
“Infrastructure for Architects.”
As engineers become editors, mastery of visual storytelling is essential. Infrastructure for creators, engineers, and editors navigating what comes next.
Intelligence Series | Global Tech
In recent weeks, a single comment from Anthropic CEO Dario Amodei has ricocheted across tech circles, social media, and group chats: “I don’t write any code anymore. I just let the model write the code, I edit it.”
He went further, suggesting that within six to twelve months, AI models could be doing “most, maybe all” of what software engineers currently do end-to-end. For some, it sounded like a death sentence for software engineering. For others, confirmation of what they were already feeling at work.
But stripped of headlines and panic, Amodei’s remarks are not about extinction. They are about transition — and power.
What Amodei Is Actually Saying
In the same conversation, Amodei is careful to add caveats that often get ignored: Not every part of engineering can be automated, physical constraints still matter (chips, manufacturing, training time), and the speed of change remains uncertain.
In a World Economic Forum discussion, Anthropic CEO Dario Amodei describes how AI is already changing the daily work of engineers.
The Loop Isn’t Closed Yet
The “loop” includes: Writing code, Testing, Deployment, Infrastructure, and Accountability. Wherever the loop remains open, human authority remains essential.
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What This Shift Means for Minorities
Technological revolutions land on top of existing inequalities. For Black, Brown, and underrepresented communities, the risk is that the transition pathways are unevenly distributed. Historically, those with access move first, while those without are labeled “unprepared.”
Software engineering already struggles with representation. If the role shifts toward higher-level system design and AI oversight, the question becomes: Who gets trained for the new roles — and who is quietly filtered out?
Recycling the Role of the Engineer
Engineers are becoming architects of systems and governors of risk. The winners are not the fastest coders; they are the clearest thinkers.
When AI writes the code, who gets to write the future?


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