Nexttech

Nexttech
Creating Generational Legacies

Thursday, April 30, 2026

Jen Gaudet talks about having a strong brand in world of AI- Vision, Values, Reputation and Relationships

great insites from Jen Gaudet who interviewed Billionaires Mike and Kass Lazerow in New York


If You Think You Need Funding First, Read This:

Spent the day with founders and investors breaking down AI, visibility, and how to build at scale… without outside funding.

Here’s what actually matters:

1. Focus is not a buzzword. It’s a system.

Kass & Mike laid it out clearly:

* Vision alone is useless

* Values without action don’t scale

* Execution without metrics drifts

The real move:

* Define the vision

* Anchor it in values

* Build the method to get there - action

* Identify obstacles early

* Track the few metrics that matter

Most teams say they’re focused.

Very few operate like this.

2. Personal brand = reputation + relationships → revenue

From Maha Abouelenein

* Reputation is what people say when you’re not in the room

* Relationships are what get you in the room

You don’t need more content.

You need:

* Stronger positioning

* Real relationship capital

* Consistent value in the right rooms

That’s what converts.

3. LinkedIn is changing faster than most people realize

From MJ Jaindl

* AI can amplify you

* AI can also dilute you

The edge now:

* Know when to use AI

* Know when not to

* Protect your voice at all costs

I walked away realizing there’s another level here.

And I haven’t tapped it yet.

More to come.

The gap between visible and invisible is getting wider.

Which side are you on?

Monday, February 16, 2026

Aa$30B cap raise for Anthropic


Great article by my friend , Leigh Golombik 


Anthropic has just secured $30B at a $380B Valuation as Claude Code Revenue Surges. This Series G round makes one of the most valuable private tech companies in the world. This ranks among the largest private tech financings ever recorded, second only to OpenAI’s $40 billion raise.


The driver behind this record-breaking valuation? Real, accelerating revenue.


  • Anthropic reports its overall annualised revenue run rate has soared toward $14 billion, up dramatically from the prior year.
  • Much of this growth is powered by Claude Code, the company’s AI-driven coding assistant, now contributing over $2.5 billion in run-rate revenue more than double since early 2026.


So - what this means is:

💡 AI tools are becoming mission-critical for enterprises across industries. Claude’s growth is a case in point. 

💡 Competition With OpenAI Heats Up with both Anthropic and OpenAI pursuing massive private capital and potential IPO plans, the AI funding race may reshape public markets soon. 

💡 Anthropic has signalled plans for major data centre investments and expanded enterprise offerings, positioning itself as a full-stack AI player. 


At a time when many sectors face uncertain growth prospects, Anthropic’s funding round is a clear reminder that the AI ecosystem continues to draw outsized capital and ambition.


Whether unlocking developer productivity, transforming enterprise workflows, or redefining the landscape of tech giants, AI platforms like #Claude are at the forefront of the next digital revolution.


#ArtificialIntelligence #AI #StartupFunding #TechInnovation #EnterpriseAI #MachineLearning #VentureCapital #DeveloperTools #Claude #Anthropic #FutureOfWork


Thursday, November 20, 2025

🇸🇪 AI in Sweden: Everyone Wants to Ride the Train… But There Are No Tracks

Heard an amazing conversation with Eva Thunel & Magnus Saleti in Stockholm nd JT Foxx


Sweden is one of the most comfortable and efficient societies in the world—digital gov, trust, services that work.


But here’s the paradox:


When everything already works well, the urgency to innovate is lower.


Yet this is the country that gave us Spotify, IKEA, Klarna, Volvo, Ericsson.

And now tools like Lovell let you create an app in seconds. 🚀


The real opportunity isn’t hype—it’s rebuilding small businesses from the ground up with AI-native processes.


Today:


Everyone’s shouting about AI. But there are no tracks.


We need to build the foundations

  • Standards
  • Data flows
  • Skills
  • Infrastructure
  • New business models


We’re not just taking the AI train — we’re laying down the tracks.