10+ hours of podcasts, in 5 minutes.
5 quotes from 1 episode on Latent Space, each with a timestamped link to the source.
Alex Lieberman describes a steep drop-off in enterprise AI adoption when companies attempt to move models into production. Agent usage for non-engineering work falls to 5% as organizations struggle with data permissioning and primitive infrastructure.
People react with surprise when they hear the low percentage of companies completing adoption milestones.
“I think especially at AIE when I tell people about what percentage of companies have reached these milestones, they're kind of mind-blown by it.”
Structured internal education to teach workflow application holds as much importance as the underlying models.
“…never gets the love that it should get but is arguably more important or as important as the technology itself.”
The transition from raw intelligence to actual workflow usage creates a steep diffusion cliff. Production agent deployment for back-office operations stalls because of fragmented workflows.
“…this is where the biggest diffusion gap is from raw intelligence to enterprise usage. Agents in production for non-engineering work drops to like 5%.”
Managing permissions as employees run models creates a nightmare for technology officers. Chief information officers lack a centralized control panel to govern data reads and writes.
“Permissioning and uh like arbback basically as every employee in a company has clawed or they have codecs and they need access to certain data it is turned into an absolute nightmare for CIOS and CISOs and they don't have basically a good gateway for easily doing almost like a like a control panel for uh data permissioning.”
From Why 95% of Enterprise AI Agents Fail to Reach Production
Half of engineering teams lead agent deployment with basic infrastructure. Alex Lieberman observed that enterprises often run systems so rudimentary they barely qualify as actual coding tools.
“…every other enterprise that we speak to either hasn't rolled out a coding agent or what they are using is closer to not having a coding agent than having a coding agent.”
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