History has shown us that technology often comes wrapped in waves of hype—and sometimes, bubbles:
- Dot-com bubble (1997–2000): inflated valuations of internet companies with no clear business models.
- Cryptocurrency bubble (2017–2022): a speculative fever that left countless projects without real backing.
- NFTs & Metaverse bubble (2021–2022): overblown expectations followed by a sharp crash when the excitement cooled.
Today, Artificial Intelligence is experiencing its own boom—with soaring valuations and startups using the “AI” label as a magnet for capital. This has sparked the question: are we heading into another bubble?
The answer is nuanced. Unlike NFTs or hype-driven crypto projects, AI isn’t just a fad. It already powers:
- Process automation.
- Virtual assistants and advanced data analytics.
- Productivity gains and entirely new business models across industries.
Still, there’s no denying signs of overvaluation in certain segments. Some startups are overpromising, while investors chase growth stories without fundamentals. What we may see is less of a total collapse and more of a “mini-bubble correction”—a market adjustment that leaves only those companies creating real, scalable value.
History teaches us that technologies survive bubbles, but weak companies don’t. AI will remain and grow, but the market will separate the empty marketing plays from the businesses building products and services that last.
💡 The real question isn’t whether AI is a bubble—it’s whether your organization is building something that will survive once the hype fades.
👉 What do you think? Are we in the middle of an AI bubble, or just a natural phase of recalibrating expectations?
