Mei, as the CTO and CPO of TeamViewer, you’ve had a front-row seat to technological advancements. Can you share your perspective on how AI is evolving and how you see its role in business operations moving forward?

AI is certainly undergoing a significant transformation in how it’s being integrated into business operations. Our research shows that AI adoption has accelerated dramatically, with 79% of decision-makers now using AI weekly, compared to 52% in 2023. However, what I find most interesting is the potential for AI to evolve beyond simple automation into a truly collaborative tool for businesses. For example, a shift from purely text-based applications to rich, visual AI experiences will fundamentally change how businesses communicate and operate.

How do you see business operations transforming as AI tools are increasingly implemented to assist employees and enhance decision-making?

As mentioned above, while current AI business applications primarily focus on text-based output, I predict 2025 will mark a dramatic shift toward rich, visual AI experiences. We’ll see business users move beyond text-based reports to interact with AI through dynamic visual content – from real-time video generations to interactive demonstrations and visual problem-solving guides. We’re already seeing early indicators of this transformation, but the real breakthrough will come as these capabilities are applied to business contexts, such as AI generating visual tutorials for technical support or creating simulations for training.

What challenges do you think organizations will face as they begin to adopt AI solutions, particularly when it comes to maintaining a balance between human intervention and automation?

Organizations face several key challenges in AI adoption but I’ll focus on two. First, the disparity in AI maturity across organizations will need to be addressed – while 72% consider their AI adoption mature, there’s a significant gap between IT decision-makers (79%) and operational technology leaders (62%). Second, and perhaps more crucially, AI’s environmental impact will shift from footnote to headline. As AI deployments scale and data centers grow, questions about power consumption and environmental sustainability will become impossible to ignore. Success will require finding the sweet spot between AI capability and environmental responsibility.

Which areas do you think AI will be most effective in driving productivity and collaboration within organizations?

While we currently see AI excelling in customer support, data analysis and process automation, the real transformation will come through edge computing and language models. By bringing AI capabilities directly to edge devices, organizations will be able to process and analyze in-session data in real-time, creating highly contextual and personalized experiences. This evolution from reactive to preventative solutions will fundamentally change how businesses approach problem-solving and service delivery.

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