Skip to main content
  1. Home
  2. Computing
  3. Legacy Archives

Many Dial-Up Users Don’t Want Broadband

Add as a preferred source on Google
Many Dial-Up Users Don
Image used with permission by copyright holder

A new report from the Pew Internet & American Life Project suggests that some U.S. Internet users might be sticking with dialup not because they don’t have broadband options available to them, but simply because they aren’t interested in faster Internet access.

According to the survey of 1,553 U.S. Internet users conducted in April and May of this year, about 55 percent of adult Americans now have some sort of broadband Internet connection at home, which up from 47 percent at the same time in 2007. These figures have been accompanied by a sharp decline in the number of users who only have dial-up Internet access at home: according to the survey, just 10 percent of Americans now rely on dial-up Internet connections at home.

Recommended Videos

Although the report notes that the limited (or non-existent) availability of broadband Internet access in rural and outlying areas is one limiting factor on broadband adoption—along with service pricing that excludes many poor Americans—some 62 percent of current dial-up users say they simply aren’t interested in switching from their current connection methods to broadband. Asked what it would take to get them to switch to broadband Internet, 35 percent of dial-up users said broadband would have to be less expensive and 14 percent said broadband would have to be available where they live (this number jumped to 24 percent amongst rural users. But 35 percent of dial-up users said nothing was going to convince them to get broadband service.

The study also found that about 27 percent of adult Americans are not Internet users at all; these non-users tend to be older Americans and have lower incomes than online users. Only 10 percent non-Internet users say they’re interested in getting online, with a third of those users saying they’re just not interested.

Geoff Duncan
Former Contributor
Geoff Duncan writes, programs, edits, plays music, and delights in making software misbehave. He's probably the only member…
The next MacBook Air could arrive early next year, but OLED will have to wait
Apple’s next MacBook Air may look familiar on the outside, with M6 expected to be the main upgrade.
Computer, Electronics, Laptop

Apple may be about to give the MacBook Pro one of its biggest upgrades in years, but the MacBook Air apparently has to wait a little longer for its turn.

According to Bloomberg’s Mark Gurman, Apple is planning to refresh the MacBook Air in early 2027. The upcoming model is expected to stick with a non-OLED display, even as Apple prepares to move its higher-end MacBook Pro lineup to OLED and touch support.

Read more
Apple wants touchscreens on Macs, but its MacBook lineup could get weird
Between entry-level Pro models, high-performance machines, and future touchscreen versions, Apple's laptop lineup risks becoming more complicated than it needs to be.
Apple MacBook Air Pro logo sunlight

Apple's MacBook lineup could soon resemble a restaurant menu with 17 different ways to order a burger. The company is expanding its laptop range across more price points, performance levels, and display technologies, with OLED touchscreens potentially bringing another premium tier into the mix. That's great news for buyers who want options, but Apple's product lineup could use a little decluttering before things get silly.

Apple's MacBook lineup has a growing identity problem

Read more
Moonshot tells Kimi AI to code away, but leave the hacking alone
Moonshot is clipping Kimi AI’s hacking wings before letting it loose
Moonshot AI

Chinese AI startup Moonshot AI is deliberately limiting the hacking capabilities of its latest artificial intelligence model, highlighting a growing dilemma for the industry: how do companies make AI more powerful without making cyberattacks easier to carry out?

The company introduced Kimi K3.1 Pro on October 24, describing it as a highly capable, open-weight model with around 3 trillion parameters. Unlike conventional AI services that operate entirely through a provider's servers, open-weight models allow developers to download the underlying model files, run them on their own systems, and modify how they work.

Read more