Hiring an AI Coworker vs. Hiring a Virtual Assistant

Hiring an AI coworker vs. hiring a virtual assistant can lead to different results, so it’s important to consider their capabilities carefully before choosing.

An AI coworker can help handle repetitive tasks, process information, and keep workflows moving, while a virtual assistant offers human judgment, adaptability, and personal support. Each has its advantages and limitations, and the biggest productivity gains may come from combining the two.

Read on to learn more about both options.

Key Takeaways

• AI coworkers automate repetitive tasks and workflows. They can summarize information, draft communications, prepare reports, and execute defined tasks, helping teams reduce manual work and handle routine requests more efficiently.
• Virtual assistants provide human judgment and personalized support. They can adapt to changing priorities, interpret nuanced situations, manage relationships, and take ownership of administrative and operational responsibilities within their available hours.
• AI coworkers and virtual assistants differ in capacity and adaptability, but both require oversight. AI can take on more routine work as volume grows, while a virtual assistant’s capacity is limited by their working hours. However, they are better at adapting to changing priorities.
• Combining human expertise with AI capabilities can improve productivity. Instead of choosing one option exclusively, you can delegate structured, repetitive tasks to AI while relying on people for decisions, relationship management, and nuanced situations.
• Hops brings an AI teammate into your team’s everyday work. With shared spaces, skills, connected apps, and automations, Hops takes on tasks across functions while your team reviews the work and makes the decisions.

What Is an AI Coworker?

An AI coworker is an AI agent that works alongside your team and completes tasks across your business tools. Depending on its capabilities, it may answer questions, process information, create content, and execute multi-step workflows.

The level of autonomy varies between solutions. Some AI coworkers provide recommendations or draft outputs for approval, while others can execute defined tasks with less direct involvement.

What Tasks Can an AI Coworker Handle?

AI coworkers are practical for repetitive, structured, and time-consuming work. They can help teams:

• Manage information: Summarize documents, organize research, and extract key findings from long documents and datasets
• Prepare communications: Draft emails, create meeting summaries, and generate internal documentation
• Coordinate workflows: Organize action items, route routine requests, and update connected applications
• Support reporting: Pull data from connected tools, prepare recurring reports, and highlight trends
• Automate routine processes: Complete multi-step task sequences on a schedule or when a specific event occurs

What Is a Virtual Assistant?

A virtual assistant is a professional who provides remote administrative, operational, or specialized support to an individual or team. They may work as a freelancer, through agencies, or as part-time or full-time employees.

Unlike AI systems, virtual assistants bring human judgment, interpersonal skills, and the ability to interpret context that may not be captured in written instructions.

They can pick up on unspoken expectations, recognize when priorities have changed, and adapt their approach to unexpected situations.

What Tasks Can a Virtual Assistant Handle?

Virtual assistants can take ownership of a broad range of responsibilities, including:

• Administrative support: Managing calendars, arranging meetings, booking travel, and organizing documents
• Communication management: Monitoring inboxes, responding to routine inquiries, and coordinating follow-ups
• Research and preparation: Gathering information, preparing presentations, and organizing findings
• Project coordination: Tracking deadlines, communicating with stakeholders, and keeping tasks moving
• Personalized assistance: Learning a manager's preferences, anticipating recurring needs, and adapting to changing priorities

Virtual assistants can work independently, but their capacity is limited by their working hours, availability, and existing workload.

AI Coworker vs. Virtual Assistant: 7 Key Differences

Both options can reduce your team's workload, but they approach work differently.

There are also middle-ground solutions. An experienced virtual assistant may use automation to work more efficiently, while an advanced AI coworker or team of agents can handle complex workflows.

The key distinction is in what each option can reliably accomplish in your specific work environment.

The Pros and Cons of Hiring an AI Coworker

Here are the key advantages and limitations to consider when deciding whether an AI coworker is the right fit for your team.

Advantages of an AI coworker:

• Reduced manual workload: AI can take over repetitive activities such as summarizing documents, organizing information, and preparing routine reports.
• Consistent task execution: Once a workflow is properly configured, an AI coworker can follow the same steps each time, so recurring outputs, such as status updates, don’t vary depending on who prepares them or how busy the team is.
• Faster information retrieval: AI coworkers can search available documents, conversations, and connected sources to quickly find relevant information, so employees don't have to search through files or ask colleagues for answers.
• Improved workflow continuity: AI coworkers can help carry tasks forward by organizing action items, updating connected tools, and preparing next steps, reducing the need for repeated manual follow-ups.
• Scalable capacity: An AI coworker can take on more tasks than a human, including outside standard working hours and during holidays.

Limitations of an AI coworker:

• Limited contextual understanding: AI coworkers may misinterpret ambiguous instructions, miss important nuances, or produce unsuitable results when they lack sufficient context.
• Potential inaccuracies: AI-generated summaries, reports, and recommendations can contain errors, so outputs need to be checked before being used or shared.
• Setup and integration requirements: Connecting an AI coworker to existing tools and configuring workflows may require technical setup, testing, and ongoing maintenance.
• Data security and privacy concerns: Giving an AI coworker access to company documents, customer information, or business applications can create privacy and compliance risks without appropriate permissions and safeguards.

For these reasons, AI works best when teams identify suitable tasks, set clear boundaries, and review output quality instead of assuming automation will improve productivity on its own.

The Pros and Cons of Hiring a Virtual Assistant

Below are the main benefits and drawbacks of hiring a virtual assistant.

Advantages of a virtual assistant:

• Human judgment and flexibility: Assistants can interpret ambiguous instructions and ask questions, which helps when work doesn't follow a predictable pattern.
• Personalized support: Over time, a virtual assistant can learn how a manager prefers to work, which tasks need prioritizing, and how to communicate with different stakeholders.
• Relationship management: A human can handle sensitive conversations, recognize interpersonal nuances, and build relationships with customers, colleagues, and business partners.

Limitations of a virtual assistant:

• Limited availability: Virtual assistants work within agreed hours, so tasks may stall when they're offline, on leave, or busy, especially if no one else is familiar with their responsibilities.
• Onboarding and training: They need time to learn your processes, understand your preferences, and become familiar with the tools they use.
• Finite capacity: A virtual assistant can only handle a certain amount of work within their available hours, so growing workloads may require additional support.

Hiring an AI Coworker vs. Hiring a Virtual Assistant: Which One Should You Choose?

An AI coworker is likely the better fit if most of your workload is repetitive, rules-based, and spread across digital tools. A virtual assistant makes more sense when the work depends on relationships, judgment calls, or priorities that change from day to day.

You don't have to strictly commit to one option. For many teams, the strongest setup uses both. For example, the AI coworker prepares the groundwork, and the VA reviews it and takes care of edge cases and sensitive situations. The right balance comes down to your team's workload, priorities, and the way you want to organize work.

However, to make this approach work, people and AI need a shared place to work, with access to the same context.

Make the Most of an AI Coworker With Hops

Hops is the platform where people and their AI teammate work together in shared spaces. Instead of keeping AI in a separate chatbot, your team works with Hops in the same conversations, documents, tables, and files.

Hops draws on existing project context, works with more than 2,000 connected apps, and returns completed tasks to the team for review.

You can also install skills that teach Hops how to do specific jobs. Depending on the skills, integrations, and permissions available, Hops can support teams across multiple departments, including:

• Sales: Hops prepares meeting briefs, summarizes account activity, and drafts follow-up messages.
• Marketing: It conducts research, creates content, checks Google Ads against your CPA targets, monitors competitors, and compiles campaign reports.
• Finance: Hops organizes financial information, identifies budget variances, and prepares reports for review.
• HR: It drafts job descriptions, coordinates onboarding activities, and answers routine questions using available documentation.

Hops can also support recurring workflows through automations, which you can describe in plain language and set to run on a schedule or when a trigger occurs. Sensitive actions, such as sending an email, can wait for a person to approve them.

Try Hops and let it prep the first drafts while your team makes the final calls.