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What Comes Next (2026-2028)

5 min read

Tech Lead

Your job in 2027: fewer people, more AI. Your job is to make that equation work — not resist it.

Cto

Board will ask 'what's our AI strategy?' every quarter. Have a 2-year view, not a 6-month pilot.

Eng Manager

Headcount math is changing. '10 engineers with AI' will beat '15 without' on output. Your job: keep quality and culture.

What Comes Next (2026-2028)

TL;DR

  • AI agents will get better at multi-step tasks. You'll delegate more, code less by hand.
  • Coding won't disappear — but "typing code" will shrink. Design, review, and integration will matter more.
  • New roles will emerge: AI ops, prompt engineers (evolving), human-in-the-loop specialists. Old roles will morph.

This isn't a crystal ball. It's a trajectory based on what's already happening. No doom. No "embrace the revolution." Just a map.

2026: The Agent Year

What's Already Real

  • Cursor, Claude Code, Copilot, and Devin-style tools are mainstream.
  • Companies are standardizing on one or two AI coding assistants.
  • "AI-assisted development" is in job descriptions. "No AI" is becoming a red flag.

What Accelerates

  • Multi-step agents: AI that can "fix this bug, add a test, and update the doc" in one flow. Less hand-holding.
  • Better context: Agents that understand your codebase, not just the file you're editing.
  • Integration everywhere: AI in PR reviews, incident response, and architecture docs. It's in the pipeline, not just the IDE.

2027: The Consolidation Year

What Happens

  • Fewer people, more output: Teams of 8 do what teams of 12 did. Not everywhere — but at product companies, consulting firms, and startups, the math is clear.
  • Junior roles keep shrinking: Entry-level "write this CRUD endpoint" work is scarce. Bootcamps and CS grads adapt or pivot.
  • Senior roles get weirder: "Staff engineer" might mean "human who designs systems and directs AI." Less hands-on coding, more orchestration.

New Roles Start to Show Up

  • AI ops / AI reliability: Someone has to keep the AI tools running, secure, and cost-effective.
  • Prompt engineering (evolving): Not "write prompts all day" — but "design workflows so AI does the right thing." More like systems design than creative writing.
  • Human-in-the-loop specialists: For regulated domains (healthcare, finance), someone owns the "AI suggested X, human approved Y" flow.

2028: The New Normal

What Stabilizes

  • AI is boring: It's like Git or cloud — you use it, you don't think about it.
  • Roles have morphed: QA is "test strategy + AI-generated execution." Docs is "accuracy and UX + AI-generated drafts." Dev is "architecture + review + integration + AI-generated implementation."
  • The "AI-proof" skills are clear: Domain expertise, stakeholder management, creative problem-framing, and judgment. We spend the rest of this course on those.

What We Don't Know

  • Will there be a "killer agent" that replaces 80% of coding? Maybe. Probably not by 2028. And even then, someone has to direct it.
  • Will regulation slow things down? Possibly. Compliance and audit trails favor humans. That could be a moat for some roles.

Quick Check

What defines 2026 as 'The Agent Year'?

Quick Check

Which new role starts to show up by 2027?

Do This Next

  1. Pick one area to lean into: AI-assisted coding, AI ops, or "human judgment" roles. You don't have to choose today — but start experimenting.
  2. Read Part 2. The playbook for 2026-2028 is there. This was the wake-up call. Next is the plan.