To survive the AI shift, leaders must move their workforce beyond experimentation, turning human-scale teams into machine-scale engines.
That’s what Maia, the agentic data team, is enabling for data leaders today. Below, Matillion CEO Matthew Scullion explores why curiosity, not technology, will define who wins in the AI era.
Every few decades, the tech industry promises a revolution. Some, like the internet, mobile, and cloud, fundamentally rewrote the rules of business. Others, like VR and the metaverse, were largely just words.
AI is not just another technology cycle; it is the Digital Industrial Revolution. It’s a paradigm shift.
Just as the steam engine replaced manual labor with mechanical power, AI is replacing manual cognitive tasks with intelligent labor. We are moving past the primitive phase of messy prompts and half-finished integrations, and when this technology becomes the invisible plumbing of every department – from Sales to Engineering – the disruption will be as profound as the shift from coal to electricity.
Despite the column inches, the investments and the hype, I believe that we’re still massively underindexing on just how impactful AI is and has the power to be.
Currently, the ‘hype cycle’ is in full swing. Everyone is jumping on board yet reports suggest 95% of GenAI projects fail to deliver business value. This isn’t a sign of the technology’s weakness, but a predictable stage of adoption. It happens every time. First, we all talk about it, then we all over-invest. Then we get disappointed and declare it dead. Then it quietly rewires the world.
History rewards those who look past the phases of this so-called hype cycle. In the late ’90s, skeptics claimed no one would ever buy a car or a holiday online; I remember having those conversations with businesses myself! Today, companies like Tesla and Booking.com have turned that skepticism into dominance. The organizations that thrive today will be those that refuse to linger in the ‘trough of disillusionment’.
The key here is that AI adoption is not a technical problem; it is a human behavior problem.
Based on my observations, there is a predictable split:
- The Top 10-20% (The AI-Natives): These individuals lean in. They use tools to automate their output, essentially gaining a promotion by managing a digital team. They’re curious, they want to explore how this technology can change every aspect of how they work, live and play. They are the future of your company.
- The Bottom 10-20% (The Laggard Deniers): These individuals opt out, hoping the trend passes. In a world where AI can handle 80% of a role, these positions are inherently short-lived.
- The Middle 60-80% (The Arbitrage): This is where the competitive advantage is won or lost.
As individuals, our job is to avoid being in that 60-80%. As leaders, our mandate is to move that middle 80% upward through inspiration, expectation and, yes, sometimes pressure. Technology adoption is never purely technical. It’s sociological. It’s human behavior. You must create an environment where it is psychologically safe to try and unsafe not to. You have to take the fear out of trying it and encourage curiosity.
We’ve experienced it first hand, seeing global organizations using Matillion’s Maia – an agentic AI data team that plans, reasons and executes complex, production-grade data workflows autonomously. Unlike standard copilots that merely support single queries, Maia performs end-to-end tasks – such as ingestion, transformation and automated pipeline troubleshooting – to turn business requests into reality at machine scale.
Some of the biggest organizations on the planet are seeing massive results – reducing complex API builds to hours rather than weeks, or solving a months-long pipeline block in a matter of hours. By handling the repetitive, gritty work, Maia is a force multiplier, allowing human engineers to focus on high-impact innovation while accelerating data roadmaps by up to 50x.
The bigger picture: Is AI hype? No. It’s the industrial revolution, just digitized. And it’s here now. The key inhibitor isn’t the technology. It’s attitude.
The future belongs to the curious.
