Do you work with AI in your board?
In our program we have a deep dive discussing why AI is important in the boardroom and how to handle it as a board member. For this session we have teamed up with AI Sweden and have the great honur to learn from the best, Peter Kurzelly. Read our key take aways and learnings from the session in this blogpost.
“Imagine the world five years from now. Will AI be the backbone of operations? Can we even compete without it? Consider our investment and pace in this realm. Are we lagging behind? This is why all boardrooms need AI expertise: to grasp the AI revolution... or risk fading away.”
- Peter Kurzwelly, AI Sweden
Peter Kurzwelly, AI Sweden
The primary challenge with AI is the adoption of it and the cultural changes it will bring. More dialogues and thinking around AI are necessary within different levels in the companies to address the unknown aspects. Upskilling leaders and employees can significantly boost productivity, and AI proficiency is becoming a crucial language for everyone.
Concluding key takeaways from the session:
The biggest challenge is AI adoption and the cultural change it will impact
We need to talk and think AI more - expose ourselves for the things we don’t know
Upskilling leaders and employees could lead to having your best employee produce 10 times more
AI is the next language that we need to speak - we need to be able to hold a conversation and understand an expert of AI
We need to understand what type of data an organization is generating, the quality of the data, if there is a need to complement the
For board members, the key roles in AI adoption include recognising its significance and impact, identifying challenges AI can solve and setting success metrics for the AI adoption. They have an important role in helping the management team to drive AI-related changes needed for the company. Your role as a board member in the AI adoption can be summariced in following list:
✅ Understand the importance of AI and its impact
✅ Identify the challenges AI could solve and the success metrics for your company
✅ Create incentives for the leadership team to drive the change
✅ Make a competence review - do you have the right competences in the operational management team to make the change?
✅ Secure upskilling in the organisation
✅ Create long-term data strategies
✅ Make sure responsible AI is deployed and implemented
✅ Demand a higher pace of change
Please reach out to us or Peter if you want to discuss this very important topic further.
