<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=1110556&amp;fmt=gif">
Skip to content
    April 25, 2025

    AI Apocalypse? Don't Believe the Hype!

    SPM Mythbusters Series

    4 min read

    Key Takeaways
    • Find out how widespread panic about AI taking over jobs is overblown.
    • See how technology shifts are a repeating cycle, not singular events.
    • Focus on business outcomes, not just AI adoption, to realize real value.

    "The robots are coming to steal our jobs!" Sound familiar? The news is filled with stories of AI revolutionizing industries, and it's easy to get caught up in the fear. But before you start panicking, let's take a deep breath and remember that we've been here before.

    The deja vu of tech revolutions

    From the mainframe era to the rise of the internet, we've seen countless technology shifts, each promising to change everything. Remember the Y2K bug? The rise of mobile? The cloud? Each time, there was hype, followed by concern, followed by...adaptation. We learned new skills, new roles emerged, and the world kept spinning. AI is simply the latest iteration of this ongoing cycle.

    The myth of effortless AI

    The biggest misconception is that simply adopting AI will automatically transform your business. Organizations feel pressured to implement AI strategies, often without a clear understanding of how it will generate actual value. As a result, they end up chasing short-term outputs, such as writing code 30% faster, rather than focusing on long-term outcomes, like increasing profits.

    More output, not more outcome

    It's crucial to distinguish between improved efficiency and tangible business results. Can AI speed up content creation? Possibly. But does that mean you'll see a corresponding increase in sales or customer engagement? That's the question you should be asking. Without a clear link between AI-driven efficiencies and strategic goals, you're just polishing the wrong brass.

    The human element (still matters!)

    The idea of AI eliminating jobs is often exaggerated. History shows that technology leads to a shift in the types of jobs, not their complete annihilation. The assembly lines were once manned, now there are people maintaining the machines that assemble cars. AI might not eliminate programmers, but it could create new demand for roles that manage and interpret AI output.

    The bottom line: Dollars and sense

    AI costs money. Resources, energy, and data all cost money. Any business trying to embrace AI must account for costs of the system. Furthermore, not all tasks justify the expense of using AI. Some roles will always be better (and more cost-effective) with a human touch.

    The myth of originality

    AI excels at combining existing data to generate new content, but it struggles to create genuinely new ideas. It can't invent the wheel. It can only build on what already exists. The output is often repetitive and lacks true originality.

    Stop chasing hype, start thinking strategically

    Instead of blindly adopting every AI trend, start by defining your business objectives. Where do you want to be in three, five, or 10 years? How can AI help you achieve those goals? What resources are you going to allocate to its success? Here are some key principles:

    • Focus on outcomes: Don't just measure efficiency gains. Track the impact of AI on your key business metrics.
    • Embrace adaptation: Be willing to adjust your strategy as AI technology evolves.
    • Prioritize collaboration: Foster communication between IT, finance, and business units.

    AI is a powerful tool. But it's just that: a tool. By focusing on outcomes, embracing adaptability, and prioritizing collaboration, you can harness the power of AI to achieve your business goals and silence the apocalyptic chatter.

    Brian Nathanson

    Brian Nathanson is a recovering certified Project Management Professional now serving as the Head of Product Management Clarity at Broadcom. He is the host of several popular Clarity-related customer webcasts (Office Hours, Release Previews, and the End-to-End Modern UX Demos) and has conducted many hours of both...

    Other Resources You might be interested In

    icon
    Video September 5, 2025

    Automic Automation Cloud Integrations: Azure Functions Agent Integration

    Broadcom's Azure Functions Automation Agent lets you easily execute Azure Functions, monitor and manage them with your existing enterprise workload automation, as well as other cloud-native...

    icon
    Blog September 4, 2025

    The Public Internet Is Not Your WAN

    Moving beyond MPLS was a strategic necessity. To succeed in modern environments, you need to stop guessing about internet performance and start measuring it.

    icon
    Blog September 4, 2025

    Introducing AAI 24.3: Aligning Automation With the True Rhythm of Your Business

    Learn about Automation Analytics & Intelligence (AAI) 24.3, a landmark release that brings unparalleled power, control, and insight to automation management.

    icon
    Blog September 3, 2025

    Weaving AppNeta Experience Insights into DX NetOps: A Step-by-Step Guide

    Find out why the integration of DX NetOps and AppNeta is such a game-changer. Give teams a unified view of what’s really happening—wherever it’s happening.

    icon
    Blog September 2, 2025

    Your Network Disaster Recovery Plan is Only as Good as its Execution

    This post examines how network configuration management (NCM) plays an essential role in the execution of your disaster recovery plan (DRP).

    icon
    Office Hours August 29, 2025

    Rally Office Hours: August 21, 2025

    See how you can use AI to create a custom HTML widget in Rally, then follow the weekly Q&A session with Rally product experts.

    icon
    Blog August 22, 2025

    Handling Incomplete User Stories at the End of an Iteration

    When a team reaches the end of an iteration, some user stories may not be completed. This post details causes and options for managing these scenarios.

    icon
    Blog August 20, 2025

    What’s Hiding in Your Wiring Closets?

    See why you must move from periodic audits to a state of perpetual awareness. Track every change, validate it against policy, and understand its impact.

    icon
    Blog August 15, 2025

    All Network Monitoring Tools Are Created Equal, Right?

    See how observability platforms provide a unified view across multi-vendor environments and correlate network configuration changes with performance issues.