While “the cloud” may be the tech buzzword of the year, many Americans remain foggy about what the cloud really is and how it works.
A new national survey by Wakefield Research, commissioned by Citrix, showed that most respondents believe the cloud is related to weather, while some referred to pillows, drugs and toilet paper. Those in the know claim working from home in their “birthday suit” is the cloud’s greatest advantage. The good news is that even those that don’t know exactly what the cloud is recognize its economic benefits and think the cloud is a catalyst for small business growth.
The survey of more than 1,000 American adults was conducted in August 2012 by Wakefield Research and shows that while the cloud is widely used, it is still misunderstood.
For example, 51 percent of respondents, including a majority of Millennials, believe stormy weather can interfere with cloud computing.
Nearly one third see the cloud as a thing of the future, yet 97 percent are actually using cloud services today via online shopping, banking, social networking and file sharing.
Despite this confusion, three in five (59 percent) believe the “workplace of the future” will exist entirely in the cloud, which indicates people feel it’s time to figure out the cloud or risk being left behind in their professional lives.
These survey responses show there is a significant disconnect between what Americans know, what they pretend to know, and what they actually do when it comes to cloud computing.
Among the key findings:
- People feign knowledge about the cloud: One in five Americans (22 percent) admit that they’ve pretended to know what the cloud is or how it works. Some of the false claims take place during work hours, with one third of these respondents faking an understanding of the cloud in the office and another 14 percent doing so during a job interview. Interestingly, an additional 17 percent have pretended to know what the cloud was during a first date. Younger Americans are most likely to pretend to know what the cloud is and how it works (36 percent ages 18-29, 18% ages 30 and older), as are Americans in the West (28 percent West, 22 percent U.S.)
- You’re not alone: While many admit they don’t understand the cloud, 56 percent of respondents say they think other people refer to cloud computing in conversation when they really don’t know what they are talking about.
- What is it, anyway?: When asked what “the cloud” is, a majority responded it’s either an actual cloud (specifically a “fluffy white thing”), the sky or something related to the weather (29 percent). Only 16 percent said they think of a computer network to store, access and share data from Internet-connected devices. Some of the other verbatim responses include:Toilet paper, pillow, smoke, outerspace, cyberspace, mysterious network, unreliable, security, sadness, relaxed, overused, oh goody a hacker’s dream, storage, movies, money, memory, back-up, joy, innovation, drugs, heaven and a place to meet.
- Many use it, few understand it: A majority of Americans (54 percent) claim to never use cloud computing. However, 95 percent of this group actually does use the cloud. Specifically, 65 percent bank online, 63 percent shop online, 58 percent use social networking sites such as Facebook or Twitter, 45 percent have played online games, 29 percent store photos online, 22 percent store music or videos online, and 19 percent use online file-sharing. All of these services are cloud based. Even when people don’t think they’re using the cloud, they really are.
- Can the cloud save the economy?: Even though many Americans don’t know exactly what the cloud does, they see its silver lining. Most Americans (68 percent) recognize the economic benefits after learning more about the cloud. The most recognized benefits are that the cloud helps consumers by lowering costs (35 percent), spurs small business growth (32 percent) and boosts customer engagement for businesses (35 percent). Millennials are most likely to believe that the cloud generates jobs (26 percent Millennials, 19 percent Boomers).
- Softer advantages, like working from home in the buff: People offered additional, unexpected benefits of the cloud, including the ability to access work information from home in their “birthday suit” (40 percent); tanning on the beach and accessing computer files at the same time (33 percent); keeping embarrassing videos off of their personal hard drive (25 percent); and sharing information with people they’d rather not interact with in person (35 percent).
- Concerns include cost, security, privacy: Despite these advantages, Americans still have reasons why they limit their use of cloud computing or avoid it entirely. Among those who hardly ever or never use the cloud, the top three deterrents are cost (34 percent), security concerns (32 percent) and privacy concerns (31 percent).
“This survey clearly shows that the cloud phenomenon is taking root in our mainstream culture, yet there is still a wide gap between the perceptions and realities of cloud computing,” said Kim DeCarlis, VP of Corporate Marketing at Citrix. “While significant market changes like this take time, the transition from the PC era to the cloud era is happening at a remarkable pace. The most important takeaway from this survey is that the cloud is viewed favorably by the majority of Americans, and when people learn more about the cloud they understand it can vastly improve the balance between their work and personal lives.”
Methodology:
The Citrix Cloud Survey was conducted by Wakefield Research among 1,006 nationally representative American adults ages 18 and older, between Aug. 2-7, 2012, using an email invitation and an online survey. Quotas have been set to ensure reliable and accurate representation of the U.S. adult population 18 and older.
Results of any sample are subject to sampling variation. The magnitude of the variation is measurable and is affected by the number of interviews and the level of the percentages expressing the results. For the interviews conducted in this particular study, the chances are 95 in 100 that a survey result does not vary, plus or minus, by more than 3.1 percentage points from the result that would be obtained if interviews had been conducted with all persons in the universe represented by the sample.
Hot Topic
The Latest
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...