Skip to main content
industry_updateFebruary 12, 20267 min read

Tech Layoffs Surge in Early 2026: Cisco, Telstra Lead Wave of AI-Driven Restructuring

A

AI Crisis Editorial

AI Crisis Editorial

<p>The tech industry is entering what some are calling a "second wave" of AI-driven layoffs, and this time it's not just about economic uncertainty. Companies are restructuring entire departments around AI capabilities, and the numbers are stark.</p>

<p>Cisco announced plans to cut 7% of its workforce (roughly 5,600 employees) in February 2026, with CEO Chuck Robbins explicitly citing AI automation as a primary driver. "We're redesigning workflows across customer support, network management, and software development," Robbins said in an internal memo. Translation: AI is doing work that used to require hundreds of people.</p>

<p>Telstra followed days later with 2,800 job cuts in Australia. The company isn't hiding what's happening. They're replacing entire customer service teams with AI agents and using automated systems for network optimization tasks that previously needed human engineers.</p>

<h2>The Numbers Don't Lie</h2>

<p>Here's what we're seeing across the tech sector so far this year:</p>

<ul> <li>Over 47,000 tech workers laid off in January-February 2026 alone</li> <li>68% of tech companies surveyed by Gartner report "active AI-driven workforce restructuring"</li> <li>Customer support and IT operations roles down 34% year-over-year at companies implementing AI agents</li> <li>Software testing positions declining 41% as autonomous testing tools mature</li> <li>Middle management roles in tech down 23% (AI is handling more coordination tasks)</li> </ul>

<p>But here's what's really telling: companies are hiring at the same time they're cutting. Cisco's job board shows 892 open positions. Most require AI skills.</p>

<h2>Who's Leading the Charge</h2>

<p>Beyond Cisco and Telstra, these companies are deep into AI-driven restructuring:</p>

<p><strong>SAP</strong> is eliminating roughly 8,000 positions while simultaneously creating 4,000 new "AI-focused" roles. They're betting big on AI-powered enterprise software and need people who can build it, not just maintain legacy systems.</p>

<p><strong>Accenture</strong> cut 19,000 jobs last quarter but hired 5,000 workers with AI implementation experience. The consulting giant is essentially rebuilding itself around AI transformation services.</p>

<p><strong>IBM</strong> paused hiring for 7,800 back-office positions, with CEO Arvind Krishna stating these roles "will likely be replaced by AI within 24 months." HR, procurement, and administrative functions are the primary targets.</p>

<p><strong>Salesforce</strong> reduced its workforce by 10% in early 2026, specifically targeting sales operations and basic customer success roles. Their new AI agent platform (Agentforce) handles tasks that used to require small teams.</p>

<h2>Which Jobs Are Actually Getting Cut</h2>

<p>Let's be specific about what's happening. These aren't abstract categories anymore:</p>

<p><strong>Customer Support (Tier 1 and 2)</strong><br>AI agents like those from Sierra, Intercom, and Salesforce are handling 70-80% of customer inquiries without human intervention. Companies are keeping small teams for complex issues and training AI systems. That's it.</p>

<p><strong>Data Entry and Processing</strong><br>This one's basically over. AI tools can extract, categorize, and input data faster and more accurately than humans. If your job is primarily moving information between systems, you're in the danger zone.</p>

<p><strong>Basic Software Testing</strong><br>Autonomous testing platforms are catching bugs, running regression tests, and even writing test cases. Manual testing for routine scenarios is disappearing fast.</p>

<p><strong>Junior Developer Roles</strong><br>This is controversial, but it's happening. Companies are hiring fewer junior devs because AI coding assistants have compressed the learning curve. Senior developers are more productive with AI, so teams can be smaller.</p>

<p><strong>Network Administration (Routine Tasks)</strong><br>Telstra's cuts focus here. AI systems monitor networks, predict failures, and even implement fixes autonomously. Human network engineers are becoming exception handlers.</p>

<p><strong>Middle Management (Coordination Focus)</strong><br>If your management role is mostly about coordinating information flow and basic decision-making, AI project management tools are eating your lunch. We're seeing 15-20% reductions in middle management layers.</p>

<h2>But Wait, There's a Twist</h2>

<p>Companies are desperate for people with specific skills. I've been tracking job postings from these same companies announcing layoffs, and here's what's opening up:</p>

<p><strong>AI Implementation Specialists</strong><br>Someone needs to deploy these AI systems and customize them for specific business needs. Cisco alone has 200+ open positions for this. Average salary: $145K-$180K.</p>

<p><strong>Prompt Engineers and AI Trainers</strong><br>Companies need people who can train AI systems on company-specific knowledge and improve prompts for business use cases. This role didn't exist three years ago.</p>

<p><strong>AI Ethics and Compliance Officers</strong><br>As companies automate more decisions, they need people ensuring AI systems don't create legal or ethical problems. This is becoming a mandatory role.</p>

<p><strong>Human-AI Workflow Designers</strong><br>Figuring out which tasks humans should do versus AI isn't obvious. Companies are hiring people who understand both technology and business processes to redesign workflows.</p>

<p><strong>AI System Monitors</strong><br>AI makes mistakes. Sometimes expensive ones. Companies need people watching AI systems, catching errors, and knowing when to intervene. Think air traffic controller but for AI.</p>

<h2>What Nobody's Talking About</h2>

<p>Here's the uncomfortable truth: this restructuring is only beginning.</p>

<p>The companies making cuts now are the early adopters. They're figuring out what works. Once they prove AI can replace entire departments while maintaining (or improving) quality, every other company will follow. Fast.</p>

<p>We're seeing a 6-12 month lag between when leading companies implement AI and when mid-market companies follow. That means if Cisco is cutting network administration roles now, hundreds of smaller tech companies will do the same by Q4 2026.</p>

<p>And it's spreading beyond tech. Insurance companies, banks, healthcare providers, they're all watching what Cisco and Telstra are doing.</p>

<h2>What You Need to Do Right Now</h2>

<p>If you're reading this and feeling worried, good. That means you're paying attention. Here's your action plan:</p>

<p><strong>Take our AI Vulnerability Assessment immediately.</strong> You need to know if your role is in the danger zone. We've analyzed thousands of job functions and can tell you specifically how at-risk you are. Takes 10 minutes, could save your career. <a href="https://aicrisis.org/assessment">Do it today.</a></p>

<p><strong>Start building AI skills this week.</strong> Not someday. This week. Pick one AI tool relevant to your field and become an expert. Customer support? Learn Intercom's AI features. Developer? Master GitHub Copilot. Marketer? Get good with ChatGPT and Claude. Documentation matters less than demonstrated ability.</p>

<p><strong>Reposition yourself as an AI implementer.</strong> Even if you're in a vulnerable role, you can become the person who helps your company adopt AI effectively. Volunteer for AI pilot projects. Learn how to train AI on your company's specific processes. Make yourself essential to the transition.</p>

<p><strong>Build a backup plan.</strong> Seriously. Even if you think your job is safe, have a plan B. That might mean freelancing skills, a side business, or an emergency fund that covers 6-9 months of expenses. The pace of change is accelerating.</p>

<p><strong>Network with people making the transition.</strong> Join communities where people are successfully moving from at-risk roles to AI-adjacent positions. Learn what worked for them. Our newsletter shares these stories weekly.</p>

<p><strong>Don't wait for your company to retrain you.</strong> Some companies offer reskilling programs. Most don't, or they're too slow. Take control of your own learning. Online courses from Coursera, Udacity, and LinkedIn Learning cost less than one week's salary.</p>

<h2>The Bigger Picture</h2>

<p>This isn't just another economic cycle. We're watching a fundamental restructuring of how companies operate. The jobs disappearing aren't coming back. But new jobs are emerging, and they pay well if you have the right skills.</p>

<p>The gap between those who adapt and those who don't is going to be enormous. We're talking about 40-50% salary differences within the same general field, just based on AI fluency.</p>

<p>Companies like Cisco and Telstra are showing us the future. The question is whether you're going to prepare for it or hope it doesn't reach your industry. Spoiler: it's already there.</p>

<p>Every week we're seeing new announcements. More layoffs. More AI implementations. The pace isn't slowing down. If anything, it's accelerating.</p>

<p>You've got a choice. You can spend the next few months hoping your job survives, or you can spend them building the skills that make you valuable in an AI-driven workplace.</p>

<p>What's it going to be?</p>

Stay Ahead of AI Job Trends

Get weekly insights on AI's impact on jobs, career advice, and upskilling resources.

Subscribe to Newsletter