On Business Scaling
At its core, business scaling is a market discovery process that turns niches into mass markets.
In the three scaling laws of AI, I’ve explained how the AI industry, from a technical perspective, is leveraging three core laws to achieve scale.
Indeed, as the industry learns how to develop new reasoning models and thus achieve scale on the post-training and test-time scaling side, we’ll see a greater transition from AI systems that need continuous human prompting to more autonomous ones.
And this race has just begun.
Indeed, just yesterday, Google unveiled Gemini 2.5, its latest family of AI reasoning models, with Gemini 2.5 Pro Experimental being the first release.
This new model is designed to "think" before responding, incorporating enhanced reasoning capabilities to analyze information, draw logical conclusions, and boost accuracy.
Accuracy is one of these things that matters a lot in enabling a broader adoption of AI.
In short, in scaling AI, we’re now pushing the time-scaling side to the limit to see where we get in terms of the capabilities of these models to be served in more and more commercial use cases.
That matters because if these prove to work at scale, we’ll see the transition of AI from an emerging to a growth market.
And in a growth market, it’s all about scaling!
Indeed, I have a business mantra that goes along these lines:
Business strategies take years to roll out. Yet when they do, they are obvious only in hindsight.
That is all but a linear process for the entrepreneurs who roll them out.
Rolling out these business strategies is a painful process that requires a lot of faith in your gut instinct. It's all about sweat, persistence, execution, and stubbornness.
And it all starts by balancing out the short and long term.
This is part of an Enterprise AI series to tackle many of the day-to-day challenges you might face as a professional, executive, founder, or investor in the current AI landscape.
Balancing short-term survival with long-term (at times) grandiose vision
In time horizon analysis, I’ve explained in detail how to balance the immediate with the long-term, or “survival” with vision. In what I’ve called multi-horizon integration.
