Let me be clear: I’m optimistic about AI and the future of work. But optimism without awareness is just naivety dressed up in a vision statement.
As we step into 2026, I’ve collected five ideas that made me stop scrolling and start thinking—the concepts that challenge assumptions and force us to confront what’s actually changing in how we work.
Peter Drucker coined the term “knowledge worker” back in the 1960s to describe office workers who applied their expertise to develop products and services. He predicted that these workers would become the most valuable asset of 21st-century organizations. He was right. But the day-to-day reality of knowledge work looks nothing like what any of us imagined in the pre-smartphone, pre-AI era.
Living through it, we all know that 2025 was a year of genuine disruption. Not the buzzword kind that fills keynote speeches. Not the flash-in-the-pan fad or meme. But the kind that actually changes how our organizations and careers unfold. Here are five disruptions we can’t afford to ignore in 2026.
1. The Death of Middle Management
This wasn’t one article—it was a drumbeat all year. But Amazon’s November layoffs crystallized the message. When Amazon announced cuts to approximately 14,000 employees, the initial headlines focused on AI replacing jobs. But CEO Andy Jassy said something more telling on the earnings call: “The announcement we made a few days ago was not really financially driven, and it’s not even really AI-driven, not right now at least. It’s culture.”
Look at who was being cut. Not frontline workers. Not warehouse staff. The layoffs targeted middle managers, supervisors, analysts, and marketers. Companies want more doers and fewer people scheduling meetings about managing projects.
The social contract at work is shifting. Organizations are prioritizing flexibility, speed, and automation over long-term employment and traditional career progression. Roles we once considered “safe” because they required skill and education? Those assumptions no longer hold. Your MBA is not a force field.
Questions worth asking:
- How should AI and workforce changes shift the structure in your team or organization?
- Is your organization at the right level of flatness or hierarchy to achieve the results it needs?
- Do you need more doers and less management? Is middle management still serving its purpose, or should some roles shift?
2. The Impact of AI on Human Thinking and Decision-Making
I referenced this research in a recent newsletter, and I keep coming back to it. The headline from the MIT Media Lab study was blunt: “Bad brainwaves: ChatGPT makes you stupid.”
Researchers divided 54 participants into three groups and asked them to write SAT essays using ChatGPT, Google search, or nothing at all. They measured brain activity using EEG across 32 regions.
The ChatGPT users showed the lowest brain engagement and “consistently underperformed at neural, linguistic, and behavioral levels.” Over several months, participants got progressively lazier with each essay. By the third month, many were simply feeding the prompt to ChatGPT and submitting what came back with minimal editing.
Two English teachers who assessed these essays called them “soulless.”
I’m pro-AI. I use it daily. But this research carries a warning we can’t ignore, especially for younger workers still developing their professional judgment and critical thinking skills. The tool that makes work easier can also make thinking optional—and that’s a trade we can’t afford.
Questions worth asking:
- Where might your organization be falling into a laziness trap without realizing it?
- How do you recognize this pattern in your team—and address it constructively?
- What safeguards can you adopt to keep AI as a thinking partner rather than a thinking replacement?
3. The Rise of “Workslop”
“My favorite new word of 2025 was ‘workslop,’ introduced in a Harvard Business Review article, AI-Generated “Workslop” Is Destroying Productivity. Workslop is content that looks polished thanks to AI assistance but lacks real substance. It appears complete but is actually unhelpful or missing critical context. You know it when you see it: the deck that says nothing in 47 beautifully formatted slides, the report that answers questions nobody asked.
We’ve always been prone to shortcuts and busywork over careful thinking. But AI has supercharged our ability to produce sloppy work at scale. The hidden “workslop tax”—the extra work passed on to colleagues who need to fix or decode the slop—threatens the very productivity gains AI promises. Workslop doesn’t save time; it redistributes the burden to the person who is actually using the output.
Questions worth asking:
- Have you seen workslop in your organization, and how did you recognize it?
- Are you and your colleagues sometimes doing work that appears like work but shouldn’t exist at all?
- What best practices can you develop to avoid workslop, and how can you share them?
4. The Crisis of Sameness
Related to workslop but distinct is the flattening effect AI has on originality. Fast Company captured this brilliantly in “How AI is Creating a Crisis of Business Sameness.”
Filmmakers worry about “algorithm movies” shaped by recommendation engines rather than creative vision. In the corporate world, if we’re not careful, we’ll see “algorithm business”—strategy, operations, and culture smoothed out by the race to adopt AI. Everyone optimizing for the same signals ends up in the same bland middle.
Here’s what struck me most: research suggests that individuals can be more creative when using AI tools, but these tools often reduce the group’s collective diversity. When everyone uses the same tools the same way, we all start sounding alike.
When employees can no longer recognize their company’s voice in its own communications, engagement erodes in ways spreadsheets won’t capture.
I particularly loved the article’s recommendation to use “adversarial prompting” —don’t just ask AI for answers, ask it for the contrarian view, the blind spot, the uncomfortable perspective. Make it argue with you.
Questions worth asking:
- What makes your organization—or you—genuinely unique?
- How do you protect that uniqueness while still leveraging AI’s capabilities?
- Where should you establish AI-free zones?
5. The Case for Meritocracy
I came across this piece, “This Country Needs to Bring Back Meritocracy to Its Workplaces,” in the Calgary Herald. While it’s written about Canada specifically, it applies everywhere.
The author argues that we’ve quietly dismantled meritocracy—the simple idea that you work hard, perform well, and advance accordingly. We’ve replaced results-based evaluation with softer concepts like “collaboration,” “inclusivity,” and “balance.” In practice, the author contends, these have too often become euphemisms for avoiding conflict and diluting standards.
Many people see themselves surrounded by colleagues who do less, complain more, and receive the same recognition. That’s not a labor market issue. It’s a leadership issue.
The author’s prescription: reward performance, not presence. Recognize that employment law doesn’t require tolerating mediocrity; it demands fairness, not indulgence. You can be a great place to work and still reward results. This isn’t “assholes win by default”—it’s clarity about what excellence looks like and the courage to recognize it.
This matters even more for knowledge workers. The gap between adequate and excellent in knowledge work is enormous, but it’s harder to see. That makes intentional, merit-based evaluation essential. Without it, we lose our ability to recognize and reward the people who are actually moving the needle.
Questions worth asking:
- Are you running a merit-based team and organization? Are you rewarding results or checking boxes?
- How do you move toward more merit-based evaluation while remaining a great place to work?
- Do your people know what it means to “move the needle” in their roles—and are they clear on the organization’s goals?
Looking Ahead
None of these disruptions have easy answers. That’s precisely why they’re worth your attention—at the board level, the management level, and across the ranks of knowledge workers too.
Knowledge work is shifting beneath our feet. We can either pay attention to these changes and adapt thoughtfully, or we can be surprised by them later. The choice is yours: recognize these shifts, have real conversations at the senior levels, and bring them into your HR, governance, and operational practices.
Here’s to a great 2026 where we leverage the tools available to us while staying sharp, distinctive, and focused on what matters: delivering real value. The robots can generate the content. Let’s make sure humans are still doing the thinking.
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Risk Oversight helps organizations strengthen their internal audit, internal controls, and governance programs—with practical solutions tailored to your reality, not someone else’s. If you’re looking for support in 2026, let’s talk: adrienne@riskoversight.ca.