The Great Restructure
It all begins with an idea.
Urgency and AI: Momentum, Fear, and the Real Challenge Ahead
Urgency is an interesting force. Biologically, it's simple: A need arises, and the body quickly reacts. In business, urgency often travels with its twin companions—momentum and fear. More precisely, momentum fueled by fear—of missing out, falling behind, or worse, becoming obsolete.
Since late 2023, these forces have been accelerating as the business world grapples with the latest wave of AI tools.
Suddenly, urgency is everywhere—the urgency to launch a proof of concept (POC), the urgency to implement, the urgency to develop the right strategy. But in the rush, businesses risk losing sight of the fundamental principles of tech adoption: value and utility.
Many stop at “We must use this” and fail to ask the more critical questions: “What is the best way to use this?” and “How will we ensure its use creates value?”
2025 will mark a turning point—businesses will move beyond merely experimenting with Agentic AI and begin addressing how to extract real value from it. But success won’t come from simply integrating isolated tech solutions into workflows. It will require a fundamental shift in perspective—a true revolution in ways of working, one with world-altering consequences.
The Labor Problem: Misconceptions and Realities
It drives me nuts when discussions about AI focus solely on two extremes: either building a new generation of high-tech slaves or simply creating the next generation of spam.
Equally frustrating is the collective fixation on AI as a harbinger of mass unemployment.
Will AI displace jobs? Yes.
Will it reshape the economy? Absolutely.
Is AI coming for every job on the planet? Let’s talk about it.
AI Is Not “Smart”—It’s Capable
First, let’s ground ourselves in reality: AI isn’t “smart.” AI is capable—it excels at tasks it has been trained on and can learn within defined parameters. The more useful way to think about AI is not as taking jobs but as taking tasks.
A study by Harvard Business Review and Evercore ISI found that GenAI tools could enhance productivity by displacing 32% of job functions across the U.S. economy.
To put this in perspective, consider how much of your job today involves using tools. Whether you're operating an earthmover, working in Excel, drafting documents in Google Docs, or simply using a computer—we all use tools. Yet, we don’t see them as replacing human work; we see them as making our jobs easier, more efficient, and more productive.
This is true for any technology that is both convenient and additive. Humans adopt tools that make our lives easier—sometimes without a second thought. If you have a strong reaction to that statement ask yourself when was the last time you read a service agreement when downloading an app or signing up for a service. For most of us, the answer is never.
AI and Human Work: A New Kind of Teaming
AI will revolutionize work not by replacing humans outright but by shifting how we collaborate with technology. This shift will require AI+human teaming—a concept that is new for digital jobs but long familiar in blue-collar industries and within healthcare settings.
For years, humans have worked alongside AI-assisted mechanisms, from car factory floors to surgical suites. The key difference with Agentic AI is that it doesn’t just assist—it can fully own certain tasks, allowing for a balance of human and machine primacy depending on the situation.
AI excels at prediction, data management, and analysis.
Humans excel at critical thinking, shaping outcomes, and interpreting context.
When combined, AI and human workers fill each other’s gaps, much like two skilled professionals collaborating to solve a problem. The most productive AI implementations will treat AI not as a subordinate tool, but as a thought partner—one that can generate insights, offer suggestions, and perform tasks in ways that complement human intelligence.
This marks a departure from the traditional “master/slave” dynamic of tools. Unlike an Excel macro that follows exact instructions, Agentic AI operates within defined conditions yet retains the ability to suggest or execute solutions that diverge from human expectations.
The introduction of any highly capable system—human or machine—raises the bar for everyone around it. This means that as AI takes on certain tasks, humans must lean into their uniquely human strengths:
Critical thinking
Empathy
Problem-solving
Emotional intelligence
Social engineering
Creativity
Hollywood as a Case Study
Over the past two decades, three major trends have reshaped entertainment: MMORPG video games, superhero films, and ultra-popular fantasy/sci-fi content have dominated film and television. All demand the creation of expansive, interactive worlds, a need that led to the development of Unreal Engine, a 3D tool powered by AI that generates realistic environments, simulates movement and creates smart objects.
The shift was paradigm-breaking: instead of requiring hundreds of artists to render every detail, AI-driven tools enabled small teams of skilled creatives to do exponentially more work.
How did the industry react? With a strike.
While the 2023 Hollywood strikes weren’t solely about AI, a major demand was clearer safeguards on AI use. Today, even the Oscars are considering AI disclosure rules after three Best Picture nominees revealed they used AI in production.
As AI adoption increases across industries, we can expect similar reactions from labor forces. Though widespread strikes are unlikely—particularly in the U.S., where labor protections are weakening- it is more likely that there will be silent resistance from employees reluctant to use AI tools. These “holdouts” could hinder companies from fully realizing AI’s value.
How Businesses Can Address AI-Driven Job Fears
We’ve already established a key insight: people will adopt anything convenient and additive. Businesses should design AI use cases with this in mind.
To mitigate job displacement fears, companies must:
Ensure AI is driving real value
Employees are less resistant when AI helps them rather than threatens them.
AI should be seen as a tool for empowerment, not a mechanism for replacement.
Build the right infrastructure for AI adoption
AI is not “set-and-forget” technology.
It requires human oversight for maintenance, monitoring, and refinement.
Models drift, fail, and have knowledge gaps—human intervention is essential.
Acknowledge that AI depends on human labor
The myth that AI only needs humans for initial training will lead businesses astray.
Ongoing human involvement is necessary to optimize performance and governance.
In 2025, we’ll see companies internalizing these lessons. Expect the emergence of structured AI review processes, new roles for AI oversight, and stronger governance frameworks—especially in highly regulated industries, where defining AI’s role in workflows will be critical.
The future of AI isn’t about machines replacing humans—it’s about humans working alongside machines in a fundamentally new way. The companies that embrace this shift will lead, while those that resist or are too aggressive in cutting human staff will find themselves left behind.
Key Takeaways
The current class of AI is more likely to displace tasks than entire jobs. Companies that rush to replace humans with AI will face operational challenges, as most job functions still require the application of human skill sets.
AI adoption should focus on creating real value. Businesses must assess existing workflows and collaborate with employees to identify AI applications that enhance productivity rather than disrupt it. Partnering with existing employees will enhance both uptake and value and is a vital part of defining the AI+ human teaming norms that will define the modern era of work.
Governance will be a defining priority. As AI moves beyond experimentation, new roles, protocols, and frameworks will emerge to balance risk mitigation with value creation.
Disclaimer: The opinions expressed in this blog are my own and do not necessarily reflect the views or policies of my employer or any company I have ever been associated with. I am writing this in my personal capacity and not as a representative of any company.
About this Article
As a graduate of the University of Missouri School of Journalism, I understand the value of strong editorial oversight. While I crafted the initial draft of this article, I recognize that refining complex narratives benefits from a meticulous editing process.
To enhance clarity, cohesion, and overall readability, I collaborated with The Editorial Eye, a ChatGPT-based AI designed to function as a newspaper editor. According to the tool, its refinements aimed to “enhance readability, strengthen argument flow, and polish phrasing while preserving the original intent.”
However, the editing did not stop there. After reviewing the AI-assisted revisions, I conducted a final pass to ensure the article accurately reflected my voice and intent. The AI did not generate new ideas or content; rather, it helped refine my original work.
What you see here is the product of a thoughtful collaboration between human insight and AI-driven editorial support.