AI isn’t just reshaping work; it is rewriting the rules. Some jobs will disappear, consulting models are already breaking apart, and change work is being transformed at a scale we have never seen. This tag explores how practitioners and professionals can navigate the disruption: harnessing AI to extend capacity, experimenting with agent workflows, and rethinking what it means to deliver value. It is not about the glossy future; it is about the messy present and how to survive it.
AI can speed up change work, but it can also quietly erode the thinking behind it. New research suggests overreliance on AI creates “cognitive debt,” weakening judgment, recall, and sensemaking if we’re not intentional about how we use it.
Shared services are often the first place AI breaks—not because the tech fails, but because automation removes the human judgment holding complex systems together. When exceptions rise and authority stays centralized, shared services absorb the damage long before leaders see it.
As AI reshapes hiring, performance, and workforce decisions, HR is increasingly left managing risk and employee fallout rather than shaping outcomes. Without early influence over design and use, HR’s strategic role is quietly being reduced to governance and enforcement.
Copilot meeting notes are inaccurate, inefficient, and oddly unhelpful. They capture what was said, but miss what mattered. This piece explains why AI summaries fall flat, how they create the illusion of alignment, and how practitioners can turn raw AI output into real clarity and direction.
The problem with AI at work isn’t accuracy. It’s abundance. When everything sounds reasonable, nothing stands out. The result is a workplace full of motion, artifacts, and very few actual decisions.
AI is entering the change office—not to replace the work, but to reshape it. As automation takes on drafting, analysis, and tracking, the practitioner’s value moves to interpretation, guidance, and trust.
OpenAI’s Sora rollout flipped consent on its head, forcing creators to opt out of having their work used for training. It’s a subtle but sweeping power shift—one that redefines ownership in the age of AI.
AI wellness tools can nudge healthier habits, but they risk masking leadership failures. Real well-being depends on leaders who notice, listen, and care—not just dashboards and algorithms.
AI is moving workplace wellness beyond surveys and perks. By reading real-time work patterns and delivering subtle nudges, AI systems help prevent burnout, sustain performance, and open a new frontier for HR and change leaders.
Agentic AI isn’t just smarter assistance—it acts. By automating handoffs, preserving context, and accelerating cross-functional workflows, it’s reshaping how work gets done. Leaders must design for trust, governance, and accountability in this new operating model.
Employees face an AI anxiety paradox—fearful of job loss yet hopeful for relief through personalization, inclusivity, and automation. Leaders and change practitioners must embed wellness and trust into AI strategies to turn uncertainty into opportunity.
Tech giants are quietly cutting jobs as AI takes over core functions. This invisible restructuring isn’t a temporary correction—it’s a lasting shift that challenges leaders to balance efficiency with trust, culture, and resilience.
AI-first boutiques are eating the Big Four’s lunch—not with size, but with speed. This isn’t the end of consulting. It’s the rebirth. Learn how practitioners can outmaneuver legacy firms and turn disruption into opportunity.
AI assistants aren’t just speeding up tasks, they’re reshaping how we work, decide, and deliver. This article explores why the real competition isn’t about features, but about who controls the interface of modern work, and what change leaders need to do about it.
AI isn’t killing consulting—it’s exposing it. If your business model relies on slide decks and boilerplate insight, it’s time to evolve. Here’s what the Reddit backlash and GenAI stumbles are really telling us.
Shadow AI is spreading quietly across your org—reshaping workflows, risking data, and shifting culture. If you’re not tracking it, you’re not managing change. Here’s what it is, why it matters, and how to lead before it leads you.