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.
There’s been significant hype around AI fully automating business processes. Do you think this level of automation is realistic in the near future, or do you see AI playing more of a supportive, co-pilot role?
While there’s been considerable excitement about full AI automation, I believe we’re moving toward a more nuanced reality. AI will firmly establish itself as an intelligent assistant rather than a fully autonomous decision-maker. We see this with how organizations are using AI today – primarily for customer support, data analysis, and process automation. The future isn’t about full automation, but rather about practical, collaborative human-AI partnerships where human oversight remains crucial.
What do you believe are the key factors that will drive AI to become more of an intelligent assistant in business operations, rather than a fully autonomous decision-maker?
There are several key factors driving AI’s evolution as an intelligent assistant. Our research shows employees are already saving an average of 12 hours monthly through AI assistance – nearly two workdays. However, both technological limitations and regulatory considerations will keep full automation at bay through 2025. We’re seeing organizations achieve the best results when they focus on workflows that leverage AI’s strengths in processing data and generating insights while maintaining human judgment for critical decisions.
As AI becomes more integrated into daily workflows, how do you envision the relationship between human oversight and AI evolving, especially within enterprise environments?
The relationship between human oversight and AI will be characterized by collaborative partnership, not supervision. Our research shows this dynamic clearly – while AI adoption is increasing rapidly, human judgment remains crucial, particularly for critical decisions. Human oversight will continue to evolve alongside AI maturity, with different departments and industries finding their own balance points based on their specific needs and comfort levels.
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