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Inside Palantir. The Secret Software Running the World
Inside Palantir. The Secret Software Running the World
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0:00
If one company pulled the plug tonight, hospitals would fail, supply chains would freeze,
0:05
and military operations could go dark. It’s not Google. Or Microsoft.
0:09
It’s Palantir Technologies. While everyone was distracted
0:12
by ChatGPT writing essays and emails, Palantir became the hidden operating
0:17
system behind the U.S. military, the UK’s NHS, and critical infrastructure across the West.
0:24
People might think Palantir is just a creepy data company.
0:27
It’s not. Palantir doesn’t want your
0:30
data. It wants to run the real world. And the terrifying part…
0:34
It already does. Chapter 1 – The 48-Hour Collapse
0:39
It might sound dramatic, but Palantir has the ability to cripple nations.
0:43
In the UK, Palantir is woven into the very fabric of the country’s public healthcare
0:47
infrastructure. If they pulled their software, hospital administrators lose
0:51
access to critical emergency systems that allow them to control the flow of patients.
0:56
Clinics would lose their ability to predict risk, prioritize patients,
0:59
and move people through care fast enough to save lives. Staff would be forced to fall
1:04
back on slower electronic health record systems as waiting rooms filled and pressure mounted.
1:09
Meanwhile, major shipping ports and logistics hubs across the world would begin to choke.
1:14
Essential goods, like groceries, would face massive delays. Routing optimization would
1:18
break down, causing global chaos. Even in active combat zones,
1:22
the effects would be felt. Tactical intelligence streams would
1:25
freeze, leaving front-line commanders blind to incoming threats. They would
1:29
be unable to plan an effective response. People’s lives would be in immediate danger.
1:34
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This is just a taste of how far Palantir’s tendrils spread.
3:28
It underscores the unprecedented level of power and influence this company has
3:32
amassed, behind the scenes. Because so many people still
3:35
misunderstand what this company truly is. They think it’s some sort of rogue data broker.
3:41
A shadowy entity lurking in the background of the internet, vacuuming up private
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information and selling it to the highest bidder. But that’s not what makes Palantir dangerous.
3:50
Palantir is, in fact, much more of an interpreter than a collector.
3:53
It’s not in the business of owning, storing, harvesting,
3:56
or even monetizing consumer data in the traditional sense. Instead,
4:00
it builds the structural pipelines, algorithmic engines, and advanced user interfaces that allow
4:06
businesses to understand the vast and complicated databases they collate. That
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matters more than you might think, because we live in an increasingly data-oriented world.
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One that has passed a critical threshold… the ‘Complexity Point of No Return.’
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The systems that modern society relies on to keep billions of people alive have become so complex
4:27
that we can no longer manage them alone. There’s simply too much data to deal with.
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That’s the vacuum Palantir has stepped into. Sure, it doesn’t own that data, but it does
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own the software that makes it readable, manageable, and useful.
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It built something most governments and corporations
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realized they couldn’t function without… A system capable of making sense of chaos.
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This, in turn, helped it become one of the most powerful companies on the
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planet. And it all began with one of the worst intelligence failures of all time.
4:57
Chapter 2 – The 9/11 Ghost To understand how this invisible system
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embedded itself deep inside the Western world’s infrastructure, we have to go back to one of the
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darkest days in modern history. September 11, 2001.
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The day of the deadliest ever terror attack, when almost 3,000 lives were lost.
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In the wake of the World Trade Center’s collapse, one all-important question
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echoed throughout the halls of newsrooms, government offices, and intelligence agencies:
5:24
could the attack have been prevented? U.S. intelligence agencies had all the
5:29
data it needed to figure out exactly what the terrorists had planned. In the days and weeks
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leading up to the attack, the NSA had intercepted communications involving known operatives. The
5:39
FBI had field notes about suspicious individuals attending flight schools. The CIA had obtained
5:45
numerous pieces of intelligence that effectively laid out the entire plot.
5:49
They knew terrorists were considering using planes as weapons. They knew Osama bin Laden was planning
5:54
a massive attack. And intelligence agencies had even identified some of the future hijackers
6:00
weeks before 9/11 happened. The clues were all there.
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But they couldn’t connect the dots. There were too many.
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Analysts at the FBI could see one piece. The CIA saw another. Nobody was able to put
6:12
everything together and understand the magnitude of what was about to happen.
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Until it was too late. The failure wasn’t down to a
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lack of intelligence, but a lack of integration. If the various agencies’ systems had been better
6:24
connected, thousands of lives might have been saved. That sort of thing couldn’t be allowed to
6:29
happen again. A solution had to be found. Enter, Palantir.
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Founded by Alex Karp, Peter Thiel, and a small team of engineers, the company set out
6:37
to create a system that could pull fragmented signals into a single environment. A system
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that could integrate enormous amounts of data, from different sources into a single platform.
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Users would have a God-like view of whatever they were analyzing.
6:51
All of a sudden, spotting patterns and mapping networks was easier than it had ever been. But
6:56
catching terrorists was just the beta test. The real breakthrough was figuring out how
7:01
to make a computer understand the physical world. Chapter 3 – The Digital Twin: What Is an Ontology?
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Behind Palantir Technologies’s rise is a deceptively simple idea called the ‘Ontology.’
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And to understand why it matters, you first need to understand the corporate world’s favorite
7:18
solution to overwhelming information… The Data lake.
7:22
Aptly named, it’s like a vast digital reservoir where companies can effectively dump all their
7:27
data. It doesn’t matter where it comes from, what format it’s in, or whether it’s ‘structured’ or
7:32
‘unstructured’. It all goes into the lake. That can include everything from server logs
7:37
to social media data, images, videos, text files, financial databases, and much more.
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That comes with obvious limitations. Data lakes are great for storing massive amounts
7:47
of information. But the moment you actually try to use that data, everything starts to break down.
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Because most data lakes eventually become data swamps
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They’re murky and messy, made up of millions of rows of text and numbers,
8:01
but without any explanation of what those symbols mean.
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Palantir wanted to change that. So it came up with the Ontology.
8:08
It’s a digital twin or clone of a company’s operations. All of the company’s disconnected
8:13
data points are organized into specific categories of objects, actions, properties, and links.
8:18
While data lakes collate information into endless, incomprehensible rows of text and numbers,
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the Ontology organizes it into real-world terms that people can actually understand. When a user
8:28
logs into Palantir’s interface, they don’t see dense spreadsheets or lines of abstract code.
8:34
They see intuitive visual ecosystems of interconnected nodes.
8:38
A hospital administrator might see objects labeled ‘Bed’ or ‘Patient,’ with links
8:43
connecting them together. It helps them visualize patients moving through their facilities and feel
8:48
more in control of their operations. A military commander will see labels
8:52
like ‘Target,’ ‘Drone,’ and ‘Munitions,’ making it much easier for them to plan their
8:56
next steps based on real battlefield data. In short, the Ontology brings data to life.
9:01
It gives it meaning, making it easier to understand and far more valuable for
9:06
the people and entities that need it. This is why Palantir’s own executives
9:10
have described the company’s platforms as operating systems. It’s not something you
9:14
use on top of your systems, but something that sits underneath everything else, connecting
9:19
it all together. Everything gets stitched together into a single live model of reality.
9:24
This military-grade logic was theoretical for the civilian world.
9:27
That was until a global catastrophe forced the private sector to adopt it.
9:32
Chapter 4 – Operation Warp Speed: The Civilian Proof
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Today, Palantir is one of the biggest businesses in the world.
9:39
But for the first decade of its operations, very few people had even heard of the company.
9:44
It mainly existed in the classified sector, where it was seen as a specialized tool with
9:48
a specific purpose: helping military intelligence and counter-terrorism
9:52
agencies find threats and prevent tragedies. In 2013, the company’s client list was short,
9:58
but stacked with some of the most powerful agencies in the world: The NSA. FBI. CIA.
10:04
U.S. Air Force. Marine Corps. Even West Point. Then came another pivotal moment in modern
10:09
history that would shape the future of Palantir and the entire world as
10:12
we know it: the COVID-19 global pandemic As a deadly new virus swept across the planet,
10:17
the United States government was faced with one of the most complex logistical
10:21
challenges of all time: Operation Warp Speed. The objective was to distribute literally hundreds
10:27
of millions of doses of the highly volatile and temperature-sensitive COVID-19 vaccine.
10:33
It’s impossible to overstate the enormity of this challenge or the quantity of data
10:37
involved. The vaccines had to move at the right times to the right places and reach
10:42
the people who needed them the most. Much of that data was spread out across
10:46
systems and silos that weren’t just separate, but historically incompatible with one another.
10:52
But Palantir provided a solution: Tiberius. Designed specifically for the US Department
10:57
of Health and Human Services (HHS) for managing the logistics and distribution of
11:01
the COVID-19 vaccines, Tiberius integrated data feeds from 50 states, 8 territories,
11:07
and thousands of private pharmacies. It was effectively responsible for
11:10
merging 50 different jigsaw puzzles into a single image, all in real-time.
11:16
This was the moment of truth for Palantir. Its time to shine and prove that it wasn’t
11:20
merely for military applications, but could also deliver unprecedented
11:24
value to the civilian economy, as well. The company passed with flying colors.
11:29
Tiberius did exactly what it set out to do, combining public health, demographic,
11:34
and inventory data from numerous agencies, states, and private partners. It provided the
11:39
necessary insight and tools for jurisdictions to track shipments, prevent bottlenecks,
11:43
and organize their allocations of the vaccine. It tracked every vial from the production
11:48
plant to the patient’s arm, overseeing the distribution of nearly a billion doses in total.
11:53
This was just the start of Palantir’s hot streak. While Tiberius proved the company’s software could
11:59
save lives at scale, its next deployment proved it could also take them with unprecedented speed.
12:05
Chapter 5 – The 3-Minute Kill Chain Scouts identify a potential enemy target. Drones
12:11
are dispatched to confirm the target’s identity and pinpoint its exact location. They monitor
12:16
its movement in real-time, while appropriate armaments are selected to take the target out.
12:21
Command issues the order, and the chosen weapon is fired.
12:24
The target is dead. This is an example of the
12:26
kill chain. The sequence of events that make up a standard military strike. In the past,
12:31
those events could take hours or even days to play out. Those relatively lengthy time frames
12:36
were largely down to data-related issues. It took time for information to travel between systems and
12:41
people, which delayed decisions. It gave targets time to escape or disappear from radar screens.
12:47
But on the battlefields of Eastern Europe, the kill chain timeline has been dramatically reduced.
12:52
Because of Palantir. The Russian invasion of Ukraine presented
12:55
Palantir with an opportunity that aligned with its original military-oriented ambitions.
13:00
Ukraine was a much smaller country with a much weaker army than its opponent. In a conventional
13:05
conflict, experts estimated it had almost 0% chance of success. The only way it was going
13:10
to survive, let alone have any chance of winning the war, was by rewriting the rules of engagement.
13:16
Palantir made that possible. It gave Kyiv software that allowed it
13:20
to reduce the kill chain to less than 3 minutes. The entire loop of identifying and eliminating
13:25
an enemy asset now occurs faster than the time it takes to microwave a frozen meal.
13:30
The way it does this is, in many ways, similar to how it was used for Operation Warp Speed.
13:35
Palantir’s platform automatically, receives, processes, and unifies data from a diverse
13:39
range of military sources. It can drone feeds, thermal sensors, encrypted radio communications,
13:45
and satellite images. The system is constantly collating, centralizing and automatically
13:50
analyzing that data. It then helps operators identify targets, highlight anomalies, and
13:55
decide on the most appropriate actions to attack. It does this while keeping in mind an array of
14:00
additional factors, such as real-time weather conditions and ammunition inventory levels.
14:05
It’s like an all-in-one military mission control system. And it does this without
14:09
ever fully taking over the kill chain process. That’s an important distinction. People have
14:14
long feared that AI is destined to replace human decision-makers in the military. It
14:19
will usher in a new era of warfare in which AI agents are battling it out with one another.
14:24
In reality, Palantir’s platform is more of a ‘human in the loop’ system. The AI’s role is
14:28
to drown out the noise of excess information, feeding humans the precise data points to make
14:33
1,000 informed decisions per hour, rather than 10. But this type of 'war-speed' decision-making
14:39
was never going to stay exclusively on the battlefield.
14:42
Corporations wanted that exact same power over their markets.
14:46
Chapter 6 – The Corporate Nervous System By this point, Palantir’s platform wasn’t
14:50
merely a pipe dream or potential success. It was a proven solution, with an impressive
14:55
track record of successes in both defense and national crisis management.
14:59
The only question left was where it would be deployed next. The answer soon appeared.
15:04
The retail sector. Pivoting to the private sector,
15:06
Palantir extended the same predictive, operational logic technology into the day-to-day workflows of
15:12
Coles, a major Australian supermarket chaim. Holding a 27% market share, this is one of the
15:18
biggest names in the Australian grocery market. Its executives intended to cement the firm’s
15:23
status by incorporating Palantir’s technology to streamline workforce and inventory management.
15:28
That’s exactly what happened. Palantir’s platform now processes 10 billion
15:33
rows of data on a daily basis across over 840 Coles stores. To put that into perspective,
15:39
that’s more than enough data points to give every single person on the planet their very
15:43
own personalized shopping list. Every day.
15:46
By combining historical data, like past sales trends and purchasing patterns, with
15:50
live operational information, Palantir’s program lets store managers react in real time. Staffing
15:55
shifts get adjusted. Deliveries get rerouted and optimized. It dictates how a store runs, moment by
16:01
moment, right down to the smallest detail. But the company didn’t stop there.
16:05
It continued to spread its roots across the globe, seeking out new opportunities and
16:10
additional industries to expand into. In the United Kingdom, Palantir’s
16:13
technology was rolled out throughout the NHS to deal with backlogs and streamline
16:18
patient waiting lists. It consolidated patient records and other information,
16:22
like consultant schedules and operating room availability, into a single, unified engine.
16:27
As a result, the Chelsea and Westminster NHS Trust subsequently reported a 28% reduction in inpatient
16:34
waiting lists after switching to Palantir Foundry. That’s the equivalent of shrinking a line of
16:40
10,000 waiting people down to just 7,200. It’s an impressive statistic, and one
16:46
that Palantir has since highlighted as a proven metric of its platform’s impact.
16:50
However, the British Medical Journal (BMJ) has since questioned this figure’s validity.
16:54
It raised the question of whether this reduction was entirely down to Palantir
16:59
or the result of a broader range of factors, like post-pandemic resets.
17:03
Either way, the core structural trend is clear to see. From grocery stores to hospitals,
17:08
more and more industries and institutions are embracing Palantir’s predictive policing logic.
17:13
And when that happens – when supermarkets and clinics plug
17:17
their entire existence into Palantir's brain - a new, permanent problem emerges.
17:22
Chapter 7 – The Ontology Trap The reason Palantir’s platform
17:26
is able to roll out so swiftly and seamlessly comes down to something called the Artificial
17:30
Intelligence Platform (AIP) Bootcamp. In the past, selling large-scale enterprise
17:36
software to Fortune 500 companies or nationwide organizations was a long and drawn-out process.
17:41
It could involve sales cycles lasting anywhere from 6 to 9 months. There were endless marketing
17:47
meetings, sales presentations, technical consultations, security reviews, and more.
17:51
Through its AIP Bootcamps, Palantir managed to condense that process down to 5 days.
17:56
Here’s how it works. Palantir invites an organization’s engineers
18:00
and executives into an intensive 5-day integration program. During that period, the organization’s
18:05
data is gathered from an array of fragmented streams and into the singular AIP platform.
18:11
Palantir’s software then constructs a working, fully functional ontology of the business
18:15
by the end of the week. The client can walk out the door with a customized and entirely
18:20
operational AI interface that can seemingly solve problems they’ve been struggling with for years.
18:25
It’s hardly surprising, then, that so many companies finish their bootcamps believing they’ve
18:29
made the smartest investments for their futures. But this ultra-rapid deployment cycle
18:34
conceals a secret trap. The moment an institution
18:37
agrees to map its workflows, teams, and logistics into Palantir’s ontology layer,
18:42
something subtle happens. It stops being just another external tool and starts becoming
18:47
the structure everything else is built on. From that point on, the business is effectively
18:52
locked into the Palantir ecosystem for good. Any workflows, AI models,
18:56
or executive decisions it makes or deploys will be built on top of the ontology itself.
19:02
So, let’s say that a company decides it wants to terminate its contract with Palantir a few months
19:07
down the line. It can’t just export its data and walk away, because even though Palantir doesn’t
19:12
own that data, it owns the logic, the context, and the connections that make it make sense.
19:18
It operates the vast data governance system that the company has come to rely on. Migrating away
19:24
from that would effectively be like trying to remove someone’s entire central nervous system.
19:28
In short, Palantir has created a system in which it can control the operations of the
19:33
world’s most powerful institutions. And why are we allowing one
19:37
company to hold this much power? Because we no longer have a choice.
19:42
Chapter 8 – The Complexity Gap (The Root Cause) Some companies rise to the top of the rankings
19:47
through a mixture of smart marketing, aggressive sales tactics, or even political favoritism.
19:52
And while Palantir benefited from aggressive Washington lobbying and early political alliances,
19:57
the deeper reason behind its rise isn’t political at all. It’s down to a problem that’s been
20:02
building across modern society for decades… The Complexity Gap.
20:06
Technology has evolved at a faster rate than people are able to keep up with.
20:10
The sheer speed and volume of global data has utterly outpaced our ability to process it all.
20:15
It doesn’t matter how intelligent someone is or how much experience they have, they're still
20:20
constrained by the limits of human biology. No one can comprehend the countless data points and
20:25
real-time variables endlessly shifting across global networks. The tools we used to deal with
20:30
data are no longer good enough. There’s only so far you can push outdated database architectures
20:35
and Excel spreadsheets, after all. If humanity continued down that path,
20:39
without any changes, the consequences could be catastrophic. The volume and
20:44
complexity of data continues to grow, and our ability to make sense of it all continues to
20:49
diminish. It adds up to systemic blindness and unparalleled operational inefficiencies.
20:54
In effect, society’s rapid rate of progress has created a terrifying necessity for some sort of AI
21:00
orchestration layer to oversee everything. We need help to manage it all and maintain the massive
21:06
logistical networks we rely on every day. Palantir is that layer.
21:10
That’s what makes it so much more than a corporate vendor, selling a helpful but optional piece of
21:14
software. Instead, it has become a fundamental facilitator of Western society as we know it,
21:19
a deeply embedded cog in the modern data machine. It’s what stops modern systems from buckling
21:25
beneath the weight of their own data. And if you remove it, the entities and
21:29
industries it powers won't simply slow down or lose a little of their efficiency. While
21:34
they wouldn’t completely collapse, they would suffer a massive drop in efficiency.
21:38
And this brings us to the ultimate moral question, posed by the man who built it all.
21:44
Chapter 9 – The Philosopher King While Palantir actually had five co-founders,
21:48
Alex Karp has emerged as the enigmatic and often controversial figurehead of the company.
21:53
Karp is something of an outlier in Silicon Valley circles. He’s not a lifelong tech enthusiast,
21:58
nor is he a proponent of the belief that big tech is destined to make the world a better place.
22:03
Instead, he has more of a Hobbesian worldview and has argued that the world is a dangerous
22:07
place. It’s filled with near-constant geopolitical friction, with the threat
22:11
of war and collapse never too far away. To combat and counteract those dangers,
22:16
Karp argues, software like Palantir is a vital necessity. He believes it’s perhaps the most
22:21
important weapon for defending Western democratic values and preventing complete systemic collapse.
22:27
His defense of Palantir ties into a broader philosophical question facing society today. What
22:32
happens when humans can’t keep up anymore? Is a constantly watching, constantly optimizing ‘Shadow
22:38
AI’ layer a form of quiet authoritarian control… Or is it the only thing preventing modern
22:44
society from plunging into chaos Karp would argue for the latter,
22:48
claiming that we are already past the point of worrying about individual privacy or
22:52
data-driven states. Instead must choose between either human-led chaos or AI-managed order.
22:58
This, he argues, is the reality we’ve made, and it’s the one we must adapt to.
23:03
In our pursuit of making everything faster, smarter, more efficient, and more profitable,
23:07
we’ve forged a reality that is far too complicated for human minds to manage alone,
23:12
forcing us to hand over the keys to a machine we can never unplug.
23:16
Palantir’s effect can be felt all over the world. But it isn’t alone. There are more
23:21
shadow entities that affect our lives on a daily basis. Find out more in ‘The
23:25
Company That Secretly Owns Everything’ to see how BlackRock actually does. Or watch this instead.
