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Hops Aims to Unlock AI’s Full Potential and Deliver Greater Productivity Gains for Businesses

TECHNOLOGY

11/10/20263 min read

AI made people faster. Hops is built to make teams faster.

Artificial intelligence has been one of the biggest business technology stories of the past several years. Organizations rushed to adopt AI-powered tools with promises of dramatic gains in productivity, efficiency, and innovation. Yet many companies are discovering a frustrating reality: while individual workers may be getting faster, the overall business often isn't moving nearly as quickly as expected.

That challenge is exactly what Hops aims to solve.

Founded by Andrew Filev, the entrepreneur behind Wrike, Hops has officially launched its collaborative AI workspace after being tested by more than 2,500 teams during its early access phase. The company's mission is straightforward: transform AI from an individual productivity tool into a true team productivity platform.

The Hidden Problem With Today's AI Tools

AI has undoubtedly made individual contributors more productive. Tasks that once required hours can now be completed in minutes with AI assistance. From writing emails and creating presentations to analyzing data and generating content, today's tools have significantly accelerated personal workflows.

However, businesses rarely succeed through individual effort alone.

According to Andrew Filev, most AI applications are still built around a single user interacting with an AI assistant in a private chat window. Once work is completed, employees must manually share outputs, explain context, coordinate next steps, and transfer knowledge between team members. As a result, valuable insights often remain isolated within individual conversations.

The outcome is a disconnect between personal productivity gains and organizational performance.

Filev notes that many founders and executives report their organizations operating only 10% to 20% faster than they did a year ago, far below the transformational gains that AI initially promised.

Why Teamwork Is the Missing Link

The core philosophy behind Hops is that AI should be integrated into how teams work together rather than how individuals work alone.

The company compares today's AI landscape to the early days of personal computing. Faster computers created value, but the true transformation occurred when those computers became connected through networks. Filev believes AI will follow a similar path.

Instead of functioning as separate assistants for each employee, Hops allows people and AI to collaborate directly within shared workspaces that include chats, documents, presentations, dashboards, and even custom applications. Knowledge contributed by one person can be leveraged by the entire team, creating a shared intelligence layer across the organization.

Building AI Into the Entire Workspace

Unlike traditional collaboration tools that simply add an AI chatbot as a feature, Hops was designed from the ground up as a collaborative AI platform.

The workspace enables AI to work directly inside shared files and team resources. For example, a marketing leader can train Hops on brand voice, messaging priorities, and customer preferences. Team members can then generate content that reflects those standards without needing constant reviews and approvals.

Similarly, designers can teach Hops how visual assets should be used, making it easier for non-designers to create content that remains consistent with established brand guidelines.

The platform also connects with more than 2,000 external applications, allowing teams to integrate workflows across existing business systems.

Moving Beyond Individual Productivity

As organizations continue investing heavily in AI, many leaders are beginning to ask a critical question: How do we translate individual efficiency gains into company-wide results?

Hops argues that the answer lies in shared intelligence, collaborative workflows, and AI systems that support teams rather than isolated users. By embedding AI directly into the way work is created, reviewed, shared, and executed, the company hopes to close the gap between AI's promise and its actual business impact.

The Next Phase of Workplace AI

The launch of Hops reflects a broader shift in how businesses may approach AI adoption in the years ahead. The conversation is increasingly moving beyond individual productivity tools and toward platforms that connect people, knowledge, and workflows across entire organizations.

If that vision succeeds, the future of AI may not be defined by how much faster individuals can work, but by how effectively teams can work together. And for companies still waiting for the 10x productivity revolution they were promised, that distinction could make all the difference.

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