
AI now works like a team you can hand tasks to. For small and midsize businesses (SMBs), the biggest gain is access to supply chain power that used to belong only to big companies. Accio (Alibaba.com, part of Alibaba Group, BABA) is built to help SMBs source products globally, run their storefronts, and manage the business. It is the first AI workspace built for e-commerce.
What AI takes off the plate
The focus is repetitive work. Sourcing normally runs like this: start from an idea, make design packs, talk to dozens of suppliers, then pick one. That usually takes months. With AI it can happen in hours or days. Sellers also list the same product across many platforms, manage those listings, handle customer support, and track data to see if they made money. AI can handle all of it.
Lower cost than rivals
A benchmark shown at Co-Create had Accio finish 107 commerce tasks at more than 50% below the estimated cost of OpenAI's Codex and Anthropic's Claude Code. The method comes from a formula: agent equals model times harness times context. Different tasks get routed to different models, so the best and most cost-efficient model handles each job. Heavy work went into tools and context management to deliver reliable results at low cost. Affordable AI matters because SMBs have small budgets and depend on the agent for daily work.
Keeping humans in control
Trust comes from setting boundaries. AI gives recommendations and can negotiate with suppliers, but the final choice of which partner to work with stays with the human. When payment happens, a person confirms the terms, contract, and agreed price, then decides to proceed or not. Critical decisions belong to the human. AI does not take everything.
Measuring return
Whether a business counts as successful depends on the owner. Some optimize for margin, others for scale (how much product they sell). The owner sets the goals. AI helps by giving access to a wider supply chain network, tools and expertise the owner lacks, better daily efficiency, and warnings about mistakes before they happen. The ultimate measure is revenue per person. If AI raises revenue per person, that is a real win.
A solo founder running a global business
This is already happening. Last year Co-Create Pitch (a Shark Tank-style contest) produced two champions. The US winner was Recon Tools, run by Christian Reed, who has a small team and an idea to improve tools for construction. With AI and Alibaba.com's global supply chain, he built a large business. His customer list includes SpaceX and Schneider. A small team can build a big business without a big company behind it.
From B2B to A2A
The next shift is B2B moving to A2A, agent to agent. One agent represents the buyer, another represents the supplier, and they negotiate and transact directly. This makes trade faster and more efficient. It lets smaller firms like Recon Tools compete against companies that used to hold far more resources.
Helping SMBs reach the level of big companies is the goal behind all this technology, including the internet and today's AI agents. Ahead: more SMBs joining global trade and global competition. Resources stop being the limit; a good idea, plus tools and supply chains, can turn that idea into a product and reach the global market.
What still belongs to the founder
Even as agents handle discovery, negotiation, and transactions under the owner's control, the human parts stay decisive. The entrepreneur must define the problem to solve. The idea must be solid. The competition in AI is global, but the value created stays local: someone spots a problem in their own area, builds a business, and uses AI and the supply chain to solve it. Core questions remain human: Is the problem real? Can it scale to more people? How do you control the business at the start, during growth, and at maturity? That kind of entrepreneurship is still rare and still decides whether a business succeeds. The platform supplies the tools, supply chains, and automation; defining success stays with the person.


