AI is becoming more common in the business world. Many companies now use it to save time, work faster, and make better choices. From writing emails to helping with sales, AI tools are starting to play a bigger role in daily work. 

As this shift continues, more business owners are asking how to use AI to stay up-to-date without losing what makes their work special.

One example is Barry Sendach. He is the Founder & CEO of Dome Spaces, Dyester Corp, and Tentspaces, and President at Containers In Motion. He designs and sells outdoor structures like yurts, domes, and container homes. His products are used in yoga retreats and off-grid living, and he even appeared on a TV show.

Barry runs a high-value business where each sale matters. He uses SEO, blogs, and social media to grow his brand. Now, he’s testing AI to make things smoother. He started by using it to sort emails.

Step by step, he plans to teach AI more about his work so it can help with research, marketing, and sales. He also uses automation to stay active online and learn from customer data.

In this article, you’ll learn how businesses like Barry’s use AI in simple, smart ways. We’ll cover real uses, common tools, and how AI can support learning, content, and better decisions without complicating things

Why Are More Companies Using AI in Business?

Many small businesses are beginning to bring AI into their work. One company that makes yurts, tents, and container homes recently hired an AI consultant. The goal is simple: keep up with the world. 

The owner believes that, in a few years, AI will be as common in business as having bathrooms. AI tools are still growing. But many already see them as useful, just like the internet became over time. Business owners don’t want to fall behind while others move ahead.

Why People Worry About AI in Business

Some folks feel unsure about AI. One recent story made it sound like an AI tried to take over. But here’s what happened. Anthropic tested a model named Claude 4. 

A team member asked risky questions to check its safety rules. The model didn’t lose control. Instead, it tried to follow its training. It even tried to report the user when it felt something was wrong.

This test caused a lot of talk online. But the AI only acted the way it was built to. It didn’t go outside its limits or do anything on its own.

Picking the Right AI Tool

Not every AI model works the same. What you choose depends on what you want to do.

Here are a few examples:

• Claude 4: Focuses on safety and structure
• Llama 4: Open source, still improving
• Gemini 2.5 Pro: Fast, clear, and works well right now

It’s smart to test different tools before choosing one. AI changes fast. What works well today might be outdated soon. Flexible businesses can get more value from these tools as they grow.

Fine-Tuning or Using AI in Business with Your Data

If you plan to use AI in your business, you must decide how it should work with your data. You can train the AI with your information or let it pull from your data when needed. Both methods have their place, depending on what you want AI to do.

Starting with Your Own Business Data

Many businesses begin by feeding AI some of their daily content. A good place to start is email. AI can help sort through junk, pick out useful messages, and save time. Once that’s in place, you can train it using documents, files, and other details about your business.

This helps AI understand your work better. It can assist with research, spot missed chances, and support your sales process.

Two Ways to Use Your Data with AI in Business

1. Fine-Tuning a Model

Fine-tuning teaches AI to give answers based on your content. It takes a few weeks to build. The AI learns what to say from your data but won’t know anything new unless you train it again.

2. Retrieval Augmented Generation (RAG)

RAG doesn’t change the model. Instead, it connects AI to a searchable version of your data. When you ask something, the AI finds related info and uses it to answer. The best part is that it stays current as new data comes in.

RAG works well if you often update files, emails, or other info. It helps AI stay useful without constant re-training.

Using AI in Business for Sales and Research

AI can help send updates, follow up with leads, and spot new market trends. This is useful when you make fewer but larger sales. You can focus on real buyers and skip the rest. Regular blog posts, social updates, and PR help build trust and draw new clients.

How does AI in business automate content marketing and insights?

AI can do more than just answer questions. It can help with daily work, especially in content and marketing. If you post blogs, manage LinkedIn, or run social media, AI can make these tasks easier and faster.

Automating Content Workflows

Start with a simple tool like Google Sheets. Add a list of keywords related to your business. These could be product names or common topics.

An AI tool can then:

• Check the sheet every day
• Find new articles based on your keywords
• Summarize each article
• Send you the summary and link
• Ask if you want to post it
• Post it for you if you say yes

You stay in control, but AI does the hard part. You can also set it up to match your writing style or create images for posts.

Handling SEO and Content Concerns

Many people worry about AI-written content and search rankings. One way to fix this is simple. Let AI suggest the topic and give a summary. Then, write the final piece yourself or with your team. That keeps it original while saving time.

Watching Conversations and Trends

AI can also check online forums like Reddit. If someone asks about a product you sell, it can alert you. This lets you reply, offer help, or gain a new customer. It also helps you spot market trends early.

These tools cost very little to run. Most businesses pay just a few cents a day. But they save hours of work and help you stay ahead. For many, it’s a smart and simple way to grow.

How AI in Business Changes Learning and Skill Development?

As AI becomes more common, how people learn and solve problems changes. But the goal stays the same: understand something new and use it well.

From Access to Understanding

Having lots of data doesn’t mean someone has learned. It could be from a book, a website, or AI. How you take that data, understand it, and apply it matters.

Today, learning means:

• Taking in new facts
• Making sense of them
• Using them to do something useful

That skill still matters more than ever.

Old Skills Are Evolving

Years ago, people learned by doing things by hand. For example, counting change or writing checks. These tasks helped build math skills. Now, machines do most of that work.

However, that doesn’t mean those thinking skills are gone. They’ve simply changed. Instead of doing long math, we focus on problem-solving and clear thinking. These are still needed, just in new ways.

Why Prompting Matters

AI tools work better when you ask clear questions. This is called prompting. It’s the skill of giving enough detail for the AI to understand what you want.

For example:

• Weak prompt: What are bats made of?
• Clear prompt: What wood is used to make American baseball bats?

The second one gives context. That helps the AI respond more accurately.

What This Means Going Forward

AI can support learning, but it doesn’t replace it. You still need to think clearly and ask the right questions. The better you frame your input, the better results you’ll get. That applies to using a book, a teacher, or a machine.

Conclusion

AI in business is helping companies work smarter, not harder. It can save time, reduce manual tasks, and offer helpful insights. Many business owners now use it to sort emails, create content, follow market trends, and improve customer outreach. 

You don’t need complex tools to get started. Simple steps, like using AI to suggest article topics or highlight useful data, already make a difference. Moreover, AI works best when you guide it well. Asking clear questions and giving context improves the results. 

This skill is worth learning, just like any other business tool. AI is not here to replace people. It supports better thinking, faster learning, and smarter choices.

That said, not every method works for every business. Some might train their AI. Others might use tools that read and work with their existing data. Both paths offer value. The right choice depends on your goals and the kind of work you do.

In the end, AI is a tool. It works when you use it with purpose. Businesses that stay open to learning and testing will benefit most. As AI keeps growing, its role in business will only get stronger. Starting small today can lead to big gains tomorrow.

FAQs

Can AI in Business help with customer service?

Yes, AI in business can manage chatbots, reply to common questions, and route issues to the right team. It saves time and improves response speed.

Does AI in Business require coding skills?

Not always. Many AI tools work with simple clicks or forms. Some advanced uses may need a developer.

How much does AI in Business usually cost?

Some tools are free. Others charge monthly. Many small businesses start for less than $50 a month.

Can AI in Business work with mobile apps?

Yes, many AI tools connect with mobile apps. You can track tasks, get alerts, or manage updates from your phone.

Will AI in Business replace jobs?

AI can take over repeat tasks. But people still guide it. It helps more than it replaces.