How to spot technology hype before you buy

A technology announcement is an invitation to ask questions, not a reason to buy. You do not have to predict the next big thing. Start by deciding what a product would need to do to be useful to you.

This checklist is a practical way to examine a claim. It is not a scoring system that can certify a product as safe, effective or worth its price.

Separate availability from ambition

Ask what you can use now. Is the advertised feature included in the product you can buy, available only to selected testers, or promised for later?

Write down the version, price, subscription requirements and any location or device restrictions. If those answers are unclear, keep them as open questions rather than filling the gaps with optimism. Judge a purchase on the capabilities being offered, not on an undelivered roadmap.

Identify who is speaking

A seller's description, a paid promotion and an independent test serve different purposes. Before accepting a recommendation, look for the author's relationship with the company and the conditions under which they tried the product.

A financial connection does not automatically make a claim false. Equally, the word independent does not make a review conclusive. Ask whether the reviewer shows enough evidence for you to understand the result.

Treat demonstrations as limited evidence

A demonstration can show that something worked under the conditions shown. It does not, by itself, establish how often it works or how it behaves in other situations.

Ask whether the presentation shows a complete attempt or selected results. What input was used? What assistance was provided? Could you repeat the task with your own material? If you cannot tell, describe the uncertainty rather than assuming the demonstration was either representative or deceptive.

Put performance numbers in context

Before accepting a claim such as faster or more accurate, ask:

• What task was measured, and does it resemble yours?
• Which competing product and version were used?
• Were the settings, equipment and spending comparable?
• Were failures and limitations reported alongside successes?

For AI products, NIST's risk-management framework is a useful reference: it addresses risks throughout design, development, use and evaluation. It is voluntary guidance, not a government seal of approval for a particular tool.

Look beyond the headline feature

Consider the whole arrangement, not just the most impressive result.

• Cost: Include subscriptions, necessary accessories and support.
• Privacy: Ask what information you must provide and how it will be handled.
• Reliability: Decide what a failure would mean for your task and who could help.
• Exit: Check cancellation terms and whether you can export your work in a useful format.

Compare it with the ordinary option

Choose a concrete task and compare the new product with what you already use. Set your own threshold for improvement before trying it. A simpler or cheaper option deserves a place in the comparison.

If a claim remains untested, leave it unproven. You can postpone a purchase without declaring the entire technology a failure. The useful question is not whether the excitement is justified everywhere, but whether the evidence is strong enough for your decision.