Every five years or so, a new tool or technical resource shows up promising to change the world. There’s a wave of noise. Sometimes there are layoffs. Eventually, most of the staff get hired back, and everyone gets back to work.
You can set a watch to it:
- Personal computers everywhere (1985)
- The World Wide Web (1990)
- Windows 95 (1995)
- Internet (2000)
- Smartphones (2005)
- Cloud (2010)
- Big Data (2015)
- Remote (2020)
- AI (2025)
New label, new panic, same five-year rhythm. Gartner has an actual name for that curve: the hype cycle[2]. What almost never gets asked in the middle of the noise: what actually changed underneath it?
The Part That Hasn’t Changed Since 1970
In June 1970, an IBM researcher named Edgar Codd published a paper describing what he called the relational model: a way of organizing information into tables that could be linked to each other and queried[1]. It wasn’t glamorous. It took years before anyone outside IBM took it seriously. But it’s the plumbing underneath almost every piece of software built since. The database behind your bank account, your airline reservation, your company’s CRM, the systems that train today’s AI tools — all of it still leans on ideas Codd wrote down more than fifty years ago.
Every wave on that list above needed that plumbing to work:
- The Internet needed somewhere to store and retrieve information fast.
- The cloud is that same storage and retrieval, running on someone else’s servers.
- Big data is the same idea again, just bigger and faster.
- AI is trained on data organized and retrieved the same fundamental way.
Nine different panics, one foundation running underneath every one of them.
If the pace of change feels like it’s outrunning you, that’s worth a conversation, not a new certification.
Book a free Clarity Call and we’ll figure out which of all those ongoing changes matter for you, and which are just noise.
Wrapped Around the Axle
This is where most people get stuck. Not because the fundamentals changed. Because they’re so busy trying to learn everything new, and so worried about everything they don’t know yet, that they lose sight of how much of it is the same problem wearing a new name. That anxiety costs more than the actual learning curve does.
New Tools Aren’t the Solution — They’re Sometimes the Distraction
Too often, the new tool becomes the excuse. Chasing it feels like progress. It’s frequently a way to avoid the harder, less exciting work that actually moves the needle: doing the job in front of you well, translating what you already know into whatever the current label is, and shipping results instead of collecting certifications in the newest acronym.
That’s the same translation skill that gets people hired when the market’s vocabulary shifts faster than their resume does — I wrote about that here. Fluency in the new label matters less than most people think. Understanding what’s actually underneath it matters more.
To be fair, sometimes a new tool really is the real thing. Every few cycles, one genuinely changes a business or a life for the next five to twenty-five years, and a lucky few capitalize richly. For almost everyone else, it’s just the next entry in an endless news cycle — a bell rung on Nasdaq when a new issue lists, someone’s stock options bragged about at a party, a hot tip passed down a chain of people who each heard it from someone one degree further from anyone who actually knows anything. Nearly everybody in that story is chasing someone else’s dream, feeding a craze that only pays off for the handful who really did get in on the ground floor. The question isn’t whether you caught this particular wave. It’s whether you’re fulfilled by whatever part you’re playing in it — or whether it’s time to look at what would actually make your life great, not just tolerable.
In the long run, it’s the promoters who win. What are you promoting? If you’re still not sure, your best option is to get back to work.
The Two Languages Nobody Reconciles
Here’s a question worth sitting with: when’s the last time the people setting your organization’s strategy actually learned a new technical skill themselves? Probably a while ago. They don’t need to — that’s not their job anymore. Their job is budget, strategy, organizational design, and risk. Yours is knowing the details, whatever this decade calls them. Two different languages, two different sets of concerns, and somebody has to keep translating between them, over and over, every five years, for as long as you’re in the middle.
If you’re good with that arrangement — if the work still fits and the life still fits — good. Keep going. If it doesn’t, the honest question isn’t which new label to learn next. It’s how long this has been true, and what you’re actually planning to do about it.
If you want help sorting out which of the recent changes actually matter to you — and why — in your field and beyond, that’s worth a conversation.
Book a free Clarity Call and we’ll map it out together.
In Case You Wondered
The 1970 relational database story above is the real anchor of this post. Two more, for the curious: in 1975, the Altair 8800 shipped as a mail-order kit and became the first personal computer[3] — the machine that started the idea of a computer belonging to one person instead of an institution. In 1980, Digital, Intel, and Xerox published the first formal Ethernet specification, the “Blue Book”[4] — the paperwork that eventually made Ethernet the wired-networking standard everyone settled on.
RESOURCES
[1] IBM. “The relational database.” IBM, accessed August 2026. ibm.com/history/relational-database
[2] Gartner. “Gartner Hype Cycle Research Methodology.” Gartner, accessed August 2026. gartner.com/en/research/methodologies/gartner-hype-cycle
[3] “The Rise of Personal Computers: From Altair 8800 to the Modern PC.” The Core IT, accessed August 2026.
[4] Engineering and Technology History Wiki. “Milestones: Ethernet Local Area Network (LAN), 1973-1985.” ETHW, accessed August 2026. ethw.org/Milestones:Ethernet_Local_Area_Network
