Intial Post from Linkedin:
https://www.linkedin.com/posts/lukenorris_1trillioninferencesday-5ir-enterpriseai-activity-7254084041920950273-E8LO?utm_source=share&utm_medium=member_desktop
Over the past two years, the cost of running GPT-4 has plummeted by 240x, fundamentally altering the landscape for enterprise AI. This isn't just a reduction in expense—it's a gateway to a new era of AI innovation. For C-level leaders and developers, it’s time to stop thinking about replacing today's features and start thinking about unlocking capabilities once considered superhuman.
As AI becomes more affordable, many will first look at automating existing processes. But that’s short-term thinking. The real transformation comes when you ask: What can AI do that was previously too expensive or complex?
With the cost of knowledge work approaching the cost of air, second- and third-level processes that were once out of reach are now achievable. Imagine:
Real-Time Dynamic Strategy:
AI continuously processes global trends, competitor data, and internal metrics, allowing real-time strategy shifts based on constantly evolving insights.
Predictive Supply Chain Optimization:
AI systems that foresee supply chain disruptions, shifting production and distribution before issues even arise.
Supercharged R&D:
AI scanning and synthesizing worldwide research to suggest novel discoveries in fields like pharmaceuticals, engineering, and beyond.
The future is about much more than simply making existing tasks faster or cheaper—it’s about doing what was once unthinkable.
Driving this change even further is the dramatic decline in hardware costs, alongside rapid improvements in AI-specific infrastructure. Amazon's new Inferentia instances, for example, deliver up to 2.3x higher throughput and up to 70% lower cost per inference than comparable EC2 instances. But that’s just the start. With the release of Intel Gaudi 3, AMD MI325X, and Nvidia's B-series, we’re on the cusp of another massive drop in AI costs.These hardware advancements, combined with increasingly sophisticated software, are about to unlock capabilities we haven’t even imagined yet.
The cost of AI is dropping fast, and those who innovate beyond today's features will redefine their industries. The future isn’t just about automating—it’s about unlocking new, superhuman possibilities.