Noah Habtemichael

Supabase x Datadog meetup in NYC
Tools like Supabase are removing the need for traditional DBAs, enabling lean teams to build and scale faster.

The abstraction of complexity is accelerating &
Observability is becoming non-negotiable.

Datadog’s database monitoring showed how critical it is to trace performance issues end-to-end, from application to query level.


AI is quietly embedded in workflows. AI-powered optimization recommendations are shifting teams from reactive debugging to proactive performance management.

This is what AI adoption actually looks like inside companies today;
not just copilots,
but systems that reduce expertise barriers and compress time-to-decision.

And this is exactly where many organizations are still stuck.
They’re experimenting with AI at the surface level, but haven’t transformed the underlying workflows, tooling, or team capabilities needed to fully realize ROI.

At GenAIx, this is the gap we focus on:
Helping companies by upskilling humansmove from isolated AI usage → to true operational transformation.
Because the future isn’t just about using AI tools.
It’s about building organizations with humans that can run them.

Team Human, GenAIx

15 hours ago | [YT] | 0

Noah Habtemichael

AI skills now outrank MBAs, Recent PwC survey,
Executives Are Paying More for AI Skills Than MBAs:
A recent PwC survey of more than 1,000 US financial services executives
found that 86% believe AI training is more valuable than an MBA for many new hires.

91% of those executives say they are raising compensation for employees with AI skills, and over half are explicitly willing to pay higher wages for staff who can use AI effectively.

GenAIx's full Article:
www.linkedin.com/pulse/ai-skills-now-outrank-mbas-…

1 day ago | [YT] | 1

Noah Habtemichael

MCP Release Party @ Datadog
By the @AAIF Communit last week

Great insights on the future of AI interoperability and what the latest MCP release means for real world applications.

practical insights across protocol updates, operating lessons, and the security and authorization gaps that still need attention.

MCPs are moving from concept to adoption in production environments.

Events like this are a reminder that the AI shift is not just about new tools, it is about adoption, upskilling, and execution.

As MCP and the broader GenAI ecosystem continue to evolve, teams will need to keep learning, experimenting, and building the skills to use these systems effectively.

That is exactly why the GenAIx platform exists, to help people and organizations stay ahead of the curve through AI adoption and upskilling.

The future belongs to teams that can turn emerging AI standards into real capability.

Team Human, GenAIx!

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2 days ago | [YT] | 4

Noah Habtemichael

https://youtu.be/Q1HMsh5MiG0

4 days ago | [YT] | 1

Noah Habtemichael

Forward-Deployed AI Forum NYC

AI: moving from demos to durable deployment. The conversation around forward-deployed engineering, customer-driven product development, governance, and adoption felt especially timely as more companies realize that real AI value comes from implementation, trust, and workflow change ,not just model access.

Enterprise AI adoption only scales when teams pair strong technical execution with upskilling, change management, and clear ROI.

That is exactly the work we care about at GenAIx helping organizations turn AI interest into practical adoption, workforce capability, and measurable business impact.


Team Human,GenAIx !

5 days ago | [YT] | 4

Noah Habtemichael

NYC Rooftop Tech Mixer with Cortex and Rootly ,
A strong reminder of where engineering, and work itself is heading.

Conversations weren’t just about tools.

They were about pressure:

how teams are expected to ship faster, maintain reliability, and now integrate AI into workflows without breaking what already works.

Platforms like Cortex and Rootly are stepping in to reduce friction and automate complexity, but the bigger shift is happening at the human level.

AI isn’t just changing systems,
it’s redefining what teams need to know.

The engineering leaders I spoke with are no longer just thinking about infrastructure or incident response.

They’re thinking about:
How their teams adapt to AI copilots
How to build AI fluency across roles
How to measure productivity in an AI-augmented environment


That’s the gap we’re focused on at GenAIx.
Because adopting AI tools without upskilling your workforce is like upgrading your tech stack without training your team,
you don’t get the ROI, and you introduce new risks.

Events like this make one thing clear:
the companies that win won’t just adopt AI faster,they’ll enable their people to work with it better.

Team Human, GenAIx

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6 days ago | [YT] | 4

Noah Habtemichael

Corporate Venture Capital
A few themes that stood out:
CVC is no longer just capital, it’s distribution, validation, and strategic alignment


The best startups treat corporate partners as long-term go-to-market channels, not just investors


What was especially interesting is how much this overlaps with what we’re seeing in AI adoption right now.

Enterprises don’t just want AI tools,

they want proven, ROI-driven implementations. And increasingly, they’re turning to startups (often via CVC relationships) to test, validate, and scale those solutions internally.


At GenAIx, this is exactly where we’re focused:

Helping companies move from AI experimentation → to measurable Adoption & impact through structured upskilling, deployment, and ROI tracking.


Human upskilling is the best way to distribute AI Adoption & measurable impact on ROI

Team Human, GenAIx

1 week ago | [YT] | 2

Noah Habtemichael

NYC Tech Rooftop Mixer hosted by Andrew Yeung and MongoDB

It's always amazing meeting NYC's sector diverse tech community

companies are no longer asking whether to explore AI, but how to implement it in a way that actually improves ROI.


At GenAIx, that’s the work we care about every day: helping teams move from curiosity to capability, and from experimentation to measurable adoption.

Events like this are a great reminder that the future of AI won’t be built by tools alone,
it will be built by communities of people who know how to use them well.


Empowering humans is the most effective way to drive change anywhere!

Team Human , GenAIx

1 week ago | [YT] | 3

Noah Habtemichael

https://youtu.be/4YzdeLEUVHU

1 week ago | [YT] | 1

Noah Habtemichael

Chief of Staff, Beyond the Title:
The Chief of Staff role is becoming one of the most important operating roles in startups.

Was great meeting Cheif of staffs in NYC

As startups move faster COS's are involved in reshaping how teams work, connecting strategy, execution, and behavior change across the org.


What stood out most to me is that AI adoption is not just a technology problem

It’s a leadership and behavior problem, and Chiefs of Staff are uniquely positioned to help drive that shift.

At GenAIx, we’re seeing the same pattern firsthand: the companies that win with AI Adoption are the ones that pair the right tools with the right team behavior changes, change management, and execution rhythm.


Team Human, GenAIx

1 week ago | [YT] | 1