Ignore the AI Noise. Chase the Signal.

There is a lot of "WHOA LOOK OVER HERE.... AI!!!" posts these days.

Cue anxiety state of daily work rhythms overpowered by sense of confusion, fear, and frustration that there is no hope of keeping up....

The signal can easily get lost in the noise.

However, RIGHT NOW is among the MOST IMPORTANT times to understand how to best invest your time and energy.

Eric Schmidt's recent interview with Peter H. Diamandis provided good macro systems thinking around where we are in the AI landscape. Highly recommend a watch / listen.

The key takeaways: Digital superintelligence within 10 years — AI smarter than ALL humans combined. World-class AI mathematicians in 1-2 years. "Pocket AI agents" with Einstein-level intelligence coming soon. Companies that focus on creating "Learning Loops" will win.

OpenAI's ChatGPT Agent launched, executing multi-step tasks autonomously. Alongside Mariner from Google, Manus, and others, AI can now operate your computer to do digital work on your behalf. This will unlock tremendous value, enhanced workflows, and change patterns of how we interact with our digital lives and work.

Imagine not having to click through endless screens to achieve your objective of "book me a flight for under $400 to New York from San Fran on Oct 3rd leaving in the morning after 10AM". AI can do that for you through these Agents. Now extrapolate that out to the endless clicking we do to navigate systems all day, everyday, and take back your time.

When the value is this high, interface shifts happen faster than ever before. Are your parents talking to ChatGPT like it is their neighbor, financial advisor, and search assistant? Mine are. Now compound that with the riddance of pesky clicking and hard to operate interfaces which agents can provide and they finally can be set free.

New OpenAI models achieved gold-medal performance in the international math olympiads. Most surprising is that it was accomplished by a general purpose reasoning model. They were not even aiming to get better at math — it just happened as an artifact of their focus on inference time scaling.

This will not be the last of the accidental discoveries in the coming months. AI is cresting from reasoning to invention. Before long we will wake up to game changing discoveries every day, made possible by one brilliant kid in her basement, that invoked her team of AI math olympiads and agents to crack the case based on her unique way of seeing the world.

Safety considerations slowed open-source model releases from OpenAI: This apprehension is signaling that even aggressive AI companies are grappling with how to handle next steps. We are reaching the edge.

Eric Schmidt went as far to recently push for a Mutually Assured Destruction equivalent for AI, similar to what happened with Nukes. The tension between unleashing transformative potential and preventing catastrophic misuse is becoming the defining challenge of our time.

While Eric and Peter discussed AI regulation and gigawatt data centers, they buried the lead in the real opportunity: LEARNING LOOPS.

These are what will give your company and yourself a sustainable path.

A learning loop is a continuous cycle where a system gets smarter from its own experiences and data. The basic cycle: Action — you try something. Data Collection — you capture what happened. Analysis — you identify patterns and insights. Adjustment — you modify your approach. Repeat — the improved version goes through the same cycle.

What makes learning loops powerful: They're self-improving — each iteration builds on the last. They compound — small improvements multiply over time. They're automatic — once set up, they run continuously. They're data-driven — decisions based on evidence, not guesses.

With AI, learning loops get supercharged. Analysis happens instantly instead of monthly. Patterns invisible to humans become obvious. Thousands of hypotheses can be tested simultaneously. Personalization can happen at individual level, not segments.

The key insight: while competitors make annual strategic adjustments, companies with strong learning loops improve every single day. It's the difference between evolution and revolution happening continuously.

Building these culture and capability requires specific skills: systems thinking, metacognition, resilience, adaptability. But the most crucial might be curiosity, a uniquely human trait that pursues seemingly impractical questions until they yield breakthroughs.

AI can process patterns, but humans ask "what if?" in ways that defy logic. When we combine AI's processing power with human curiosity in tight learning loops, we unlock innovations that neither could achieve alone.

Nvidia was creating GPUs long before they became the fuel for AI. But they were ultimately in the right place, at the right time, with the right product and became the most valuable company in the world in a matter of a few years due to the sheer scale of demand.

A similar exponential demand curve exists right now for companies focused on creating educational, upskilling and talent mobility / intelligence solutions.

For EVERY COMPANY and every INDIVIDUAL trying to navigate their place in this new world, education sits at the transformation epicenter. It is the GPU of this transformation and as such has a larger TAM than ever before in our history.

AI-native learning software isn't just a new shiny tool. It's the key to thriving in our accelerating world. These solutions will help us navigate daily challenges of an increasingly complex world while doing something even more powerful: transforming our wildest, most abstract ideas into breakthrough innovations.

We excel at seeing connections that shouldn't exist, finding causation where AI only sees correlation, and abstracting models from chaos. But perhaps most importantly, we break rules on purpose. We destroy what works to build something better. AI optimizes within constraints — humans blow up the constraints entirely.

A recent MIT study suggests we are losing cognitive function by leaning on AI to do our thinking for us. The companies that will win in this new environment will have the best learning loops; making both humans AND AI systems smarter together.

Here's the question that matters: Is your company using AI to replace human thinking or to expand it?

There's a crucial difference between outsourcing your brain to ChatGPT and using it as a springboard to explore ideas you've never imagined possible. One makes you dependent. The other makes you unstoppable.

My investment thesis is simple: bet on technologies that expand human potential, not replace it. Even in an age of superintelligence.

Yet too many leaders are chasing the easy win: swapping human workers for AI to cut costs and boost quarterly earnings. This short-term thinking is dangerously myopic.

The real opportunity isn't in the cost savings. It's in using AI to unlock human capabilities we haven't even discovered in ourselves yet.

I know one thing for sure. Placing the right bets over the next 18 months is without a doubt the biggest investment opportunity of any of our lifetimes.

PEOPLE: Find the people that are actively rewiring the way they think about problems. Engage with them often and reciprocate. It takes active and intentional engagement.

TEAMS: Build or find teams that combine emotional intelligence with relentless collaboration and fearless curiosity. Skip the ego-driven people, the empire builders, and the hierarchy obsessed. You need people who create leverage through genuine partnership, not power plays.

COMPANIES: Look for companies and opportunities that understand these new economics of learning loops, team acceleration, and double down.

Which path are you choosing?