A customer sends a WhatsApp message to a local store asking about a product. You’ll receive your answer within seconds.
The product they are looking for is in stock. If not, alternatives are recommended.
Welcome to the next generation of customer service bots and the latest battleground between the world’s biggest technology companies.
Big tech companies are now pouring billions of dollars into artificial intelligence (AI) agents, systems that can make autonomous decisions and perform tasks. The global market value for agent AI is projected to increase from USD 10.9 billion in 2026 to USD 182.9 billion by 2033.
At its annual Conversations conference in London this month, Meta unveiled Business Agent, an AI system that can answer customer questions, identify sales leads, manage bookings and process transactions directly within platforms such as WhatsApp.
Its appeal is clear for small and medium-sized businesses that lack the staff and resources to provide 24-hour customer support. Larger organizations can integrate this technology into their existing sales, reservations, and customer management systems.
Meta’s move may seem like a natural progression after spending two decades reshaping the advertising industry. But there’s more at stake than another tech giant automating customer service.
Shift attention to transactions
Most of us know Meta as the conglomerate behind social media platforms Facebook, WhatsApp, Messenger, and Instagram.
But Mark Zuckerberg’s business, which generated $200 billion in revenue last year, has long been built around advertising. At the end of the day, it’s about understanding your audience, capturing their attention, and selling businesses the opportunity to deliver the right message to the right people at the right time.
Meta’s business agents transition your company at the moment of a transaction following an ad, click, or message.
Customers are already asking themselves what to buy, make a reservation, and how to solve a problem.
This means meta has started to seek a place within the customer relationship itself, whether it’s answering questions, presenting options, organizing follow-ups, or helping shoppers take the next step.
It also explains why AI agents are such a hotly contested topic for tech companies. Google, Amazon, Microsoft, OpenAI, Meta, etc. all started in very different parts of the market, but increasingly, their ambitions are all converging here.
Microsoft and Amazon Web Services are leveraging their massive cloud infrastructure to embed autonomous agents directly into existing enterprise resource planning and customer relationship management software, such as Dynamics 365.
OpenAI is actively promoting a custom-built multi-agent framework that enables enterprises to deploy customized “GPTs” to handle complex cross-functional operations.
Google, on the other hand, is integrating agent functionality directly into its main search and workspace tools, with the aim of capturing user intent before they leave the browser’s search bar.
Meta’s route seems particularly logical since many of these interactions already occur on messaging platforms.
Think of a restaurant that accepts reservations through WhatsApp or a fashion label that can handle product inquiries through Instagram. In the case of Meta, its agents can transform these exchanges into more fully automated commercial channels.
Who really wins?
For small businesses, the benefits are clear. AI agents can build their own sophisticated customer service systems, providing capabilities once reserved for banks, airlines, and other large organizations.
It answers routine questions, remembers product details, and speaks multiple languages, allowing staff to focus on tasks that require human judgment, such as handling complaints.
But convenience comes with a trade-off.
The more useful an AI agent becomes, the more influence it will have on the interaction itself. It helps customers decide what information they receive, which products are recommended, and the steps they take from inquiry to purchase.
At the same time, every interaction provides platform owners with valuable insight into what their customers want, where their hesitations are, and what will ultimately drive sales.
For many companies, that may seem like a fair exchange. However, over time, the balance of power can begin to shift.
As more customer interactions are mediated by AI, companies risk becoming increasingly reliant on platforms they don’t control.
Customers, on the other hand, may enjoy faster responses and a more seamless experience. The role these platforms play in shaping these interactions, and the commercial value they derive from them, is less visible.
It remains to be seen how much impact AI agents will have on global commerce. But early signs suggest it’s about more than just automating customer service.
The shift in power from companies that own products and services to platforms that increasingly mediate the relationships on which those companies depend is likely to accelerate.
