Gen Z's advantage is not just that they are "digital natives."
Their higher Al adoption is shaped by a combination of structural and psychological factors: early exposure to Al in education, greater access to Al skills training, concentration in roles that map closely to Al use cases, and heightened career pressure in an Al-saturated labor market. At the same time, Gen Z's heavy use of Al is coupled with ambivalence: they report both productivity gains and increased anxiety, including concerns about skill erosion and job displacement.
Hard Negatives: AI Engineering Meetup Qdrant x @deepset
What stood out most was the format. You had to debate a side you may not even agree with. “Should AGI exist?” “Should AI have rights?” “Should we trust models we can’t explain?”
In a world where everyone has a hot take on AI, it was refreshing to see a room full of builders challenge their own assumptions.
Because the truth is, AI adoption is not just about choosing the right model, deploying a tool, or building the best agent.
It is about people.
It is about helping teams understand the technology, question it, build confidence with it, and adapt how they work around it.
At GenAIx, that is what we think about every day.
How do we help Humans and companies not just get access to AI, but actually build the skills, habits, and confidence needed to use it in meaningful ways?
The companies that win with AI will not be the ones that simply move the fastest. They will be the ones that empower their people to learn, adapt, and think critically alongside the technology.
what we're quietly trading away as AI systems get more "frictionless."
The core idea: To build systems that predict accurately, AI needs something from us first our words, habits, relationships, our inner lives converted into data, then into product.
Carlton calls this the monetization of the human experience, and it's the invisible engine behind every "effortless" AI experience we're being sold.
Here's why this matters for AI adoption inside organizations, not just consumer tech:
Change management isn't just workflow redesign it's shaping what employees are willing to hand over (their judgment, their voice, their process knowledge) in exchange for "efficiency."
Driving behavior change means being honest about the friction we're removing: some friction is waste, but some friction is where critical thinking, relationships, and institutional memory actually live.
Responsible AI adoption requires the same scrutiny at the enterprise level that Carlton and Center for Humane Technology apply at the societal level
Who benefits when we automate a task, and what quietly disappears when we do.
The best AI adoption strategies I've seen don't just ask "can we automate this?"
They ask "what are we willing to lose to gain speed & is that trade worth it?"
Great to see All Tech Is Human and BrainStation creating space for these conversations in NYC.
Was great being in DC last week, meeting the startup, AI, and data community. Some real insights on AI adoption rates inside government organizations.
It's clear the gap isn't the technology. It's the people.
Government orgs have access to some advanced AI tools available today, yet adoption lags far behind the private sector. Why?
Because rolling out a tool isn't the same as rolling out capability.
You can license the best AI platform in the world, but if your workforce doesn't know how to use it, integrate it into their workflows, or trust its output, it just becomes shelfware.
This is the pattern I see everywhere, not just in DC: organizations invest heavily in AI infrastructure but underinvest in the humans who have to actually use it.
Adoption isn't a procurement problem. It's a training problem, a change management problem, and ultimately a trust problem.
The orgs that will win the next decade aren't the ones with the flashiest tools.
They're the ones that treat upskilling as seriously as they treat the tech stack itself, teaching employees not just how to use AI, but how to think alongside it.
AI doesn't replace humans, it amplifies the humans who know how to wield it.
DC Trip this Week,Yesterday joined Data Viz Lightning Talks with the DC Data & AI community.
viz and tell:talks, quick demos, and conversations with people building across the data ecosystem.
Great meeting the community in AI & Data
The companies that are winning today are not only adopting powerful tools, but giving their teams visibility into what is being used, what is working, and where measurable ROI is being created.
Great to connect with the DC data and AI community during this week’s trip. More conversations like this are a reminder that the future of AI adoption is deeply human!
clear communication, thoughtful design, and empowering people to act on insight.
Noah Habtemichael
https://youtu.be/jnPnmjkFqFg
13 hours ago | [YT] | 1
View 0 replies
Noah Habtemichael
Gen Z's advantage is not just that they are "digital natives."
Their higher Al adoption is shaped by a combination of structural and psychological factors: early exposure to Al in education, greater access to Al skills training, concentration in roles that map closely to Al use cases, and heightened career pressure in an Al-saturated labor market. At the same time, Gen Z's heavy use of Al is coupled with ambivalence: they report both productivity gains and increased anxiety, including concerns about skill erosion and job displacement.
Full Article Below:
18 hours ago | [YT] | 1
View 0 replies
Noah Habtemichael
Hard Negatives: AI Engineering Meetup
Qdrant x @deepset
What stood out most was the format.
You had to debate a side you may not even agree with.
“Should AGI exist?”
“Should AI have rights?”
“Should we trust models we can’t explain?”
In a world where everyone has a hot take on AI, it was refreshing to see a room full of builders challenge their own assumptions.
Because the truth is, AI adoption is not just about choosing the right model, deploying a tool, or building the best agent.
It is about people.
It is about helping teams understand the technology, question it, build confidence with it, and adapt how they work around it.
At GenAIx, that is what we think about every day.
How do we help Humans and companies not just get access to AI, but actually build the skills, habits, and confidence needed to use it in meaningful ways?
The companies that win with AI will not be the ones that simply move the fastest.
They will be the ones that empower their people to learn, adapt, and think critically alongside the technology.
Team Human!
GenAIx
1 day ago | [YT] | 4
View 0 replies
Noah Habtemichael
GenZ Builders NYC by Codedex at Shopify
GenZ builders, students, founders, and the Tech community
What stood out to me was how many people are already building
Not waiting for permission
Not waiting to know everything
Just learning, meeting people, and trying things
That is how real change happens
And that is how AI adoption will happen inside corporate
Not just by giving teams new tools
But by helping people feel confident enough to use them
To experiment
To learn
To build new habits
To adapt as work changes
The future of work is not only about technology
It is about people
At GenAIx, we are focused on helping organizations build that capacity
through
AI upskilling
Behavior change
Workforce adoption
Improing Real ROI on Tool Liscences
Team Human
GenAIx!
2 days ago | [YT] | 3
View 0 replies
Noah Habtemichael
"AI and What Makes Us Human" at BrainStation NYC
what we're quietly trading away as AI systems get more "frictionless."
The core idea:
To build systems that predict accurately, AI needs something from us first
our words,
habits,
relationships,
our inner lives
converted into data, then into product.
Carlton calls this the monetization of the human experience, and it's the invisible engine behind every "effortless" AI experience we're being sold.
Here's why this matters for AI adoption inside organizations, not just consumer tech:
Change management isn't just workflow redesign
it's shaping what employees are willing to hand over (their judgment,
their voice,
their process knowledge) in exchange for "efficiency."
Driving behavior change means being honest about the friction we're removing:
some friction is waste, but some friction is where critical thinking, relationships, and institutional memory actually live.
Responsible AI adoption requires the same scrutiny at the enterprise level that Carlton and Center for Humane Technology apply at the societal level
Who benefits when we automate a task, and what quietly disappears when we do.
The best AI adoption strategies I've seen don't just ask "can we automate this?"
They ask "what are we willing to lose to gain speed & is that trade worth it?"
Great to see All Tech Is Human and BrainStation creating space for these conversations in NYC.
Team Human! GenAIx
3 days ago | [YT] | 2
View 0 replies
Noah Habtemichael
Was great being in DC last week,
meeting the startup, AI, and data community. Some real insights on AI adoption rates inside government organizations.
It's clear the gap isn't the technology. It's the people.
Government orgs have access to some advanced AI tools available today, yet adoption lags far behind the private sector. Why?
Because rolling out a tool isn't the same as rolling out capability.
You can license the best AI platform in the world, but if your workforce doesn't know how to use it, integrate it into their workflows, or trust its output, it just becomes shelfware.
This is the pattern I see everywhere, not just in DC: organizations invest heavily in AI infrastructure but underinvest in the humans who have to actually use it.
Adoption isn't a procurement problem. It's a training problem, a change management problem, and ultimately a trust problem.
The orgs that will win the next decade aren't the ones with the flashiest tools.
They're the ones that treat upskilling as seriously as they treat the tech stack itself, teaching employees not just how to use AI, but how to think alongside it.
AI doesn't replace humans, it amplifies the humans who know how to wield it.
Team Human, GenAIx
4 days ago | [YT] | 4
View 0 replies
Noah Habtemichael
https://youtu.be/qqfaXwZH8o0
1 week ago | [YT] | 0
View 0 replies
Noah Habtemichael
DC Trip this Week,Yesterday joined Data Viz Lightning Talks with the DC Data & AI community.
viz and tell:talks, quick demos, and conversations with people building across the data ecosystem.
Great meeting the community in AI & Data
The companies that are winning today are not only adopting powerful tools, but giving their teams visibility into what is being used, what is working, and where measurable ROI is being created.
Great to connect with the DC data and AI community during this week’s trip. More conversations like this are a reminder that the future of AI adoption is deeply human!
clear communication, thoughtful design, and empowering people to act on insight.
Team Human, GenAIx
#DataAI #EnterpriseAI #DataScience #BusinessIntelligence #WashingtonDC #AIAdoption #FutureOfWork
1 week ago | [YT] | 2
View 0 replies
Noah Habtemichael
There is one thing that's easy to bet on, Humans!
Future ready Humans & Teams can sustain any environment!
1 week ago | [YT] | 1
View 0 replies
Noah Habtemichael
Great visiting DC’s newest tech hub STATION DC bringing together founders, startups, government, and the people building what comes next
Really good to see more spaces like this in DC
There is still a big gap between government and tech
But that gap is getting smaller
AI is moving fast
And the organizations that win will not just be the ones buying more AI tools
It will be the ones that can actually help their people learn, adapt, and use them in their daily work
That is what we are building at GenAIx
Helping companies move beyond AI experimentation
Upskilling Humas
Driving real adoption
Tracking what is actually creating ROI
The future of AI transformation is human!
Team Human
GenAIx!
#STATIONDC #DCtech #AI #AIAdoption #FutureOfWork #WorkforceTransformation #GenAIx
1 week ago | [YT] | 2
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