How I Became Ultra Rich Using a Reconstruction System

The boardroom at TG Mobility Holdings – Raffles Place had never been this tense.

Every chair around the glass table was filled by the world's most powerful CEOs, their aides, and legal teams. The hum of quiet conversation filled the room, blending with the faint sound of city traffic outside. At the far end, Timothy Guerrero sat calmly, hands folded before him, while Jensen Huang observed the room like a chess master studying his opponents.

On the large digital wall, the presentation slide simply read:

"AURION SEMICONDUCTOR – AI PROCUREMENT ROUND."

A hush fell. Executives shifted forward, pens clicking, assistants opening tablets. Everyone here knew what was at stake, whoever secured priority access to Aurion chip would gain a massive lead in global AI dominance.

Mark Zuckerberg leaned forward first, hands clasped, the familiar analytical look in his eyes.

"Let me be direct," Mark began. "Meta is currently scaling our LLaMA 4 and World Model Engine programs. We're running roughly 220,000 GPUs, all A100s and H100s, across three continents. Transitioning to Aurion means a total infrastructure shift, but if your performance metrics hold, it'll cut our operational cost by forty percent."

Timothy nodded slowly. "And what are you proposing?"

Mark smiled faintly. "A $3.8 billion contract for 80,000 Aurion X3 units over two years, plus access to your firmware updates through an exclusive data-sharing arrangement."

Jensen raised a brow. "Data-sharing with Meta? That's bold."

Mark grinned. "We'll pay an additional $200 million licensing premium to secure early firmware access."

Timothy tapped his pen thoughtfully. "Noted."

Sam Altman leaned back, his tone more composed. "We're not after exclusivity. What we want is capacity and timing."

He gestured toward his assistant, who projected a graph showing GPT model scaling curves. "We'll need 60,000 units in the first six months to train the next-generation foundation models. We're willing to commit $5.2 billion USD over a three-year supply deal — provided we get guaranteed delivery priority and co-development rights for distributed compute optimization."

Timothy raised an eyebrow. "Co-development rights?"

Sam nodded. "We'll integrate your architecture directly into our software stack, which benefits both sides. You'd get global exposure through OpenAI's cloud partners. We'd also share inference optimization data, non-proprietary, of course."

Jensen gave an approving nod. "That's a reasonable partnership model."

Sundar Pichai, calm and collected, spoke next. "Aurion's design challenges our current TPU pipeline, and that's a good thing. We're not here to compete with NVIDIA; we're here to scale AI responsibly."

He adjusted his glasses and turned to Timothy. "Google Cloud will commit to a $6.5 billion partnership, $4 billion in chip orders, $2.5 billion for joint data center infrastructure in the Philippines. We'd like to co-finance a dedicated Aurion cluster branded under both Google and Aurion."

Timothy exchanged a brief glance with Hana, who nodded approvingly.

"That's… a serious commitment," Timothy said. "And production?"

Sundar smiled faintly. "We're ready to begin Q3 next year, pending fabrication yields. In exchange, we'll provide our TPU software stack for hybrid optimization."

Andy Jassy from AWS leaned forward, voice confident and businesslike. "We're not here to build from scratch — we're here to deploy."

He motioned to his engineers. "AWS will purchase 100,000 Aurion units in bulk for initial rollout. That's a $7.1 billion contract over four years, renewable for double the quantity once proven."

Timothy blinked. "That's the largest offer so far."

Andy continued smoothly. "We'll also commit $1 billion in infrastructure support — logistics, cooling systems, and global distribution. AWS will handle your cloud integration layer, making Aurion rentable under AWS Inferentia protocols."

"That would make Aurion accessible to millions of developers," Hana noted quietly.

"Exactly," Andy said. "We'll split cloud revenue 70–30, your favor."

Timothy nodded appreciatively. "Noted. That's a compelling model."

Apple's Johny Srouji spoke next, his tone sharp and direct. "We don't do mass cloud computing like the others. Our interest lies in on-device intelligence."

He tapped his iPad, displaying the schematic of an iPhone board. "We're developing A-series neural co-processors for the next generation of AI-integrated devices. We want to license Aurion's architecture, not the chip, the design, to integrate into our 3-nanometer SoC."

Timothy folded his hands. "That's sensitive IP."

"We're prepared to pay for it," Johny said simply. "$8 billion for architecture licensing, one-time fee, plus royalties of $40 per unit on all Apple devices equipped with the modified Aurion core."

The room went silent for a moment.

Even Jensen raised his eyebrows this time. "That's… a bold move."

Timothy chuckled. "Apple always prefers control over access."

"Control drives quality," Johny replied calmly. "We both understand that."

Elon leaned forward, fingers steepled. "I'll keep it short. Tesla needs Aurion chips too, ruggedized for vehicle AI and autonomous fleet data centers. SpaceX, on the other hand, wants orbital deployment for Starlink AI routing."

He leaned back, smirking. "We'll take 30,000 chips for testing and another 70,000 over two years. I'll pay $4.5 billion, half upfront in cash, half in SpaceX logistics credit."

Timothy smiled faintly. "Tempting offer."

Elon grinned. "I know. That's why I said it."

Satya Nadella's calm voice cut through the buzz. "We're looking at the long game. Azure has an AI compute backlog that's growing daily. We'll fund joint hyperscale data centers with NVIDIA and TG Holdings, using Aurion as the backbone."

"How much?" Timothy asked.

"$10 billion investment over six years," Satya said. "Half for infrastructure, half for procurement. In return, Microsoft gets long-term pricing protection and co-branding rights on the data centers."

Arvind Krishna of IBM added, "And IBM Cloud wants 20,000 Aurion units, with a focus on research AI. We'll pay $1.3 billion upfront, and another $800 million for academic partnerships using your hardware."

Timothy nodded slowly, taking mental note of each figure. "Gentlemen, these are generous numbers."

Finally, all eyes turned to Jensen. He leaned forward, resting his elbows on the table.

"NVIDIA's position is simple," he said. "We're partners, we don't need to outbid anyone. But I'll commit $30 billion USD to expand Aurion's fab capacity in Subic to meet the growing demand. So there'd be two sites, Batangas and Subic."

"Wait, are you serious?"

Jensen nodded. "You built the foundation. We're just helping it scale."

So for total commitments, it's approximately $66.4 billion USD.

Meta, OpenAI, and Google want power.

Amazon wants scale.

Apple wants control.

Tesla and SpaceX want autonomy and space integration.

Microsoft wants infrastructure dominance.

IBM wants academic legacy.

NVIDIA wants to build the empire itself, and make Aurion the new global semiconductor standard.