In this episode of The Soul of Enterprise, Ron and Ed welcome back Greg Tirico to explore the accelerating convergence of technology, especially AI, and its profound implications for professionals. Drawing on insights from the “Convergence 2026” report, Greg unpacks how traditional firm boundaries are dissolving as tech, talent, and capital increasingly intersect.
The conversation dives into what this shift means for knowledge workers, from evolving skill expectations to the redefinition of value in professional services. As AI reshapes workflows and client expectations, firms must rethink not only how they operate, but what they offer.
If you’re trying to understand where the profession is headed and how to stay relevant in an AI-driven world—this episode provides a clear, informed perspective on the forces shaping the future.
SHOW NOTES
There are 10 total convergences identified by the FTSG methodology. We don’t have time for all of them :)
ONE: Human augmentation
In the past this was eyeglasses and vaccines
Today:
Mo/Go powered pants like an e-bike for hiking
Hypershell exoskeleton. It’s a leisure exoskeleton, not a war device
Meta glasses: real time translation; a version of the world with a layer of intelligence on top
These devices are not for the mobility challenged. They are meant for the able bodied.
What if your company requires augmentation for extremely physical roles?
TWO: Unlimited Labor
In the past:
Gutenberg printing press
Ford assembly line
VisiCalc
Today:
AlphaEvolve from DeepMind: Algorithms automatically derived from basic inputs
Quite obviously, AI Agents
“The next internet isn’t being made for you. It’s being made for Agents. Pretty soon we won’t be the interface between decisions and execution anymore.”
So what happens when agents collide with robotics?
Robot assisted cars
Used outside of oil, gas, and power sites, they launch, inspect equipment, detect methane leaks, and return to recharge
Humanoid robots in use by BMW and DHL (unloading trucks at 700 boxes per hour)
THREE: Automated factories or “lights-out industrialism”
This isn’t retrofitting factories with robots. These are first principle designs. Think, Adam Smith’s pin factory.
Unlimited labor inverts the idea that labor is the engine for growth
Scale without population
Output without wages
Production without people
Most datacenters employ fewer than 35 people.
Will we see an economy with an increasing GDP AND a high level of unemployment? In other words, what do we call an economy that is thriving and has no use for you?
FOUR: Emotional outsourcing
In the past:
Therapists
Meditation
Family and friends
Today:
What about the shift of comfort and companionship from people to machines?
In 2014, Microsoft launched a chatbot called Xiaoice (wikipedia link)
In the Convergent Report presentation, Amy Webb used an AI generated video to manipulate feelings and didn’t tell the audience until the end.
FIVE: The Corporate Panopticon
In the past:
showing a passport at a border
swiping a credit card at a checkout
entering a password at login
Today:
Wi-Fi Sensing: Commodity Wi-Fi hardware can now be used as a room-scale physiological sensor. Systems like Pulse-Fi can estimate heart rates, respiration, and gait by analyzing how signals reflect off a body
Ambient Audio Context: Microphones in smart devices do more than listen for voice commands; they analyze background "acoustic signatures" like HVAC rhythms, traffic patterns, and room echoes to infer your exact location
Payment Metadata Analysis: Even without seeing itemized receipts, payment networks analyze transaction timing and vendor codes to infer highly personal details, such as pregnancies, chronic illnesses, or addictions
Biometric Signatures: Identity is verified through markers you cannot "leave at home," such as the way you hold your phone, your gait, or your thermal signature
You can reset your password. You cannot reset your biometric signature
“We traded China’s iron fist for Silicon Valley’s velvet glove—same surveillance, better branding.”
SIX: Living Intelligence
In the past:
Most systems have operated in three distinct phases: collect data, analyze what they’ve gathered, wait for humans
Today:
Sensors track biological signals, environmental conditions, and behavioral patterns in real time.
Adaptive AI models interpret what’s happening.
Then the system acts, adjusting insulin doses, rerouting shipments, tweaking production lines, without pausing for human approval.
MIT engineers have designed capsules containing biodegradable radio frequency antennas that can confirm when a pill has been swallowed. These biosensors address a
major health care challenge: patients failing to take medication as prescribed.
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