Artificial humans are already here. And most organizations are not prepared for what that means.

As AI becomes embedded across enterprise systems, the real shift is not just smarter software. It is the emergence of autonomous digital actors working alongside humans, powered by real-time streams of data from connected devices.

HiveMQ CEO and Chairman Barry Libert joins the podcast to explore what happens when IoT data streaming meets AI at scale, including:

• Why artificial humans are already working alongside real humans

• How data streaming becomes the foundation for AIoT systems

• Why IoT and AI are no longer separate technologies

• How ontologies and real-time operational intelligence reshape enterprise software

• Why the next wave of productivity will come from autonomous machines and devices

Tune in to hear why the convergence of AI, IoT, and data streaming will redefine how companies operate.

Key Topics & Chapters

(01:49) Barry Libert introduction

(03:46) Why the podcast pivoted

(04:30) AI needs IoT data

(05:24) Why HiveMQ matters

(06:08) Data streaming between devices

(07:20) Humans are already devices

(08:24) Blurring human device boundaries

(10:10) Data streaming changes business

(12:04) Data streaming drives AIoT

(13:08) Enterprise brain and dashboards

(15:23) Machines act autonomously

(16:40) HiveMQ builds operational ontology

(17:36) Claude Code inside HiveMQ

(18:47) Enterprise software faces disruption

(20:27) AI deprecates SaaS models

(22:28) SaaS versus AI battleground

(23:01) Ariba and SaaS lessons

(25:04) What happens to humans

(26:47) Why Barry remains optimistic

(27:27) Framing beats answering

(29:10) Artificial humans are here

(30:12) Another species enters work

(31:11) The jobs gap problem

(32:00) National winners and losers

(34:16) From outsourcing to AI sourcing

(35:42) Speed creates transition pain

(36:00) Customers now want ontology

(37:44) Healthcare process intelligence example

(40:42) Every company needs streaming

(41:42) Ontology leads to automation

(42:29) Closing reflections on HiveMQ