When AI Becomes More Than a Tool: Dublin Tech Summit 2026 Insights

by Oleksii Tkachuk | June 8, 2026 12:05 pm

Dublin Tech Summit gathered founders, builders, and tech teams for two dynamic days in one of Europe’s most energetic tech capitals. Our team was on the ground to read where the market is heading and gather the biggest questions that kept surfacing around AI, embedded systems and more.

Our Team at Dublin Tech Summit

Two QATestLab delegates were at the event talking with companies about how they build and release:

• Volodymyr Kotysh[1] – QA Integration Manager
• Iryna Ishchenko[2] – Program Manager

The Event in a Nutshell

The event ran at a high tempo across two days, packing exhibitor stands, multiple speaker stages, niche workshops, and a startup competition into one venue. There were many startups, with founders and C-level often standing at their own booths. The atmosphere was very open – conversations started naturally, and most teams were glad to talk through what they were building, so our delegates managed to come back with many insights on the state of the European tech industry.

AI in Every Conversation

If we were to name one through-line for the event, it would be AI. But the interesting thing was how people talked about it. One idea from a speaker stage captured the essence: in under a year, AI had moved from an assisting tool to something closer to a hired worker, an agent that acts rather than just supports. That changes what quality means and AI testing[3] / AI agent testing[4] becomes crucial. When AI moves from suggesting to acting, the key question is what this system is allowed to do, and how to verify it before it goes live.

Underneath the enthusiasm ran a steady note of caution centered on data. Team after team raised concerns about who controls where your data ends up and how it gets used, once it goes into an AI tool. Data governance came up not as a compliance checkbox, but as a question of trust in the tools companies are adopting.

A second trust question surfaced just as often: how do you know whether the output is reliable? Several teams shared the same solution, using the LLM-as-a-judge approach. This one we know well, since it’s already part of how we run AI testing, as we describe in our article on building the evaluation system for AI[5]. The key takeaway here is that as AI takes on more decisions, testing has to validate behavior along with the output.

One side event zoomed out to even a bigger question, where Europe is heading with AI, with representatives from non-commercial and institutional bodies in the room alongside startups. It was a useful reminder that the AI conversation goes beyond the tech aspect. There are also standards and expectations that shape what teams are allowed to build and how they’ll need to prove it works.

A Perfect Place for Startups

The venue was full of startups, and it was easy to see why so many had come as the event clearly works well for early-stage companies. Alongside the exhibition, it hosts the Startup World Cup, a global pitch competition where startups submit a 90-second video, finalists battle through live knockout rounds on stage, and the regional winner advances to the Silicon Valley grand finale, where the champion takes a $1 million investment. That gives the whole event a competitive, high-energy pulse.

We met a lot of interesting startups across very different stages, from founders still shaping their first version to companies already scaling. The conversations were a good reminder that quality means something different at each step – early on, it’s about getting the concept right, and later it becomes about building QA into how the team works. Meeting people from every point of that path was one of the most wholesome and meaningful parts of the event.

Hardware, IoT, Testing

Apart from the AI debate, physical devices drew some of our best conversations. Many talented teams were building devices that run software and AI on top of real hardware. Quality is harder to pin down here, so most of them tested their devices by hand, in the office, against the single unit they owned. That works at first, but as the system grows, problems show up in automation, performance, and edge cases.

We built a service around this challenge. Our embedded systems testing[6] covers the full IoT chain, from firmware to mobile app to cloud, in a remote lab, so you can validate against real-world conditions without building your own hardware infrastructure.

Spinning Wheels and a Robot Dog

The marketing creativity was its own show. Several booths ran prize wheels you could spin in exchange for a LinkedIn follow, others ran toss-the-beanbag games for branded swag, and one team had a robot dog roaming the hall purely for the wow factor (our delegate tried to “feed” it – no success whatsoever). We also loved one clever format: at certain workshop stages, a volunteer scanned every attendee’s badge on the way in, and afterward the speaker connected with each listener on LinkedIn, turning a talk into a stream of warm contacts. That kind of idea is worth borrowing.

Summing Up

Dublin Tech Summit highlighted the main focus and concerns of European tech companies. Three things that stood out:

• AI is shifting from an assisting tool to an active agent, raising the bar for verifying what these systems are allowed to do.
• Data security and reliable output have become the twin concerns of AI adoption.
• Hardware and IoT keep growing, and so does the effort it takes to test these devices in real conditions.

These are the questions we work on every day. We help teams verify AI features, validate connected devices, and release products without surprises. If you want to discuss QA for your company, contact QATestLab[7]. We’ll align on scope, clarify priorities, and help you release with confidence.

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Related Posts:

• ICE Barcelona 2026: Between Poker Wins and Talks on QA in iGaming[9]
• Pocket Gamer Connects London 2026: AI+Automation, Cross-Device QA, and Indie Games Highlights[10]
• Software Quality Trends in 2026: Key Changes Shaping Modern QA[11]

Source URL: https://blog.qatestlab.com/when-ai-becomes-more-than-a-tool-dublin-tech-summit-2026-insights/

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