The 2 Big Short
Plot and Cast
Absolutely. In fact, I'd argue Alex Karp and Jensen Huang should be two of the five central characters. They embody two very different but equally important sides of the AI era.
Alex Karp — "The Philosopher King"
Casting: Willem Dafoe (older version) or Matthew McConaughey (a more charismatic interpretation).
Karp should be almost mythical. Every scene begins with him delivering an eccentric monologue while walking through the woods, skiing, or fencing.
One scene:
> CNBC interviewer:
"So... are you an AI company?"
Karp pauses.
> "No."
Five seconds of silence.
> "We're what happens when civilization decides it wishes to survive."
Cut to Palantir stock rising 18%.
Nobody knows what he meant.
---
Jensen Huang — "The Emperor"
Jensen isn't merely another CEO.
He's the equivalent of the oil sheikhs in the 1970s.
Everyone else needs what he has.
His scenes should always begin the same way.
A phone rings.
Someone says:
> "Can we get another hundred thousand GPUs?"
Jensen smiles politely.
> "Maybe."
The audience gradually realizes that nearly every company in the film—OpenAI, xAI, Anthropic, Meta, Microsoft, Amazon, Oracle, CoreWeave—ultimately depends on him.
He's the closest thing the movie has to a kingmaker.
---
A recurring visual motif
Every time someone announces a new AI model, the camera cuts to:
another NVIDIA shipment,
another substation,
another transformer,
another natural-gas plant,
another data center rising from farmland.
Without dialogue, the audience understands that intelligence has become a physical infrastructure business.
---
One of my favorite scenes
An investment committee meeting.
Someone proudly announces:
> "We just invested $15 billion in an AI company."
Cut.
Another firm:
> "$40 billion."
Cut.
Meta:
> "$100 billion."
Cut.
Saudi Arabia:
> "$200 billion."
Finally:
The camera reaches Jensen Huang.
He quietly signs another purchase order.
Without saying anything, NVIDIA's market capitalization increases by another $300 billion.
---
The "Godfather" structure
The movie would really have three "families":
The Builders: Sam Altman, Dario Amodei, Elon Musk, Demis Hassabis, Chinese AI founders.
The Infrastructure Kings: Jensen Huang, Larry Ellison, Andy Jassy, Satya Nadella, Michael Dell, utilities, power companies.
The Capital Allocators: Alex Karp, Ken Griffin, Masayoshi Son, venture capitalists, hedge funds, sovereign wealth funds.
Each believes they're driving the AI revolution. By the end, it's clear they're all dependent on one another.
---
The final shot
The last scene doesn't feature Sam Altman or Elon Musk.
It returns to Jensen Huang.
He's backstage before another keynote, calmly putting on his trademark black leather jacket.
An assistant asks:
> "Do you ever think we're building too much?"
Jensen pauses just long enough to make the audience wonder if he's been asking himself the same question.
Then he smiles.
> "We'll need more."
He walks onto the stage to thunderous applause.
The screen cuts to black before he says another word.
That ending captures the central tension of the AI era: whether "more" turns out to be the right answer—or the most expensive assumption in history.
In The Big Short, the object everyone thought they understood was the mortgage-backed security. In The Too Big Short, it's not the LLM—it's the AI ecosystem balance sheet.
The film keeps asking:
> "Where did the money actually come from?"
And the answer becomes increasingly difficult.
---
Running Segment: "Follow the Dollar"
Every 20 minutes the movie pauses.
Anthony Bourdain-style graphics appear.
The narrator says:
> "Okay... let's follow one dollar."
The dollar goes like this:
Microsoft ⬇ invests in
OpenAI ⬇ buys
NVIDIA GPUs ⬇ sold by
NVIDIA ⬇ whose revenue justifies
higher stock price ⬇
NVIDIA stock becomes collateral
⬇
Banks lend against it
⬇
Infrastructure funds raise more money
⬇
Build data centers
⬇
Lease them to...
OpenAI
which is financed by...
Microsoft.
The animation ends.
Pedro Pascal simply says:
> "That wasn't the simplified version."
---
The Circularity
The movie never says fraud.
It says something subtler.
Every participant is behaving rationally.
But everyone's projections assume someone else will ultimately generate enough cash flow.
The audience slowly realizes nobody is lying.
They're simply using each other's assumptions.
---
Absolutely. In fact, I'd argue Alex Karp and Jensen Huang should be two of the five central characters. They embody two very different but equally important sides of the AI era.
Alex Karp — "The Philosopher King"
Casting: (older version) or (a more charismatic interpretation).
Karp should be almost mythical. Every scene begins with him delivering an eccentric monologue while walking through the woods, skiing, or fencing.
One scene:
CNBC interviewer:
"So... are you an AI company?"
Karp pauses.
"No."
Five seconds of silence.
"We're what happens when civilization decides it wishes to survive."
Cut to Palantir stock rising 18%.
Nobody knows what he meant.
Jensen Huang — "The Emperor"
Jensen isn't merely another CEO.
He's the equivalent of the oil sheikhs in the 1970s.
Everyone else needs what he has.
His scenes should always begin the same way.
A phone rings.
Someone says:
"Can we get another hundred thousand GPUs?"
Jensen smiles politely.
"Maybe."
The audience gradually realizes that nearly every company in the film—OpenAI, xAI, Anthropic, Meta, Microsoft, Amazon, Oracle, CoreWeave—ultimately depends on him.
He's the closest thing the movie has to a kingmaker.
A recurring visual motif
Every time someone announces a new AI model, the camera cuts to:
another NVIDIA shipment,
another substation,
another transformer,
another natural-gas plant,
another data center rising from farmland.
Without dialogue, the audience understands that intelligence has become a physical infrastructure business.
One of my favorite scenes
An investment committee meeting.
Someone proudly announces:
"We just invested $15 billion in an AI company."
Cut.
Another firm:
"$40 billion."
Cut.
Meta:
"$100 billion."
Cut.
Saudi Arabia:
"$200 billion."
Finally:
The camera reaches Jensen Huang.
He quietly signs another purchase order.
Without saying anything, NVIDIA's market capitalization increases by another $300 billion.
The "Godfather" structure
The movie would really have three "families":
The Builders: Sam Altman, Dario Amodei, Elon Musk, Demis Hassabis, Chinese AI founders.
The Infrastructure Kings: Jensen Huang, Larry Ellison, Andy Jassy, Satya Nadella, Michael Dell, utilities, power companies.
The Capital Allocators: Alex Karp, Ken Griffin, Masayoshi Son, venture capitalists, hedge funds, sovereign wealth funds.
Each believes they're driving the AI revolution. By the end, it's clear they're all dependent on one another.
The final shot
The last scene doesn't feature Sam Altman or Elon Musk.
It returns to Jensen Huang.
He's backstage before another keynote, calmly putting on his trademark black leather jacket.
An assistant asks:
"Do you ever think we're building too much?"
Jensen pauses just long enough to make the audience wonder if he's been asking himself the same question.
Then he smiles.
"We'll need more."
He walks onto the stage to thunderous applause.
The screen cuts to black before he says another word.
That ending captures the central tension of the AI era: whether "more" turns out to be the right answer—or the most expensive assumption in history.
Scene: Investment Committee
Analyst:
> "OpenAI is worth $700 billion."
Partner:
> "Based on what?"
Analyst:
> "Future revenues."
Partner:
> "Generated how?"
Analyst:
> "Running models."
Partner:
> "On whose chips?"
"NVIDIA."
"Who bought those chips?"
"OpenAI."
"With whose money?"
"Microsoft."
"And Microsoft earns that money..."
"...from selling AI."
Silence.
---
Alex Karp's Monologue
Karp stands in front of a whiteboard.
Draws a circle.
Inside it he writes:
CAPITAL
Outside it:
REALITY
Then says:
> "Every technological revolution begins with capital financing reality."
He pauses.
> "Every bubble begins when capital finances capital."
Nobody understands him.
The audience does.
---
Jensen Huang's Perspective
One of the smartest scenes would show NVIDIA internally.
Executives aren't celebrating.
They're worried.
Because they understand something nobody else does.
Orders are arriving from companies that themselves are raising money partly because investors expect NVIDIA's future growth to continue.
One executive asks:
> "Do we know the end customers?"
Silence.
Another replies:
> "Everyone."
---
The Data Center Scene
Drone footage.
Hundreds of billions of dollars' worth of construction.
Narrator:
> "Nobody in history has ever built this much computing infrastructure this quickly."
Pause.
> "The interesting question wasn't whether AI would change the world."
Another pause.
> "It was whether demand would arrive before the financing expired."
---
The Final Reveal
Exactly like The Big Short revealing synthetic CDOs.
The audience discovers something they hadn't appreciated.
Not every GPU has one owner.
Not every data center has one financier.
Not every revenue projection is independent.
The same anticipated future cash flows support multiple layers of financing.
The camera zooms out.
Instead of mortgages...
it's a web of:
GPU purchase commitments
equity investments
convertible notes
cloud credits
long-term capacity reservations
power purchase agreements
leasing structures
sovereign wealth investments
hyperscaler capex
startup valuations
The lines become so dense the diagram resembles a neural network.
Pedro Pascal looks at it.
Long pause.
> "Kind of beautiful, isn't it?"
Another pause.
> "Also..."
The screen freezes.
> "...does anybody know where the cash actually is?"
Cut to black.
---
That ending would mirror The Big Short's treatment of synthetic CDOs: the issue isn't that any one contract is necessarily illegitimate, but that layers of commitments, financing, and expectations become so intertwined that few participants can see the system as a whole. The audience is left to consider whether the network represents a robust financing ecosystem for a transformative technology—or whether interdependence itself becomes a source of fragility if expectations change.
One day this prompt could generate an Oscars winning movie