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The article's primary subject is AI, specifically focusing on future trends in software engineering, inference infrastructure, and multi-agent systems driven by large language models. It analyzes the evolution of developer roles and hardware demands in an AI-centric future, making it relevant to TechPulse's core focus. TechPulse take: Meryem Arik outlines a future where token spend management and parallel agent infrastructure redefine software engineering, shifting the focus from pure coding to product leadership and multi-agent coordination. Her predictions regarding enterprise adoption in 2030 highlight the critical need for scalable inference solutions and regulatory readiness as AI agents become central to vendor decisions and IT operations.
Presentation: A Few Predicted Talks From QConAI 2030

Meryem Arik discusses her predictions for software engineering in 2030. She explains how token spend management, parallel agent infrastructure, and non-technical builders will reshape IT. She shares insights on agent-driven vendor decisions, upcoming regulatory hurdles, and why software engineers must pivot from pure coding skills toward product leadership and multi-agent coordination. By Meryem Arik
Meryem Arik: I'm going to be doing something very risky today, and I'm going to be predicting the future. You should famously never, ever make predictions, especially about the future, because it always goes wrong. A very wise man said this. He actually was a baseball player in Boston. Luckily, I'm not a wise man. I'm Meryem. I'm the cofounder of Doubleword. I work on high throughput inference. The reason why I felt somewhat confident to make vague predictions is I actually have a fairly good track record of it. A couple months after ChatGPT came out, I did a TEDx talk called, AI's Looming Hardware Crisis, where I argued that inference would be very important and that we would not have enough GPUs to be able to serve all the inference that we needed. This was three years ago, and in that time, NVIDIA's stock price has gone up 10x. It turns out I was right. I was right once, I might not be right again. I'm going to give you a brief overview of the structure of this talk. I'm going to present my worldview, which I think is a fairly coherent worldview. I'm going to make a…
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