When Jack Dorsey announced in late February that Block would cut more than 4,000 employees??early half its workforce??ith AI as the explicit rationale, the tech industry reacted with a mixture of skepticism and fascination. Dorsey had staked his company’s future on the premise that artificial intelligence could fundamentally restructure how a payments and commerce company operates. Now, three weeks later, Block is unveiling Managerbot, and it’s the most concrete evidence yet that this bet might actually work.
Managerbot, announced today and rolling out to Square sellers over the coming months, is a proactive AI agent embedded directly into the Square platform. Unlike a traditional chatbot that waits for questions, Managerbot monitors a seller’s business continuously, identifies emerging problems before they become crises, and proposes solutions??ll without the seller ever asking a single question.
From Reactive to Proactive: The Fundamental Shift
“The big shift from Square AI to Managerbot is really from reactive to proactive,” explained Willem Av?, Block’s head of product at Square, in an exclusive interview with VentureBeat. “What that means is the primary interface is not a question box. You assign tasks to Managerbot, and that could be based on data, an insight, or a signal from your business.”
This is a fundamentally different paradigm. Rather than serving as a sophisticated search engine for business data, Managerbot acts as an always-on business partner that anticipates needs. It watches inventory levels, monitors sales velocity, tracks weather patterns and local events, and generates insights that sellers would otherwise need to discover through experience??r miss entirely.
Three Domains Where Managerbot Excels
Block has focused Managerbot’s capabilities in three core areas that represent the most time-consuming aspects of running a small business:
Inventory Forecasting: Managerbot continuously monitors stock levels and sales velocity, then combines this data with external signals like weather forecasts and local event calendars to predict when items will run out. Sellers receive alerts before shortages occur, with enough lead time to reorder. “In warmer weather, we can see that you sell more of a certain good,” Av? explained. “That’s the forecasting capability, combined with local data??eather, events??o we can help sellers manage both their inventory and cash flows.”
Employee Shift Scheduling: Shift scheduling is what Av? calls “one of those interesting, very hard computer science problems” that consumes hours of a small business owner’s week. Managerbot analyzes forecasted sales data alongside employee preferences and availability, then generates optimized schedules that balance coverage needs with worker satisfaction. “It turns out that frontier models are actually pretty good at it,” Av? noted, with notable understatement.
Automated Marketing Campaigns: Perhaps the most impressive capability is Managerbot’s ability to identify sales trends across a seller’s entire product catalog and automatically draft marketing campaigns. If Managerbot detects that a particular product category is underperforming, it can draft a win-back campaign targeted at relevant customer segments. Early results show “very meaningful lift” compared to manually created campaigns, though Block declined to share specific metrics.
The Technical Architecture: Why Block’s Harness Matters
Managerbot runs on frontier AI models from OpenAI and Anthropic??pecifically referencing Anthropic’s Sonnet and GPT family. But Block’s competitive advantage isn’t the underlying models; it’s the “agent harness” the company has built around them.
This harness, which draws heavily from Goose, Block’s open-source agent framework, is what allows Managerbot to operate coherently across the hundreds of different tools and data sources that a Square seller might use. “This isn’t like, you know, you load a skill and call it a day??hink about hundreds of skills,” Av? said. “Actually, managing the context and managing the way that we progressively disclose tools, and some of the other innovation that we have at the harness layer, is I think some of the secret sauce.”
Safety First: The Human-in-the-Loop Design
Perhaps most notably, Managerbot never takes action autonomously on write operations. Every change??djusting a schedule, publishing a marketing campaign, modifying inventory levels??equires explicit seller approval. But Block has invested significantly in making the approval process frictionless and informative.
“We want to earn trust with sellers, so any write action is prompted to the user to approve,” Av? explained. “The seller needs a visual representation of what the change is. You can’t just describe in words all the time what you’re going to go do.”
Challenges and Open Questions
Despite the promising capabilities, significant questions remain. Block has not confirmed whether Managerbot will be included in existing Square subscriptions or priced as an add-on. The million fine Block received in January 2025 for BSA/AML violations related to Cash App adds a layer of regulatory scrutiny to any AI feature dealing with financial recommendations.
What seems clear is that Block is betting heavily on AI agents as the future of small business software. Managerbot is the most ambitious expression of that vision yet, and its success or failure will be closely watched across the industry.
For millions of Square sellers, the question is no longer whether AI will change how they run their businesses??t’s whether that change starts today.