everyone would be under permanent surveillance. Comforting, isn’t it?

Ellison was named after his place of arrival in the U.S. – Ellis Island. In 2017 he donated $16 million to the Israeli army, calling Israel “our home.”

Wikipedia states, “As of January 20, 2025, he is the fourth-wealthiest person in the world, according to Bloomberg Billionaires Index, with an estimated net worth of US$188 billion, and the second wealthiest in the world according to Forbes, with an estimated net worth of $237 billion.”

In 2021, he offered Benjamin Netanyahu a “lucrative position on the board of Oracle.” That seems to partly help understand why Netanyahu, with such friends in very high places, has such an extraordinary influence on almost every single member of the U.S. Congress and Senate.

Ellison’s Oracle was named after a database he created for the CIA, in his first major programming project. In fact, “the CIA made Larry Ellison a billionaire,” as Business Insider reported.

What kind of values inspire his vision of digital governance? His biography supplies one answer:

“Ellison says that his fondness for Israel is not connected to religious sentiments but rather due to the innovative spirit of Israelis in the technology sector.”

Israel has a massive, lucrative, military-industrial complex and related software industry as revealed in “The Palestine Laboratory: How Israel exported its occupation to the world“ by Antony Loewenstein, one of many Israeli Jews who have become highly critical of the surveillance industry.

Israel’s “innovation” includes the use of predictive AI to identify, target and kill people, and systems like Pegasus – which can enter literally any phone or computer undetected and read everything. It is an astonishingly powerful program that sells for a high price and earns Israel a lot of income.

The company which makes the “no click spyware” Pegasus is called NSO. This Israeli company was sanctioned by the U.S. in 2021 to prevent its undetectable intrusion into phones and computers being used on Americans by any company, or agency, which buys it.

On January 10, an Israeli report said that Donald Trump’s Gaza ceasefire deal could see these sanctions lifted.

Do you buy the idea that this will make you safe? Do you think AI will be effective? Ellison thinks so. He says AI can produce “new mRNA vaccines in 48 hours to cure cancer.”

Do you want to live in his world? 

Buyer beware

Buyer – beware. The algorithm of digital power is here, and it is powered by data mined from your life.

People like Oracle’s Ellison, Palantir’s Alex Karp, Facebook’s Mark Zuckerberg, and Google’s Larry Page and Sergey Brin are all data miners. So is X’s Elon Musk – who is the only one of the data oligarchs warning you that AI needs to be controlled by humans – and not the other way around.

 

Two forms of digital tyranny

So what are the dangers? Under the “metaverse” proposed by the WEF, your life can be partnered with a “digital twin.”

This is the symbiotic merger of human with machine presented as the vision of our future by Klaus Schwab and the digital globalists.

Of course, your online life can be suspended or even ended if you violate the community guidelines. These rules are not written by people who agree with you.

Some people you may agree with are proposing quite the reverse. Under the algorithm of the “national digigarchy” – you will be watched, recorded, filed, and assessed for the potential commission of future crimes. You will be free to say what you like online, but depending on what you say, maybe only the algorithm will see you.

And what it sees it will never forget.

Limiting the reach of AI

If we do not limit the freedom of reach of artificial intelligence now, we will have neither liberty nor security.

The digital world is already here. Who will watch whom, and according to whose rules? With the World Economic Forum, you get policed by liberal extremists. You will be free to agree with Net Zero, degeneracy, denationalization, and a diet of meat-like treats supplied to the wipe-clean mausoleum in which you will cleanly and efficiently live.

Yet the alternative emerging also says that the rule of machines will make everything safe and effective.

Safe and effective AI?

Alex Karp sells his all-seeing Palantir as the only guarantee of public safety. He also says your secrets are safe with him – because he is “a deviant” who might like to take drugs or have an affair.

After years of crisis manufactured by policy, and with the West sick of liberal insanity, this moment of tremendous relief contains a serious threat. More people than ever have the number of the globalists, and it is not a number most faithful Christians would want to call.

People generally have seen what the WEF is selling, and they are not buying it. The danger presented by the likes of Schwab is now out in the open, shouting the quiet part out loud.

As liberal-globalist bureaucracies like these become more isolated in the Trump Revolution, they will fight for their lives. In doing so, they are displaying their true intentions. This is the only thing they can do to survive.

Everyone will see what is really on offer, few will want this devil’s bargain, and so the business model will go bust.

Yet this is not the only dangerous game being played with your life.

Beware the specter at the feast

The data miners whose programs refine the algorithm of power are selling you a new digital reality. They are telling you that it will make you safe – because everyone will be watched, forever, by machines which have no values and no heart at all, whether liberal or otherwise.

If we are not watching out, no one will notice that the new algorithm of digital power has simply been limited to the West.

In Shakespeare’s play it was the guilty man, Macbeth, who saw the specter at the feast he held for his coronation.

The ghost in the machine is not dead. The danger is that the innocent may not see it or may foolishly not want to see it. Yet it sees you. This is the algorithm of power, and for now – but not for long – we still have the power to say who it watches – and where.

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Artificial Intelligence

UK Police Chief Hails Facial Recognition, Outlines Drone and AI Policing Plans

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Any face in the crowd can be caught in the dragnet of a digital police state.

The steady spread of facial recognition technology onto Britain’s streets is drawing alarm from those who see it as a step toward mass surveillance, even as police leaders celebrate it as a powerful new weapon against crime.
Live Facial Recognition (LFR) is a system that scans people’s faces in public spaces and compares them against watchlists.
Civil liberties groups warn it normalizes biometric monitoring of ordinary citizens, while the Metropolitan Police insist it is already producing results.
Britain’s senior police leadership is promoting these biometric and artificial intelligence systems as central to the future of policing, with commissioner Sir Mark Rowley arguing that such tools are already transforming the way the Met operates.
Speaking to the TechUK trade association, Rowley described Live Facial Recognition (LFR) as a “game-changing tool” and pointed to more than 700 arrests linked to its use so far this year.
Camera vans stationed on streets have been deployed to flag people wanted for serious crimes or those breaking license conditions.
Rowley highlighted a recent deployment at the Notting Hill Carnival, where he joined officers using LFR.
“Every officer I spoke to was energized by the potential,” he said to The Sun. According to the commissioner, the weekend brought 61 arrests, including individuals sought in cases of serious violence and offenses against women and girls.
Rowley claimed that the technology played “a critical role” in making the carnival safer.
Beyond facial recognition, Rowley spoke of expanding the Met’s reliance on drones. “From searching for missing people, to arriving quickly at serious traffic incidents, or replacing the expensive and noisy helicopter at large public events,” he said, “done well, drones will be another tool to help officers make faster, more informed decisions on the ground.”
The commissioner also promoted the V100 program, which draws on data analysis to focus resources on those considered the highest risk to women.
He said this initiative has already led to the conviction of more than 160 offenders he described as “the most prolific and predatory” in London.
Artificial Intelligence is being tested in other areas too, particularly to review CCTV footage.
Rowley noted the labour involved in manually tracing suspects through crowded areas. “Take Oxford Street, with 27 junctions—a trawl to identify a suspect’s route can take two days,” he explained.
“Now imagine telling AI to find clips of a male wearing a red baseball cap between X and Y hours, and getting results in hours. That’s game-changing.”
While the Met portrays these systems as advances in crime prevention, their deployment raises questions about surveillance creeping deeper into everyday life.
Expansions in facial recognition, drone monitoring, and algorithmic analysis are often introduced as matters of efficiency and safety, but they risk building an infrastructure of constant observation where privacy rights are gradually eroded.
Shaun Thompson’s case has already been cited by campaigners as evidence of the risks that come with rolling out facial recognition on public streets.
He was mistakenly identified by the technology, stopped, and treated as though he were a wanted suspect before the error was realized.
Incidents like this highlight the danger of false matches and the lack of safeguards around biometric surveillance.
For ordinary people, the impact is clear: even if you have done nothing wrong, you can still find yourself pulled into a system that treats you as guilty first and asks questions later.
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Artificial Intelligence

What are data centers and why do they matter?

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Data centers may not be visible to most Americans, but they are shaping everything from electricity use to how communities grow.

These facilities house the servers that process nearly all digital activity, from online shopping and streaming to banking and health care. As the backbone of artificial intelligence and cloud computing, they have expanded at a pace few other industries can match.

Research from Synergy Research Group shows the number of hyperscale data centers worldwide doubled in just five years, reaching 1,136 by the end of 2024. The U.S. now accounts for 54% of that total capacity, more than China and Europe combined. Northern Virginia and the Beijing metro area together make up about 20% of the global market.

John Dinsdale, chief analyst with Synergy Research, said in an email to The Center Square that a simple way to describe data centers is to think of them as part of a food chain.

“At the bottom of the food chain, you’re sitting at your desk with a desktop PC or laptop. All the computing power is on your device,” Dinsdale said.

The next step up is a small office server room, which provides shared storage and applications for employees.

“Next up the chain, you can go two different directions (or use a mix),” he explained.

One option is a colocation data center, where companies lease space instead of running their own physical facilities. That model can support a multitude of customers from a single operator, such as Equinix.

The other option is to move to public cloud computing.

“You buy access to computing resources only when you need them, and you only pay for what you use,” Dinsdale said.

Providers like Amazon, Microsoft and Google run massive data centers that support tens of thousands of servers. From the customer perspective, it may feel like having a private system, but in reality, these servers are shared resources supporting many organizations.

Cloud providers now operate at a scale that was “unthinkable ten years ago” and are referred to in the industry as hyperscale, Dinsdale added. These global networks of data centers support millions of customers and users.

“The advent of AI is pushing those data centers to the next level — way more sophisticated technology, and data centers that need to become a lot more powerful,” he said.

What is a data center?

At its simplest, a data center is a secure building filled with rows of servers that store, process and move information across the internet. Almost every digital action passes through them.

“A data center is like a library of server computers that both stores and processes a lot of internet and cloud data we use every day,” said Dr. Ali Mehrizi-Sani, director of the Power and Energy Center at Virginia Tech told The Center Square. “Imagine having thousands of high-performance computers working nonstop doing heavy calculations with their fans on. That will need a lot of power.”

Some are small enough to serve a hospital or university. Others, known as hyperscale facilities, belong to companies such as Amazon, Microsoft, Google and Meta, with footprints large enough to be measured in megawatts of electricity use.

How big is the industry?

Synergy’s analysis shows how dominant the U.S. has become. Fourteen of the world’s top 20 hyperscale data center markets are in the U.S., including Northern Virginia, Dallas and Silicon Valley. Other global hotspots include Greater Beijing, Dublin and Singapore.

In 2024 alone, 137 new hyperscale centers came online, continuing a steady pace of growth. Average facility size is also climbing. Synergy forecasts that total capacity could double again in less than four years, with 130 to 140 new hyperscale centers added annually.

The world’s largest operators are American technology giants. Amazon, Microsoft and Google together account for 59% of hyperscale capacity, followed by Meta, Apple, and companies such as Alibaba, Tencent and ByteDance.

How much power do they use?

Large data centers run by the top firms typically require 30 to 100 megawatts of power. To put that into perspective, one megawatt can power about 750 homes. That means a 50-70 megawatt facility consumes as much electricity as a small city.

“Building one data center is like adding an entirely new town to the grid,” Mehrizi-Sani said. “In fact, in Virginia, data centers already consume about 25% of the electricity in the state. In the United States, that number is about 3 to 4%.”

That demand requires extensive coordination with utilities.

“Data centers connect to the power grid much like other large loads, like factories and even towns do,” Mehrizi-Sani said. “Because they need so much electric power, utilities have to upgrade substations, lines and transformers to support them. Utilities also have to upgrade their control and protection equipment to accommodate the consumption of data centers.”

If not planned carefully, he added, new facilities can strain local power delivery and generation capacity. That is why every major project must undergo engineering reviews before connecting to the grid.

Why now?

The rapid rise of AI has supercharged an already fast-growing sector. Training models and running cloud services requires enormous computing power, which means facilities are being built faster and larger.

“AI and cloud drive the need to data centers,” Mehrizi-Sani said. “Training AI models and running cloud services require massive computing power, which means new data centers have to be built faster and larger than before.”

Dinsdale noted in a report that the industry’s scale has shifted sharply.

“The big difference now is the increased scale of growth. Historically the average size of new data centers was increasing gradually, but this trend has become supercharged in the last few quarters as companies build out AI-oriented infrastructure,” he said.

Why certain states lead the market

Different states and regions offer different advantages. According to a July 2025 report by Synergy Energy Group, Virginia became the leading hub because of relatively low electricity costs when the industry was expanding, availability of land in the early years and proximity to federal agencies and contractors.

Texas and California are also major markets, for reasons ranging from abundant energy to the presence of technology companies.

Internationally, Synergy’s analysis shows that China and Europe each account for about a third of the remaining capacity. Analysts expect growth to spread to other U.S. regions, including the South and Midwest, while markets in India, Australia, Spain and Saudi Arabia increase their share globally.

What is at stake?

For most Americans, data centers are invisible but indispensable. Almost everything digital depends on them.

“Streaming movies, online banking, virtual meetings and classes, weather forecasts, navigation apps, social media like Instagram, online storage and even some healthcare services” all run through data centers, Mehrizi-Sani said.

Synergy’s forecast suggests the trend is unlikely to slow.

“It is also very clear that the United States will continue to dwarf all other countries and regions as the main home for hyperscale infrastructure,” Dinsdale said.

This story is the first in a Center Square series examining how data centers are reshaping electricity demand, costs, tax incentives, the environment and national security.

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