Tech Layoffs: How to Pivot to Entrepreneurship and AI Consulting

Nuance Across the Tech Layoffs

While some vulnerable positions have certainly been eliminated due to AI, it would be a mistake to attribute the entirety of the recent mass layoffs to the technology’s adoption. To better understand the dynamics at play, the state of California has launched an AI-Unemployment tracker designed to monitor how many jobs are being displaced by artificial intelligence. According to Ben Hyman, Senior Researcher at California’s policy lab, the data does not currently support a narrative of widespread AI-driven job losses. “Right now, we are not seeing evidence of large-scale AI-related layoffs in California’s labor market, but we do see patterns in certain regions like the Bay Area, in certain tech-heavy sectors and highly AI-exposed college-educated workers.”

This indicates that while there are indeed attributable job losses, it would be a sweeping generalization to claim that most tech layoffs are a direct result of AI adoption. Nevertheless, the reality remains that tens of thousands of tech layoffs are occurring across the United States, leaving a vast pool of talented employees scrambling to determine their next professional steps. For the past several years, highly educated and skilled white-collar tech workers have faced confounding complications when trying to reestablish their careers, a significant departure from historical norms.

Something Unusual is Happening To Out of Work Tech Workers

Historically, this cohort of professionals has been able to find new work with relative ease. However, an Aug. 3 San Francisco Fed Economics letter revealed that prospects for prime-aged workers to secure employment have dramatically decreased in recent years. Most notably, college-educated workers experienced a staggering 30% decline in job-finding rates from January 2023 to January 2026. The study further suggested that structural forces could explain why prime-age working adults are currently struggling to find jobs.

When examining these structural changes, it is crucial to look at how shifting operating models are affecting traditionally qualified tech workers. A survey by Deloitte found that only 1% of IT leaders reported that no major operating model changes were underway within their organizations. Furthermore, a 2026 trend report by Deloitte Insights indicates that 78% of tech leaders anticipate a broad, targeted, or transformational integration of AI agents into their architecture workflows over the next five years.

These figures suggest that most tech organizations are actively planning to build leaner teams, relying on AI for agentic support to handle increasing workloads. This strategic pivot could leave experienced tech workers, who possess deep institutional knowledge and specialized skills, needing to look outside the traditional tech sector to find roles that value their expertise. The question for these displaced professionals is no longer just about where to get hired, but who will pay a premium for the unique knowledge and experience they possess.

Tech Skills Transferable To Entrepreneurship

Building a successful company is a demanding endeavor, even for seasoned business professionals. However, many of the competencies that define a thriving career in technology are directly applicable to founding and growing a business. While hard skills such as coding or expertise in large language models (LLMs) are certainly advantageous, tech professionals also cultivate a set of broader, deeply ingrained abilities that are essential for entrepreneurial success.

Consider the work of a data scientist, for instance. Their daily routine involves analyzing complex datasets, interpreting results, visualizing findings, and clearly presenting trends. This entire process mirrors the effort required to track Key Performance Indicators (KPIs) and Objectives and Key Results (OKRs) in a small business. Many aspiring small business owners lack the very skills that tech employees exercise on a regular basis, such as the discipline to measure performance and derive actionable insights from raw information.

Through years of coaching and consulting, a common thread emerges among the most successful clients: they possess three key skills that are also second nature to many in the tech sector. These are the ability to diagnose a problem, the capability to execute a fix, and the foresight to create monitoring frameworks that ensure the solution remains effective over time. At its core, entrepreneurship is about being a problem solver. Marketing a product or service is fundamentally about demonstrating to a customer why your business is the best solution to their specific challenge compared to the alternatives currently on the market.

Opportunity Prime For The Taking

A significant gap exists in the market that tech professionals are uniquely positioned to fill. According to the U.S. Census Bureau, only roughly 20% to 25% of firms with 1-99 employees currently use AI. This means thousands of business owners lack the expertise needed to leverage AI for daily operations, process improvement, or increasing their output. This represents a massive opportunity for tech workers to apply their specialized skills to smaller firms.

Typically, large enterprise companies can assemble big teams to tackle problems that smaller firms simply lack the resources to staff. Small businesses are in greater need than ever of affordable technical support, and finding that help is becoming harder, even with AI tools now widely accessible to organizations of all sizes. Tech professionals who can bridge this gap for smaller companies will find a receptive and underserved market.

Don’t Let Your Skills Sit On The Shelf

Labor economists are increasingly examining the possibility that AI could exert near-term pressure on white-collar employment. This is a trend that all tech employees—and employees in general—should monitor closely. In a recent Indeed survey, a small majority of experts (52%) stated they expect AI to be a net negative for the labor market in the near term, acting as at least a mild drag on employment over the next year.

Right now, AI implementation in many firms is a bit like the Wild West, with little established precedent. However, this doesn't mean tech leaders lack an organizational plan to keep their firms as lean and efficient as possible. History suggests that whenever a new technology displaces workers, it simultaneously creates opportunities for more businesses to grow. While you shouldn’t stop applying for jobs if your preference is to work for an enterprise firm, it would be a mistake to rule out creating your own business. Doing so allows you to leverage the marketplace skills you have honed, which are precisely the skills that a vast number of small businesses desperately need right now.