🚨 While everyone watched the warehouse robots, Amazon declared war on middle management. The company is cutting 30,000 corporate roles after its AI automated the work of 4,500 developers. This signals a new playbook where companies trade human coordinators for AI-driven infrastructure. But some are saying that the cut is due to Amazon not having enough GPU’s (for their AI and AWS) and needs to cut costs to afford more.

Companies are creating a role that didn't exist 18 months ago: Marketing Developer. And they're paying $120k-$180k for it.

This isn't a developer who understands marketing, or a marketer who dabbles in code. It's a hybrid position that builds micro-tools, automations, and AI-powered assets that directly create customer value.

The role emerged from a realization: the best use of "vibe coding" (building with AI assistance) isn't internal efficiency — it's customer-facing tools that generate leads, engagement, and loyalty.

Marketing Developers build calculators, configurators, interactive demos, and assessment tools that live on marketing sites. Think: ROI calculators, product finders, or AI-powered recommendation engines.

They prototype landing pages with dynamic, personalized content based on user behavior.

They create internal tools for the marketing team: custom analytics dashboards, content generators, or A/B testing frameworks.

All of this is built with AI code assistants like Cursor, Claude, or GitHub Copilot — which means traditional CS degrees aren't required.

Marketing has become increasingly technical, but agencies and contractors are too slow and expensive for experimentation. Marketing Developers sit embedded in the team, shipping daily instead of quarterly.

AI code assistants compressed the skill gap. A marketer with basic HTML/CSS knowledge can now build production-grade tools in days. The AI handles the complex logic and best practices.

The ROI is immediate. One SaaS company built an interactive product selector that increased demo requests by 34%. Cost? One week of a Marketing Developer's time. Agency quote for the same tool? $40k and 8 weeks.

… is still forming. Most hires come from one of three backgrounds:

1. Marketers who learned to code via AI tools

2. Junior developers who care more about outcomes than architecture

3. Product managers who got tired of waiting for engineering resources

They're not expected to build scalable backend systems. They build fast, iterate, and create customer value.

Companies hiring for this role include Notion, Webflow, and a growing list of mid-market B2B SaaS companies.

What's next: Marketing Developer bootcamps are launching. In fact we are launching one our selves. Details below.

BTW: The term "vibe coding" comes from the idea that you're coding based on vibes and intuition, with AI handling the technical rigor. It's polarizing among traditional developers but beloved by marketing teams.

There is no better time to learn how to use AI to build solutions businesses want. I’m hosting a workshop that will show you, step-by-step, how to build tools and solutions using AI without having to know how to code.

If you’re interested, reply back to this email with the keyword BUILD and we’ll send you more info.

The Recap: OpenAI just launched Aardvark, a new agent powered by GPT-5 that acts like an autonomous security researcher for your codebase. It's designed to continuously find, explain, and help patch software vulnerabilities before they can be exploited.

Unpacked:

Bottom line: Tools like Aardvark could give cybersecurity defenders a major advantage by automating the slow and manual process of bug hunting. This marks a significant step for AI agents, moving them into specialized, high-stakes roles that directly protect critical software infrastructure.

Google resurrects shuttered Iowa nuclear plant to power data centers—big tech's AI appetite is literally restarting dead infrastructure.

Box CEO envisions enterprise SaaS as infrastructure layer with AI agents riding on top—the stack is inverting.

YouTube launches voluntary exit program for US staff—rare moment of platform contraction amid industry uncertainty.

Zuckerberg promises to flood Facebook and Instagram with AI-generated content as 'another huge corpus' for recommendations—slop becomes strategy.

Solana co-founder admits he's comfortable letting AI agents take the wheel on software development—founder as prompt engineer.

Kevin Rose relaunches Digg as trusted community platform for the bot-filled AI era—social networks as authentication layers.

P.S. Reply back to this email and let us know what area of AI you are struggling with the most. We are going to be hosting some free trainings and want your input.

Best of AI™ Team

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