Peter Thiel, Palantir, and the Quiet Rise of AI Surveillance

A startup backed by billionaire tech investor Peter Thiel wants to create what is essentially an AI tribunal for journalists. And somehow, that sentence is now real.

The company is called Objection.ai. The idea is simple enough on paper. If somebody believes a journalist or media outlet has published false claims about them, they can pay to trigger an investigation. Former intelligence and law enforcement figures reportedly review the case alongside AI systems, before the journalist is assigned some form of public credibility score. An AI court for reporters.

Supporters say it is about accountability. Personally, I think it sounds like the beginning of a Black Mirror episode, and to be fair, there is a legitimate argument underneath all this. Media organisations absolutely do get things wrong. Sometimes badly. Sometimes destructively. Sometimes in ways that genuinely ruin lives.

One of the most famous examples was the Hulk Hogan sex tape scandal. Years ago, Gawker published parts of a private sex tape involving the wrestler. Nobody wanted to see that. It was not in the public interest. It was not exposing corruption. It was not uncovering abuse. It was celebrity humiliation dressed up as journalism.

The lawsuit that followed eventually destroyed Gawker Media financially, and that matters because Peter Thiel secretly funded it, but why did he do so?

Back in 2007, Gawker had published an article outing Thiel before he had publicly spoken about his sexuality. Again, this was not in the public interest, Thiel absolutely hated them after that. Years later, when Hulk Hogan sued Gawker over the tape, Thiel quietly backed the case financially from behind the scenes.

So, when people now see a Peter Thiel backed AI system designed to investigate journalists, alarm bells start ringing very quickly because critics argue this starts looking less like accountability and more like a scalable version of the intimidation tactics already seen through SLAPP lawsuits in Britain.

Strategic lawsuits against public participation, or SLAPPs, became such a problem in the UK that anti SLAPP legislation was introduced in 2023 to help protect journalists investigating economic crime and corruption. The concern was that wealthy individuals and corporations were increasingly using legal pressure, massive costs, and endless litigation not necessarily to win cases, but to exhaust reporters into silence.

And honestly, Britain's libel culture has already shown how dangerous that environment can become.

For years, some journalists feared investigating powerful figures too aggressively because the legal and financial risks were enormous. Jimmy Savile is probably one of the darkest examples of that wider culture. Rumours, allegations, whispers, they existed for years. But very few people were willing to push hard publicly against somebody with that level of power, influence, wealth, and institutional protection. Even Louis Theroux later spoke about how difficult it was to fully investigate Savile at the time.

That is the danger people see with systems like Objection.ai. Once journalism becomes something constantly threatened by legal or algorithmic retaliation, eventually the people still willing to investigate start disappearing.

And then what society are we left with?

Who is Peter Thiel? Why should you care?

The reason Peter Thiel's involvement matters so much is because he is not just another billionaire investor.

Thiel is one of the most influential figures in Silicon Valley. He co-founded PayPal alongside Elon Musk and others in the late 1990s, became Facebook's first major outside investor, and later co-founded the surveillance and data analytics company Palantir after 9/11.

Politically, he has become deeply connected to the American New Right. He backed Donald Trump in 2016 long before most of Silicon Valley would publicly go near him. He also financially backed JD Vance before Vance entered politics and later became Vice President.

Thiel has spent years promoting anti-establishment ideas, questioning democracy, collaborating with figures like Curtis Yarvin who believes that America should be ruled one dynasty propped up by a court of Silicon Valley CEO's, and that idea has turned out brilliantly recently considering a CEO rhymes with Tusk.

If you need to know more about Peter Thiel's character, one Washington Post headline about him read:

"Inside billionaire Peter Thiel's private 'Antichrist' lectures."

Sounds like a lovely relaxed bloke.

And then there is Palantir, even the name tells you something.

In Lord of the Rings, the palantíri are magical seeing stones used to observe events across huge distances. Over time, they become associated with surveillance, manipulation, corruption, and centralised power. Silicon Valley apparently looked at that and thought: perfect branding, absolutely no red flags there whatsoever.

Palantir specialises in something called data fusion. It sounds boring until you realise what it means.

Imagine combining CCTV footage, facial recognition, phone metadata, vehicle tracking, financial records, social media activity, immigration databases, satellite imagery, police intelligence, and drone footage into one giant AI powered analytical system. That is essentially the world Palantir operates in. If you need help visualising this, try thinking of Charlie's detective board in 'It's always sunny in Philadelphia'.

The company has worked with US intelligence agencies, military operations, immigration enforcement systems, police departments, and governments around the world. Supporters argue this technology genuinely helps prevent terrorism, organised crime, cyber-attacks, trafficking, and battlefield deaths.

Others look at it and see the rough draft of a future surveillance state. Honestly, both sides probably think they are the reasonable ones.

In Ukraine, Palantir software has reportedly been used to analyse battlefield intelligence, logistics, and satellite imagery following Russia's invasion. Supporters point to this as a clear example of AI helping defend a country under attack.

And to be fair, if your country gets invaded, you are probably not turning around saying:

"Sorry, ethically we're going to have to do this one manually."

But wartime technology rarely stays confined to the battlefield forever.

Because the same systems capable of mapping troop movements can also map civilian populations. The same AI capable of identifying military targets can also identify protesters, journalists, activists, migrants, and political dissidents. The same AI has been used by ICE to carry out deadly deportation raids, the same AI is starting to be used by the Met police and in the NHS. Palantir is already here, we need to pay attention.

And if your still thinking is Palantir really that bad? Look to Gaza

Israel has become one of the most technologically advanced surveillance states in the world, with extensive facial recognition systems, predictive analytics, mass data integration, and AI assisted military operations. Human rights organisations have repeatedly raised concerns about how these systems affect Palestinians and civilian life.

Governments almost always justify these systems the same way:

security,

counter terrorism,

national defence.

And to be fair, some of those threats are very real. That is what makes this conversation uncomfortable.

Because history also shows surveillance powers almost never shrink once they exist.

After 9/11, the Patriot Act massively expanded surveillance powers in the United States in the name of counter terrorism. Years later, Edward Snowden's leaks exposed the sheer scale of data collection happening through American intelligence infrastructure.

The concern now is what happens when that infrastructure merges fully with modern AI.

Because AI changes the scale completely.

Surveillance is no longer just about storing information. It becomes about analysing populations in real time.

And that is where this becomes relevant to you very quickly.

The Ireland angle

Take the recent farmer protests in Ireland.

There is no evidence Palantir was involved. But imagine a future where systems like this are connected into ANPR cameras, facial recognition networks, phone metadata, financial systems, and social media monitoring during large demonstrations.

Could authorities identify attendees? Probably.

Could they map communication networks, travel patterns, donation flows, and organisers? Very likely.

And maybe some people hear that and think:

good.

Others hear it and start wondering what happens when those same systems eventually get turned towards journalists, whistleblowers, activists, opposition movements, or ordinary political dissent. Every surveillance system in history is introduced for the worst people imaginable, but then eventually the definition expands.

And perhaps the strangest part of all this is how normal it is starting to sound.

AI credibility scoring.

Predictive policing.

Mass behavioural analysis.

Algorithmic surveillance.

All increasingly presented not as massive political questions, but as sleek startup products with minimalist branding and investor decks.

The technology is already here.

The real question is whether democratic societies still have meaningful control have once this infrastructure becomes impossible to separate from everyday life.