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Small Businesses Leverage AI to Replace Workers

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The Quiet AI Revolution in Small Business

In recent months, headlines have dominated discussions about artificial intelligence (AI) and its impact on the workforce. Amidst warnings of mass layoffs and “stop hiring humans,” a quieter revolution is underway – one that may ultimately prove more profound.

Spencer Handley’s online guitar school, Sonora, was transformed when he discovered Claude Opus 4.5, an AI model capable of replicating enterprise software with ease. This breakthrough allowed him to automate tasks such as writing marketing copy and onboarding new students. The results were astonishing: Handley’s company reduced its workforce from 48 to 30 employees without sacrificing revenue.

His employees were retrained to oversee AI agents, freeing up resources for more complex tasks. “We actually get slightly better results,” Handley says, “and we don’t have to worry about managing people.”

Handley is not alone in this experience. According to Harvard economist David Deming’s 2025 study, small firms are adopting AI at a pace that may outstrip their larger counterparts. This trend has significant implications for the roughly 46% of Americans employed by small companies.

Economists are split over whether AI will create more efficient workplaces or displace jobs en masse. Assistant Professor Bouke Klein Teeselink notes that adoption can take many forms – from using Microsoft Copilot to simply automating routine tasks.

Companies like Hospitable, a short-term rental management platform, are embracing AI with gusto. Since December, the company has increased its spending on AI by 50%, generating 90% of its code and answering 70% of customer queries. CEO Pierre-Camille Hamana credits AI for reducing the need to hire more staff – but not eliminating jobs outright.

This phenomenon highlights a crucial aspect of AI’s impact: it can create new efficiencies that drive increased demand. As Klein Teeselink notes, anything currently unaffordable may become a product with high elasticity of demand – potentially leading to job creation in areas previously inaccessible.

While large tech companies continue to dominate headlines, the real story is playing out in small businesses like Sonora and Hospitable. By embracing AI, these firms are not only surviving but thriving – creating new opportunities for workers and driving innovation forward.

Companies like these are demonstrating that with the right approach, AI can be a catalyst for growth rather than a harbinger of doom. The quiet revolution underway in small business may just hold the keys to unlocking a more productive, efficient future – one that’s less about job displacement and more about redefining work itself.

Reader Views

  • RJ
    Reporter J. Avery · staff reporter

    While AI's potential to augment human productivity is clear, I worry that discussions about its adoption often gloss over the issue of worker redefinition. As small businesses automate routine tasks and free up resources for high-value work, we risk creating a new class of "AI managers" who oversee algorithms but don't necessarily possess traditional skills. This shift in job profiles raises questions about the value placed on human expertise – will AI agents eventually perform the most complex and creative tasks as well?

  • CS
    Correspondent S. Tan · field correspondent

    While the article highlights small businesses' increasing adoption of AI, I believe it glosses over a crucial aspect: what happens to these workers when they're "retrained"? The assumption that employees can seamlessly pivot to overseeing AI agents ignores the reality of upskilling and reskilling. Many companies will struggle to provide adequate support for retraining, leaving some employees vulnerable to obsolescence. Policymakers must consider this consequence as they watch small businesses leverage AI with gusto – after all, the quiet revolution won't stay silent forever.

  • CM
    Columnist M. Reid · opinion columnist

    The AI revolution in small business is more insidious than we're led to believe. While Handley's guitar school may have reduced its workforce without sacrificing revenue, it's also shifted the burden onto employees to oversee increasingly complex AI agents. This is a recipe for over-tasking and burnout, not necessarily a solution to job displacement. Economists are quick to tout efficiency gains, but what about the human cost of constantly adapting to new technologies? We need to consider not just the numbers, but the workers themselves in this revolution.

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