The landscape of business operations underwent a dramatic transformation in 2024, particularly in how we approach AI automation. Mitch Asser’s journey began with a simple goal: to remove himself from his pet care education company to prepare it for sale. What started as an attempt to replicate expensive software functionality led to profound insights about the future of work and business automation. Mitch Asser took to Youtube to explain his best AI Automation advice from his experience in 2024. I will walk you through how to utilize this advice yourself.
What became crystal clear to Mitch is that we’re witnessing the end of the specialist era in business. The traditional role of hiring specialists for individual tasks is rapidly becoming obsolete, replaced by a new paradigm where AI agents and automated workflows take center stage.
The New Business Team Structure
The transformation of team structures is perhaps the most significant shift Mitch observed. Instead of hiring content marketers, designers, or schedulers, businesses will need workflow architects who can orchestrate AI systems. These architects won’t necessarily do the work themselves but will manage the AI agents and automation systems that handle these tasks.
Consider these key changes in team structure:
- Content creation will shift from human writers to AI-driven content agents
- Design work will increasingly be handled by AI tools
- Administrative tasks will be automated through workflow systems
- Project management will focus on overseeing AI processes rather than human teams
Common Mistakes in AI Automation Implementation
One of the biggest mistakes Mitch has seen is how people approach automation tools like Make.com. Many users treat these platforms as prompt-creation tools rather than what they truly are – workflow automation systems. This fundamental misunderstanding limits their potential and creates inefficient processes.
The correct approach involves:
- Using external databases (like Airtable or Google Sheets) as your command center
- Storing prompts and workflows in accessible, easily modifiable locations
- Using automation tools purely for workflow execution
- Creating systems that can be scaled and modified without rebuilding
The Market Gap and Opportunity
What’s fascinating is that the most qualified automation experts haven’t entered the market yet. The current wave consists mainly of newcomers who, while enthusiastic, often lack deep business experience. This creates an interesting dynamic where there’s still enormous untapped potential in the market.
The real revolution will come when seasoned business consultants and operators start applying AI automation to their proven methodologies. Imagine a business consultant who has spent decades optimizing operations now applying that knowledge to create automated systems – that’s where we’ll see truly transformative solutions.
The Most Profitable Path Forward
While many are rushing to become AI automation agencies, the easier money lies in using AI automation to enhance existing, proven business models. The most successful approach I’ve seen is taking traditional services and making them more efficient through automation.
For example:
- Content creation services at lower prices through automated workflows
- Social media management with AI-powered content generation
- Video editing and podcast production with automated processing
2025 Predictions
Two major developments will likely shape the AI automation landscape in 2025:
1. Infinite Memory in AI Systems: We’ll see significant advances in AI systems’ ability to maintain context and information over extended interactions. This will enable more sophisticated and nuanced automation possibilities.
2. AI Agents: The rise of autonomous AI agents could fundamentally change how we approach automation. These agents might eventually handle complex tasks independently, potentially making current automation tools obsolete.
The key to success in this evolving landscape will be building two critical moats: mastery of AI automation and development of a strong audience. Those who can combine these elements will be best positioned to thrive in the coming years.
Frequently Asked Questions
Q: How will AI automation impact existing business teams?
Business teams will transition from having specialists for individual tasks to employing workflow architects who manage AI systems and automated processes. This shift will reduce the need for task-specific roles while increasing the demand for professionals who can orchestrate and optimize AI-driven workflows.
Q: What is the most effective way to implement AI automation in a business?
The most effective approach is to design systems rather than individual automations. This means creating a central command center using tools like Airtable or Google Sheets, storing prompts and workflows externally, and using automation tools solely for execution. This approach allows for better scalability and easier modifications.
Q: What business opportunities exist in the AI automation space?
The most immediate opportunities lie in using AI automation to enhance existing services, such as content creation, social media management, and multimedia production. By automating these services, you can offer competitive pricing while maintaining higher profit margins than traditional service providers.
Q: How can businesses prepare for the future of AI automation?
Businesses should focus on two key areas: developing expertise in AI automation systems and building a strong audience or distribution network. Additionally, they should invest in training team members to become workflow architects rather than specialists in individual tasks.
