First, What Is Agentic AI?
Before diving into the problem, it’s important to understand what makes 'agentic' AI different. Unlike a simple chatbot or a generative AI that creates text or images on command, an agentic system can act with a degree of autonomy. Think of it less as
a tool and more as a digital collaborator. These systems can perform multi-step tasks, make decisions, and interact with other software to achieve a goal, like managing procurement or coordinating parts of a software development process. The promise is immense: automating complex, tedious work to free up human employees for more strategic thinking.
The Paradoxical Productivity Plunge
Given its power, the expectation is that agentic AI would be a massive productivity driver. However, McKinsey's 'Technology Trends Outlook 2026' report uncovered a counterintuitive reality: productivity fell at approximately 30% of companies after they started using these advanced AI systems. This has been especially noted in software development, where teams generate more code without necessarily shipping more products. One study cited by McKinsey found that while AI tools boosted coding activity by 180%, actual product releases only increased by 30%. This highlights a critical disconnect between activity and value.
It's The Process, Not The Platform
The report makes it clear that the fault doesn't lie with the AI itself. The problem is that companies are inserting this powerful new technology into old, unchanged workflows. It's like replacing a horse with a Formula 1 car but keeping the bumpy, unpaved cart path. You won't get the speed you paid for, and you'll probably cause a few crashes. McKinsey's research found a strong correlation between financial impact from AI and workflow redesign, yet it's a step that many organizations skip. Simply adding an AI agent to an existing, inefficient process often creates more friction and coordination problems, leading to the observed productivity decline.
How Winning Companies Get It Right
So, what are the other 70% of companies doing differently? According to McKinsey, the highest-performing organizations are not just adopting AI; they are redesigning their operations around it. This means fundamentally rethinking how work gets done. Instead of just automating a single task, they analyze the entire end-to-end process and rebuild it with AI capabilities at the core. This could involve changing team structures, eliminating manual approval steps, and creating new protocols for how humans and AI agents hand off work to each other. The companies that see real returns are those that treat AI as an organizational transformation, not just a technology upgrade.
A Matter of Trust and Strategy
Another hurdle is human acceptance. The McKinsey report notes a significant trust gap, with 46% of software developers actively distrusting the accuracy of AI tools, compared to only 33% who trust them. Overcoming this requires more than just a mandate; it demands a clear strategy that includes employees in the redesign process. The key takeaway from the report is that the value of agentic AI is not unlocked by simply purchasing the technology. It is realized through deliberate, strategic changes to the fundamental ways a company operates. Those who focus on the underlying mechanism of workflow will see productivity gains, while those who don't will continue to wonder why their powerful new tools aren't working.
