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Highlights
- The US AI Investment capex hits $579B, outpacing global ex-US at $436B.
- US public companies alone account for a massive $519B in AI-exposed capex.
- Global ex-US public investment reaches $372B, showing AI spending is far from a US-only story.
- Private capital is smaller but growing, with $36B in the US and $64B globally ex-US.
- Public capital clearly dominates AI investment, driving the biggest share of spending across both markets.
AI has proven itself a useful tool for small business growth. AI investment has helped SMBs across the U.S. and worldwide automate tasks.
AI technology has enabled startups to meet operational demand that would have required several teams. AI has also helped business budget decisions by streamlining data-heavy activities. With news headlines reporting AI investment reaching $1T in 2026 alone, it’s time to see whether you’re on the right track.
According to the Small Business Expo Research Team, 4 out of 5 business owners say that AI is more useful to them now. So, let’s take a closer look at what kinds of AI technology and tools can improve your small business expenses.
AI Investment Is Becoming Significant in Business Budgets
Source: Al Jazeera and Stanford HAI
In 2026, AI is poised to be a significant investment opportunity for businesses. Spending by the world’s biggest tech companies offers a glimpse into the rapid growth of AI infrastructure.
According to Goldman Sachs Research, AI investment could represent 1.8% of U.S. GDP in 2026, 2.5% in 2027, and 2.8% in 2028. Worldwide, the share of GDP invested in AI is expected to grow from 0.9% in 2026 to 1.4% in 2028.
The investments needed for this expansion are tremendous. Total spending on data centers and infrastructure by major cloud and technology players is estimated at about $750 billion in 2026. Their total investment in AI could reach $5 trillion over the next 4 years, according to some estimates.
The perspective for small businesses is more down-to-earth. With smaller budgets, owners are looking for opportunities where AI can address a specific business challenge, reduce repetitive tasks, or deliver tangible growth.
Examples of AI investments include acquiring AI software, automation tools, customer support platforms, data systems, and marketing applications. As AI technology becomes more accessible, these investments are becoming more common in small business budgets.
AI Investment In Entrepreneurship’s Largest Components
The AI boom involves far more than the applications you interact with on a screen. Every AI-powered app comes with a wider tech stack that includes hardware, data, cloud infrastructure, software, applications, and research. Business owners across industries are investing heavily in AI for many uses throughout their operations.
This stack can help small business owners make informed choices about how to allocate their business budget. Understanding what lies behind the AI tools you’re using helps you assess their ability to meet business goals, value, and budget.
1. Computer hardware – The foundation of AI
AI systems need huge computing power for their information processing and model building. Semiconductors, processors, memory, and specialized chips provide that support.
This layer typically shows up for small businesses indirectly. Accessing AI doesn’t require specialized hardware; you can use a cloud platform or software subscription. Hardware requirements may, however, affect the speed, capabilities, and price of the AI services you use.
A key budget consideration is choosing an AI platform and considering the computing power and functionality included with your subscription.
2. Data storage and compute – What AI needs
AI systems need a place to store information and enough computing power to process it. From training AI models to running daily AI applications, data storage and compute infrastructure is essential.
This could apply to an SMB when AI systems interact with customer data, sales data, inventory data, documents, or other business data. The quantity and quality of the data you process may affect how it works and how much it costs.
3. Cloud services – Accessing AI without building infrastructure
This is especially important for small businesses, where the owner can use high-tech tools without buying and managing complicated hardware.
Cloud-based AI can improve analytics, automation, customer service, collaboration, marketing, and more. Generally, as businesses develop and grow, they can adapt their use to meet their requirements.
4. AI and data processing software – Making data useful
This layer includes software that handles data and runs AI models for specific tasks. This is where AI can really help the business.
On various platforms, AI can help businesses analyze sales data, detect trends, summarize content, predict sales trends, categorize documents, or provide recommendations. This layer can help a small business owner avoid doing a ton of manual analysis or work that would otherwise require a small team.
5. AI applications – Making the technology a part of everyday work
Applications are the layer that business owners interact with the most. These include AI-powered marketing platforms, customer service tools, accounting systems, sales software, productivity platforms, design applications, and industry-specific solutions.
That’s where an AI investment can be a realistic small-business cost.
For instance, an owner might rely on AI to create marketing materials, interpret client comments, sort through sales details, address common inquiries, summarize conference discussions, or automate paperwork.
6. AI-powered products and services – AI becomes part of existing tools
AI is also being introduced into existing business products/services. Adopting AI is becoming more common in several collaboration tools, social media tools, advertising systems, eCommerce platforms, cybersecurity products, CRM applications, and more.
This matters because businesses may already be able to access these helpful AI tools without buying a new AI platform.
For instance, an AI-powered marketing platform could help generate marketing campaigns, while an AI-driven customer relationship management system could analyze customer interactions and pinpoint potential sales opportunities.
7. Enterprise collaboration and digital platforms: Connecting AI to teams
AI can enhance team communication, collaboration, and information management. AI-powered collaboration tools can summarize meetings, organize documents, search for information, and automate repetitive tasks, helping businesses improve communication efficiency.
So, assess how AI can remove repetitive administrative tasks from calendars and free up time for profit-generating activities.
8. Marketing, social media, and customer engagement
AI plays a bigger role in digital marketing. AI tools generate content, track social media, manage social media ads, research and analyze audiences, and support customer engagement.
This gives a smaller marketing team access to features that otherwise would be available only to a larger marketing team or an expert.
For example, an SMB could use AI to generate initial content ideas, track the success of its social media campaigns, or plan social media events.
9. Robotics and automation: Taking AI into the physical world
AI investment isn’t confined to digital work alone. AI is applied to robotics and autonomous systems to process and act on sensor data in real time.
Rather than advanced robotics being something many small businesses need right now, automation is increasingly applicable in different sectors. Automated systems can be used in warehouses, manufacturing, retail, restaurants, and other enterprises for inventory, production, and logistics, and for repetitive physical work.
10. Research and AI models: Building the technology behind the tools
The bottom of the AI stack includes researchers, labs, and companies working on the models and technologies themselves. They shape future AI features that will be integrated into business applications.
AI use is evolving rapidly, and this layer drives much of that change. Eventually, improvements in models, computing, data processing, and research may filter through to the software businesses use daily.
AI Stack Overview
Though mega corporations worldwide are investing heavily in AI technology, as a small business owner, you only need a few amazing ones to help you in the long run. Here’s a brief overview of the different kinds of AI tools you can explore or upgrade to.
| Business Area | AI Tools (Integrated and Stand-Alone) |
| Customer Service | Intercom, Zendesk AI, Freshdesk, HubSpot |
| Marketing and Content | ChatGPT, Claude, Gemini, Canva Magic Studio |
| Sales and CRM | Salesforce, HubSpot, Zoho, Einstein |
| Social Media Management | Hootsuite, Sprout Social, Buffer, Ocoya |
| Collaboration and Productivity | Google, Notion, Airtable, Slack |
| BI and Data Analytics | Tableau, Microsoft Power BI, ChatGPT |
| Cloud Computing | Google, Microsoft, AWS |
| Accounting and Finance | Zapier, QuickBooks, Zoho, Xero |
| eCommerce | Shopify Magic, Gorgias, Adobe Commerce |
| Workflow Automation | Zapier, Make, Microsoft Power Automate, n8n |
| Inventory and Operations | Shopify, NetSuite, Cin7, Katana |
| Design and Visual Content | Canva Magic Studio, Adobe Firefly, ChatGPT, Runway |
| Cybersecurity | Microsoft Defender, CrowdStrike Falcon, SentinelOne, Google Security Operations |
| Research and AI Model Development | OpenAI, Google DeepMind, Anthropic, Meta AI |
| Digital Assets and Blockchain | Chainalysis, Coinbase analytics tools, Elliptic |
| Robotics and Physical Automation | NVIDIA robotics platforms, ABB robotics solutions, UiPath for software automation |
How to Invest in AI?
Source: The 2026 AI Index Report
Entrepreneurs and small business owners can invest in AI through stocks and EFTs, while others may invest in a specific component of AI-based services. Here are common ways to invest in AI.
Investing through individual stocks
Specific stocks enable you to focus on a particular part of the AI product. This could include AI software vendors, cybersecurity companies, data centers, cloud infrastructure companies, or AI model developers, depending on the investment strategy. The following are the key factors –
- C3.ai creates enterprise AI software that enables organizations to build and deploy AI applications across industries.
- Palantir offers tools and platforms that use artificial intelligence to analyze massive amounts of data and automate decisions.
- CoreWeave provides cloud infrastructure and computing power for AI workloads, built on NVIDIA GPUs for AI training and inference.
This gives you more control over the companies or segments you invest in. It also implies that your investment is more susceptible to the performance of specific companies and/or particular segments of the AI sector.
AI is evolving quickly, and businesses with strong demand now may face new competition, evolving technology, or shifts in customer preferences later. Before investing, consider how one AI firm or the AI industry could affect your overall portfolio.
Use ETFs and funds to invest
Instead of picking individual companies, you can invest in AI growth through exchange-traded funds (ETFs). The AI-focused ETF can include companies in various segments of the AI industry, including semiconductor manufacturers, cloud service providers, software developers, robotics companies, and data infrastructure providers.
This can give you more exposure than buying a single stock. Some funds may also include companies that use AI in their current solutions and products but don’t create AI themselves. If investors want AI exposure without the risk of investing in a single company, ETFs may be an option.
Ensure that AI investing aligns with your overall investing strategy
There are considerable opportunities as well as risks associated with AI investments. However, the tech can evolve rapidly, valuations can shift, and the companies that are thriving in the current AI craze could also shift as the market matures.
When investing, consider your time horizon, diversification, risk tolerance, and the percentage of your portfolio you want in AI. A financial professional may also take time to consider the various aspects of your financial plan in relation to investing in AI.
Good AI Investment Starts with Business Cash Management
Before making your next AI investment, make sure your business cash management is efficient. Tools like QuickBooks Online Payroll can handle payroll and tax automation and reporting, filing, direct deposit, and more. ADP offers payroll services and customized recommendations based on a business’s requirements.
In addition to payroll, accounting software can track receipts and payments, invoices, and future transactions in one place. Set spending targets, track regular small business expenses, and keep a buffer for unforeseen costs. Include subscription fees and usage charges in your business budget when investing in AI, and regularly evaluate their value.
Final Takeaway
As a small business owner, smart AI investment can give you the boost you need to reach a wider audience.
One thing has become clearer: AI investment and its effectiveness depend entirely on the team’s knowledge and expertise. So, whether you’re thinking of investing in stocks, ETFs, or exploring AI tools, now is the time to get proactive.
If your business specializes in AI capabilities and you’re searching for a great place to start, it doesn’t get better than exhibiting at the biggest B2B networking event in America.
Frequently Asked Questions on Business Investment and AI
Do small businesses have increasing or decreasing marketing budgets?
It varies according to the company. Cost control and visibility remain high priorities for many small businesses still focusing on marketing, especially digital channels.
What impact is AI having on small business investments?
Small businesses are looking to invest in technologies that boost productivity, customer service, marketing, data analysis, and other efficiency-enhancing areas that AI-assisted automation can support.
Do small business owners feel more comfortable taking a financial risk this year?
In general, owners appear to need to be selective, prefer predictable investments likely to yield a positive return, and avoid risky, unpredictable expenses.
What’s the overall economic outlook shaping these investment decisions?
Overall, economic uncertainty is driving small businesses to hold onto cash, manage spending, and focus on investments that strengthen the business’s resilience and sustainable growth.
Where can I get more information about AI tools?
For reliable information on current tools, their use, and strategies, attend a business event near you to get tips on using the technology in the best way for your business.
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