ARTENIS ALIJA
AI & Automation3 min read30 May 2026

Practical AI Automation

A closer look at how AI automation is changing the way businesses operate, with a focus on practical applications and potential risks.

The Signal

Recent developments in AI automation have shown significant promise in streamlining business operations. Companies like PATH and SoundHound AI are leading the charge, with PATH's agentic AI solutions and SoundHound AI's revenue growth in automation software.

Why It Matters

The growth of AI automation is not just about adopting new technology; it's about transforming how businesses operate. AI tools like Gemini Spark and Claude Code Auto Mode are designed to make tasks more efficient, freeing up human resources for more complex and creative work. This shift has the potential to significantly impact productivity and competitiveness.

Where It Gets Practical

For small businesses and entrepreneurs, AI automation tools can be particularly beneficial. Partnerships like HighLevel's collaboration with Neil Patel aim to expand access to AI tools, making it easier for smaller entities to automate tasks and focus on growth. Additionally, AI SEO tools and platforms like MemeToro are emerging, offering new avenues for investment and marketing strategies.

The Constraint

Despite the potential of AI automation, there are constraints to consider. The cost of implementing and maintaining AI systems can be prohibitive for some businesses. Moreover, the reliance on AI raises questions about job displacement and the need for workers to acquire new skills. Security and ethical considerations also come into play, as AI systems can be vulnerable to data breaches and may perpetuate existing biases.

What I Would Try First

For businesses looking to dip into AI automation, starting with small, manageable projects is key. Identifying repetitive or time-consuming tasks that can be easily automated is a good first step. Investing in AI tools that offer a user-friendly interface and comprehensive support can also mitigate the risk of adoption. Lastly, prioritizing transparency and accountability in AI decision-making processes can help build trust and ensure that automation benefits both the business and its workforce.

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