AI and your money: this is your heads-up.

I sent the below to my newsletter subscribers today 18th April 2026. If you stumble on this, I believe you will find it useful.

For context, my newsletter is focused on Finance for Immigrants

My current role is in Transformative AI. Meaning we are designing and developing solutions that will replace the processes humans are currently carrying out.

This week in particular, we have been in immersive sessions on various AI topics with key leaders, technical and non-technical.

Let me share some things they shared that I think will help improve your professional relevance in the next couple of years months.

  • AI pioneer Andrew Ng (Google him) made a point that should stop every professional in their tracks: he expects every single employee—whether they are in marketing, finance, or HR—to know how to use AI to write code and automate their workflows. He clarified to say that he didn’t expect them to actually write code like Developers. But you must be able to use AI coding tools.eg Claude Code
  • The head of my team made it clear to her direct reports if you aren’t actively using AI coding and productivity tools, you aren’t just behind—you are becoming unemployable.
  • The New Standard for Your CV; If you are an immigrant navigating the UK or global finance markets, “Microsoft Office” is no longer the gold standard. Your CV needs to scream AI-Native. Employers are no longer looking for people who can do the work; they want people who can orchestrate the tools that do the work.

What to add to your CV right now:

  • Prompt Engineering & Workflow Automation: Evidence of how you’ve used LLMs to cut a 5-hour task down to 15 minutes.
  • AI-Assisted Analysis: Mention specific tools (like ChatGPT, Claude Code, Gemini) that you use to increase productivity.

We are seeing the birth of entirely new career paths. If you are looking for your next move, look for these titles:

  1. AI Orchestrator: These aren’t just “managers.” They are professionals who know how to stitch different AI agents together to complete a complex business process from start to finish.
  2. Agentic Outcome Managers: People who don’t manage humans, but manage “Agentic Workflows.” You define the business goal, and you manage the AI agents tasked with hitting that outcome.
  3. AI Evaluation (Eval) Managers: This is a massive gap in the market. As businesses deploy more AI, they need people to “watch the watchers.” You will be responsible for testing, auditing, and ensuring the outputs of AI agents are accurate, ethical, and financially sound.
  4. Red Teaming Specialists — actively stress-testing AI systems to find risks, biases, and failure points. Google McKinsey AI hack and Code Wall for example.
  5. AI Guardrails SMEs — defining the boundaries, controls, and policies that keep AI systems safe and compliant.

These roles are not all for developers. A non-technical person can do them. Please spend time upskilling and gain experience volunteering for projects.

The Bottom Line: In 2026, you don’t need to be a Computer Science graduate to “code.” You need to be an AI-literate professional who isn’t afraid to use a prompt to build a solution. The barrier to entry has lowered, but the standard for productivity has skyrocketed.

Take action my fellow immigrant.