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Key Takeaways
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- See how the rise of AI, hybrid work, and IT skills shortages are creating unprecedented demands.
- Find out why traditional network monitoring, which is focused on infrastructure you control, is now insufficient.
- Adopt a network observability strategy, which is essential to ensure performance across today's digital ecosystem.
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For decades, the corporate network has been the central nervous system of the enterprise. It’s the invisible, indispensable fabric that connects everything. And for just as long, the conversation has been about its growing complexity. But today, something feels different. You are no longer dealing with a predictable, manageable evolution. Instead, three immense, converging forces are creating a perfect storm, pushing traditional network management approaches to their breaking point.
This isn’t about a single new technology or a passing trend. This is a fundamental shift in how your business operates, how your employees work, and how your future will be defined. The question is whether your visibility into the network can keep pace. The sections below offer a look at the three key trends that are now fundamentally changing network operations.
The coming AI traffic tsunami
Do you remember when voice and video streaming first went mainstream? You likely saw network traffic patterns shift in ways never before anticipated. You had to scramble to re-architect, add bandwidth, and implement quality-of-service policies just to keep critical applications running smoothly. It was a valuable lesson in how quickly user behavior can reshape infrastructure demands.
Now, history is repeating itself, but on a much grander scale. The democratization of generative AI is placing incredibly powerful tools in the hands of every employee. While enterprises are investing heavily in AI to improve customer service and automate tasks, this revolution has a voracious appetite for network resources. AI workloads, particularly for training and running generative models, create intense, "bursty" traffic that strains traditional network infrastructure. A recent report from Palo Alto Networks revealed that generative AI traffic within enterprises surged by over 890% in 2024. This isn't just another application; it's a new class of network demand that is far less predictable than video streaming ever was.
The great office re-onboarding
The second major force is the complex reality of the hybrid work model. The "return to the office" was never going to be a simple flip of a switch, and the network is feeling the strain of this new, unpredictable rhythm. Your corporate office is no longer a fortress with a clearly defined perimeter; it’s more like a dynamic hub with a constantly fluctuating population.
One day, the office might be a ghost town, and the next, it’s at full capacity, with every employee expecting flawless Wi-Fi and seamless access to cloud applications. Hybrid workers don't just move between home and the office; they move within the office, spending more time in collaborative spaces and meetings, demanding robust mobile connectivity everywhere.
This has created new mobility requirements that are forcing teams to upgrade their Wi-Fi networks. However, this isn't just about adding more access points. Managing security policies across on-premises and remote environments has become a significant challenge, with many organizations struggling to unify access controls. This creates friction for users and security risks for the business.
The widening talent chasm
As these new pressures mount, a third force comes into play: a growing shortage of skilled engineers. The modern network is no longer a single, neat system; it's a sprawling combination of multi-cloud environments, SD-WAN technologies, mobile devices, and containerized applications. An immense amount of expertise is required to design, manage, and secure this landscape.
Unfortunately, the pool of available talent is not keeping pace with this explosion in complexity. According to a forecast by International Data Corporation (IDC), more than 90% of organizations worldwide will feel the pain of the IT skills crisis by 2026, creating a massive barrier to innovation and even routine maintenance. This isn't just about finding people; it's about the fact that human-led, manual troubleshooting is no longer a sustainable strategy. You are placing an unsustainable burden on your engineers by forcing them to manually piece together data from dozens of disconnected tools to find a single root cause. This process is slow, frustrating, and ultimately ineffective in such a dynamic environment. As a result, the job market itself is shifting. Organizations are demanding advanced skills in automation, cloud networking, and AI-driven systems just to stay competitive.
From monitoring to understanding
For years, the standard has been to rely on network monitoring focused on the infrastructure you own and control. This approach is like the check-engine light in your car: it tells you that a problem exists within your four walls, but offers little insight into why it's happening. Monitoring is reactive; it checks for known problems based on predefined thresholds within your data center.
But today the most critical parts of your service delivery path are outside your control. The internet has become your new enterprise network. Your applications run in the cloud, your network depends on dozens of third-party providers, and your users connect from anywhere. Your traditional monitoring tools are blind to this new reality. Your internal dashboards may show that all status indicators are green, while users are unable to access a key application because of an ISP performance issue worlds away.
This is why observability is required. It is not just a fancier term for monitoring; it is a fundamental expansion of visibility beyond your perimeter. With observability, you can ask novel questions about network experience, such as "why are users in the London office experiencing poor application performance?" and get clear answers, even when the root cause is not in your data center. By correlating data from the entire digital supply chain—from the user's device, across ISP and cloud networks, to the application itself—it gives you a complete performance picture. It moves you from a reactive state of fixing what's broken to a proactive state of understanding your environment so deeply that you can anticipate and resolve issues before they have an impact on the business.
The convergence of AI, hybrid work models, and the IT talent crisis has permanently reshaped the operating environment. This is not a temporary challenge; it is the new climate for every business. In this new reality, where the internet effectively serves as your enterprise network, clinging to outdated management methods is a significant gamble. The critical question you must ask yourself is no longer whether you can afford to gain true visibility across your entire digital ecosystem, but whether you can possibly afford not to.
If you’re ready to explore the platforms and strategies that deliver clarity across the entire digital ecosystem, you can learn more at our Network Observability by Broadcom page.
