Everyone thought the money was in selling servers. Then AWS showed up and said, “What if servers were infinite—and cost pennies?” Overnight, distribution became a non-issue.
The winners weren’t server companies. They were apps like Airbnb, Uber, and Netflix—companies that used cheap infrastructure to solve real human problems.
Fast forward to today. The same flip is happening in AI.
DeepSeek, Qwen just dropped. Tomorrow, another model will. Soon, frontier models will be basically free.
And just like AWS, the biggest winners won’t be the model providers. They’ll be the Agentic AI companies solving specific business problems so well, they become indispensable.
Think: → The Airbnb of legal contracts → The Uber of sales outreach → The Netflix of content creation
Here’s why this matters: When everyone has access to the same powerful models, the differentiator isn’t performance—it’s understanding user problems deeply.
Your AWS moment is here:
Pick an industry AI hasn’t transformed yet
Build the simplest possible interface for one specific workflow
Watch as your product becomes the default
Hot take: The next trillion-dollar company won’t be a lab. It’ll be the team that turns a commoditized model into the easiest button for a billion-dollar problem.
Your move: What’s the one workflow in your industry that’s still stuck in 2010? Build the Agentic AI solution—and own the future.
We’ve all heard the noise. 2024 was a year awash in AI buzzwords, with promises of a technological revolution just around the corner. But as we step into 2025, the conversation is shifting. It’s less about the potential of AI and more about its practical application. Smart business leaders are now asking, “How can AI actually move the needle for my company?”
The question isn’t whether or not to use AI anymore. That ship has sailed. Now, it’s about wielding this powerful tool with intention, focusing on tangible results that impact the bottom line. CEOs and boards are starting to realize that the most transformative uses of AI might not be the flashiest ones. It’s about a thoughtful, strategic exploration of where this technology can truly make a difference, without getting swept away by the hype.
Think about it: what are your company’s biggest pain points? Where are you losing time and money? Maybe it’s the slow crawl of information retrieval, the agonizing pace of decision-making, or the constant battle against operational inefficiencies. These are the areas where AI can shine, and where businesses will be focusing their efforts.
Let’s take the property and casualty insurance industry as a prime example. Imagine a world where claims adjusters, underwriters, and actuaries are drowning in a sea of unstructured data. We’re talking about mountains of handwritten notes, scanned documents, emails, and reports – a treasure trove of insights, buried under an avalanche of paper (or, more accurately, digital paper).
Here’s where AI steps in, not as a magic wand, but as a powerful, tireless assistant.
Imagine an AI-powered tool that can sift through thousands of these documents in seconds. An adjuster could simply ask, “Show me all claims related to water damage in Florida from the last hurricane season, where the initial damage estimate was over $10,000,” and get a curated list of relevant cases, complete with key details, in moments.
This isn’t science fiction. This is happening now. It is like having a super-efficient research assistant who never sleeps, never gets tired, and can process information at lightning speed.
The implications for P&C insurers are huge. Faster claims processing, more accurate risk assessment, and improved fraud detection are just the tip of the iceberg. This kind of efficiency translates directly to cost savings, improved customer satisfaction, and a stronger competitive edge.
As Sridhar Ramaswamy , CEO of Snowflake , wisely put it, “We are at a pivotal AI moment — adapt or fall behind.”
He’s right. This isn’t just about keeping up with the Joneses. It’s about survival.
The future belongs to those who can harness AI with precision, focusing on clear, measurable outcomes. Those who cling to outdated processes risk being left in the dust.
The AI revolution isn’t coming; it’s here. The question is, are you ready to embrace it?
