The Most Valuable Skill Isn't Expertise—It's Translation
We are living in The Age of Information — aka, information overload. As information becomes more abundant and intelligence becomes cheaper, value shifts toward people who can translate between disciplines. The challenge isn't access to information—it's making sense of it.
“Publication has been extended far beyond our present ability to make real use of the record.”
The engineer who can explain technology to executives. The journalist who understands data. The product manager who connects users, business goals, and technical teams. The translator becomes the hub of the wheel.
I recently listened to a podcast discussing the rise of AI and a concept known as "the singularity"—the hypothetical point at which machine intelligence surpasses human intelligence and begins advancing faster than we can fully comprehend. Whether or not that future arrives exactly as predicted, the conversation made me think about something else:
If intelligence becomes abundant, what becomes scarce?
For decades, our economy rewarded access to information. Today, information is everywhere. AI can summarize articles, generate code, draft emails, analyze data, and answer questions in seconds. The challenge is no longer finding information; it's understanding what matters, connecting ideas across disciplines, and translating complexity into action.
“AI can now be put to work by nearly anyone.”
If AI can be used by nearly anyone, technical knowledge alone becomes less differentiating. The people who can identify problems, bridge disciplines, and guide teams toward solutions become more valuable.
That's where translators come in.
A translator is not simply someone who speaks multiple languages. A translator is anyone who can take knowledge from one discipline and make it useful in another. They are the people who sit between engineering and business, between research and practice, between experts and the public. We have more experts than ever before, but also more distance between them.
Looking back, much of my career has been spent in translation. I studied computer science and journalism—two disciplines that seem unrelated until you realize both are fundamentally about communicating complex ideas. Since then, I've worked in marketing, healthcare innovation, and now AI, often finding myself in rooms where the most valuable contribution wasn't having the deepest expertise, but helping different groups understand one another.