From +AI to AI+: 10 Insights from Tech Leaders Öresund
This week, IT decision-makers from Skåne gathered for another Tech Leaders Öresund, this time with the theme “From +AI to AI+.” The evening focused on AI’s possibilities, its challenges, and how companies and society should navigate a world that is changing faster than ever. Here are 10 key insights from the discussions.
1. From +AI to AI+: A Shift in Focus
Today, AI is often used as an add-on, something we place on top of existing solutions to improve them. But we’re seeing a shift toward AI+, where AI is not just an addition but the foundation of the entire solution. Examples like ChatGPT show how AI can become the core technology, while features like user interfaces become add-ons. This shift may reshape how we think about innovation in the future.
2. AI is Not Magic, You Need Knowledge to Use it Well
It’s easy to be amazed by AI’s potential, but we must remember that it has limitations. AI can simulate human behaviour and produce fast, useful results, but it’s not perfect. It can produce brilliant ideas one moment and completely wrong answers the next.
To use AI effectively, we must stay critical and understand both its strengths and limitations. For people working with AI, it’s a constant reminder to keep a healthy level of skepticism.
3. AI Has a Hallucination Problem
One of AI’s biggest challenges is what we call hallucinations, when the model invents information or gives incorrect answers. This isn’t a bug; it’s part of how the technology works. And it will likely remain a problem for many years.
Nvidia’s CEO Jensen Huang recently said that we must learn to live with this. AI will continue to require human oversight and expertise to ensure it doesn’t lead us in the wrong direction.
4. Not Everything Needs AI
It’s easy to jump on the AI trend just because it feels modern. But sometimes we need to ask: Is this actually necessary?
Examples mentioned included AI-powered hair dryers, do we really need that? AI should add real value, not just be a selling point. Otherwise, we risk building solutions that no one actually benefits from.
5. Broaden Your Perspective: Think “Composite AI”
Focusing on only one type of AI, like Generative AI, is rarely the best approach. A better strategy is to combine different AI technologies, sometimes called Composite AI. By mixing, for example, rule-based systems with machine learning, we can build more robust and useful solutions for complex situations.
6. Who is Responsible?
When AI makes decisions, who is responsible when something goes wrong? This question sparked a lot of discussion.
If a self-driving car causes an accident, who is at fault, the owner, the developer, or the manufacturer?
The EU’s AI Act will require companies to clearly show how their AI works and ensure it follows safety standards, but many ethical and legal questions remain. Responsibility is one of the biggest challenges in implementing AI in critical systems.
7. Regulation is Needed, But Must be Balanced
We need rules to ensure AI is safe and ethical, but too much regulation can stop innovation. The discussions focused on how to find the right balance, protecting society while still encouraging experimentation and new ideas. Regulation and innovation must grow together for AI to develop responsibly.
8. Input Shapes Output, We Control the Quality
AI gives better answers when we ask better questions. The discussions highlighted that the quality of the output depends heavily on the input. This means users play an important role in shaping the results. Being able to ask clear, relevant, and well-structured questions is a key skill for anyone working with AI.
9. A Generational Shift is Changing How AI is Used
Younger generations, who grew up with digital technology, have a completely different attitude toward AI compared to older generations. They are more experimental, creative, and open to using AI in new ways. This creates exciting opportunities, but also challenges, for example around ethics and authenticity in a world where AI generates personal messages, art, and music.
10. AI is Already Everywhere, Often Without us Noticing
AI is no longer futuristic, it’s already a natural part of daily life. From search engines to apps and smart devices, we use AI every day without thinking about it. The discussions reminded us that we must become more aware of how AI influences our decisions and behaviour, even when it’s invisible.
Conclusion
The evening showed that AI offers huge opportunities, but also major challenges. From questions about responsibility and regulation to technical limitations like hallucinations, we are entering a future where AI will deeply reshape society. At the same time, it’s clear that the technology requires critical thinking and responsible use.
