CEO Shares Profits to Drive AI Adoption, Boosts Pay 50%

MassPay, a Las Vegas-based payments company, has successfully overcome employee resistance to AI adoption through an innovative profit-sharing program that rewards workers for efficiency gains achieved through artificial intelligence. CEO Ran Grushkowsky, who co-founded the company in 2019 and assumed the CEO role in December, revealed that the initiative has transformed both productivity and employee attitudes toward AI technology.

The program, announced a year ago, addresses a common workplace challenge: employees feared AI would replace their jobs rather than enhance their capabilities. To realign incentives, MassPay created a profit-sharing structure with two primary goals—increasing revenue and cutting costs through more efficient operations powered by AI tools.

Under the program’s mechanics, the company first allocates funds necessary for operations and growth. Any profits exceeding this threshold flow into a profit-sharing pool distributed among eligible employees. Each worker’s share is calculated proportionally based on their salary relative to the total eligible payroll, then multiplied by the pool amount. For example, an employee earning $100,000 from a $2 million total payroll would receive 5% of the pool—if the pool contains $300,000, that employee receives $15,000.

The results have been remarkable. In the first year, participants received 18% of their annual salary from profit-sharing. This year, MassPay expects that figure to reach nearly 50%—a substantial increase that demonstrates the program’s effectiveness in driving AI adoption and operational efficiency.

The impact on productivity has been dramatic. Processing times for client applications have dropped from one week to 24 hours, thanks to AI tools that analyze documents including letters of incorporation, compliance manuals, and user agreements. The company also eliminated the need to hire five additional employees planned for 2025, as existing staff leveraged AI to expand their capabilities.

Crucially, Grushkowsky emphasizes that AI isn’t replacing existing employees—instead, it’s helping them “find their own superpowers” and accomplish more. The CEO reports that morale has actually increased under the program, as employees recognize they’re part of a winning team where AI tools enhance rather than threaten their positions.

Key Quotes

Until mid-2025, it was a challenge to get employees at MassPay to use AI. They were maybe afraid that it would replace their jobs.

CEO Ran Grushkowsky describes the initial resistance his company faced when introducing AI tools, highlighting the widespread fear among workers that automation threatens employment—a concern that prompted the creation of the profit-sharing program.

We were able to help our employees find their own superpowers so they could do more than they did before.

Grushkowsky explains the philosophy behind the program, emphasizing that AI serves as an enhancement tool rather than a replacement, enabling employees to expand their capabilities and accomplish tasks previously beyond their capacity.

AI isn’t replacing existing employees, and because of our incentive program, I think morale has increased. Initially, it was a concern, but everybody wants to be part of a winning team.

The CEO addresses the outcome of the profit-sharing initiative, noting that the program not only prevented job losses but actually improved workplace morale by creating a collaborative environment where AI adoption benefits everyone.

Last year, participants received 18% of their annual salary from the program. This year, we expect they’ll receive close to 50%.

Grushkowsky provides concrete financial data demonstrating the program’s success, showing that efficiency gains from AI adoption have nearly tripled the profit-sharing pool in just one year, translating to substantial bonuses for employees.

Our Take

MassPay’s approach represents a sophisticated understanding that AI adoption is fundamentally a change management challenge, not merely a technical implementation. The 50% profit-sharing payout isn’t just generous—it’s strategic proof that AI-driven productivity gains can create genuine win-win scenarios when structured thoughtfully. What’s particularly noteworthy is how the program reframes AI from a zero-sum threat into a collaborative tool that expands the economic pie for everyone. The 7x improvement in processing speed (one week to 24 hours) demonstrates substantial operational gains, while the elimination of five planned hires shows real cost savings. However, the true innovation lies in channeling those savings back to existing employees rather than simply padding margins. This creates a virtuous cycle where workers actively seek AI applications to boost their own compensation. As AI capabilities accelerate and workforce anxiety intensifies, this model offers corporate leaders a practical blueprint for managing the human side of automation—arguably the most critical factor in successful AI transformation.

Why This Matters

This case study represents a breakthrough approach to one of the AI industry’s most pressing challenges: employee resistance to adoption driven by job security fears. As organizations across sectors rush to implement AI technologies, many encounter similar pushback from workers who view automation as an existential threat rather than a productivity tool.

MassPay’s profit-sharing model offers a replicable framework that aligns employee incentives with AI-driven efficiency gains. By ensuring workers directly benefit financially from productivity improvements, the company transforms AI from a perceived threat into a welcomed ally. The dramatic results—50% salary bonuses and 7x faster processing times—demonstrate that properly incentivized employees can become AI champions rather than resistors.

This matters beyond MassPay because it addresses the human dimension of AI transformation, which often determines success or failure more than the technology itself. As AI capabilities expand and workforce displacement concerns intensify, business leaders need proven strategies to manage this transition. The model also suggests that AI-driven productivity gains can be shared with workers rather than flowing exclusively to shareholders, potentially offering a template for more equitable AI implementation across industries.

Source: https://www.businessinsider.com/company-started-profit-sharing-incentivize-ai-use-2026-2