The age of doers.

The value of expertise is coming down.

AI makes explanations, plans, and working prototypes available on demand. You can learn wherever you are, ask follow-up questions, challenge an answer, and test it by building.

“I don’t know how” is becoming a less useful reason to stop. The resources to begin are increasingly within reach.

The advantage is shifting toward people who act: who take initiative, aim high, and risk being wrong before they know exactly how to succeed.

Get good at figuring it out

The new mindset is “I can figure this out.” Expertise creates value when you apply it. Agency is the ability to turn that knowledge into action and completed work.

Progress requires courage, curiosity, and a willingness to make mistakes while learning. Take initiative. Attempt difficult work before someone asks you to.

AI use is moving from questions and conversations to delegation. Assign work to agents, review their results, and coordinate the next jobs.

Use agents to examine a subject from a hundred perspectives. Compare their answers, request evidence, and test the conclusions instead of relying on one explanation.

Learning still requires effort. AI expands the resources one person can use to understand a problem and act on it.

Build a first product before assembling a team. Test the business idea you have yet to pursue. Use agents to complete work beyond your individual capacity.

Every young person should learn to work with AI and agents. Use that capability to build a business, then another. Pursue five if that is the ambition.

Treat failure as part of development. Build, test, identify what failed, and improve the next attempt. Avoiding every failure leaves valuable ideas untested.

AI lowers the cost of experimentation. Use that advantage to pursue work you previously considered beyond your resources or ability.

Set ambitious goals and run experiments you can recover from. Increase the risks you take as your understanding grows. Develop the tolerance to fail and continue.

Give the work a new shape

For business leaders, the priority is workflow design: how the complete job gets done and who is responsible for each decision.

If your main AI strategy is to give everyone an AI tool, you’re falling behind.

We’re in the age of agents. Move beyond giving people tools. Design workflows around agents completing the work, with people setting direction and handling decisions that require their judgment.

Define the agent’s output, system access, and escalation rules. Test the complete workflow against the business result it needs to deliver.

Build a more capable business with a smaller team. Use that capacity to serve more customers, launch products, or open branches with less dependence on your daily involvement.

This requires ownership, an entrepreneurial approach, and a willingness to improve the first implementation. Progress comes from acting on what the work teaches you.

Don’t fight missionary battles

Whether you run an AI business or work with an unconvinced boss or team, avoid spending months debating whether AI has value.

Demonstrate a useful result in their own work. Give them the opportunity to question it, test it, and evaluate the value directly.

Create the conditions for conviction through firsthand experience. The decision to engage remains theirs.

Some people will not be ready. Remain available and focus your effort on the people willing to begin.

Some companies will never make the shift. Others will continue learning, improving, and building a competitive advantage. Waiting has a cost.

When someone asks, “Could it do this for us?”, be ready with a relevant demonstration and a practical first step. Turn that interest into work they can evaluate.

Build, test, and use the results to set a more ambitious goal.