IT support and L1/L2 roles are shrinking — where to go next
AI assistants now handle a growing share of first-line support, and L1/L2 roles are thinning fast. But the hard, human, judgment-heavy parts of support aren't going anywhere. Here's where a support career moves next.
Key takeaways
- AI is absorbing the scripted, first-line part of support fastest
- The complex, ambiguous, high-stakes cases still need human judgment
- The move is toward complexity, ownership, and adjacent roles that use your systems knowledge
- Your customer-facing and troubleshooting skills transfer further than you think
Of all IT roles, first-line support (L1/L2) is feeling the AI wave earliest — retrieval assistants and AI agents now resolve password resets, known issues, and documented fixes without a human. If your role is largely scripted first-response, the pressure is real and worth facing squarely. But "support" is much bigger than its scripted layer, and the parts under pressure are exactly the parts that were least satisfying anyway. Here's where the career goes.
What's shrinking, and what isn't
The scripted layer — the repeatable, documented, "follow the runbook" tickets — is what AI handles well and what's thinning fastest. That's genuine.
What isn't shrinking is the hard part: the novel bug the knowledge base has never seen, the issue that's really three tangled issues, the angry enterprise customer who needs judgment and de-escalation, the situation where the "right" answer requires understanding the whole system and the business. AI is weak exactly where support gets difficult — and difficult is where the value is.
Where to go next
Your support experience gave you two very transferable things: deep troubleshooting/systems knowledge and real customer-facing judgment. Several moves build on those:
Complex / escalation support. Move up the difficulty curve — the L3, the specialist, the person who owns the cases AI and L1 can't. As the easy tickets automate away, the hard-case owner becomes more valuable, not less.
Reliability / SRE-adjacent roles. Your systems troubleshooting is exactly the foundation for reliability work — keeping systems healthy, diagnosing failures, owning uptime. It's a natural, well-paid climb from deep support.
Product support / customer success. Your combination of technical understanding and customer skill is valuable in roles that sit between the product and its users — technical account management, customer success, product support — where human judgment and relationships are the whole point.
Domain depth. Supporting a complex product for years made you a genuine expert in it. That domain knowledge can move you toward implementation, consulting, or product roles for that same system.
From ticket-closer to problem-owner
The framing shift is from closing tickets — executing responses — to owning problems — bringing judgment to the hard cases and the systems behind them. AI shrinks the first and can't touch the second. Your instinct for how systems break and how to handle people under pressure is scarce and portable; it just needs pointing at higher-value work.
Which move fits your strengths and situation — complex support, reliability, customer-facing, or domain depth — is exactly what a 1-1 counselling session helps you work out. The scripted layer is thinning. The judgment layer, where you're actually valuable, isn't.
FAQ
Are IT support and L1/L2 roles disappearing because of AI?
The scripted, first-line layer — password resets, known issues, documented fixes — is thinning fastest as AI assistants handle it. But the hard part of support isn't disappearing: novel bugs, tangled issues, angry enterprise customers, and cases needing judgment about the whole system. AI is weakest exactly where support gets difficult, and difficult is where the value is.
Where can I go next from an IT support role?
Toward complexity and adjacent roles that use your systems knowledge and customer judgment: complex/escalation (L3) support, reliability/SRE-adjacent work (your troubleshooting is the foundation), product support or customer success (technical plus people skills), or domain depth leading to implementation or consulting for a product you know deeply.
What support skills still matter as AI takes first-line tickets?
Deep troubleshooting and systems knowledge, and real customer-facing judgment — reading people, de-escalating, and handling ambiguity under pressure. These are exactly what the hard, non-scripted cases need and what AI can't do. They're also highly transferable to reliability, customer success, and domain-expert roles, so they carry you well beyond first-line support.
How do I move up from first-line support?
Shift from closing tickets to owning problems: take on the hard cases AI and L1 can't, deepen your systems and product knowledge, and aim at a higher-value adjacent role — escalation support, reliability, customer success, or a domain-expert path. Your troubleshooting and people skills transfer further than you think; a 1-1 counselling session can help you pick the direction.