Artificial intelligence is transforming how businesses operate and, along the way, what it takes to start one. In a 2026 Shopify survey of entrepreneurs, 67% of US respondents said AI tools are making entrepreneurship more accessible, and 86% said ecommerce platforms make starting a business easier than a decade ago.
Jeremiah Curvers, cofounder and CEO of mattress brand Polysleep, agrees. “You don’t need to be an expert, especially now with the advent of so many AI tools,” he says on an episodef of Shopify Masters. Even with limited capital, aspiring founders can now use no-code AI solutions to launch a business. The challenge is choosing the right AI-based business idea to pursue.
If you’re an aspiring AI entrepreneur looking to launch your own business, this guide has 15 AI business ideas to get you started, along with what each one costs to launch and the first steps to take.
Why start an AI business?
AI solutions are now more accessible, and models that once required a data center and a research team can now be done for the cost of a $20-per-month subscription. According to Stanford’s 2026 AI Index, the cost of GPU computation has fallen by more than 99% since 2006, making it feasible to train and deploy models that would have been cost-prohibitive even a decade ago.
Small businesses—not just large corporations—are realizing the impact of AI. In the US Chamber of Commerce’s 2025 Empowering Small Business report, 85% of AI users reported increased sales and 84% reported profit growth.
For entrepreneurs, there’s also an opportunity to serve unmet needs. In a 2025 Shopify survey, 25% of established store owners reported not using AI tools at all. Among those non-users, 29% said they didn’t know where to start.* Those small businesses are potential clients.
15 AI business ideas
- Sell products
- Sell services: marketing and creative
- Sell services: operations and data
- Sell software
While AI lowers the technical barrier to many business ideas, it doesn’t entirely remove it. The data analytics and software ideas in particular call for some comfort with data pipelines, models, and APIs. But most of the ideas build on existing AI models rather than requiring you to train your own, so you don’t need a machine-learning background to get started.
Here are 15 AI-based business ideas, sorted into four categories:
Sell products
1. Build an AI-powered ecommerce store
Retail keeps moving online, with ecommerce reaching 20.5% of global retail sales in 2025 and forecast to hit 22.5% by 2028. On Shopify alone, the number of businesses making their first sale has grown seven times since 2018.
Building and running an ecommerce website once required a team, but it can now be automated by a platform’s built-in tools. You can use AI tools to answer customer questions with Shopify Inbox, automate supplier emails and low-stock alerts with Shopify Flow, and write product descriptions with Sidekick.
As Clubhouse Skin founder Ben Attwood tells Shopify, AI tools can also help you direct your time more effectively. “I asked Sidekick to break down my customer list by who was the most engaged,” he says. “I reached out to the top 10% one by one.”
When it comes to choosing what you sell, consider how AI is reshaping product discovery. AI shopping assistants recommend products based on how well they match a request, matching them on specific attributes (for example, a carry-on that meets a budget airline’s baggage policies).
What matters is how well your product solves a stated problem, not just how popular it is. Shopify found that in 2025, 71% of orders that came through AI were for niche categories (outside the top 100 by sales volume).
Startup costs: Shopify’s Basic plan starts at $39 a month with Sidekick included in all plans. Inventory costs vary.
How to get started:
- Find a trending product in an emerging category and use AI tools to conduct market research and identify customer demand.
- Generate a storefront with Shopify’s AI store builder, or build a custom one with v0, Lovable, or Replit.
- Launch with a small catalog so you can see which products sell before committing to inventory.
Sell services: marketing and creative
2. Become an AI content marketer
Content marketing is creating and publishing content that attracts customers and builds trust in a brand. AI content marketers help teams develop a strategy, design prompts, generate content that fits a target audience, and adjust based on performance. AI models use natural language processing to produce drafts; your value is in the strategy and editing around them.
Cheaper production thanks to AI hasn’t reduced budgets, in part because there is new work to do. As more discovery shifts into AI-generated answers, brands need content that models can parse and cite.
In fact, budgets are continuing to grow. In a 2026 survey of more than 450 marketers by B2B services marketplace Clutch, 75% said they already use AI-powered tools in their standard content workflow, and 87% planned to increase their content marketing budgets this year.
Startup costs: A subscription to ChatGPT Plus or Claude Pro starts around $20 a month. Research tools are an additional investment: Semrush starts around $117 a month and Ahrefs around $129. (You can start with just the AI model and add search tools when clients justify them.)
How to get started:
- Practice with an AI content marketing tool like Grammarly, Semrush, or Surfer.
- Build a portfolio or blog that shows your results.
- List your services on a freelance marketplace like Upwork or Fiverr.
3. Start an AI marketing agency
AI marketing tools let a small team run content, campaign analysis, and paid media across several channels at once—work that a traditional agency splits among copywriters, SEO analysts, and media buyers.
You can offer market research, audience research, content creation, graphic design, video production, managing ad spend, and campaign reporting, either as a full-service agency or a specialist.
In Shopify’s 2025 survey, 37% of store owners identified marketing as their biggest first-year challenge, followed by customer acquisition, at 36%.* That makes newer businesses your most likely clients.
Startup costs: A language model subscription at roughly $20 a month, a design tool like Canva or Figma, and client-management software like Notion or HubSpot. Start with free AI-powered design tools and client-management platforms, then scale up as you need more advanced features or seats.
Shopify’s Basic plan starts at $39 a month and includes Sidekick, which can help with several kinds of ecommerce marketing, including product descriptions and email campaigns, all from a single prompt.
How to get started:
- Choose an industry you already understand—for example, hospitality, legal services, or software.
- Shortlist brands in that industry that might need marketing support.
- Compare your results against industry benchmarks, or to a prospective client’s previous customer acquisition cost in a customized pitch.
4. Become a generative engine optimization (GEO) specialist
An AI agent doesn’t browse a product page the way a shopper does; it reasons across structured attributes and skips whatever it can’t parse.
Answer engine optimization (AEO)—also called generative engine optimization, or GEO—is the practice of structuring a website and product catalog so large language models can parse, cite, and accurately recommend that brand and their products.
In Q1 2026, Shopify reported that AI-driven traffic to its stores grew eight times year over year, orders from AI-powered searches rose nearly 13 times, and new buyers placed orders through AI channels at nearly twice the rate of other channels.
In a Clutch survey, nearly 25% of marketers said large language models (LLMs) are the primary audience for the majority of their content. For ecommerce businesses, GEO is becoming a competitive advantage as more shopping moves into AI chat.
“GEO is a super-fast moving discipline,” says Greg Bernhardt, senior SEO specialist at Shopify. He recommends setting aside an hour a week to read up on what’s changed.
Startup costs: GEO platforms are the main expense, with Semrush starting around $117 a month and Ahrefs around $129, on top of a language model subscription at roughly $20.
How to get started:
- Ask ChatGPT or Copilot about your own service. If it gets things wrong, try to correct the error in the source material.
- Audit a client’s product attributes—materials, dimensions, compatibility, use case—which matter more to a model than browsing copy.
- Track AI-referred traffic separately from organic search, so you can show a client what changed as a result of GEO.
5. Become an AI social media manager
AI social media managers help brands develop a strategy, configure AI social media tools and oversee those tools the way a marketing manager oversees an employee. The tools can create, schedule, and publish on their own; your job is reviewing scheduled posts for accuracy and brand fit before they go out, confirming they published correctly, and handling replies.
Building a social media presence was the second most common growth strategy in Shopify’s 2025 survey, cited by 35% of store owners—behind only word of mouth at 53%. Among clothing and apparel businesses, social media presence was the single biggest competitive differentiator.*
Startup costs: Subscription expenses are the main cost. For social media management, platforms like Buffer have free and low-cost entry plans, with paid tiers rising as you add clients and channels. Budget for a language model subscription at roughly $20 a month as well.
How to get started:
- Identify which social media platforms your target clients use most.
- Grow your own channels with tools like Buffer or Hootsuite, then show those results to prospective clients.
- Build a portfolio website featuring that growth.
6. Start an AI video production studio
AI video generators create clips from a written description—no camera, crew, or location involved. You describe the video, the tool produces footage, and you revise the prompt until you’re happy with the result. (Because these are generative tools, the same prompt yields different footage each time.)
You can generate short clips or assemble longer ones from several clips. Transcription tools like Descript or Rev turn finished clips into text, so a video can be repurposed as a blog post or email.
Your clients can subscribe to the same tools you use, so what they buy from you is human judgment. Some of that is prompt engineering: knowing how to describe a shot so the model returns something usable, consistent, and brand-aligned. The rest is making decisions about what a video is about, what to cut, and how to pace it.
Startup costs: Adobe Firefly starts at $10 a month and includes access to partner models from Google, OpenAI, and others. Higher pricing tiers include access to additional models and more credits for video generation.
How to get started:
- Pick a format—explainer videos, product tutorials, social clips—and make a few examples using brands you’d like to work with.
- Run the same prompt through different models to see how they handle product detail, motion, and faces.
- Confirm commercial licensing before your first client project, since terms vary across partner models.
7. Start a product photography studio
An AI image generator produces on-model and in-context shots from a single flat product photograph, and generates brand-styled variants across a catalog from one reference image. As a product photography studio, you shoot or source the reference images, run and re-run them until you’re happy with the output, and deliver a finished, on-brand set of images for your client to publish.
When photos are shot by different people at different times, inconsistency creeps into product pages, social posts, and email. With the help of AI, you can impose a consistent visual style across every image and give each brand a coherent look. Because you can price the work per image, a full catalog is easy to scope and bill.
Startup costs: Shopify includes background editing and image generation. AI powered design tools like Photoroom, Pebblely, and Flair.ai have plans from $7.50 to $82.50 a month depending on volume, with multiple plans in the mid-range. Check pricing against your expected output.
How to get started:
- Shoot a few of your own products against a plain background, then run them through the tools to see how accurate the results are.
- Look for stores with large catalogs and inconsistent visuals, like apparel, home goods, or accessories brands.
- Generate images for a few stores you’d like to work with and feature them in your pitch.
- Confirm commercial licensing and who owns the output before your first client project.
Sell services: operations and data
8. Become an AI implementation consultant
Offer consulting services to help companies identify and adopt AI solutions. You audit a client’s workflows, find repetitive administrative work—paying bills, scheduling, invoicing, expense reports—and configure existing AI tooling to absorb it. The goal is efficiency without adding headcount.
The 2025 Shopify survey found that among store owners not using AI, 29% weren’t sure what AI tools can do, 29% didn’t know where to start, and 26% didn’t know which tool to use.* Your business can help with all three. Some consultants stop at the audit and recommendation; others stay on to run the tools they’ve configured and monitor the output for accuracy.
Startup costs: A language model subscription at roughly $20 a month covers much of the work, since you’re configuring tools that already exist rather than building them.
How to get started:
- Choose an industry you’ve worked in before, where you already understand the basic workflows.
- Start with a paid audit of a client’s repetitive, time-consuming tasks.
- Don’t try to master every product on the market; specialize in a few workflows and tools you know deeply.
9. Create an AI data analytics service
A store’s data—user sessions, order history, ad platform exports—usually sits in separate systems that don’t talk to each other. An AI predictive analytics service pulls them together and uses AI algorithms to analyze purchase history and user preferences, helping forecast what a customer is likely to buy next, turning scattered data into insights you can act on.
The appeal of predictive analytics for a client is that their team can ask questions directly using plain language. For business owners like Sean Frank, CEO of accessories brand Ridge, this changes what a non-technical team can do: “Now my entire team is operating like data scientists, and they didn’t need to learn Python or SQL,” he says on an episode of Shopify Masters.
Startup costs: Cloud databases, including BigQuery, have both a free usage tier and flat-rate pricing. The connector tools that move data into it are the larger line item—Airbyte starts around $29 a month for an individual plan, with a free tier available. Pricing scales with the number of clients you take on.
How to get started:
- Build a data pipeline using your own store or a friend’s.
- Build a prospect list of stores that have been in business for at least a few years. They’ll have enough order data for you to work with.
- Start with a focused remit: one or two questions a client can’t currently answer.
10. Start an AI demand forecasting service
Out-of-stocks and overstocks cost retailers $1.7 trillion a year—about 6.2% of global retail sales—according to a study by retail research group IHL. Traditional supply chain planning leans on historical sales, which a brand-new product doesn’t have.
Machine learning gets around that: AI algorithms can forecast demand for a new product from its category, price band, material, colorway, and launch season, matching it against comparable items already in the catalog and borrowing the demand curve from the closest matches.
As a forecasting service, you take a client’s sales history and catalog data, produce demand estimates for upcoming launches and reorders, and deliver them as a recurring report or dashboard the merchandising team can use for planning.
Startup costs: As a consultancy, close to nothing. The modeling work happens in a spreadsheet or in Python, both free. You can also build client dashboards using AI coding tools like Claude Code, Lovable, or Replit. You’ll face more significant expenses if you turn your service into software you sell and need to pay for hosting, live integrations into client systems, and security review.
How to get started:
- Target brands with frequent launches like apparel, beauty, and seasonal goods.
- Offer a first forecast for free to a brand you already buy from, in exchange for their launch data and permission to reference the results.
- Forecast last year’s launches, then check your results against actual sales.
Sell software
11. Start an AI agent development business
Instead of answering questions like a chatbot, AI agents complete repetitive and rule-based tasks—reordering inventory, adjusting prices, issuing invoices. McKinsey found that 62% of organizations are experimenting with agents while only 23% have scaled them in even one business function.
An agent development business finds processes that cost a client time each week, then builds, tests, and maintains the agents that handle that work.
Startup costs: Subscribing to Claude Pro or ChatGPT Plus—roughly $20 per month—covers development, but agents require API access, which is billed on a per-token basis. Your costs rise with how often a client’s agent runs, so consider putting expected volume in your retainer pricing.
How to get started:
- Automate a task you do yourself daily as a minimum viable product you can demo.
- Build for Shopify stores with the Shopify AI Toolkit, which works in Cursor, Claude Code, and VS Code.
- Look for businesses that are doing work manually: updating stock, issuing invoices, or reconciling orders by hand.
12. Build an AI customer service platform
AI customer experience tools are becoming essential in support. Ridge CEO Sean Frank says the brand now handles 60% of its support tickets with AI, routing complex issues to its human team, and that its Net Promoter Score rose from 90 to between 95 and 97 after automating.
Your company can build a tool to answer repetitive questions, run quality checks on tickets, and triage what needs a person. The work is mostly integration, not conversation design: your bot needs a live connection to order records and product data, because one answering confidently from incomplete information creates more tickets than it closes.
Startup costs: Model access bills per conversation rather than per seat, so it stays low while you’re testing and rises with ticket volume. The real cost is engineering—building the integration into a client’s order system and hosting customer data securely.
Shopify store owners automatically have access to an AI chatbot: Shopify Inbox uses data from the store’s policies to answer customers instantly.
How to get started:
- Point a model like Claude or ChatGPT at your own order data and see how it handles real questions.
- Feed it your past customer interactions and FAQs, and start with order-status questions—the highest-volume and easiest to verify against a real record.
- When pitching a prospective client, ask for a week of past tickets and show them what your bot would have said in response.
13. Build an AI coaching platform
Online courses package knowledge into a digital product you can build once and sell forever, but they’re static. An AI coaching platform draws from an expert’s material—a book, a course, or recorded sessions—so clients get one-on-one feedback without scheduling time.
You don’t need to be the actual expert to start this business. You build and sell the platform to coaches, therapists, authors, consultants, and other subject matter specialists, who run it under their own brand. You can license it for a monthly fee or a share of what they charge their clients.
Startup costs: Access to AI models is usually billed by query volume, so your costs rise with use, though flat-rate tiers are also available if your volume is predictable. You also need a portal where clients log in and ask questions: a standard web app with authentication. Platforms like Memberstack ($29 to $499 per month) and Outseta ($37 to $397 per month) handle logins and subscriptions without custom development.
How to get started:
- Look for podcast hosts, course sellers, and authors with a full calendar and a waitlist.
- Build a demo version to pitch prospective clients using their public material, with permission.
14. Create an AI accounting tool
AI algorithms can auto-sort expenses, extract data from invoices, reconcile transactions, forecast cash flow, and flag errors in statements.
In Shopify’s 2025 survey, 42% of store owners identified profitability as their top goal. And while 77% track total revenue, fewer than half track profit margin.* An AI accounting tool can help to close that gap by automating tedious work—for example, categorizing costs as they come in and reporting on margin per order.
Accounting tools are typically sold as a monthly subscription, though you can also license yours to bookkeepers and accounting firms to help them serve their clients.
Startup costs: You’ll need to pay for bank and payment processor integrations, secure data handling, and a compliance review before you touch anyone’s finances. Budget for several months of building with no revenue, because this work takes time and capital upfront.
How to get started:
- Bring on expertise: get input from qualified accountants or bookkeepers to train the model, particularly around tax.
- Prioritize clean, structured data from your customers’ banks and payment processors. You’ll also need reliable integrations to securely collect the data.
- Train the system to reconcile transactions and structure data into reports.
- Review financial and data protection regulations before handling customer information.
15. Develop an AI recruitment tool
The average business spends roughly $5,475 to recruit a non-executive employee, according to a 2025 report by the HR nonprofit SHRM. An AI recruitment tool handles candidate sourcing, résumé review, interview coordination, and onboarding.
The tool is often presented as a dashboard where a hiring manager works. Applicants submit their résumés, then the model summarizes each one against the job description, ranks candidates for the hiring manager to review, and drafts outreach and scheduling emails.
Startup costs: Engineering and database work upfront, plus legal review that recurs as hiring rules change. According to the International Association of Privacy Professionals, 144 countries have their own data protection and privacy laws, so budget for compliance in every region you operate in.
How to get started:
- Start with one function, like candidate screening or job matching.
- Securely collect résumé, job description, and profile data.
- Test against a role the client has already filled, and retrain on the results.
How much does it cost to start an AI business?
Most of the ideas above are service businesses, and your primary costs are subscriptions: a language model at roughly $20 per month, plus specialized tools—like for design or data managemen—as needed.
Building custom AI software is the exception, and estimates vary widely: one source puts startup costs as low as $5,000, while another cites $20,000 to $500,000 or more. Various factors determine where you’ll fall within this range, including:
- Complexity: A chatbot that answers FAQs from a set of documents you upload might cost a few thousand dollars; an enterprise platform that connects to a client’s order and inventory systems and handles thousands of conversations each day costs far more to build and run.
- Data requirements: A forecasting or recommendation tool needs a live connection to data, such as customer orders and updated product catalogs. This requires a data pipeline and secure storage.
- Infrastructure: Running your own models (renting GPUs) costs more than calling a model’s API, and it’s usually only worth it to maintain your own infrastructure if you’re handling data you can’t send to a third party, like patient records.
As you build your business plan, factor in the general costs of starting a business, like registration fees, insurance, and marketing.
If you can’t cover startup expenses upfront, financing options include bank loans, which don’t require giving up equity; grants like America’s Seed Fund, which are nonrepayable but competitive; venture capital, which costs you equity; and crowdfunding.
Established store owners tend to combine sources. In the 2025 Shopify survey, 79% of respondents said they funded growth from their profits, and 62% also used outside capital.*
Challenges of launching an AI business
These businesses come with their own challenges to weigh against the opportunity:
Reliability
Collecting data, configuring systems, and writing prompts are all learnable without an engineering background. The challenge is AI output varies between runs, and building a reliable system for a client requires ongoing work. Build a review step into whatever you deliver.
Regulation
Businesses are required to meet privacy laws and get explicit consent before collecting customer data. Healthcare and finance have particularly strict regulations protecting data. Plugging that information into a model could break those laws and lead to fines or worse. Get legal review before you touch any data related to health, finances, or hiring.
Accuracy
Audit a client’s data first to ensure it’s clean enough to train on. “If your underlying data has issues, has biases, or a certain segment of the population is missing, that would sometimes be magnified in the answer that AI is giving you,” says Maryam Haghighi, Bank of Canada’s director of data science, on Shopify Masters.
Quality
AI has made content cheaper to produce, and audiences have noticed: 56% of consumers say they see “AI slop” often or very often in their feeds, and half of Gen Z have blocked, muted, or unfollowed a brand or creator because its content was low AI quality, according to Sprout Social’s Q1 2026 Pulse Survey. Keep a human to take an editing pass on anything you publish.
AI business ideas FAQ
How can I use AI to start a business?
You can use AI solutions at most stages of starting a business, beginning with the store itself. Shopify’s AI store builder generates a custom theme from a plain-language description of your products, and Sidekick drafts product descriptions and flags what to reorder once you’re live.
If you’re selling a service, AI tools do the client work itself. For example, an AI business tool can help you generate images, edit copy, analyze store data, automate workflows, or manage customer interactions.
Should I start an AI business?
The tools are available and startup costs are relatively low, making it more accessible to start your own AI business. In Shopify’s survey of entrepreneurs, 67% of US respondents said AI tools are making entrepreneurship more accessible, and service models in particular need very little capital upfront. The trade-off is that low barriers apply to everyone, including the clients you’d be selling to.
What’s the best AI business to start?
The best AI-based business idea depends on the skills and capital you already have. Selling services carries relatively low risk because it runs on your expertise rather than inventory or infrastructure you pay for before your first sale. If you’d rather build a product, an ecommerce store or custom software can serve more customers without a proportional increase in headcount, though both take longer to set up.
*Based on a November 2025 survey of 500 Shopify merchants conducted in English across Australia, Canada, the United Kingdom, Ireland, New Zealand, and the United States. Respondents were established merchants with two or more years on the platform. Results reflect the experiences of this specific sample and may not be representative of all merchants.












