Global Content in the AI Era: Who Is Building the Guardrails?

AI made multilingual content easy.

Anyone in a global enterprise can now press a button and produce content in dozens of languages. Marketing translates campaigns, legal translates contracts, product teams localize interfaces: everyone translates, every day, across every department.

The problem is that nobody built the governance to go with it.

That is becoming one of the defining business challenges of the AI era.

That question sat at the center of a recent conversation Powerling hosted in partnership with CSA Research, inspired by two new reports, Language Is a CEO-Level Issue in the AI Era and Effective Executive Messaging.

The discussion brought together enterprise leaders who are actively navigating this shift inside their organizations. The conversation was simple, direct, and centered on one reality: AI scales content. Governance makes it reliable.

The shift: AI is trying to change who makes language decisions

The diagnosis is clear: translation has slipped out of view. Everyone now produces multilingual content, but no one is watching what it costs. Fluency feels free, which means executives assume it is. AI engines vary widely in quality across languages. Embedded translation tools dilute corporate governance. Language failures stay silent until they scream.

The point was direct: AI scales errors as fast as it scales content. Companies that treat language as a downstream task are scaling inconsistency, compliance exposure, and brand risk at the same speed. Companies that treat it as governance infrastructure move faster with less friction.

AI is here. The only question is how to govern it.

Earning your seat at a growth-stage company

Teresa Toronjo got rejected. Twenty times.

She had joined Malt, a European freelance marketplace, as a one-person localization function and seen something nobody else did: Malt’s local-domain model wouldn’t scale globally, and the company needed an international marketplace. The proposal had a name, malt.com, and it had become the project the company explicitly would not do. It was written into the 2024 plan that way.

She didn’t let it go. Her ally arrived in the form of a new global sales team with an aggressive revenue target. The general manager told her they had been asked to reach the moon, only in a rowing boat. Teresa showed him malt.com and asked if that would help.

“Yeah, that would be the rocket we need.”

By 2025, malt.com was Malt’s largest cross-functional initiative, uniting 45 people across six departments. Within five months of launch, it became the fourth highest revenue-generating domain at the company.

Then, in January 2026, the pushback returned. Teresa had to fight all over again. In a high-stakes meeting with the C-suite, when the CEO started drifting into a localization rabbit hole, she stopped him.

“Vincent, I have wine and cheese in the kitchen.”

They could talk for hours about localization after the decision had been made. But right now, she needed his approval.

She got it.

The wine and cheese conversation happened afterward.

Earning your seat at a global enterprise

Giselle Tran’s path looked different. She had a team, multiple products, and layers of decision-makers between her and the CEO. What she also had was a strategy.

“I’m a schemer,” she said early in the conversation.

It’s how she navigates a large enterprise: by finding the angles, the allies, and the opportunities that make complex things move.

After attending Powerling’s Boardroom Rehearsal in Monterey last October, Giselle returned to Sage with what she described as “way too many ideas and probably five more schemes than I had before I left.”

She helped her boss build slides for a new product-led growth program. She forced her own leadership team to listen to her talk about pitches for thirty minutes. She told them they needed to learn how to “get money and be a professional pesterer.”

“Sometimes,” she said, “you don’t wait for permission at all. You just do things.”

And when persistence works, the result isn’t always the one you imagined. Giselle fought for months to launch AI search at Sage. She got it, but not the way she wanted, not on her timeline.

“I was annoyed for a good six months the whole time working on it.”

It still became one of the most rewarding experiences of her year.

The toolkit: speak the language of the room

Part of the conversation focused on a challenge every localization leader eventually faces: translating their own value into language executives understand.

Not through cost per word, turnaround time, or quality scores, but through the terms executives are already accountable for: revenue, growth, compliance, risk, brand.

When the case is built in those terms, the work no longer needs selling.

Two minutes in the elevator

To close the session, each panelist was given a scenario: you are in an elevator with your CEO. They mention a business problem on their mind. You have two minutes.

Giselle’s CEO was talking about growing value for the existing customer base. She turned the problem into an opportunity: Sage has data from 300,000 real customer questions, but the insight sits outside the product, outside the AI experiences, and outside the customer journey. The fix is a content orchestration layer that dynamically guides customers through onboarding, renewals, and feature adoption.

“A growth engine that customers use, and we use their intent to drive adoption, expansion, and retention.”

Teresa’s CEO said malt.com would not continue in 2026. She didn’t hesitate.

“Remember when you put on the big screen that X percent of our revenue this year must come from international markets? How are you going to do that with an MVP?”

Then the evidence: malt.com had become the fourth highest revenue-generating domain at Malt within five months.

“Malt.com is the way.”

The final recommendation was simple: show what AI can do for low-risk content, then build direct alignment with compliance and risk stakeholders for higher-risk content. A miscommunication in language, culture, or tone can damage brand, revenue, and reputation.

The ask is for a seat at the table where risk is managed.

Human at the core, not in the loop

From a one-person team to a global enterprise, the panelists agreed on what this new era requires.

Teresa:
“Localization has always been a beautiful industry where people support each other. Let’s try to stay human.”

Giselle:
“Lean into your human side. The empathy, the building with each other, the storytelling.”

Alison:
“I’m fed up with hearing ‘human in the loop.’ It’s not human in the loop. It’s human at the core.”

Fabiano took the final word.

For 40 years, the industry has tried to explain localization to the world, and it never fully stuck. Now, in the AI era, we face a different risk: hiding behind “Artificial Intelligence,” a label that can obscure the very expertise that makes this work possible.

The technology is called a Large Language Model.

Language is in its very name.

We are the language people.

The seat at the table is already ours.