Right now, Silicon Valley is experiencing an odd phenomenon that has very little to do with code. It’s not always engineers adjusting model weights at two in the morning who are hired at the highest pay bands when you stroll past the glass-fronted offices in SoMa or Palo Alto.
A few of them are authors. former editors of newsrooms. directors of communications who have worked on policy desks for twenty years. They are being courted with salaries that, until recently, appeared to be only available to those who actually manufacture the goods.
| Field | Details |
|---|---|
| Topic | Bilingual AI communications roles in Big Tech |
| Highest Listed Salary | Up to $1.2 million (Netflix, Senior Director of Comms) |
| Top AI Firm Hiring | Anthropic — head of product communications, around $400,000 |
| Other Hirers | OpenAI, Perplexity, Adobe, Meta |
| Adobe AI Evangelist Salary | Over $270,000 |
| Anthropic Comms Team Size | Roughly 80 people, tripled in recent years |
| Average US Comms Director Pay | About $107,000 (Indeed) |
| Public Sentiment on AI | 50% more concerned than excited (Pew, 2026) |
| Job Cuts in 2025 | 1.2 million, up 58% year-over-year |
| Years of Experience Typical | 10+ years for senior roles |
For up to $400,000, Anthropic is hiring a head of product communications. There are several communications positions at OpenAI that are close to $430,000 plus equity. Never one to hold back, Netflix posted a senior director position with a maximum salary of over a million dollars. Adobe is seeking a “AI evangelist” for more than $270,000. Even those in the industry seem a little taken aback by the pattern, which is difficult to ignore and has been developing so quickly.
Although there isn’t yet a clear term for the skill these companies are paying for, “bilingual AI” does a good job of describing it: fluency in both the more straightforward, cautious English that investors, regulators, and regular employees actually understand, as well as the complex technical vocabulary of machine learning. In a literal sense, it is a translation job. It turns out that translation is the bottleneck, which is why it is becoming more costly.
The public’s perception has been declining. 50% of Americans now say they’re more worried than excited about AI, up from 37% in 2021, according to recent Pew research. Just 10% claim that excitement is more important than worry. In five years, that is a significant decline. Investors haven’t shown much compassion. The payoff has been slower and more uneven than the spreadsheets suggested, despite the enormous capital expenditure on data centers (Google has stated it will double its spending, Meta is doubling down on acceleration in 2026). In a single day, market caps have lost billions due to a single poor earnings call.
The atmosphere hasn’t improved due to layoffs. Last year, about 1.2 million jobs were eliminated, a 58% increase from 2024. Management researchers claim that most of those weren’t really brought on by AI automation, but businesses have been using the technology as a neat justification for headcount reductions they desired anyhow. The general public has taken notice. According to an American Psychological Association survey, employees who worry that AI will replace them report feeling more tense and stressed, even if they are unable to identify the specific AI tools that their employer uses.
In a recent LinkedIn post, Whitney Munro, the head of the consultancy FLEX Partners, succinctly stated: “AI is complicated. Customers, employees, and regulators are experiencing genuine anxiety as a result of its rapid evolution. Clarity becomes a strategic advantage in that setting.” The word “clarity” appears frequently in these job postings, almost like a warning sign. She continued, “Communication stops being marketing when you’re building something powerful enough to rearrange industries.” Internal morale, investor assurance, risk management, and regulatory handling become intertwined.
It’s difficult to ignore the irony. The businesses that have made the biggest investments in language-generating machines are paying record amounts for people who are proficient in it. Perhaps that’s simply where we are. People who can calmly explain what’s really happening in front of a skeptical reporter or a senate hearing without losing the nuance or sounding like a press release are suddenly worth more than the typical software engineer because technology is advancing so quickly. It remains to be seen if that holds true in five years. The checks are clearing for the time being.
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