Chapter 46: The Aspiration
The same day, it was evening. Timothy and Angela were standing next to one another as they looked out of the floor-to-ceiling window of their unit, gazing at the beautiful panoramic view of the BGC Skyline.
He glanced down where he saw Angela being so mesmerized by the view. He must admit, it was really a beautiful view. To see such a view would be so motivational for anyone, because the view makes you believe that you can be on that building doing important things. You could be the boss there, a high-paying employee, or an owner of a tenant.
And that’s what he saw himself whenever he stared at the skyline. Believing that he could achieve great things. The reconstruction system proved that, and it made him a billionaire overnight by selling a futuristic GPU.
It’s so ridiculous that a company would pay such absurd money over a technology that they haven’t reverse-engineered yet. Such companies must have a vast amount of money that 20 billion is just a coin to them.
Wait, a thought flickered his mind. That was it! He wanted to be like NVIDIA, a company worth over a trillion dollars. It must feel good being an owner of a company with a trillion dollar net worth.
Now that he thinks about it, eight billion US dollars is more than enough to start his own company. With a reconstruction system, he could be half a decade or even a decade ahead of any companies in the world.
The billion dollar question is, what business should he get into? And that’s a lot of enterprise to think about, and the possibilities are endless. He could be in energy, software, transportation, logistics, automotive, literally anything!
Well, if anything, how about the GPU itself? There is a lot of money from it, especially since the world is locked on an AI race. What’s an AI race? It’s like a cold war between top companies in the field. Google, Microsoft, Amazon, NVIDIA—all pouring billions into research, data centers, and chips. Whoever had the best hardware would control the future of AI.
And why are the companies racing for it? What’s the use of AI aside from generating templates for emails, helping students write essays, or generating a realistic image of a person?
The truth was, those flashy uses people saw online were just the surface. Companies weren’t competing just to show off chatbots or image generators; they were competing because AI promised control over the future.
AI meant competitive advantage. Whoever built the most advanced systems could dominate industries by automating tasks, reducing costs, and scaling up productivity. Imagine factories that never rested, logistics networks that planned themselves, or customer support that never needed sleep. Efficiency like that turned into billions saved, and billions earned.
It can also be personalization and loyalty. The more data it consumed, the smarter it became. It could read human behavior better than humans themselves, tailoring ads, products, and services so perfectly that customers would almost never walk away. A company that had this much control over consumer behavior would own the market.
And don’t forget the profitability at insane scales. Governments, corporations, banks—every single one of them needed predictive systems to stay ahead. If an AI could save a bank ten billion dollars in trades, the bank would gladly pay a hundred million for access. Renting out computing power became like owning the printing press of the modern age. Whoever had the hardware controlled the gold mine.
And most importantly the future itself. Smarter AI would discover new medicines, engineer energy solutions, design more efficient cities, even command militaries with autonomous drones.
That was why every giant was pouring money into GPUs and chips. And the reason why NVIDIA had given him billions of US dollars for a futuristic GPU. And it was a good choice that he made. It’s not like NVIDIA would crack it in months or years for them to start mass-producing them through a semiconductor foundry in Taiwan. What he sold to them is the future.
So in that case, why not start his own business in the field of semiconductors and start dominating the market with a more advanced GPU than NVIDIA or AMD or Intel?
Well, it’s going to be difficult. A Filipino inventing a more advanced GPU than those countries? Not to mention the colonial mentality that still persists even today where local means low quality. Good luck with that. And those companies had been in business for decades. It’s not like the customers are going to shift overnight. Trust takes time, and trust in the semiconductor industry was built over decades of proven performance, billions poured into R&D, and global partnerships that stretched across continents.
Still, Timothy wasn’t naïve. He knew brand reputation was a fortress, and breaking into that fortress wasn’t easy. But he also knew something else—he didn’t need to play by their rules.
He had the reconstruction system.
While NVIDIA, AMD, and Intel spent years developing a single architecture and billions running simulations, he could reconstruct a working prototype in hours, test it, refine it, and leapfrog them by an entire generation. That was an unfair advantage. That was his weapon.
How would he introduce it? A magic word of secret would do, and in front of a great value that promises huge profit, it’s enough for them to dig deeper.
So what’s the plan then?
He would start his own company, similar to NVIDIA but unlike NVIDIA which is a fabless company, meaning it doesn’t manufacture its own chip but outsource it to TSMC, he would have both. The design and the foundry. And he would establish partnership with NVIDIA so that those reconstructed highly-advanced GPUs be then sold under their brand, and the profit would be in the billions!
The bottom line is, he is going to turn himself in at the TSMC of NVIDIA. He already imagined a semiconductor fabrication facility built in the Philippines churning out advanced GPUs and then exporting them worldwide.
And he was not stopping there, there’s also another where he’d want to venture next. Looking down below, where cars are driving along the road. It’s the cars. EV is also another profitable business for him to venture into.
A semiconductor and an EV automotive industry? This is going to be exhilarating.
Time to plan.