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Metavesco Reassesses Epic Labor Growth Strategy Amid AI Integration Insights

By Editorial Staff

TL;DR

Metavesco's Epic Labor subsidiary achieved 37.2% revenue growth in Q1 2026, demonstrating strong performance while management strategically reviews AI-driven models for accelerated expansion.

Metavesco is reassessing its 2025 branch expansion roadmap for Epic Labor after an AI staffing pilot revealed which operational components could be automated for efficiency.

By exploring AI-powered staffing models, Metavesco aims to create more accessible and responsive labor solutions that could improve job matching and business operations.

Metavesco's AI staffing pilot used machine learning to source and manage labor in real-time, offering a glimpse into future automated workforce solutions.

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Metavesco Reassesses Epic Labor Growth Strategy Amid AI Integration Insights

Metavesco, Inc. announced that its wholly owned staffing subsidiary, Epic Labor, Inc., generated $419,111 in revenue during the first quarter of 2026. This represents a 37.2% increase compared to the $305,488 reported in the same period of 2025. The company's staffing business delivers on-demand labor to small and mid-sized businesses across construction, warehousing, hospitality, manufacturing, and event staffing sectors.

Despite this strong performance, Metavesco is reassessing the growth strategy outlined in its April 2025 Epic Labor Expansion Roadmap, which targeted 98 branches and $125-$135 million in run-rate revenue by 2029. This capital-intensive, footprint-driven model was built around de novo branch launches and bolt-on acquisitions. The company is now questioning whether this traditional expansion approach remains the highest-value use of resources given the rapidly changing operating environment.

The strategic reassessment is informed by several AI-focused initiatives within the company. In June 2025, Metavesco launched an AI-powered virtual staffing pilot in Gainesville, Georgia, aimed at leveraging machine-learning algorithms and generative AI to source, screen, dispatch, and manage qualified labor in real time without traditional physical office overhead. While the pilot did not advance to full deployment due to projected start-up costs, it provided meaningful insights into which components of the staffing model are viable candidates for AI-driven execution.

These learnings have been combined with the company's more recent experience building Vesco Ventures, its Zero Human Company initiative, and I.R.A., its AI-powered Investor Relations Agent and the flagship product of Metavesco's OTCfi ecosystem. According to CEO Ryan Schadel, these experiences have "meaningfully sharpened management's view of where AI can create durable operational leverage within Epic Labor's business model."

"Epic Labor's fundamentals are strong, and this quarter proves the model works," Schadel stated. "But I'd be doing our co-owners a disservice if I ignored what's happening around us. AI is fundamentally changing what's possible in staffing and across every industry. The Gainesville pilot didn't scale the way we planned due to the up-front capital requirements, but it taught us something important: certain parts of this business can absolutely be run by AI."

The company is now conducting a full strategic review of its entire portfolio with an AI-native lens. This review will identify where to double down on investments, where to find partners or buyers, and where to make difficult decisions about divestment. Schadel emphasized that the company is "not interested in managing a portfolio of businesses that don't fit where this company is going" and that there is "too much opportunity for us to spend resources on ideas that can't 100x."

Metavesco expects to provide additional detail on the strategic review and any resulting actions as they develop. The company's broader portfolio includes digital assets, DeFi, crypto mining including Bitcoin, and staffing services, with information available at https://metavesco.com. The company's financial filings can be accessed through https://otcmarkets.com.

Curated from NewMediaWire

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Editorial Staff

Editorial Staff

@editorial-staff

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