The VienerX Newsletter

For the full experience, please click the view in browser option located in the top right, or enable media for this email.

At VienerX, we prioritize keeping up with technology trends, and there simply has been nothing in the 35-year history of our organization like the rapid advancement and adoption of artificial intelligence. While there is still plenty of reason for skepticism, as we covered in our last newsletter (you can read that edition here), the AI market continues to grow and change at an unprecedented pace. Here are just a couple of the stories that caught our eye over the last two weeks.

World-famous fast food chain Burger King made waves last week as it announced the rollout of “Patty,” an AI bot powered by OpenAI, with an unusual job. Patty, which piloted late last year and is now being launched at 500 locations in a wider test, is expected to be in all restaurants by the end of 2026 and lives in the employees’ headsets. Its first job is a little more predictable: helping management track inventory and answering questions for new employees. Its second role is what is attracting more attention.

Patty is also monitoring employee “friendliness,” tracking the use of key phrases such as “Welcome to Burger King” and “Thank you.” This programming has attracted its fair share of criticism, including a tsunami of negative comments on Reddit’s popular r/technology forum. In response, Burger King Chief Digital Officer Thibault Roux emphasized that the AI bot is still in testing and being “tinkered with.” Roux also stressed that data is anonymous and taken in aggregate on a location-wide basis, adding that the AI does not need to be interacted with by employees to do its job, and that information will be shared with managers through a composite scoring system.

Regardless of anyone’s thoughts on the technology, this raises pertinent questions about the ethics of AI that will need to be answered sooner rather than later. What is considered fair and right regarding employee monitoring, and a host of other issues, is something that will need to be determined quickly as the technology becomes more widely used.

Anthropic, the maker of Claude, had been keeping a low profile. While OpenAI, Google, and Meta attempted to rush to the front of the consumer market, Anthropic worked to corner the market on enterprise-facing solutions. That changed on Super Bowl Sunday as the company made an enormous splash with two commercials taking aim at ChatGPT’s integration of ads.

Few companies have ever seen an explosion of growth like Claude, which, in the last four months, has seen a staggering market value increase from $61 billion to $183 billion.

What makes that growth particularly notable is how it happened. Rather than chasing consumer adoption, Anthropic doubled down on reliability and enterprise trust — positioning Claude not just as a chatbot, but as corporate infrastructure. Large organizations increasingly view AI less as a novelty and more as a productivity tool embedded into workflows, documentation, analytics, and compliance. By focusing on controllability, safety guardrails, and structured enterprise integrations, Claude carved out a reputation as the “serious” AI, the one CIOs felt comfortable using at scale.

The Super Bowl moment signaled something bigger than marketing. It marked a pivot from quiet enterprise dominance to public confidence. Anthropic appears to believe it has built enough depth in capability, stability, and commercial adoption to step onto the main stage. If early indicators are accurate, Claude’s market share gains suggest that in the AI race, the slow, disciplined build may ultimately prove more durable than the loudest launch.

Artificial intelligence company Anthropic is reportedly pushing back against elements within the United States Department of Defense over how its models may be used in military applications. The tension highlights a growing divide in the AI industry: how closely should frontier AI companies align with national defense?

Anthropic has positioned itself as a safety-first AI developer, emphasizing controlled deployment, responsible use, and strict guardrails. As the Pentagon accelerates AI adoption for logistics, cybersecurity, intelligence analysis, and battlefield decision support, questions arise about autonomy, oversight, and lethal applications.

This is not simply a contract dispute. It represents a broader moment in the AI era. As governments recognize AI as strategic infrastructure, companies must decide where they draw ethical and operational boundaries. The outcome will shape not only defense policy but the future relationship between Silicon Valley and Washington.

AI is no longer experimental. It is geopolitical. And the rules are still being written.

We are all worried about what comes next. That anxiety is not new. Historians like Arnold J. Toynbee argued that civilizations rise or fall based on how they respond to challenge. Economists like Joseph Schumpeter described growth as a process of creative destruction, where old systems give way to new ones. The pattern across history is consistent: great societies endure when adaptation outpaces decline.

America’s experience since 1800 follows that pattern with unusual clarity.

At the dawn of the nineteenth century, the United States was a coastal republic of roughly five million people. The economy was overwhelmingly agricultural. Wealth was measured in land, livestock, timber, and river access. Then came the Louisiana Purchase. In one stroke, the nation doubled its territory. But the true expansion was not geographic alone. It was economic and psychological.

The first phase of westward growth, from 1803 to the Civil War, was a movement of settlement and subsistence. Farmers crossed the Mississippi River, whose name derives from an Algonquian phrase meaning “Great River.” Small towns emerged along river systems. Frontier agriculture pushed into Ohio, Indiana, Illinois, Missouri, and beyond. Steamboats transformed trade corridors. Cotton in the South and grain in the Midwest tied the interior to global markets. This was a land-driven expansion, and it fueled population growth that rose from five million in 1800 to more than thirty million by 1860.

The second phase, from 1865 to 1890, was industrialized expansion. The Homestead Act offered land to settlers willing to cultivate it. Railroads stretched across the Plains, compressing time and distance. Steel production surged. Immigrants poured in, many moving directly west rather than stopping in eastern cities. Millions crossed the Mississippi during this period, and by 1890 the Census declared the frontier “closed.” What had begun as a narrow Atlantic republic had become a continental economic system.

This expansion did more than add acreage. It created scale. Scale allowed industrialization. Rail lines fed factories. Factories fed cities. By 1900, agriculture still employed roughly 38 percent of the workforce, but manufacturing was rising rapidly. America was transitioning from the Land Era to the Machine Era.

That shift was disruptive. Farmers left fields for factory floors. Urbanization accelerated. Labor conflict intensified. The transformation propelled the nation into global industrial leadership.

Then came another moment of doubt. By the 1970s, inflation, oil shocks, and factory closures fueled predictions of permanent decline. Nixon had price freezes and Carter called the national tone a “malaise”.  Manufacturing employment had peaked and began to fall as a share of the workforce. Agriculture had already shrunk to only a few percent of total employment. Productivity had once again changed the equation. Fewer workers were needed to produce more goods.

It was in the wake of that anxiety that Ronald Reagan spoke of renewal in 1980 and then framed 1984 as “Morning in America.” The phrase resonated because it reflected something deeper than campaign optimism. The Information Era was emerging. Services, finance, healthcare, logistics, and technology were expanding. Labor shifted again, not because the nation stopped producing, but because it learned to produce more with fewer hands.

The story did not end in the 1980’s. It accelerated.

The long expansion that followed reshaped the American economy yet again. The Cold War ended. Capital flowed more freely. The personal computer moved from office desks to kitchen tables. The internet connected the country and then the world. Productivity surged in the 1990s. By the time the calendar turned to Y2K, the United States had completed another reinvention.

The downturns came, as they always do. The dot-com collapse. The shock of 9/11. The financial crisis of 2008. Each moment felt final. Each carried predictions that the American era had peaked. Yet in every case, decline moved faster than fear but slower than adaptation. The system adjusted. Capital reorganized. Innovation resumed.

By the second decade of the twenty-first century, the Technology Age had done something unprecedented. It placed nearly all human knowledge into the palm of a hand. Supply chains became digital. Commerce became mobile. Media became decentralized. Entire industries rose and fell in a decade. The speed increased, but the pattern remained the same.

Time and again, when reinvention has outpaced decline, morning has followed.

There is no reason to believe that pattern has ended.

By: VienerX Technology Generalist Bill Lioresis

The following is an opinion piece. VienerX is not affiliated with LocalSend and does not endorse or formally support the product.

In this newsleter, we launch the first in a series of personal recommendations from our VienerX technicians. Today, we are going to discuss a free piece of software that allows you to near instantly transfer files between different devices without emailing yourself.

When we look at the modern worker, the average office employee might have a powerful desktop, a MacBook or laptop, maybe a tablet, and a smartphone. All of these devices are fast, powerful, and built for productivity. Yet somehow, transferring a single file between them can be a hassle. You end up emailing yourself, uploading to a cloud service, or plugging in cables that only work half the time. How did this become such a mess?

In today’s world, simple file transfers between your devices shouldn’t require creating accounts, entering login codes, or exercising a world of patience. It should be as easy as clicking a few buttons. That’s where an app called LocalSend comes in.

LocalSend works much like AirDrop, but without being locked into the Apple ecosystem. It’s available on nearly every major platform: Windows, macOS, Android, iOS, and Linux. Best of all, it’s simple to install and easy to use.

Installing LocalSend is straightforward. Every device you plan to share files between must have the app installed and open. You can download it from your device’s app store or directly from the website if you are using a desktop or laptop.

Once installed, make sure all devices are connected to the same network. LocalSend works over your local Wi-Fi or LAN, so if devices are on different networks, they will not detect one another.

It’s especially useful for quick transfers, sending pictures, sharing documents, or even copying and pasting text between devices without relying on email or cloud storage.

In business settings, a prominent use case may be meetings. Instead of emailing files during a meeting and waiting for everyone to download it on their own emails on different timelines, a person can just asking everyone to open LocalSend and quickly do a group share. Everyone has the files and the meeting can continue in earnest.

That’s it. No account setup. No complicated configuration. Just install, connect, and send. Happy sending!