6 new CTO roles in the AI era
The CTO role is evolving. Here's what you need to master so you don't get left behind.
Just 3 years ago, the CTO mostly dealt with infrastructure, the dev team, and vendors. Today? The CEO asks about AI strategy, the CFO about ROI from models, HR about the impact on headcount. According to McKinsey, companies that win with AI have technical leaders who rebuild processes from the ground up. They do it 3x more often than the rest. The CTO role has changed.
1. AI Translator
The business speaks one language, technology another. The CTO has to translate both ways. "We want better customer service" → "We need RAG with a product knowledge base." And vice versa.
This is not optional. If you don't translate, the vendor will, and they have their own interests.
2. AI Portfolio Manager
Not one AI project. A portfolio of projects with different horizons and risks. The CTO has to manage it like an investment fund:
AI PORTFOLIO
- Quick wins (60%): Low risk, fast value, build momentum
- Strategic bets (30%): Medium risk, bigger impact, 6-12 months
- Moonshots (10%): High risk, potentially transformative
3. AI Risk Officer
Who in the company understands the risks tied to AI? Hallucinations, bias, privacy, security, compliance? In most companies, nobody. By default it lands on the CTO.
You don't have to be an expert in everything. But you do have to know which questions to ask and who to hire.
4. AI Capability Builder
Your team has no AI competencies? That's your problem. You have three options:
- • Build: Train your existing team, hire specialists
- • Buy: Outsource to firms specializing in AI
- • Partner: Work with vendors who have the competencies
Most companies need a mix of all three.
"Your strength as a CTO is building a team that knows AI better than you do."
This is what I do hands-on — advising on AI strategy and building agents that survive the demo.
5. AI Ethics Guardian
Who decides whether to use AI to evaluate employees? Can AI reject candidates? Who is accountable when the model discriminates?
These questions land on the CTO's desk. And you can't answer "that's not my department."
6. AI Change Agent
Technology is 30% of success with AI. The rest is organizational change. People fear for their jobs, processes have to change, the culture has to evolve.
A CTO who rolls out AI without managing change is rolling out a failure.
What to stop doing
To take on new roles, you have to delegate something:
DELEGATE OR AUTOMATE
- ✗ Micromanaging daily sprints
- ✗ Being the only person who can approve a PR
- ✗ Negotiating with every vendor personally
- ✗ Writing code (yes, I know you love it)
How to prepare
- 1. Spend time with AI. Not theoretically, practically. Build something.
- 2. Talk to the CEO in the language of business, not technology
- 3. Build a network: other CTOs, AI experts, advisors
- 4. Read the regulations: EU AI Act, GDPR, industry-specific
- 5. Practice making decisions under uncertainty
What to do this week
Pick the one of these six roles where your gap is biggest. This week, do one concrete thing in it: build a small prototype, call another CTO, or read a section of the EU AI Act. The 2020 CTO role is not coming back, and nobody hands you a manual for the new one.
