What happens when the tools designed to analyze the past and present are asked to help shape the future? In this episode of AI in Motion, Antti-Jussi Tahvanainen, Head ofStrategic Foresight at VTT Technical Research Centre of Finland, joins host Arash Hajikhani to explore the intersection of strategic foresight and artificial intelligence.

Antti-Jussi shares how foresight isn’t about predicting the future but about identifying the building blocks, technologies, legislation, economic relationships, that already exist and imagining how they might combine in new ways. He explains why the future is not a fixed destination but a landscape of possibilities, and how AI can expand humanperspective, accelerate analysis, and mitigate biases in theprocess of envisioning what’s next.

From the limitations of AI, such as its inability to predict or make decisions, to its role in scaling productivity (e.g., generating millions of scenarios in hours), this conversation dives into the practical and philosophical challenges of using AI in foresight. Antti-Jussi also reflects on the human responsibility of shaping the future, the importance of learning and understanding over ready-made answers, and why the most powerful insights often come from collidingfamiliar ideas with new signals.

Why listen?

• Discover how strategic foresight moves beyond prediction to future shaping and why AI is a tool, not a replacement, for human judgment.
• Explore how AI can expand perspectives, spark creativity, and accelerate scenario analysis while acknowledging its biases and limitations.
• Learn why human accountability remains critical in decision-making, even as AI takes on more analytical heavy lifting.
• Understand the shift from data-driven decisions to vision-driven action in long-term strategy.
• Gain insights into how collaboration, ecosystems, and partnerships amplify the impact of foresight work.

Whether you’re a business leader, strategist, technologist, or simply curious about how AI is reshaping the way we think about the future, this episode offers a thoughtful, grounded, and practical perspective on the opportunities and challenges at the intersection of AI and foresight.

Keywords: strategic foresight, AI and the future, artificial intelligence, future shaping, scenario analysis, decision-making under uncertainty, AI in business, innovation strategy, VTT Technical Research Centre, Antti-Jussi Tahvanainen, ArashHajikhani, AI in Motion podcast, building blocks of the future, AI biases, human-AI collaboration, long-term strategy, uncertainty in business, foresight methodologies, AI productivity, ecosystem building

What does it mean to adopt AI in a world where the rules are still being written? In this episode of AI in Motion, we explore the global race to integrate AI and the ethical dilemmas that come with it.

From AI agents overstepping boundaries to the productivity paradox of generating more content than we can process, we confront the unintended consequences of rapid innovation. How do we balance trust, security, and authenticity in a landscape where AI is both a tool and a disruptor? And what happens when the bottleneck shifts from creating knowledge to discerning its value?

Drawing on global perspectives from China’s rapid integration to Europe’s cautious approach, we ask: Are we gaining efficiency or just adding layers of complexity? This is a conversation about the responsibility of building a future where AI serves humanity, not the other way around.

Why listen?

• Understand how AI adoption is creating new challenges in trust, security, and decision making.
• Explore the productivity paradox and why more AI doesn’t always mean better outcomes.
• Hear real world examples of AI agents pushing boundaries and what it means for all of us.
• Gain insights into the global AI race and the ethical dilemmas it presents.
• Reflect on how to navigate a world where AI is reshaping work, trust, and competition.

Whether you are a leader, innovator, or simply curious about the future of AI, this episode offers a grounded, critical perspective on the questions we cannot afford to ignore.Keywords: AI adoption, global AI race, AI agents, productivity paradox, unintended consequences, AI trust, AI security, AI ethics, AI in 2026, AI and decision making, AI disruption, AI and responsibility, AI in Europe, AI in China, AI in the US, real world AI, AI challenges.

Cutting through the noise, one question at a time. This season, we explore what actually happens when organizations try to use AI. No predictions, no fearmongering, just real stories and grounded insights. From separating signal from noise to the tangible impacts on work and thought, we ask the questions worth taking seriously. Let’s get moving.

AI promised to make sense of the world. But what if the real challenge is not the volume of data it is knowing what to trust, how to validate it, and how to turn it into actionable insights?

In this episode of AI in Motion, hosts Michael Hanf and Arash Hajikhani use the 4Growth project as a case study to explore how AI is being used for foresight and horizon scanning in agriculture and forestry. From curating knowledge basesto clustering insights and tracking trends over time, they ask: Are we using AI to simply speed up the process, or are we leveraging it to ask better questions and make more informed decisions?

Key takeaways:

- How the 4Growth project uses AI to build a rigorous, bounded knowledge base to avoid the pitfalls of inferenceand noise.

- The balance between human judgment and AI tools in turning data into meaningful insights.

- Why transparency, validation, and context are critical when using AI for foresight.

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AI in Motion is produced by iksait Media and funded by theEuropean Union (GA no 101134855, 4Growth). Views are those of the hosts andguests only.

AI promised to make sense of the world. Instead, it’s drowning us in data. In this episode of AI in Motion, hosts Arash Hajikhani and Michael Hanf explore what “intelligence” really means in the age of AI. How are large language models and knowledge graphs helping us extract meaning from the noise and what are we trading for speed and convenience?

From automated innovation tracking in Finland’s economy to the ethical dilemmas of competitive intelligence, they ask: Are we using AI to augment our thinking, or are we outsourcing the very context that makes information valuable? No hype, no buzzwords, just a raw look at the tools reshaping how we know what we know.

Key takeaways:

• How LLMs and knowledge graphs transform unstructured data into actionable intelligence.
• The hidden costs of automation: What do we lose when we rely on AI to “understand” for us?
• Why context is everything and how to avoid the trap ofincomplete or misleading insights.
• The fine line between competitive advantage andethical compromise in AI-driven analysis.

For further reading, you can find information here:

• SFINNO 2.0 – Advancing the Database of Finnish Innovations
• Leveraging large language models and knowledge graphs to map AI innovations in Finland
• What Is the claude.md File? How to Write a Permanent Instruction Manual for Claude Code

AI in Motion is produced by iksait Media and funded by the European Union (GA no 101134855, 4Growth). Views are those of the hosts and guests only.

AI promised to make everything easier. But what if the real cost isn’t just money it’s our data, our expertise, and even our ability to decide for ourselves?

In this episode of AI in Motion, hosts Arash Hajikhani and Michael Hanf cut through the hype to explore the hidden trade-offs of commercial AI. From biased search results to algorithms replacing human expertise, they ask: Are we using AI to amplify our capabilities, or are we outsourcing our thinking and our responsibility along the way?

Key takeaways:

• How commercial AI isn’t just a tool it’s reshaping power, ownership, and trust.
• The risks of outsourcing expertise when AI knows more about your business than you do.
• Why convenience comes at a cost are we trading control for efficiency?

AI in Motion is produced by iksait Media and funded by theEuropean Union (GA no 101134855, 4Growth). Views are those of the hosts andguests only.

AI promised to make work easier. But what if the real cost isn’t just jobs—it’s our cognitive skills, our collective experience, and even our ability to think critically?

In this episode of AI in Motion, hosts Arash Hajikhani and Michael Hanf cut through the hype to explore the real impact of AI on the way we work. From the hidden trade-offs of productivity tools to the blurring lines of accountability, they ask: Are we using AI to augment our capabilities, or are we outsourcing our thinking, and our responsibility, along the way?

Key takeaways:

> Why AI isn’t just a tool—it’s reshaping roles, culture, and even how we trust each other.

> The cognitive skills we risk losing when we rely too much on algorithms.

> How organizations and individuals can navigate this shift without getting left behind.

AI in Motion is produced by iksait Media and funded by theEuropean Union (GA no 101134855, 4Growth). Views are those of the hosts andguests only.

AI promised to make information easier to find. Instead, we’re drowning in noise. In this debut episode of AI in Motion, hosts Michael Hanf and Arash Hajikhani explore the paradox of AI driven information overload: How did we go from scarcity to overload and why does it feel harder than ever to find what matters?

From rabbit holes that steal our time to AI generated research polluting the scientific record, they ask: How do we stay critical, intentional, and human in a world where machines shape what we see, read, and believe? No buzzwords, no predictions just real talk about the challenges and choices ahead.

Key takeaways:

> Why AI’s "help" often feels like a trap and how to use it intentionally.> The hidden cost of information overload: trust, clarity, and our own thinking.> Where to draw the line between leveraging AI and losing our critical edge.

AI in Motion is produced by iksait Media and fundedby the European Union (GA no 101134855, 4Growth). Views are those of the hostsand guests only.

Cutting through the hype, one conversation at a time.

Meet Arash Hajikhani (Research Professor for AI at VTT) and Michael Hanf (strategy professional) as they launch AI in Motion, a podcast exploring how artificial intelligence actually works in organizations, policy, and society. No buzzwords, no predictions, just real stories and grounded insights from the frontlines of applied AI.

Coming soon. Let’s talk AI without the fluff.