Artificial Intelligence is no longer a distant promise; it is the defining technology reshaping how we work, connect, and innovate. In our business of incubating new ventures for LG, we’ve identified key themes in need of further community discussion, as we explore the next phases of AI-led innovation.
The Future of Work in the Age of AI
AI and automation are transforming the very nature of work. The World Economic Forum projects that 44% of core job skills will change by 2027, and McKinsey estimates that nearly a third of knowledge work tasks can already be automated today.
As we start to see how AI is changing the workforce, we should ask the question of how we adapt at the speed of AI? How can we leverage AI to move our workforce from this phase to the next, through reskilling at scale, redesigning business processes around human + AI collaboration, and ensuring equitable access to opportunities? Can we chart a path toward a future of work that is both competitive and inclusive?
Defensibility: Community as the New Moat
In an age where AI features can be copied overnight, what truly sets companies apart? Increasingly, it’s not just the product, it’s the community around it. Today’s most enduring AI companies, from Hugging Face to MidJourney, are thriving by mobilizing users into contributors, builders, and evangelists. These community networks have a positive effect on power defensibility.
Turning users into active contributors and co-creators is not easy, however, and designing a community-first product needs to be planned from day one, along with balancing growth, authenticity, and long-term trust.
Agentic AI Best Practices
The AI frontier is shifting from copilots that assist tasks to agents that act autonomously, planning and executing workflows across industries. Early adopters report 30-40% productivity gains, but recent research tells a more complicated story. A new MIT study found that 95% of enterprise AI pilots are failing, pointing to cultural, governance, and integration challenges as major barriers.
Enterprises are only at the start of this migration to AI. Establishing best practices for enterprises and startups deploying agentic AI at scale will be crucial to overcoming challenges related to governance, oversight, and accountability. To achieve success and ROI from AI deployments, enterprises should turn to lessons from real-world pilots and explore how startups are pioneering multi-agent systems and enterprise-ready frameworks to capture AI’s full promise.
Interested in hearing more on this topic area?
At this year’s LG NOVA InnoSummit 2025, we’ve dedicated a full day to exploring the cutting edge of AI: from its impact on the workplace, to the power of community-driven innovation, to the best practices for deploying autonomous agents at scale.
Alongside the panels, attendees will have the opportunity to network with peers, exchange real-world experiences, and forge partnerships that extend beyond the event. These conversations, both on stage and off, are where the AI ecosystem comes alive, helping leaders learn from one another and collaborate on the challenges ahead.
Join us in Mountain View this October 16th to be part of the conversation.
At LG NOVA, our mission is to foster innovation with human impact. These AI sessions at InnoSummit 2025 are designed not just to spark ideas but to equip leaders with actionable insights for building trust, resilience, and community in an AI-powered future.
Request your invite today.
