Google’s expanding AI ecosystem raises a consequential question about the future of small-business access.
By Mollie Barnett, Founder & Decision Architect™, State & Signal
I recently went looking for a plumber.
I knew which business I wanted: Ashley Laughlin Plumbing.
But getting to the company I’d deliberately chosen was harder than it should have been. Google’s results kept putting other businesses in my path.
I wasn’t asking the search engine to make a recommendation. I’d already made my decision.
That experience stayed with me because it revealed something important about the systems we depend on to find local businesses.
Even when customers know whom they want, the platforms connecting them to that business can influence the journey.
Now artificial intelligence is creating the possibility of something more consequential.
What happens when AI doesn’t just influence which businesses we discover, but increasingly participates in deciding where we spend our money?
Google Is Moving Beyond Search
On October 28, 2026, Google announced a new Connected Apps Platform designed to allow developers to make services available across Google Search and Gemini through a unified integration system.
The platform uses technologies including the Model Context Protocol, or MCP, to connect AI applications with external services and approved actions.
Google says more than 50 connected applications are available across Search and Gemini, with additional developers and services being introduced in phases.
This isn’t the first time AI has connected to business applications. Those capabilities have been developing for some time.
What matters is the direction of the architecture.
Google is making it easier for AI assistants to move beyond presenting information and toward interacting with services, completing tasks, and facilitating transactions.
Think about the difference.
Today, someone might search for a plumber, compare options, visit a website, and call for an appointment.
In an increasingly agent-mediated environment, that same person could ask an AI assistant to find an appropriate plumber and schedule the visit.
The assistant might check availability, review pricing, and initiate the booking through an integrated service.
The customer has delegated part of the process.
But who determines which businesses the system can interact with?
And what happens to those it cannot?
The Risk of Becoming Invisible to the Transaction
Imagine two plumbing companies.
One is a well-established independent business with excellent local relationships and experienced technicians.
The other belongs to a large national service platform with extensive technical integrations.
Both may be qualified to do the work.
But suppose an AI assistant can immediately access pricing, availability, and scheduling through the national platform while having no equivalent transactional access to the independent business.
Which company becomes easier for the system to use?
The danger is that technical connectivity could begin influencing commercial opportunity.
Not necessarily because the connected company is better.
Not necessarily because the independent company has done anything wrong.
But because one business is more accessible to the system executing the customer’s request.
This is a potential risk, not a documented outcome of Google’s new platform. Google has not established that connected applications receive preferential organic recommendations or that independent businesses are excluded.
Its Connected Apps documentation also provides ways for users to deliberately invoke connected services by name.
Nevertheless, the economic question deserves serious attention.
Could the ability to transact with an AI system become a competitive advantage that has little to do with the actual quality of the business?
And if so, who ensures that qualified independent businesses retain a fair opportunity to compete?
Why This Matters to the Small-Business Economy
According to the U.S. Small Business Administration’s February 2026 figures, America has approximately 36.2 million small businesses.
They account for 43.5% of U.S. GDP and employ 45.9% of private-sector workers.
Those figures represent far more than an economic category.
They represent local employers, independent professionals, family businesses, tradespeople, restaurants, service providers, and the relationships that hold communities together.
Small businesses often compete through advantages that aren’t easily captured by a simple price comparison.
Local knowledge. Personal accountability. Specialized expertise. Responsiveness. Long-standing relationships.
An independent contractor may understand the needs of a neighborhood better than a national provider.
A local professional may deliver a service tailored to an individual rather than a standardized offering.
Those differences matter to customers.
But they matter only if the customer has an opportunity to consider them.
As AI systems increasingly participate in commercial decisions, we need to understand whether those advantages remain visible and usable.
Otherwise, we risk creating a new kind of market disadvantage.
A business could be qualified, reputable, and highly valued by its customers—yet increasingly difficult for automated systems to engage.
That is a different problem from being poorly ranked in search.
It is a problem of access to the transaction itself.
Who Controls the Customer Relationship?
There’s another layer to this development.
Suppose an AI assistant introduces a customer to a business, helps compare options, and initiates a transaction.
Who owns the resulting relationship?
Does the business establish a direct connection with the customer?
Can it preserve customer preferences, transaction history, and service information?
Can it serve that same customer independently of the AI platform?
Or does the intermediary become increasingly important to every subsequent interaction?
The answers will depend on how individual platforms, applications, and businesses structure their integrations and agreements.
But the distinction is fundamental.
Businesses shouldn’t confuse access to a platform’s customers with ownership of their own customer relationships.
The same principle applies to their business intelligence.
Customer knowledge, operating procedures, service standards, and the rules governing decisions are assets an organization should retain control over regardless of which technology it uses.
Own the intelligence. Hedge the technology.
That’s not an argument against AI integration.
It’s an argument for approaching integration as a strategic decision rather than simply another technology purchase.
What Small Businesses Can Do
The response cannot be to expect every independent business to develop its own AI infrastructure.
Most cannot. Nor should they have to.
Google’s use of more standardized integration protocols could make participation easier for smaller software developers and technology providers. That is one potential benefit of the new architecture.
But technical standards alone don’t resolve every question of commercial access.
Small businesses need to approach the transition on two levels.
- 1. First, they need to become easier for AI systems to understand and, where appropriate, interact with.
That begins with accurate business information, clear service descriptions, reliable digital systems, and technology partners capable of supporting emerging transaction methods.
A local plumber shouldn’t need to become an AI developer to remain competitive. But the scheduling or business-management software the plumber already uses may eventually become an important route into AI-mediated services.
- Second, small businesses need collective representation.
Chambers of commerce, industry associations, and small-business advocacy organizations have an important opportunity to establish expectations before commercial practices become entrenched.
Those expectations should include fair access, reasonable participation requirements, transparent commercial terms, interoperable technologies, and protections for business and customer data.
We should also be asking how platforms determine which providers are presented, which services are invoked, and what role commercial relationships play in those decisions.
These questions matter to consumers as much as businesses.
A system that narrows the marketplace to what is easiest for the platform to transact with may not always deliver the best choice for the person making the request.
The Leadership Decision
This is where the conversation needs to move beyond AI tools.
Organizations must decide what information they are prepared to expose, what actions AI may perform, which decisions require human involvement, and how they will preserve their independence.
Those are decisions about organizational architecture.
The technology may provide a connection - it cannot determine on its own what the organization should be willing to surrender in exchange for that connection.
For small businesses, the challenge is particularly difficult because the technology is changing faster than most owners can reasonably evaluate it.
Yet waiting until customer behavior has fundamentally shifted may leave them with fewer options.
The practical response is to participate where it creates value, preserve control over essential business assets, and use collective advocacy to protect fair market access.
The Economy We Choose to Build
AI has the potential to make commerce more accessible, convenient, and efficient.
It could help customers discover excellent independent businesses they might otherwise overlook.
It could help small businesses compete beyond the limits of their advertising budgets.
And standardized connections could reduce some of the technical barriers that have historically favored larger organizations.
Those are opportunities worth pursuing.
But they aren’t guaranteed outcomes.
The architecture of AI-mediated commerce will influence which opportunities become available, which organizations can participate, and how economic value is distributed.
That makes the design of these systems a question of economic participation—not simply technological innovation.
Small businesses may never outspend the companies building the next generation of AI platforms but they can participate, organize, and advocate for systems that preserve their ability to compete.
They can also protect their customer relationships, their intelligence, and the distinctive value that makes them worth choosing.
Because joining the new economy shouldn’t require surrendering control of your business.
And an AI assistant should help customers find the right provider—not merely the provider that’s easiest for the system to reach.
The question isn’t whether AI should make commerce easier. It should.
The question is whether we’re building an economy where every qualified business has a fair opportunity to be chosen—or one where participation depends on gaining access to the platforms controlling the transaction.
About the Author
Mollie W. Barnett is the founder of State & Signal and a Decision Architect™ focused on helping organizations understand their systems, preserve their intelligence, and make better decisions in the AI era.
Follow Mollie on LinkedIn: https://www.linkedin.com/in/molliebarnett
Researched and edited with the help of Artificial Intelligence.