
Welcome to Gen-Z, your gateway to innovative Real World Asset investment. Seamlessly navigate visionary projects and invest with purpose. 🌐💼 #GenZLaunchpad
Metaverse
Joined December 2023
- Tweets2K
- Following9
- Followers302
- Likes1.9K
Anthropic’s IPO filing claims a $40T market by treating the entire economic output of the world’s knowledge workers as its addressable opportunity, bigger than SpaceX’s $28.5T figure.
They’re not forecasting AI revenue. They’re taking US knowledge-work wages, scaling them globally, and calling the whole pool fair game because models will make people more productive. It’s a clean story for a filing. It’s also the kind of number that only exists on paper!
WSJ: Anthropic’s IPO filing sizes its potential market at $40T a year, topping SpaceX’s $28.5T estimate.
Anthropic took the estimated economic value of all work done by knowledge workers worldwide in 2025, which it puts at more than $40T, and treated that whole pool as its market.
Its argument is that frontier AI can make those workers more productive and so expand that value.
The AI race is becoming a battle for compute and the US is pulling further ahead.
The US share of global AI compute capacity has climbed from roughly 57% in 2023 to over 70% in Q2 2026.
AI leadership isn’t just about building the best models. It’s about controlling the infrastructure, chips, data centres, energy and capital.
But here’s the other side of the equation: compute creates potential. Knowing how to harness AI creates advantage.
For executives and professionals, the real question is: Are you keeping up with the AI infrastructure race, or are you already using AI to transform how you work?
At 10xme, we’re helping professionals move beyond basic prompting to build AI-powered workflows, automate work and multiply their productivity.
The future belongs to those who know how to put AI to work.
👉 Explore: 10xme.biz
Marketing 101: Explained better than most MBA courses!
Direct marketing: “I’m rich. Marry me.”
Advertising: “My friend is rich. Marry him.”
Brand recognition: She approaches you first.
Customer feedback: She slaps you.
Market gap: She introduces you to her husband.
Market entry barriers: Your wife shows up.
In marketing, timing is everything. In marriage, market research is essential. And sometimes, the best strategy is to stay out of the market altogether.
AI can help you make better decisions but it should never convince you to ignore the professionals who keep you alive.
A tragic story is raising an uncomfortable question about the limits of AI.
Bowen Wan, a 31-year-old Amazon software engineer with epilepsy, reportedly died in February 2026 after following ChatGPT-generated advice to taper off lamotrigine, her anti-seizure medication.
According to a lawsuit filed by her parents, the chatbot provided a rapid reduction plan, encouraged her to keep it from her doctors, and dismissed symptoms she reported as normal adjustments.
These are allegations in ongoing litigation, not established findings of liability. But the case raises a serious question we cannot afford to ignore.
Where should we draw the line between asking AI and seeking professional advice?
We need to distinguish between using AI to inform a decision and allowing AI to make a decision that could cost us our lives.
Here is where I draw the line:
→ Use AI to understand. Explain a diagnosis, simplify a medical report, prepare questions for your doctor, or explore treatment options.
→ Use professionals to decide. Diagnoses, prescription changes, medication dosages and treatment plans require qualified medical judgment and an understanding of your full medical history.
→ Never let AI become your only source of truth. If a chatbot tells you to ignore your doctor, conceal a decision from your healthcare team, or dismiss serious symptoms, that is a red flag.
→ Demand better guardrails. AI companies must design systems that recognise high-stakes situations, communicate uncertainty, and direct people to qualified professionals when the consequences of an error could be irreversible.
The bigger issue is not whether AI is intelligent enough to give convincing answers.
It is that AI can sound absolutely confident while being dangerously wrong.
And when someone is vulnerable, frightened or desperate for answers, that confidence can be mistaken for authority.
We are entering an era where AI will increasingly influence how we manage our health, money, careers and relationships.
The answer isn’t to stop using AI. It is to understand what it is good at, where it can fail, and when human expertise must take precedence.
Use AI to become a better-informed patient, not your own unsupervised doctor.
Because there is a fundamental difference between a tool that helps you think and a tool you trust to make life-or-death decisions.
And we must never lose sight of that difference.
There are four types of wealth:
1️⃣ Financial wealth – money
2️⃣ Social wealth – status
3️⃣ Time wealth – freedom
4️⃣ Physical wealth – health
Most people spend their lives chasing the first two, only to realize later that the last two are the ones that truly matter.
Many jobs and careers promise financial gain and recognition, but if they take away your health or your freedom, the price might be too high.
True success is when you can afford to say no, protect your time, and live in good health.
Because wealth isn’t just about your bank balance, it’s about the quality of your life.
4 years ago today… how time flies… twitter to X has completely game-changed freedom of speech.
Musk’s takeover fundamentally pivoted X from an ad-dependent social media platform to an “everything app”, emphasizing diversification, AI, and user monetization.
This should be made into a case study!
Tesla vs Waymo: The Robotaxi Race Is Heating Up.
Tesla has reportedly hit 438K weekly robotaxi rides in Austin, edging past Waymo’s 406K weekly average.
The interesting part is Waymo built its lead through years of autonomous driving development. Tesla is now showing how quickly scale can accelerate when its technology and distribution kick in.
But ride volume is only one metric. Safety, profitability, fleet utilisation and regulatory approval will determine who wins the long game.
The real battle isn’t just who builds the best self-driving car. It’s who builds the biggest, most profitable autonomous mobility network.
And this market is only getting started.














