Antoinette Prophy

AI does the grunt work. We do the thinking, creating, dancing and playing the piano. At The Prophy, a 4-day workweek isn’t a perk, it’s our human-first strategy. #AI #FutureOfWork #ProductivityRedefined

Africa isn’t one market. It’s complex, contextual and fragmented. AI trained on global data often misses what actually drives behavior here. Brands are seeing 20%+ gains when AI is paired with clean, localized data. #AI #Marketing #Data #TheProphy theprophy.com/the-architectu…

Sequoia's thesis that the next $1T company will sell work, not software, is the most important reframe in AI right now. The argument: if you sell a copilot, you're competing with every new model release. But if you sell the outcome — books closed, contracts reviewed, claims handled — every AI improvement makes your margins better, not your product obsolete. The key insight most people miss: for every $1 spent on software, ~$6 is spent on services. The entire SaaS playbook was about capturing the software dollar. The AI playbook is about capturing the services dollar — at software margins. Not "AI for accountants." The AI accounting firm. Not "AI for lawyers." The AI law firm. The companies that figure this out won't look like SaaS companies. They'll look like services firms rebuilt on software infrastructure. That's a fundamentally different company to build, fund, and scale. And most founders are still building copilots.

No one is perfect, but if you don't think highly of yourself, you'll ruin your life.

AI used to live in the cloud but soon it will live everywhere. Starting with your laptop and moving to your phone. Distributing AI also makes it more anti-fragile.

I have kids. I work in AI every day. And honestly? I have no idea what their careers will look like in 15 years. But I know what will carry them through. First, and this might sound unromantic: make money and save it for them. We can debate educational philosophy all day, but the world is changing so fast that financial security might be the most practical gift we can give. Buy some gold bars. Seriously. Second, nurture their imagination. AI rewards people with initiative and wild ideas. The kid who daydreams, who asks weird questions, who wants to try ten things at once? That kid will thrive. AI can execute. AI can be disciplined. What AI can't do is dream up something nobody's thought of before. Third, build resilience. There are no more iron rice bowls (guaranteed lifetime jobs). Any stable, predictable job is exactly the kind of job AI will learn to replace. Our kids will likely switch directions many times in their lives. Learn something new, get replaced, pivot, repeat. It's more like being a hunter than a farmer. Schools don't teach this. Schools teach you to follow a linear path: high school, college, grad school, stable job. That linear path is becoming the most dangerous one. Last, invest in their ability to connect with other humans. Not networking. Not schmoozing. Real emotional connection. Building trust, offering support, making people feel seen. As AI handles more of the rational, analytical work, the human ability to genuinely relate to other humans becomes more rare and more valuable. I don't have all the answers. But I know that imagination, resilience, and genuine human warmth aren't going out of style anytime soon. #AI #Parenting #Education #FutureOfWork

The CEO of Replit on how to AI-proof yourself (without writing a single line of code):

NVIDIA CEO Jensen Huang just said the quiet part out loud about what the education system will never admit. For a century, we built humans to think like calculators. The algorithm made that skillset obsolete overnight. Huang: “The definition of smart is somebody who’s intelligent, solve problems, technical. But I find that that’s a commodity. And we’re about to prove that artificial intelligence is able to handle that part easiest.” Software engineering was supposed to be the safe play. Superintelligence cleared it first. The SAT was supposed to measure intelligence. It was measuring the ability to follow instructions. Raw technical processing isn’t a competitive edge anymore. It’s the floor the machine stepped over before you woke up. The question isn’t what you can calculate. It’s what you can see before the data shows up. Huang: “People who are able to see around corners are truly, truly smart. And their value is incredible. To be able to preempt problems before they show up, just because you feel the vibe.” That vibe isn’t magic. It’s the collision of first principles, human empathy, and lived experience no model can fake. Huang: “That vibe came from a combination of data, analysis, first principle, life experience, wisdom, sensing other people.” The operators who see around corners will command the AI. The ones waiting for dashboards to update will be replaced by it. Huang: “I think long term the definition of smart is someone who sits at that intersection of being technically astute, but human empathy and having the ability to infer the unspoken, around the corners, the unknowables.” The unspoken variables are the new leverage. The human psychology inside a market. The invisible friction in a negotiation. The instinct to build something nobody asked for yet. You can’t spreadsheet your way there. You can’t prompt your way to that perception. It comes from decades of watching what doesn’t show up in the metrics. Huang: “And that person might actually score horribly on the SAT.” The future doesn’t belong to people who memorized answers. It belongs to people who sense the questions before anyone thinks to ask. The old system tested your ability to follow orders. The new one tests your ability to move through the unknown. And the machine can’t help you with that part. That part is entirely on you.

Decentralized intelligence is the future. Your AI. Owned by you.

Just gave a talk to 2,000 people today. 10 raised their hands; they've used agentic AI. 20% (maybe) knew what Claude was. You are earlier than you think you are... still.

🚨 BREAKING: Anthropic quietly dropped a 32-page playbook on building Claude Skills. Skills let you teach Claude your exact workflow once. It executes it every time after that. Across Claude.ai, Claude Code, and the API. No more re-explaining. No more inconsistent output. This is how AI goes from chatbot to custom operating system. PDF: resources.anthropic.com/hubfs/The-Comp…

Mark Zuckerberg is calling it! every business is GOING to have its own AI ecosystem. a full team of agents running support, sales, ops. all of it. the “agent economy” is coming. and most businesses are still running everything manually.

Mobile-first digital ecosystems, fintech-powered commerce and AI are reshaping how brands interpret demand and engage with consumers across the continent. The Prophy Africa Signal examines these patterns across Africa’s regional markets. The Prophy Africa Signal, coming soon.

By roughly 2030, AI will be capable of outperforming humans in 80% of jobs across all sectors, from blue-collar work to highly skilled professions like medicine and engineering. "Whether you're a physician, whether you're a radiologist, whether you're an accountant, whether you're a chip designer, or whether you're a salesperson, AI will do your job better. There will be an interim period where every professional will have four AI interns they're training to leverage themselves. I think the initial model of AI deployment will be AI interns working for somebody who's already a senior accountant, a physician, or pick your chip designer. But what happens when all labor is free? The abundance of goods and services will be very, very large. Prices will be very low. So I would suspect by 2040, even $10,000—will buy much more than you can buy if you have a $100,000 income today." ~ Vinod Khosla, Co-founder of Sun Microsystems & Billionaire Silicon Valley venture capitalist. --- From 'Fortune Magazine' YT Channel

Mark Cuban just explained AI better than ANYONE in silicon valley has all year… a tool. a way to learn. the biggest democratization of knowledge we've ever seen. but he's also splitting people into two camps. >ones who use AI so they don't have to learn anything. >ones who use it so they have the opportunity to learn everything. this split is going to define the next decade of careers. which side are you on?

A woman needs moments of rest to nourish her nervous system, to set aside time for solitude and let herself both ponder and simply do nothing at all — good for her mind, body & perhaps most importantly, her soul.

the real AI divide isn't technical vs non-technical anymore it's people who use AI agents daily vs people who don’t. And people building every day and people who don’t. the gap is getting enormous

Sam Altman just delivered one of the most powerful speeches of the century at the AI Impact Summit. And I agree with him completely. Iterative deployment instead of reckless acceleration. Massive productivity gains instead of artificial scarcity. Robots driving down the cost of physical goods. AI making healthcare, education, and intelligence radically cheaper. And yes, the honest part: current jobs will be displaced. Of course they will. You will not outwork a GPU. No one will. But that is not doom. That is transition. People 500 years ago would think our stress culture is absurd. In 500 years, they will look back at us and wonder why we tied survival to labor when machines could do the work. The moral duty of our generation is simple Use AI to expand prosperity Lower the cost of living Redesign the social contract Make abundance real If we get this right, we will be remembered as the generation that unlocked post labor civilization. History is watching.

In this interview, Demis Hassabis isn’t talking about a chatbot. He’s describing a Universal Assistant. One persistent AI that lives across phone, laptop, browser, car, and even glasses. It handles admin, anticipates needs, remembers context, and stays the same assistant everywhere you go. Once this exists, switching between apps, devices, and mental modes will feel archaic. Would you trust one AI with that much context about your life, or does that cross a line for you?

AI agents don’t just need vibes. They need structure. Markdown isn’t aesthetic. It’s signal discipline. Free-form language is powerful but it’s messy. Great for humans. Risky for automation. AI agents need consistent signals, not interpretive guesswork. digiday.com/media/wtf-is-m…

Agentic AI is starting to shop with us, but not everything will be fully automated. A six-level curve shows what agents can handle, where humans still step in, and why optimal delegation matters most. See how agentic commerce is really unfolding. mck.co/4aajQBF