Building & Selling AI

Investing Strategy 2026

Last updated 2026-07-31

What's new

2026-07-31
  • AI tools (artificial intelligence programs) like LLMs (large language models) can give financial advice, but it's often not trustworthy, as small changes in input can lead to completely different recommendations.
  • Frontier models (leading AI tools) may provide seemingly sound financial advice, but it can be harmful, like suggesting a business in debt to acquire more property, rather than focusing on reducing costs.
  • AI tools that learn from real outcomes (what actually happened in similar situations) tend to give better financial advice, like suggesting a business to negotiate vendor costs instead of raising prices.
  • Research shows that even with all a company's data, frontier models often struggle with long-term business decisions, while simple rule-based systems can outperform them.
2026-07-16
  • Claude (an AI assistant) can automate boring tasks, like sorting emails into categories (leads, urgent, etc.) and drafting responses, saving you 5-10 hours weekly.
  • For leads, Claude can research companies, draft replies, and even schedule meetings using your calendar, streamlining your sales process.
  • After client calls, Claude can generate branded PDF proposals with scope, pricing, and signatures, saving time on manual proposal creation.
  • This setup can be adapted to various jobs, especially those involving sales, marketing, or regular research tasks.
2026-07-10
  • AI can help you invest by finding hidden opportunities, like using trends from research papers to spot industries others might miss.
  • Before investing, use AI to "red team" (critically test) your idea by asking it to list ways you could lose money, helping you avoid bad decisions.
  • AI can monitor your investments with real-time dashboards, allowing you to track performance without constant manual checks.
  • Stick to investing in areas you understand, as AI can't give you an advantage in fields you know nothing about.
2026-07-07
  • **AI loops** (self-running tasks where AI checks and fixes its own work until a goal is met) are a big leap in AI use, endorsed by experts like Peter Steinberger (creator of Open Claw, a popular open-source AI tool) and Andre Karpathy (former OpenAI and Tesla expert).
  • **Claude Code** (a coding assistant by Anthropic, a leading AI company) now has built-in commands for loops, making it easier to set up and run these self-managed AI tasks.
  • **Loops can save time and effort** by automating tasks like building a sales analytics dashboard (a tool to visualize sales data) without constant user input, but they need clear goals and checks to work properly.
  • **Setting up loops requires giving AI access to necessary tools**, like a browser (a program to view websites), which can be done with a simple command in Claude Code.
2026-06-25
  • **Value your time**: Rich people spend money to save time, while broke people spend time to save money; know your worth and stop doing tasks you can pay others to do.
  • **Focus on big problems**: Your income matches the size of the problems you solve, so aim to tackle larger issues to make more money.
  • **Speed matters**: Making quick decisions gives you a competitive advantage, as opportunities often disappear if you wait too long.
  • **Invest in yourself**: Skills compound faster than money, so focus on improving your abilities rather than preserving wealth.

Key points

What it is

  • Investing Strategy 2026 is a way of thinking about AI that focuses on building lasting systems (reusable workflows and decision hierarchies) instead of relying on specific AI tools.
  • It's about creating a hierarchy that understands your business context, voice, and processes, then using the best AI tools available to execute it.
  • The goal is to avoid "half automation," where you're stuck using outdated or ineffective AI tools, and instead build a system that compounds in value over time.

How to use it

  • Start by writing down your investment strategy in simple terms, focusing on what you know and understand well.
  • Train an AI agent (automated program that performs tasks) on your strategy, feeding it your notes and teaching it your decision-making process.
  • Use the AI agent to research, plan, and execute trades or other investment activities, iterating and improving over time.
  • Build something you could sell, like a company, to force discipline and create a valuable asset.

Watch out for

  • Avoid investing in things you can't explain simply to someone who doesn't know much about it.
  • Don't chase fads or invest in things just because they're popular or you have some extra money.
  • Stick to your lane, focusing on areas where you have specific knowledge and have felt the pain the investment solves.
  • Be cautious of the pitfalls of AI, such as relying too much on it or using it for tasks it's not suited for.

Tools named

  • Claude (an AI assistant for training and executing investment strategies)

Lesson 1: What is Investing Strategy 2026 and why it matters

What is Investing Strategy 2026 and why does it matter for AI development?

Investing Strategy 2026 is a mindset shift: instead of betting on specific AI tools, you invest in durable systems (reusable workflows and decision hierarchies) that outlast any single model. One creator calls this "the only AI investment that doesn't expire" — you build a hierarchy that knows your business context, voice, and processes; then point whatever AI is best this month at it. Half of today's AI tools will be gone in three years, but your hierarchy won't.

This matters because the wrong strategy locks you into "half automation" — the most dangerous place to be in 2026. Most businesses have already made this mistake without realizing it. Pure prompting or using today's hot tool won't get you ahead.

The real skill isn't prompting; it's "thinking in systems" (designing repeatable processes that deliver paid outcomes). Businesses buy reliable execution and reduced labor costs, not intelligence. As one head of AI explained, their job is to define AI strategy across 15 companies — not to pick the coolest model.

And there's urgency: self-improving AI may arrive by 2028. Whoever hits it first essentially wins. So you need a portfolio approach — placing enough bets across systems so you hit the one that changes everything, rather than assuming you can know scope and cost upfront. Build the hierarchy now; it's the only investment that compounds.

Sources

Lesson 2: How to use Investing Strategy 2026: step-by-step

How to Use Investing Strategy 2026 Step by Step

Start by writing down your strategy on paper. Ask yourself: how often will you check the news, what signals tell you to buy or sell, and what is your gut routine about trading? If you cannot explain your investment in one simple sentence to someone who doesn't know much, it is too complicated — stay away from it. The investment also must always be true, not a fad. Chasing fads is like playing a lottery game. Instead, invest in things you own where equity (ownership value) continues to roll in and grow faster.

Once you have your written strategy, you can train an AI agent on it. Take your paper notes and feed them into a tool like Claude. Treat the AI as your best friend who is the best trader in the world. Tell it your exact strategy: when you buy, when you sell, and what news you check. The more of your gut intuition and routine you put into the AI, the better it will perform. Over time, you help it learn from its mistakes by iterating.

For example, one investor followed a few top players in the investing space for years, collecting their trade signals (buy/sell alerts). He trained an AI on those exact methodologies and gave it access to execute trades. He let the AI research every two hours, make a plan, and trade throughout the day.

If you are not comfortable yet, start with paper trading first. Also, always invest in what you know cold — if you are good at something, align other people around that ecosystem.

Sources

Lesson 3: Best practices and pitfalls

Investing in 2026 comes with clear pitfalls and proven best practices. The biggest mistake is investing in something you cannot explain. One investor warns he paid “hundreds of thousands of dollars in back taxes” after following a strategy he couldn’t describe. The fix: make sure you can explain your investment in one simple sentence to someone who knows little. If it’s too complicated, stay away.

Another common pitfall is chasing fads. The same investor says chasing fads is like “playing a lottery game.” Instead, investments should “always be true” — things that will always be needed. He also cautions against jumping into funds, stocks, or real estate just because you have “a little extra money” and want to “feel rich.” That can keep you stuck.

The best practice is to “stick to your lane” — your unfair advantage. Another source repeats: “Double down on it. You will always make more money doing the thing you know how to do more than anybody else.” Ask yourself two questions before any investment: Do I have specific knowledge in this area? Have I felt the pain it solves? If yes, it’s likely a good fit.

A powerful strategy is to build something you could sell — a company. “The best investment I’ve ever made wasn’t a stock. It wasn’t real estate. It was building a company I could sell.” Even if you never sell, running a sellable company forces discipline.

Finally, use AI tools wisely. AI agents (automated programs that perform tasks) can do the “slow part of equity research” and hand you a summary, drawing on serious financial data like PitchBook and FactSet. This helps you make faster, smarter decisions without hype.

Sources