For years, five letters defined technology: FAANG. That meant Facebook, Amazon, Apple, Netflix and Google. However, the ground has shifted. Today, a new set of AI giants leads the industry. So what changed, and why should your business care?
Who the new AI giants are
First, follow the money. Nvidia now sells the chips that train every large model. Meanwhile, Microsoft and Google pour billions into AI research. At the same time, focused labs like OpenAI and Anthropic shape what those models can do. People even float new nicknames for the group, like MANGO or MAMAA. Honestly, the exact acronym keeps changing. Still, the pattern is clear. Power shifted from social apps to AI infrastructure.
Why FAANG faded
So why did the old order slip? For one thing, growth in phones and social apps slowed down. After all, most people already own a phone. Their feeds already fill every spare minute. As a result, the next wave of margins moved elsewhere. Meanwhile, AI opened a fresh frontier. Suddenly, compute and models became the real prize. In short, the industry went looking for its next S-curve — and found it in AI.
What it means for everyone else
You don’t run a trillion-dollar company, though. Still, this shift reaches you directly. First, AI tools now live inside everyday software. Second, they keep getting cheaper. Therefore, small teams can use capabilities that once needed a research lab. For example, AI already speeds up web development and customer support. As a result, the gap between big and small players narrows a little each year.
A word of caution
Still, every boom brings noise. First, many AI startups will not survive. Second, some tools are features, not real companies. Therefore, don’t bet your business on a single vendor. Instead, favour tools that plug into what you already run. Because switching costs are real. In fact, the same lesson applied during the dot-com and mobile booms.
How to ride the wave, not chase it
That said, don’t adopt AI just for the headline. First, find one real problem in your business. Next, test a tool against it. Then, measure the result honestly. Because hype fades, but useful workflows stay. Above all, keep a human in the loop. Our team helps businesses pick tools that actually earn their keep. Ultimately, the AI giants set the pace — but you still set your own direction.