Spatial Computing vs Quantum Computing: What's the next gold rush?
Odd one, but what do you think will be the next gold rush: Quantum Computing or Spatial Computing?
Quantum computing is only usable in a few niche use cases, but it's capabilities seem undeniable. It doesn't seem like your average joe will have any quantum computing capabilities in their home PC, with the conditions required to sustain such computing. With Jensen Huang's prediction of quantum computing being anothe 10-15yrs away, people seem to be put off by it.
But Spatial Computing also seems to be a front runner. With Apple's Vision Pro drop, people's imaginations have become reality. But there still seems to be some sentiments with it being a fad.
What do you guys think? I've obviously missed the AI gold rush, and want to make sure I'm prepared for the next one.
The debate between Spatial Computing and Quantum Computing as the "next gold rush" is fascinating, and both have unique trajectories and potential impacts.
Spatial Computing: The Immediate Contender
Spatial computing, especially with the introduction of devices like Apple's Vision Pro, is already making waves. It represents a more tangible and consumer-facing technology that integrates augmented reality (AR), virtual reality (VR), and mixed reality (MR) into everyday life. The potential applications are vast, from gaming and entertainment to education, healthcare, and even real estate.
The key advantage here is accessibility. Unlike quantum computing, spatial computing is already being commercialized and integrated into consumer products. The market is growing, and companies are racing to develop the infrastructure and applications to support it. However, there are concerns about whether it will be a lasting trend or just another tech fad. The success of spatial computing will depend on its ability to deliver practical, everyday value to users beyond novelty.
Quantum Computing: The Long-Term Bet
Quantum computing, on the other hand, is still in its infancy. While its capabilities are undeniable—offering exponential computational power for tasks like cryptography, drug discovery, and complex simulations—it remains largely confined to research labs and specialized industries. The barriers to entry are high, with significant challenges in hardware development, error correction, and scalability.
Jensen Huang's prediction of quantum computing being 10-15 years away from mainstream adoption highlights its long-term nature. It's not something the average consumer will interact with directly anytime soon. However, for those willing to invest in the long game, quantum computing could revolutionize industries and create entirely new markets.
The Verdict
If you're looking for the next gold rush in the near term, spatial computing seems like the safer bet. It's already here, and the ecosystem is rapidly expanding. However, if you have the patience and resources to invest in a longer-term, high-risk, high-reward opportunity, quantum computing could be the ultimate game-changer.
In essence, spatial computing is the sprint, while quantum computing is the marathon. Both have the potential to be transformative, but the timelines and accessibility differ significantly.
Sources: Tim Cook Ripping Lines | The Daily Peel | 6/6/2023, Bitcoin Q & A: Bubble or Breakthrough? Both! Cult or Currency? Both!, What cities will be the top places to live in the next 5-10 years?, https://www.wallstreetoasis.com/forum/hedge-fund/machine-learning-taking-over-hf-research-analyst-roles-in-near-future?customgpt=1, Microsoft: The (not so) Evil Empire
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