‘Have I been influenced, or is this actually me?’ How personal taste fell out of fashion

**TL;DR:** ‘Have I been influenced, or is this actually me?’ How personal taste fell out of fashion

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What we know

Our favourite music, clothes and books used to be markers of individuality – but the algorithm has made us all sheep. Meet the style rebels fighting back What are you into? What floats your boat? What music, films, clothes, art, books – anything, really – do you actually like? Do you find these questions more difficult to answer than you would have done 10 years ago? How about 20? You do? You’re not alone.

It has become impossible to ignore: personal taste has been seriously debased – if not completely destroyed – by technological advancement. We know the internet has radically altered the way we form our opinions and beliefs. Now we’re waking up to another sobering truth: it has wrecked our capacity to form our own preferences. Continue reading...

Context

Tech news is rarely just a gadget headline. We frame what changed, who benefits, and what to watch next as details firm up.

Why this matters

The immediate headline is only the entry point. The more useful question is who gains leverage, who faces new risk, and whether the change is durable or experimental.

What to watch next

Track whether the story affects total cost of ownership: subscriptions, compatibility, downtime risk, or support burden.

Practical takeaways

1) If money or security is involved, wait for primary sources. 2) Test changes on a small scale before committing. 3) Note what would falsify your current assumptions.

FAQ

**Q: Is everything in this article confirmed?** A: The summary reflects publicly reported information at publication time. Analysis sections are clearly framed as context, not new reporting.

**Q: Will iByte update this page?** A: Yes. As primary sources publish more detail, this article can be refreshed without changing the URL.

Last updated: June 16, 2026.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

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