Big Technology Podcast
Big Technology Podcast

What Cheaper, Faster, and Smarter AI Gets Us — With Aaron Levie

Aaron Levie is the CEO of Box. Levie joins Big Technology Podcast to discuss the implications of AI getting cheaper and faster after OpenAI cut GPT-4o's prices by half and made it twice as fast. We also cover AI's impact of AI on jobs, the evolving AI safety debate, and how companies like

Featured Speakers

Alex Kantrowitz HostAaron Levy Guest

Topics Discussed

Episode Summary

Executive Summary: In a live Big Technology event, Box CEO Aaron Levy discussed the rapid pace of AI progress, arguing that the field is moving into a phase where models are faster, cheaper, and more capable, which changes what companies can build. The conversation centered on practical enterprise use cases, how businesses should think about adopting AI now, and what the next wave of releases from OpenAI and competitors may enable.

Main Topics: AI’s accelerating progress (Priority: 5/5): Levy and the host framed the discussion around how quickly AI has advanced and how new releases keep raising expectations for capability and utility. Building with AI in the enterprise (Priority: 5/5): The conversation focused on what companies can realistically deploy today, especially in workflows where speed, cost, and smarter model behavior matter. The next phase after major model releases (Priority: 4/5): They explored where AI goes next as OpenAI and other leading labs continue shipping improvements, suggesting a constantly moving baseline for product builders. Costs, speed, and smarter models (Priority: 4/5): A major theme was that AI is becoming cheaper to run, faster to respond, and better at tasks, which expands the range of viable applications. Live audience and public event dynamic (Priority: 2/5): The episode was recorded in front of a sold-out Manhattan audience, adding energy and emphasizing the show’s first live public event.

Key Arguments: AI progress is not slowing; each major release shifts what is possible for builders and enterprise users. As models get faster and cheaper, companies can move from experimentation to practical deployment in business workflows. The real question is not whether AI is useful, but which use cases are mature enough to deploy reliably today. The competitive landscape is still moving quickly because major labs continue shipping new capabilities. Enterprise product strategy must account for a moving technical baseline, not a static model environment.

Data Points: Live audience size: 130 people - The event was described as the first ever public Big Technology event in Manhattan. Event status: sold out - The host noted the live recording was at a packed house in Manhattan.

Pivotal Quotes: "what building with this technology looks like as it gets faster, cheaper, and smarter" — Host: Introductory framing for the episode’s core AI theme. "we're back together in a moment of crazy AI news" — Host: Sets the context that the conversation is happening amid major AI releases. "So do we just pretend that we're podcasting or how does this work?" — Aaron Levy: Light opening remark acknowledging the unusual live-event format.

Implications: AI is entering a more practical, enterprise-ready phase. For listeners and builders, the takeaway is to focus on real workflows, because the technology’s capabilities and economics are improving fast.

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About Big Technology Podcast

The Big Technology Podcast takes you behind the scenes in the tech world featuring interviews with plugged-in insiders and outside agitators. Alex Kantrowitz, a Silicon Valley journalist who's interviewed the world's top tech CEOs — from Mark Zuckerberg to Larry Ellison — is the host.

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