What is this blog about
AI is everywhere—in headlines, boardrooms, and the back of our minds. But what does it truly mean for your job, your business, or your future? I will aim to answer all these questions, introducing new tools and educational resources in simple language. I’ll discuss opportunities and challenges, ensuring the content is practical and useful with actionable steps. Additionally, I will conduct tests and share the results on the site.
Note this is an AI-powered blog, meaning the content will be written with AI’s help. The goal is to push the technology to create interesting and relevant content while maintaining a tone that is honest and easy to understand, so you get genuine insights, not just hype or jargon.
Then vs. now,
This feels different from 2000, after the post-dot-com boom, where there was an understanding of the expansion that the internet brought and opportunities in advertising, publishing, and for small businesses, where they could reach new customers digitally instead of being restricted to their geographic area. Twenty-plus years later, big players dominate their respective markets, increasing efficiency. Then comes AI.
AI feels less like an expansion and more like an optimization, as companies are racing to see what functions can be optimized for efficiency and cost savings. However, it goes without saying that there are a lot of opportunities with AI, as hundreds of startups are trying to solve different problems with automation.
The big questions,
But that leaves us, regular folks, wondering: What does the future look like? Where is the opportunity? Will I still have my job in 10, 5, or 1 year? How should I prepare? If you are a parent, is college still worth it? Should I focus on skills versus a complete education? Do I need to send my kid to an Ivy school?
This begs the question: If companies are 10x productivity and cutting costs with automation, do we still have buyers? At some point, there is a need to have an end buyer, whether the company sells to other companies or directly to the consumer. Those buyers need to have money and thus a source of income, most likely through employment. Of course, demand can be inelastic, as in the case of buying toilet paper, eggs, or milk. Companies can make money in those gray areas, optimizing production, accounting, delivery, etc. Conversely, other industries have been hit hard, like in the case of Chegg with a 30% revenue decrease in Q1 2025 and a 22% reduction in its workforce.
The pace of technical changes is coming fast and furious. There is the promise of a symbiotic relationship between humans and AI, where humans set the agenda and bring creativity, and AI focuses on routine tasks to “10x” productivity. However, as we raise AI’s abilities to set agendas and be creative with the collective knowledge of the internet and the processing power to go over millions of pieces of content to decide the best product/service/content/art to produce, where does it leave the poor human with their limited life experience?
