How to Prepare for a Tech Layoff
This episode discusses how to prepare for tech layoffs by identifying warning signs, building an emergency fund, maintaining updated resumes and portfolios, and cultivating professional networks. The hosts emphasize that layoffs are increasingly common across the tech industry regardless of company profitability, and that proactive preparation is essential even when employment seems secure.
Summary
The episode opens with context about the prevalence of tech layoffs since 2022-2023, affecting both large tech companies (Google, Meta, Microsoft, Oracle) and startups. The hosts acknowledge their experience is primarily startup-focused rather than with large tech firms, providing this as a disclaimer for their perspective.
They introduce a new segment called 'the weekly takeaway' to replace previous recurring segments. Mike discusses his experimentation with agentic AI systems where multiple LLMs (Astra, Luna, Solar) orchestrate planning and implementation work. He found that while allowing agents to autonomously execute work increased output, he lost track of changes and the system sometimes went off-course, leading him to revert to a more controlled approach where he remains 'the man in the middle.' Matt shares his takeaway about launching a new website for their small business digital agency (digitaldynasty.ca) after 10+ years with a bare-bones site. They discovered they specialize in helping small businesses get online through services like Google My Business optimization, website creation, and DNS/email management.
The main content identifies three categories of preparation. First, they detail signs a layoff may be coming: hiring freezes, lack of backfills when employees leave, budget restrictions, travel cancellations, software cap restrictions, perks being cut, management changes in narrative, and avoidance behaviors in leadership. They note that voluntary retirement packages offered to senior employees are classic precursors. However, they emphasize that sometimes layoffs come with no warning, especially in large companies where random lottery-based cuts occur independent of performance.
Second, they discuss preparation while still employed. This includes staying informed about industry conditions (understanding that 2026 may require six-month emergency funds versus three months in 2022), continually updating resumes with accomplishments and evidence of work, maintaining LinkedIn/GitHub/portfolio presence, and crucially, building a professional network through meetups, communities, and ongoing relationship maintenance. The hosts stress that network building must be genuine and reciprocal, offering help to others rather than transactional.
Third, when layoffs become imminent, they recommend intensifying these efforts: aggressively saving emergency funds, legally documenting all work evidence, applying for roles (without necessarily accepting), discreetly probing the network, and understanding legal protections and severance details specific to one's jurisdiction. They caution against panic quitting, noting that severance may be available and that remaining positive could potentially keep someone off layoff lists.
Throughout, the hosts acknowledge that company profitability doesn't prevent layoffs—profitable companies cut staff for margin optimization. They emphasize that employees are ultimately 'productivity units' in capitalist systems and must protect themselves accordingly without becoming cynical about their daily work. They encourage people to explore alternative skills and career paths beyond development, given the industry's current trajectory with AI integration and changing requirements.
About this episode
Tech layoffs can happen with little warning, so being prepared can make all the difference. In this episode, Matt and Mike discuss the warning signs of an incoming layoff and how to prepare your finances, resume, network, and career before it happens.
Key Insights
- The hosts observed that even companies posting record profits continue to execute large-scale layoffs (thousands of employees) multiple times per year, suggesting profit optimization rather than financial necessity drives layoff decisions.
- Mike discovered through experimentation that fully autonomous multi-agent AI systems (where one LLM orchestrates multiple lower-cost LLMs to plan, execute, and self-review work) produced more output but sacrificed visibility and sometimes diverged from intended paths, leading him to adopt hybrid approaches.
- The hosts argue that job security in big tech companies has largely evaporated, with major firms like Google, Meta, and Microsoft no longer offering the stable employment they historically provided.
- Matt's experience running a small business agency revealed they are specialists in helping small business owners with online presence (websites, Google My Business, DNS management) rather than serving larger enterprises effectively.
- The hosts contend that employees must view themselves realistically as 'productivity units' in capitalist systems rather than believing company loyalty narratives, while still maintaining professional engagement at work.
- Hiring freezes and cessation of backfill hiring (not replacing departed employees) are identified as among the earliest and most reliable warning signs that layoffs may be imminent.
- The hosts assert that sometimes layoffs in large tech companies are entirely random lottery-based cuts regardless of individual performance, contradicting the notion that good work provides protection.
- Matt argued that maintaining a portfolio of diverse skills and alternative career paths is increasingly important given the tech industry's ongoing transformation, and forked resumes showing multiple career types can appeal to hiring managers.
- The hosts found that building genuine professional networks through continuous reciprocal help, rather than transactional relationships, is more valuable for long-term employment security and transitions.
- Mike noted that planning and implementing with high-end LLMs costs significantly more than planning with high-end models but implementing with cheaper models, forcing trade-offs in development approaches.
- The hosts observed that CEO adoption of AI-centric narratives appears consistently correlated with subsequent layoff announcements, though they acknowledge this is based on anecdotal evidence rather than empirical data.
- The recommended emergency fund size should vary by economic conditions—what was three months in 2022 may need to be six months or more in 2026 based on job market difficulty for the individual's skill level.
Topics
Transcript
Tech layoffs are here. They've been here for a while, and there may be more coming, probably more coming. Who knows? With the economy, with the changes in the workplace, with AI, and even still some overhiring sort of recorrections from the COVID era, we are seeing tech layoffs. I mean, we just saw Oracle's recent tech layoffs. We've seen many other tech layoffs. I mean, we just saw Oracle's recent tech layoffs. We've seen many other tech layoffs. Microsoft's had some in the past, et cetera, et cetera, et cetera. And this isn't going to be like a news episode where we zoom in on the Oracle ones, but this is inspired by the Oracle layoffs. I just saw…
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