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The Future Of Technology Belongs To One Man, Jensen Huang
Co-Founder, President & CEO of Nvidia. The man holding all the chips. đ
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HOUSEKEEPING đš
Gee wiz the world of AI is moving fast. I feel like in the last days robotics, agents, and creativity were just totally supercharged through AI. I am not sure about you but every so often I catch myself zooming out and thinking to myself how crazy it is that we are living through what could only be described as the craziest time to alive in human history.
Sure, our grandparents saw atomic bombs, the moon landing, and the advent of the Internet. But we copped the Internet, we will also likely see humans make it to Mars, and if we are lucky / unlucky we may see ourselves becomes totally redundant in the face of robots helpers, and agentic staff.
Claude for prompting + ChatGPT for static generation is insane.
I made all of these entirely with AI.
Vibe marketing is HERE.
â Alex Cooper (@alexgoughcooper)
12:17 PM âą Mar 26, 2025
Are we heading towards a utopia wonderland, or dystopian nightmare? I think at this stage itâs a toss of the coin. What I do know is that life will be very, very different in 2050, and even wilder again in 2100 and beyond. And hey, another good piece of news is that we might even live to see it. Enjoy todayâs post!

DEEP DIVE đ”đ»
Jensen Huang - Co-Founder, President & CEO at Nvidia
Jen-Hsun âJensenâ Huang (Chinese: é»ä»ćł; pinyin: HuĂĄng RĂ©nxĆ«n; PeÌh-Će-jÄ«: NÌg JĂźn-hun; born February 17, 1963) is an American businessman, electrical engineer, and the Co-Founder, President and CEO of Nvidia Corporation. As of February 2024, Huang's net worth was estimated to be $60 billion by Forbes, making him the 24th richest person in the world.
The incredible thing about Jensenâeven rocking his patented leather jacketâis how unassuming he is. The man drives a Toyota Supra. Last year the Goldman Sachs trading desk called Nvidia âthe most important stock in the entire world.â

I am Iron Man.
Todayâs story will be one of ambition, tenacity and survival. My aim is to not only demystify, as much for myself as anyone, Jensen and Nvidia, but to show why Jensen should be spoken of alongside both the greats who built our past, and also the small handful in line to build our future. He is the man who is figuratively, and quite literally, holding all the chips.
Early years
Jensen, or Jen-Hsun, was born in Feb, 1963, in Tainan, Taiwan. He and his family moved to Thailand when he was five, before he and his brother were shipped off to live with an uncle in Tacoma, Washington. Jensen was growing up on US soil from the ripe of age nine.
Jensen had a typical, albeit somewhat atypical path through school, graduating two tears early at the age of 16. Following high school he would be on to an electrical engineering degree at Oregon State University, where he would meet his future wife, and mother to their two kids, Lori Mills. She was his original engineering lab partner. | ![]() Huang squad. |
âI tried to impress herânot with my looks, of course, but with my strong capability to complete homework,â Jensen would say of the courting process between he and Lori.
Jensenâs next move would be what all young, smart, technology obsessed graduates doâa master's degree in electrical engineering at Stanford University, followed by a move into a role at semiconductors company, LSI Logic.
Pre-Nvidia ⊠pre-iN-video-games
While at LSI Logic, Jensen learned how to master the intricacies of custom semiconductor and ASIC technology, honing his skills in large-scale integration and pushing the boundaries of chip design. He also gained experience collaborating with cross-functional teams and understanding the evolving needs of the electronics industry.
His next move was to Advanced Micro Devices, Inc., more commonly known as AMD, where he delved deeper into microprocessor design.

Early Jensen.
AMD was a semiconductor company based in Santa Clara, California, born of Jerry Sanders, and seven of his colleagues from Silicon Valley famed, Fairchild Semiconductor. Recently, Jensen told the Acquired Podcast that he loved him time at AMD, and in an alternate reality, he could see himself still there today.
But as fate would have it, that isânt the path he chose to take. One evening in late 1992, Jensen would head to grab a quick bit at Dennyâs with two engineers from Sun Microsystems. | ![]() |
1993: Jurassic Park, Chicago Bulls & the birth of Nvidia
The year of 1993 was amazing culturally. If you were like me, you likely versticulated (*original word) at the intersection of movies, sports and video games then you were in heaven. 1993 was a mecca for jocks and nerds alike.
Michael Jordan and the Chicago Bulls had just completed their first 3-peat, Dr. Alan Grant was on the big screen taking on the T-Rex, and gamers were nonchalantly ripping out spines on Mortal Kombat II. | â Versticulate to use dramatic emotions, inside of ones head, brought on by high levels of excitement. "you could tell, that inside, he was versticulating frantically" |
The two Sun engineers that Jensun met with on that fateful evening in 1992 were Chris Malachowsky and Curtis Priem. The three co-founders envisioned the next wave of computing would be in the realm of accelerated computing, specifically in graphics-based processing. Graphics for computersâand video games. Think Doom & Wolfenstein but in 3D.
With around $40k in the bank the team, set our to build the next generation of computer gaming. Their first product, the NV1 was successful, but only to a point. It lacked the industry supportâmainly from game developersâ that it needed to be successful due mainly to the fact that it was optimised for processing quadratic primitives, rather than triangle primitives, which was industry standard.
If you are lacking a PHD in computer science, what I am saying in laymanâs terms is; they build something new, and people didnât like it.
In 1996, with flagging growth and no real prospects on the horizon, Jensen and Nvidia were in a bind. Theyâd just laid off half of their 100 staff and needed to refocus and get something to market that they knew the industry would actually want. Enter: the RIVA 128. | ![]() Our lord and saviour. ![]() Quake II - on RIVA 128. |
This little chip, and the impact it had on Nvidia, might be the one product that meant today we haver the ability to argue with ChatGPT about whether pineapple belongs on pizza.
The RIVA 128, or the Real-time Interactive Video and Animation accelerator, was so popular that it sold a million chips in the first four months of it hitting the shelves.
When Nvidia release the RIVA, in August 1997 it was down to itâs final one month of cashflow to fund payroll. It quite literally saved Nvidia from being nothing more than a failed also-ran.
âIf you lose my money, I will kill youâ
One of the funniest stories of the early stages of Nvidia was related to the late Sequoia Capital founder, Don Valentine. Don was a large, imposing figure in Silicon Valley circles and was famous for his no-nonsense approach to investing.
[Venture capital] is all about figuring out which questions are the right questions to ask. And since we donât have a clue what the right answer is, weâre very interested in the process by which the entrepreneur get to the conclusion. â Don Valentine | ![]() The Don. |
The story of Jensen and Don, is that when raising itâs first round of venture capital the two legendary figures met for Jensen to pitch the opportunity to invest in Nvidia. Jensen, although usually quite confident, smart and charismaticâtotally bombed the pitch.
And Don told him about it. He told him it was terrible. Luckily for Jensen though, he was introduced by his former employer, LSI Logic's founder Wilf Corrigan. Wilf had spoken incredibly glowingly of Nvidia, and Jensen in particular, so much so that Don knew he was going to invest in him anyway.
As they were finishing their meeting Don reached out to shake Jensenâs hand and tell him heâd be investing. With the firm grip of a venture capital titan, he looked Jensen square in the eyes and finished with, âIf you lose my money, I will kill you.â
Jensen today, is alive and well and Sequoiaâs original investment in Nvidia is regarded as one of the great investments in technology history.
The middle years & the rise of the GPU
Riding on the back of the RIVA 128âs success, Nvidia went public on January 22nd, 1999. Later that year, Nvidia would launch a new product; the GeoForce 256. This product is the first product marketed as a GPU.
What was so great about the GPU? Well the GPU was the world's first Graphics Processing Unit (GPU). The GeForce 256 was a big advancement in graphics technology. It integrated both 2D and 3D graphics rendering, with hardware acceleration in a single chip. This had not been done before.
For a lot of us, that have not lived through all the previous technology waves, we may look at Nvidia, as somewhat of a new name on the global stage. But look at this historic revenue run-up of Nvidiaâs starting a quarter-century ago.
Year | Revenue |
---|---|
1999 | $374.5 million |
2000 | $735.3 million |
2001 | $1.37 billion |
2002 | $1.67 billion |
2003 | $1.82 billion |
2004 | $2.38 billion |
Nvidia, by this stage, had begun to make a name for themselves in the niche of gaming. And game developers knew that their rabid fanbase would never be happy with the current graphics stack. It could never be more life life. Because of their reputation, Nvidia began working with Microsoft to develop the graphics for the Xbox.
The continued rise of gaming super-charged the companyâs growth through the early 2000s. But that wasnât all Nvidia were good for at the timeâCAD design systems, automotive infotainment, tablets and smartphones, video processingâall these use cases were built on top of Nvidiaâs chips.
But just like all good drama stories, things were about to get a lot darker and stormier for Nvidia. Although, Nvidia was the little engine that could of the tech sector the years 2005 and 2006 saw negative, followed by stagnant revenue growth. The market was becoming increasingly saturated, and they were facing stiff competition, which was pushing down margins and slowing their growth overall.
A brief bright spot was in 2007, when Forbes named Nvidia its âCompany of the Year,â highlighting its accomplishments in the early part of the decade. That same year, Nvidia launched CUDA (Compute Unified Device Architecture), a parallel computing platform that marked a significant shift in the capabilities of GPUs. However, unbeknownst to Jensen and his team, the storm clouds of the Global Financial Crisis were gathering, with the trigger being just a few subprime mortgages away.
2008 and CUDA
In the first report of 2008, amid the turmoil of the GFC, Nvidia took a write down of $200 million dollars of itâs first-quarter revenue. âAbnormal failure ratesâ apparently the culprit. During this period, from a 2007 high to a 2008 low, Nvidia lost roughly 80% of the value of itâs stock. For most, if not all companies, an 80% drop in your stock price is an existential shock to your system.

Courtesy; Seeking Alpha.
Again, Nvidia would need to rebuild, and rebuild themselves. They would need to bet the house, again. Itâs not something that particularly scared Jensen and the team. During the 90âs the had come up with an unofficial motto that; "Our company is thirty days from going out of business." That being said, people were invested. Their careers, their emotions, their finances. So they set out, to continue to build upon their totally new computing platform: CUDA.
CUDA, allows developers to write programs that harness the parallel processing power of regular GPUs. | Huh? |
In machine learning environments, CUDA's was a game-changer as well. ML is all about crunching massive datasets. A heavy lift, computationally speaking. But with CUDA devs can train and run models way quicker than with just CPUs. This boost has led to some mind-blowing breakthroughs, from recognising images and speech to processing natural language and beyond.
CUDA was thought of as the best-in-class software for many of itâs use cases. And Jensen knew it. This was one of the times in which he would pull one of the great levers in business. When you know you have a significant technological advantage, raise your prices.
There could be nothing that could be faster. We also chose a cost point substantially higher than any of our competitors would be willing to go.
This is a muscle Nvidia and Jensen have been building over time, and flashing forward to today for a moment, Nvidiaâs current gross margins are at 70%, up from 66% only two years ago.


30-year overnight success
There are a lot of things that happened in the years in and around the crash of 2008. Competitor AMD would approach Jensen for a potential merger. Nvidia stock would plummet 50%+ (again) after a bad stock call. And deep learning would be supercharged with AlexNet, the brainchild of Alex Krizhevsky, Geoffrey Hinton and Ilya Sutskever of OpenAI.
But all the way through, Nvidia would keep moving forward. Their rise seems to me like the inverse of Hemingwayâs famous line about bankruptcy. | ![]() Do you even Nvidia? |
Smart Silicon Valley insiders saw it coming though. Marc Andreessen in 2016 noticed that everyone was building on Nvidia and was quoted as saying; âif we were a hedge fund weâd put 100% of money into Nvidia.â And NVIDIA's slow but strategic shift towards AI, deep learning, and data center markets puts it front row centre to capture the value of the next wave of computing.
Accelerated computing, at data center scale, and combined with machine learning, has sped up computing by a million-x.
But even with the strong tailwinds towards the end of the 2010âs, now one in their right mind could predict what would come to pass in the latter part of 2022.
The great battle for chips
Every so often their is a hype cycle in technology that blows the doors off the industry. You can go as far back as The Space Race, through the rise of the personal computer, the internet and the Dot-Com boom. More recently we have seem social media, mobile, blockchain & (lol) web3.
But there may be no bigger hype cycleâand no more meaningful oneâthan the cycle we are going through today. The hype cycle that is artificial intelligence.
On November 30, 2022, Sam Altman, and the team at OpenAI dropped a product release so popular and so revolutionary that it surprised even their staunchest believers. ChatGPT. The trajectory of Nvidia, and the world for that matter would be changed forever.
*Note: The image below is not todayâs stock chart but a look at the stock from when it was most aggressively peaking ~15 months after the launch of ChatGPT. (it looked better for the image)

It was as if the man with the starters gun pulled the trigger and the race was on. Not only a race between big techâGoogle, Amazon, Meta, and Microsoftâbut a race against regulators, a race China, and really a race against time to build enough energy to power the data centers of the world that are powering this AI revolution.
One thing we do know, is that the market believes the story of Nvidia. âIâve never seen anything like this,â Scott Galloway would say of their rise. Before we take a final look into the future for Nvidia, letâs look at a few things that make them unique.
Rule #1: Bet the farm, just donât die doing it
One thing that Nvidia has done really, really well since their founding in 1993 is what one could only describe as not dying. Somehow, through Jensenâs phenomenal leadership they have managed to make bold, courageous bets, and have them miraculously pay off.

Nvidia: Life, (not) death and taxes.
And although it may look luckyâand letâs be clear, there is a healthy amount of luck involved in any successful business taleâtheir success is also by design. Jensen is famous for talking about making sure Nvidia is in fact in the right place at the right time. Or close enough to be able to have impacts. He calls this the âzero-billion-dollar marketâ.
We prefer to position ourselves in a way that serves a need that usually hasn't emerged. We call that a zero-billion-dollar market. It's our way of saying there's no market yet, but we believe there will be one.
In order to be positioning yourself in this way, you need to be spending time on things that may not look important at the time. And you may need to push all your cards in. Take NVIDIAâs vision in ~2010 to create âneural network processors, safety architectures that run AI algorithmsâ.
This was at a time would have been close to a âzero billion dollar market.â
đĄ Note: If you are looking to hire engineers experienced in AI, machine learning and other bespoke stacks, Athyna can help you find them.
On management & leadership
Jensen, has a unique perspective when it comes to management. And prefers to think from first principles when it comes to organisational design. Nvidia has a famously flat structure, unlike most companies you would see today.
Information doesnât have to flow from the top to the bottom of an organization, as it did back in the Neanderthal days when we didnât have email and texts and all those things. Information can flow a lot more quickly today. So a hierarchical tree, with information being interpreted from the top down to the bottom, is unnecessary. A flat network allows us to adapt a lot more quickly, which we need because our technology is moving so quickly.
Now, when I say a flat structure, I mean very flat. Jensen personally manages ~40 direct reports today. His reports submit a weekly list of the five most important things they are working on, of which Jensen reviews every morning. He elaborates further:
If you look at the way Nvidiaâs technology has moved, classically there was Mooreâs law doubling every couple of years. Well, in the course of the last 10 years, weâve advanced AI by about a million times. Thatâs many, many times Mooreâs law. If youâre living in an exponential world, you donât want information to be propagated from the top down one layer at a time.
When talking about the typical org structure you see todayâthink C-level, VP, Head of this, Director of thatâhe was particularly critical, preferring a âhorses-for-coursesâ approach to organisational design.
What is this machine that you are trying to create? What is its output, what is its input, what are the conditions that it is in? What is the industry like? Is it a fast-moving industry? Is it bureaucratic? Is it highly regulated? What kind of industry is it? And what are you trying to build?
I could go on. There are no departments, no business units, no status reports. They do not 1-year plan, 3-year plan, god forbid, 5-year plan. Jensen has a very particular way of running his org and heyâmaybe we are the weird ones.
Playbook
Anticipating market trends: Jensen foresaw the significance of GPUs not just in gaming but in a wide range of computing tasks, including artificial intelligence. His ability to anticipate and invest in these trends early on has kept NVIDIA at the forefront of innovation.
Technical expertise: With a foundation in electrical engineering, Jensen has a deep understanding of the technical aspects of NVIDIA's products. This understanding allows him to make good decisions day-to-day and drive the right changes within the company.
Embracing adversity: Jensen co-founded Nvidia with a bold vision, despite the risks associated with starting a new company in the competitive semiconductor industry. His willingness to take calculated risks along the way meant they could push the envelope of new technology.

Banesun Huang.
Cultivate partnerships and community: Jensen recognised early on the importance of developers as partners in innovation. He has actively fostered an open-source developer ecosystem and has invested heavily in developer relations. He has also excelled at forging partnerships across industries, from automotive, to science, to healthcare.
Prioritise long-term innovation: Jensen pushes relentless research and development, investing heavily in future-oriented technologies even when they don't offer immediate returns. âWe spend about a decade in $0B dollar marketsâ he said.
Have a bit of luck on your side: And be lucky. No one really saw this AI boomâat least to this extent. Sometimes you just have to carry a rabbitâs foot around in your pocket and hope for the best.
Future
Today, so much of what we touch is powered by Nvidia. Your favourite social feeds, the algorithm you use while scrolling YouTube, even your car if you happen to drive a Tesla. And while the rise of Nvidia has been a 30-year success story, in Jensenâs eyes, they are just getting started.
Weâre building a new type of data center. We call it an AI factory. The way data centers are built today, you have a lot of people sharing one cluster of computers and putting their files in this one large data center. An AI factory is much more like a power generator. Itâs quite unique. Weâve been building it over the last several years, but now we have to turn this into a product.
It seems the battle for AI supremacy is well underway and Nvidia are more driven than ever to be at the forefront, leading us into the future. | ![]() |
In the history of technology, there has been one guiding principle regarding the pace of computing growth: Mooreâs Law. But like all true rebels, Jensen sees this law as nothing more than an antiquated relic of less ambitious times.
We looked at the way Mooreâs law was formulated, and we said, âDonât be limited by that. Mooreâs law is not a limiter to computing.â
It's the year 2024, folks. AI is here. The future has arrived. And if Jensen Huang has anything to do with it, we're only just getting started.
Fun factoids
Naming the company: The name âNVIDIAâ is derived from combing .nv for ânext versionâ the word âInvidia,â which is Latin for envy. The brand is green because, wellâgreen with envy.
Biggest fear: Jensen said recently that his biggest fear is the same today is was on the first day of Nvidia; âletting his employees downâ.
There would be no do-over: If he had the chance to do it all again, what would be do different. His answerâhe would simply not do it at all.
OpenAI GPT subscription = $20/month
Tesla Model 3 = Starting at $35,000
NVIDIA stock price = $300B market capQuality of life = Priceless
â Bill Kerr (@bill_kerrrrr)
3:03 PM âą Mar 1, 2024
Tattoo appreciation: Huang is a fan of tattoos, heâs not afraid to throw his guns out and flex some bicep art from time to time.
Car aficionado: Huang has a well-documented love for fast cars. He owns several high-performance vehicles, including a Ferrari 599, a Ferrari 430, and a Swedish Koenigsegg CCX.
Extra reading
The Acquired Podcast Series + Jensen Interview - Over the last 5 years
Stratechery interview; Manufacturing Intelligence - March, 2022
Stratechery interview; AIâs iPhone Moment - March, 2023
Nvidia Hardware Is Eating the World; Wired - February, 2024
Microsoft, OpenAI & Nvidia Back $2.6B Robot Startup - February, 2024
And thatâs it! You can also hope you enjoyed it folks. You can go out and build your own AI startup on Nvidiaâs chips here, haha.

BRAIN FOOD đ§
Just caught this episode on The Startup Ideas Podcast where Greg and Andrew break down the startup scene and really dive into how AI is shaking things up, making it super easy to kick off a business but tough to keep it competitive long-term.
They go through some solid ideas like AI web design and secure financial data platforms and explain what you need to do to keep it sustainable. This oneâs value-packed in my opinion, so go check it out.

TWEETS OF THE WEEK đŁ
Apple but in an alternative universe.
[subject] --sref 470043244 --profile ch85yes --c 8 --q 2 --sw 320 --s 320 --v 6.1
â Dogan Ural (@doganuraldesign)
6:52 PM âą Mar 22, 2025
This was barely a decade ago.
2 competent, fully coherent, men in their 50s/60s disagreeing at the margins about ways to make our society a little more productive. Nothing but respect for one another.
Weâve completely spiraled out of control politically since then.
â Spencer Hakimian (@SpencerHakimian)
5:49 PM âą Mar 26, 2025
It's been 24 hours since OpenAI unexpectedly shook the AI image world with 4o image generation.
Here are the 14 most mindblowing examples so far (100% AI-generated):
1. Studio ghibli style memes
â Barsee đ¶ (@heyBarsee)
1:43 PM âą Mar 26, 2025

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