📈 The AI Supercycle: What Happened Since ChatGPT?

When ChatGPT launched in November 2022, it marked more than the debut of a viral chatbot — it signaled the dawn of a technological renaissance. What followed was not a ripple, but a tidal wave of exponential innovation. From art to analytics, reasoning to robotics, the past 30 months have seen artificial intelligence evolve at a pace never before recorded in technological history.So… what happened since then?

The chart above isn’t just a timeline. It’s a visual odyssey of innovation — one that chronicles AI’s metamorphosis from conversational novelty to reasoning powerhouse, and now, to autonomous system architect.

🔹 Phase 1: The Spark — From Prompt to Power

Nov 2022 - Feb 2024

The launch of ChatGPT was quickly followed by creative marvels like Midjourney v5 and productivity giants like Microsoft Copilot. These systems changed how we write, illustrate, and code — acting as virtual assistants in our inboxes and idea generators in our browsers.

By the time OpenAI's SORA dropped in late 2023, video generation became as easy as text-to-image prompts. In parallel, Claude 3 Opus emerged, showing us that AI could reason, summarize, and debate at near-human fluency.

🔹 Phase 2: The Climb — Intelligence Gets Deeper

Mar 2024 - Jan 2025

Where early-stage AI tools mimicked intelligence, 2024 was about mastering it. The arrival of Deep Research engines gave birth to AI agents capable of reading entire whitepapers and making investment-grade insights — in minutes.

Google Gemini joined the fray in mid-2024 with its multimodal brilliance, allowing users to interact across images, documents, charts, and code in one seamless interface.

By January 2025, we witnessed reasoning advances unlike any before. AI could solve logic puzzles, trace faulty arguments, and even debug lines of thought. The line between assistant and advisor had blurred.

🔹 Phase 3: The Apex — Autonomy Takes Hold

Feb 2025 - Apr 2025

Then came the game-changers: Operator/Manus, a system that orchestrates dozens of AI agents, each performing specialized tasks — from writing contracts to running CRM automation. This wasn't just augmentation; this was AI-led operations.

And now, in April 2025, the release of A2A Systems (AI-to-AI communication platforms) is triggering a paradigm shift: AI agents that don’t just respond to humans, but talk to each other, collaborate, and deliver outputs autonomously.

We're entering a world where AI manages AI — the dawn of machine economies, agent ecosystems, and self-optimizing business workflows.

🚨 What’s Next?

If you’re still asking, “Will AI take my job?” you’re asking the wrong question.

The real question is:

“How fast can you learn to work with AI, or build systems powered by it?”

Because ready or not, the age of autonomous intelligence is here — and the companies, creators, and countries that embrace it will define the next decade of economic power.