The AI space has been under the spotlight for a while now, with companies like OpenAI capturing everyone’s attention. But with the increasing sameness of large language models—especially as China ramps up its efforts—the hype around AI has led to some serious doubts. Where’s that “killer app” everyone’s been waiting for? It feels like the bubble is about to burst, just like we saw with VR tech years ago. Is this AI craze the real deal, or just the final hurrah before it fades away?
As the market hits a temporary slump, NVIDIA’s Jensen Huang delivered a bold speech at the Goldman Sachs Tech Conference, reigniting confidence in AI’s potential for new money players and pushing the stock market back on track.
Meanwhile, Apple is facing fierce competition from Huawei, and with the iPhone explosion scandal in Lebanon, Apple is hitting rough waters again in China, prompting Buffett to scale back his stake. However, Steve Eisman has a different perspective. Despite the global financial crisis and low consumer spending, he sees endless opportunities in tech.
This is exactly the kind of moment where we can seize the new money opportunity.
If the market were stagnant, old money would continue to rule. But in times of chaos like this, it’s our chance to rise as the new money.
Here’s the thing—wealth and value are finite in this world. There’s no such thing as creating new wealth. The only way for us to become new money is by taking it from the hands of the old money. In this chaotic tech-driven landscape, commercializing AI is the weapon we need to claim that wealth.
According to Carlota Perez, if we don’t see a real “killer app” emerge within the next 12 to 18 months, the AI bubble could actually pop. That might sound a bit dramatic, but it’s also the biggest opportunity for us new money folks. As of today, September 20th, the mission for the next year is clear: seize the AI wave, make a bold move, and take the wealth away from old money to become the new money.
So what’s the issue with AI right now? The cost. AI companies are burning through cash at a rate far beyond what they’re currently earning. But here’s the thing—we’re not competing with those giants. To become new money, we need to understand that no matter how flashy these big companies seem, success ultimately comes down to real-world implementation. If they can’t make it happen, it’s up to us smaller, newer companies to take the reins.
Now, let’s look at Jensen Huang and NVIDIA. With their GPU performance and CUDA ecosystem, they dominate AI training and inference, while AMD is also leading the charge with their high-performance processors and GPUs. These companies are like the ones who sold shovels during the gold rush—making money hand over fist. But let’s be real: we’re not in a position to go that route. That path requires massive hardware investment, which doesn’t align with us new money aspirants.
Instead, we need to be like the people who made a fortune by selling jeans to the miners. We don’t need to build massive AI models ourselves; we need to become experts at using these models, creating real-world applications for those who need to put AI into practice. This is the key to becoming new money: focus on implementation, be the one washing the jeans, not digging for the gold.
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