You Shouldn't Try to Take on AGI
Narrow AI is where most machine learning applications excel, solving specific problems. AGI requires massive resources that only a few companies can pursue.
Narrow AI is where most machine learning applications excel, solving specific problems, unlike AGI, which requires massive resources that only a few companies can pursue. While billions are being invested in AI, the majority of funding is concentrated in a handful of firms, with deals often structured as vendor financing. Competing in AGI or foundational models without substantial capital is nearly impossible, making this market winner-takes-all.
Other Highlights
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You Shouldn't Try to Take on AGI
Narrow AI is where most machine learning applications excel, solving specific problems. AGI requires massive resources that only a few companies can pursue.
My Favorite Is Health
There will be many companies focused on vertical applications, leveraging GenAI and LLMs with a deep understanding of industry-specific workflows and data.
The Next Generation of Opportunities
The next big opportunities in AI lie in the application layer, where innovations can build on the existing infrastructure.
Three Big Lessons
Successful teams are multifaceted, combining machine learning experts with software engineers, product managers, and subject matter experts.