Harnessing the Agent Era: Moats, Global Reach, and a New Management Playbook

There is a word making the rounds in Silicon Valley lately: Harness — as in, harnessing AI Agents.

As agents begin to enter the enterprise, change is unfolding on three fronts.

The Moat Has Shifted: From Technology to Data

The technology gap between OpenAI and its competitors hasn't widened. Open-source and closed-source models remain neck and neck. The gap between top-tier Chinese and American foundation models is roughly six months. Technology is almost certainly no longer the moat.

The new defensibility comes from four things:

Proprietary data — AI cannot see your internal data. That is your unique context.
Domain expertise — The tacit knowledge of seasoned practitioners must be structured and codified into knowledge bases that agents can query.
Business model — Distribution channels, customer relationships, brand trust — none of these can be replaced by a foundation model.
Surface area — Grammarly is thriving in the GPT era not because of superior technology, but because users can access it right where they already work.

One more thing that is easy to overlook: your knowledge base is no longer written for humans — it is written for agents. A screenshot in your internal wiki may be perfectly readable to a person, but an agent cannot parse it.

Customization Can Finally Scale

China's B2B industry has long been trapped in an impossible trilemma: differentiated requirements, cost control, and repeatable scale — pick any two.

AI is breaking that structure. Once agents can decompose tasks, invoke tools, and execute autonomously, marginal costs drop dramatically. Customization becomes scalable.

Palantir's Forward Deployed Engineer model offers a useful reference: engineers embed on-site in high-intensity collaboration, rapidly absorbing requirements and iterating. Today, this looks like an AI-augmented custom delivery system. For Chinese enterprises, the B2B opportunities that were once too heavy, too slow, and too hard to replicate are reopening.

Token Exports

"Going global" used to mean shipping products and building brands. Now there is a new form: exporting tokens.

Token pricing in China is far below U.S. levels. You cannot export electricity, but you can export AI services. More importantly, token exports are fundamentally a services trade — not directly subject to traditional tariffs.

The next phase of global competition will not just be about selling products. It will be about selling inference capacity and intelligent services.

Managing Agents = Managing Outcomes

When the cost of experimentation approaches zero, speed is the only competitive advantage. The iteration cycle for Silicon Valley startups has compressed from three months to one week.

How do you harness an agent? Three things: give it a goal, give it a standard, give it boundaries. This is no different from managing people.

Managing process is instinct. Managing outcomes is a skill.

Do not micromanage your agents. Give them clear objectives and context, then let them decompose the work themselves — the results are often better than step-by-step instruction. Take it further: let your agent team keep producing while you sleep. What separates you from the pack is the number of tokens generated while you sleep.

AI will not replace people, but people who use AI will inevitably replace those who do not. In the agent era, the three most important traits for a business leader are: curiosity, execution, and the ability to manage.