The Path to AI Creator News: When employees control AI agents, productivity may increase by up to 30%. The innovative perspective advocated by the CEO of WorkBeaver, which uses AI as a tool, will change the future of business. #AIAgent #ImproveProductivity #BusinessTransformation

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Workers should control the means of agent production, WorkBeaver CEO proposes

👋 Business professionals, as a wave of AI agents transforms your workplace, why not embrace the revolutionary perspective that says workers should take the lead? As this interview with WorkBeaver's CEO shows, there's an opportunity to exponentially increase productivity and redefine the structure of industries by leveraging AI as a tool.

AI is evolving rapidly, moving from mere tools to autonomous agents. However, the key is to focus on the demand side of workers and businesses, rather than vendor-driven oversupply. In the words of WorkBeaver CEO:ROI (return on investment)It's packed with tips for maximizing profits and building a sustainable business model. In this article, we'll delve deeper into this perspective.

Workers should control the means of agent production, WorkBeaver CEO proposes

Background and Issues

As of 2025, AI agents have become central to corporate activities. However, many business people face confusion due to an oversupply of AI vendors. In an interview, the CEO of WorkBeaver pointed out this problem and proposed that "workers should control the means of agent production."

In the traditional AI market, vendors push cutting-edge technology, but this tends to ignore the true needs of companies. As a result, implementation costs are high and ROI is low in many cases. For example, in manufacturing and service industries, AI agents are supposed to automate tasks, but the complexity of configuration increases the burden on employees, resulting in the opposite effect.

The root of this issue lies in the fact that the voices of the demand side (workers and businesses) are not being sufficiently reflected. In the words of the CEO, "AI vendors are too focused on the supply side. If they do nothing, workers will just be exploited as users." This tilts the industry structure in favor of vendors, hindering sustainable growth.

From a business perspective, this situation makes decision-making more difficult. Managers are unsure about AI investments and risk missing opportunities to improve productivity. Socially, the AI ​​divide is widening, creating a structure in which only a few large companies benefit.

Technical and content explanation

In an interview with WorkBeaver's CEO, the key concept was the concept of "agentic production" using AI agents. This refers to a system in which AI is not just a tool, but autonomously executes tasks and takes charge of the production process. He argues that efficiency can be improved by having workers control this.

Click to enlarge.

Let's compare the traditional AI system with the new approach proposed by WorkBeaver, as summarized in the table below.

Item	Conventional AI systems	WorkBeaver's new approach
Subject of control	Vendor-led (supply side)	Worker and business-led (demand side)
Impact on productivity	Partial automation, but difficult to customize	Increase your ROI with custom agents, up to 30% more efficient
Implementation costs	High cost and mainly fixed costs	Flexible and scalable variable cost model
technical constraints	Many black boxes and low transparency	Open control for high transparency and easy governance
Impact on industry structure	Vendor oligopoly is on the rise	Democratized and open to a wide range of companies

As this comparison shows, this new approach fundamentally changes business efficiency by giving workers control over the design and operation of agents. For example, while AI agents handle tasks autonomously, WorkBeaver's model allows users to adjust parameters, eliminating the mismatch that occurs in traditional systems.

Technically, agentic AI is based on a multi-agent system and employs a hybrid inference model. It emphasizes data activation and change management, and WorkBeaver is characterized by its demand-side focus, even compared to examples like Salesforce's Agentforce. In interviews, it was repeatedly stated that "AI vendors should focus on the demand side," which symbolizes the trend for 2025.

Furthermore, the CEO advocates for the democratization of the means of production, aiming for a world where "everyone can use AI agents." For businesspeople, this technological shift will be the foundation for strategic planning.

Impact and use cases

The impact of this proposal is significant in business situations. First, in terms of improving productivity, having workers control AI agents reduces unnecessary tasks and improves ROI. For example, in the manufacturing industry, agents can automate inventory management, allowing employees to focus on strategic planning. As a result, there have been reported cases where the efficiency of the entire company has increased by 20-30%.

The impact on industry structure is also significant. Under the traditional vendor-centric model, large AI companies dominated the market, but the shift in demand is making it easier for small and medium-sized enterprises to enter the market. The rise of platforms like WorkBeaver will intensify competition and accelerate innovation.

As an example of its use, Salesforce's Agentforce shows that leaders who implemented AI agents in their work in 2025 maximized business value through data activation. From WorkBeaver's perspective, this technology can be further evolved to be worker-driven, for example, by customizing customer service agents in the retail industry. As a result, customer satisfaction has improved, leading to increased sales.

As for social impacts, it is expected that AI will narrow the gap between rich and poor. If workers control the means of production, the skills gap will be narrowed and diverse human resources will be able to thrive. For example, if frontline workers in the service industry use AI to participate in decision-making, organizational hierarchies will become flatter, leading to increased motivation.

Meanwhile, in terms of technology utilization, multi-agent systems are key. According to a Deloitte report, the reason why only 11% of AI agents will be adopted by 2025 is due to a lack of trust, but WorkBeaver's approach overcomes this. Business leaders should use examples like this as a reference when formulating their own strategies.

Action Guide

For business people, here are some concrete suggestions for your next steps. First, assess your current AI implementation status. Calculate the ROI of how much your company is using agents in its operations. If you are dependent on the supply side, consider a demand-side platform like WorkBeaver.

Step 1: Identify the needs of your AI agent within your team, gather worker feedback, and lay the foundation for a custom design.

Step 2: Conduct a pilot project, for example, deploy agents in the sales department and measure productivity gains. If successful, roll it out company-wide.

Step 3: Invest in education. Hold workshops to equip employees with AI control skills, incorporate them into decision-making processes, and strengthen industry competitiveness.

Finally, consider hiring an external consultant to help you develop a strategy based on your WorkBeaver interviews, which will help you achieve short-term productivity gains and long-term business model transformation.

Future prospects and risks

Looking ahead to the future, agentic AI will become mainstream after 2026, and multi-drug systems will transform corporate operations. Standardizing worker control, as proposed by WorkBeaver, will enable adaptive operations. According to CIO magazine, IT organizations will be redesigned, accelerating value creation while reducing security risks.

However, the risks cannot be ignored. A lack of governance could lead to AI agents malfunctioning and disrupting business operations. An article in SiliconANGLE points out the importance of visibility and guardrails. Given that trust issues remain and only 11% of AI systems have been adopted, a cautious approach is necessary.

Additionally, the threat of AI browsers as a security risk has been discussed on FedScoop. Purple team testing is recommended, and intentional security should be strengthened. Looking at the risks impartially, while worker control offers democratizing benefits, it also raises the risk of widening inequality due to skill shortages. While it has great potential, balanced implementation is key.

My Feelings, Then and Now

This interview with WorkBeaver's CEO highlights the importance of shifting control of AI agents to workers. This will enable businesses to increase productivity and redefine the industry. From background to use cases and action, a demand-side perspective is key to success. Adapting to these changes will give you a competitive advantage in 2025.

Reference links and information sources

• WorkBeaver CEO: Workers should control agents, not opposite • The Register
• Workers should control the means of agentic production, suggests WorkBeaver boss
• Inside Salesforce's Agentforce Roundtable: How Did Leaders Really Use AI Agents in 2025?
• AI agent governance is the new resilience mandate – SiliconANGLE
• Why AI agents failed to take over in 2025 – it's 'a story as old as time,' says Deloitte | ZDNET