AI Pacing vs. Adoption: NEA Partner Explains the Real Opportunity

In this Bloomberg Tech segment, NEA partner Tiffany Luck joins Ed Ludlow to discuss why a slowdown in AI development at the frontier doesn't necessarily mean slower adoption across the broader economy. Luck explains that increasingly powerful models from companies like OpenAI and Anthropic are already well ahead of what enterprises are actually deploying, creating a significant gap between raw capability and real-world application. According to Luck, this gap represents a major opportunity for companies that can bridge the divide between cutting-edge AI and practical business workflows. She emphasizes that the challenge isn't about waiting for more powerful models—it's about turning the intelligence that already exists into measurable returns. The conversation highlights how enterprises can capitalize on the current state of AI technology by focusing on implementation and integration rather than waiting for the next breakthrough. Luck's perspective offers a counterpoint to concerns that any deceleration in AI development would stall economic adoption. Instead, she argues that the tools are already in place for companies ready to move beyond experimentation and into deployment. This discussion provides valuable insight for business leaders looking to understand where the real opportunities lie in the current AI landscape.