Is AI Killing BI? Yes...

A Personal Reflection on the Age of AI Agents

This is perhaps more of a reflective blog post - a deep dive into my thoughts on how rapidly AI is evolving and how it is gradually displacing Business Intelligence (BI) roles. Today is early April 2026. It’s been about four months since "Agent Skill" was first introduced, and everyone is buzzing about it, writing, talking, and developing products as if it were the ultimate phenomenon. From my personal perspective, it truly is "hot" because of the transformative power it brings to the way humans work.

I am genuinely anxious about my future career. I fear I’m not adapting fast enough and might be left behind. I worry that I’ve been in an environment that’s too "safe" while everything outside is moving at breakneck speed. I fear a moment will come when I step out into the job market only to find it has evolved past me. This post explores whether AI is replacing BI - a role typically defined by tasks such as building reports (Power BI, Tableau), data modeling, writing SQL queries to extract data, and designing workflows to automate company processes.

The "Cheat Code" Era

Four years ago, with the initial explosion of AI, I was ecstatic. I knew that with a tool possessing such a vast reservoir of knowledge, I would save an incredible amount of time compared to previous generations. Where they had to spend hours reading books, researching papers, or accumulating years of trial and error to gain experience, AI allows us to jump straight to the synthesized result. We can take those outcomes and focus immediately on self-development.

It feels like a "cheat code" (or a "bug skill") in a Wuxia or Manhwa story. You’re an ordinary person, but you have a special ability: whenever you touch someone, you instantly acquire the skills they’ve practiced for a lifetime. Of course, with AI, you only get the result - you still lack the experiential journey - but it is a massive leap in building a solid foundation to go further. In the four years since AI went mainstream, I’ve seen myself grow faster in both my professional work and general life knowledge just by interacting with it. I truly enjoyed that phase.

The Rise of AI Agents: A Timeline

The corporate world, organizational structures, and staffing remained relatively stable until AI's evolution reached the level of AI Agents. The first AI Agent products were introduced to the public around Q1 2025. Now, a year later, I am seeing AI actually start to replace people.

Q1 2025: The Introduction of Agent Frameworks

Microsoft led the way with Agent Flow and Copilot Studio. At the time, I saw them as cool additions to their ecosystem, but they were buggy, lacked platform integration, and felt far from enterprise-ready. I thought companies would still need to hire experts just to manage these tools.

Q2 2025: Browser Interaction

ChatGPT and Claude gained the ability to operate directly within a user's browser. I realized then that repetitive browser-based tasks were officially on the path to total automation.

Q3 2025: Google’s "Antigravity"

Google introduced Antigravity, allowing developers to use AI natively within their IDEs. I knew the IT sector was in for a massive shift - AI was now embedded in every code file. If you weren't using AI, your productivity simply couldn't compete. But back then, I thought back-office teams in other departments were still safe.

Q4 2025: Anthropic’s "Agent Skill"

This was the turning point. "Agent Skill" meant I could essentially clone myself into a digital entity that could perform my tasks on a computer exactly as I would.

Q1 2026: Maturity and Mass Restructuring

As protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) matured, major corporations began large-scale restructuring. In early 2026, Oracle announced a reduction of 30,000 staff, Amazon cut 16,000 positions, and Block (Jack Dorsey) laid off 4,000 people to transition to an AI-driven operating model. This forced me to look seriously at my own job. AI could now perform every single task I did on a computer. I tested it myself, and frankly, the feeling was a mix of anxiety, fear, and a strange kind of excitement.

It feels like receiving a tip about a high-potential opportunity, but realizing that everyone else got the same tip. The game has become a race: whoever runs fastest wins.

Is AI Killing BI?

My answer is Yes. AI is killing the "report maker" role. And it is likely to replace the "analyst" as well once the technology fully matures. These agents possess full analytical capabilities - from descriptive to prescriptive. They can conduct market research in five minutes then recommend the boss actionable insights.

Think about it: why would a company hire an analyst for $1,000 - $1,500 a month when a Claude subscription costs only $20?

AI is no longer just the "Chatbot" of two years ago. Whether it's compiling Excel reports from multiple sources, building dashboards in Power BI or Looker, or setting up automated company workflows - AI can do it all, and faster than you. We often hear the saying, "AI won't replace you, but the person using AI will." I think it’s both. If one person plus AI can replace a team of 3 or 4, then "AI replacing you" is an objective reality for those remaining slots.

As a BI professional in the current landscape: What are you preparing today to ensure you aren't replaced tomorrow?