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AI is still waiting for its VisiCalc moment

May 18, 2026  Twila Rosenbaum  6 views
AI is still waiting for its VisiCalc moment

The arrival of Claude for Small Business earlier this week marked an interesting moment—and a savvy strategic move—for Anthropic. Rather than saddling web browsers with more AI slop or trying to slather AI onto perfectly good user interfaces that don't need improving, Anthropic is attempting something both less flashy and potentially more fruitful: finding a practical, agentic AI-powered application for everyday business owners looking to make ends meet.

The bag of tricks included in Claude for Small Business is somewhat predictable, running the gamut from 'ready-to-run' agentic workflows to connectors for PayPal, QuickBooks, HubSpot, Canva, DocuSign, and more. With these tools, business owners can use Claude to help plan their payrolls, reconcile their books, analyze their cash flow, spin up promotional campaigns, and so forth. That's all well and good, but it also entails trusting Claude to perform those bookkeeping and promotional duties accurately and thoughtfully. Many small business owners will quite rightly balk at the prospect of handing their tried-and-true workflows to an unpredictable AI model, even one as powerful as Claude.

Small business users were equally hesitant about computers in general at the dawn of the PC age. Sure, an Apple II or a Commodore 64 could balance checkbooks and track inventories, but not much better or faster than a human could. Why bother coughing up $1,500 in unadjusted 1979 dollars for an Apple II that wasn't much better at bookkeeping than a person with an old-school ledger? Then as now, what was missing was a killer app—a game-changing application that takes a familiar task and transmutes it into something simple, elegant, and seemingly inevitable. What could that killer app be?

Back in 1979, the answer was VisiCalc, the very first computer spreadsheet. It was a brilliant tool that perfectly leveraged the power of the Apple II and later many other PC platforms. All of a sudden, small business owners weren't just tracking their expenses and revenue—they were forecasting them, all by changing a single number in a cell. Thanks to VisiCalc, which was later eclipsed by Lotus 1-2-3 and then Microsoft Excel, the $1,500 price tag for an Apple II looked like a bargain.

Today, we find ourselves in a similar pre-VisiCalc moment with AI. Yes, Claude Code is a killer app, but it's only killer for a narrow slice of users—programmers and developers. For the rest of us, AI remains an imperfect fit, like trying to use a socket wrench to slice a wedding cake. With Claude for Small Business and Claude Cowork, Anthropic is nibbling around the edges of what VisiCalc accomplished: finding a truly useful and unique application for AI that offers tangible value to small business owners—and, by extension, to everyday users everywhere. But trying to shoehorn the agentic AI abilities of Claude Code into the world of small business is, arguably, a dead end.

What makes AI terrific at crafting code—its endless creativity—is what makes it so worrisome when it comes to business. Yes, AI can build meticulously crafted spreadsheets and beautifully designed bar charts in seconds, but they're useless if you can't trust the data behind them. The key is harnessing AI's power in a different way, applying its strengths to the right applications while turning its flaws—especially its runaway creativity—into virtues. In short, AI needs a VisiCalc—a killer app that transforms ChatGPT, Claude, and Gemini from slot machines or slop dispensers into truly useful tools, ones that make the lives of everyday users, not just coders, tangibly better. All we have to do is find it. Easy, right?

To understand this challenge, it helps to look at the history of transformative technologies. The personal computer revolution was driven not by hardware alone but by software that solved real problems. VisiCalc didn't just digitize spreadsheets; it enabled dynamic modeling and what-if analysis that was impossible with paper ledgers. Similarly, the web's killer app was arguably email, which turned a research network into a global communication platform. More recently, smartphones found their killer app in the touchscreen interface combined with apps like Maps and messaging, making the device indispensable. AI has yet to find its equivalent—a use case so compelling that individuals and businesses feel they cannot live without it.

Current AI applications often fall into two camps: specialized tools like code generation or image synthesis that serve professionals, and broad chatbots like ChatGPT that offer general assistance but suffer from reliability issues. For a true killer app, AI needs to perform a common task with such efficiency and accuracy that it becomes the default method for that task. Consider accounting: if an AI could not only track expenses and revenue but also dynamically forecast cash flows, optimize tax strategies, and detect anomalies with near-perfect accuracy, it would become as essential as Excel once was. But today's models still hallucinate, make arithmetic mistakes, and lack the grounding in real-time data that such a role demands.

Anthropic's Claude for Small Business is a step in the right direction because it tries to integrate AI into existing workflows rather than replacing them wholesale. By connecting to QuickBooks, PayPal, HubSpot, and Canva, it positions itself as an assistant that can automate repetitive tasks like payroll calculations, invoice reconciliation, and campaign creation. However, the barrier remains trust. A business owner may use Claude to draft a promotional email but will still review it manually before sending. They might let Claude analyze cash flow but will double-check the numbers. This friction prevents AI from becoming truly seamless and indispensable.

To achieve a VisiCalc-like breakthrough, AI must solve a problem that is both universal and previously unsolvable by non-experts. One possibility is personalized financial planning. Imagine an AI that can ingest your bank statements, investment accounts, and spending habits, then generate a comprehensive financial plan with tax optimization, retirement projections, and risk analysis—all in minutes, with a level of accuracy that rivals a human certified financial planner. Such a tool would save thousands of dollars per year for average consumers and would become as essential as a calculator. Another potential is healthcare navigation: an AI that can interpret medical records, suggest second opinions, schedule appointments, and remind patients about medications and preventive care. The healthcare system is notoriously opaque; an AI that cuts through that complexity could be transformative.

Yet another domain is education and skill acquisition. The '80/20 prompt' mentioned in the original article is a clever shortcut: ask AI to identify the 20% of concepts that yield 80% of results in any subject. This is not a killer app per se, but if integrated into a learning platform that adapts to a user's knowledge level, it could make self-education vastly more efficient. Currently, most people rely on formal courses or YouTube tutorials; an AI tutor that serves up precisely the information you need when you need it, with hands-on exercises and real-time feedback, could revolutionize how we learn new skills.

The creativity of AI, which is a liability in business contexts, can be an asset in creative fields. For writers, designers, and musicians, AI can generate ideas, variations, and rough drafts that humans can then refine. But this is already being done; what is needed is a tool that integrates seamlessly into the creative process without imposing extra work. For instance, an AI that can take a rough sketch and instantly generate multiple photorealistic renderings with different lighting and materials, or a text-to-speech engine that can generate narration with perfect emotional inflection and pacing. These would be killer apps for specific industries but perhaps not for the general public.

Looking at the broader landscape, the lack of a universal killer app is why AI adoption has been slower than some pundits predicted. Big tech companies like Google, Microsoft, and Amazon are investing heavily in AI features that enhance existing products—like smart compose in Gmail or AI-powered search in Bing—but these are incremental improvements rather than paradigm shifts. Anthropic's Claude Cowork, which offers a collaborative workspace where humans and AI can edit documents together, is another effort to make AI more usable, but it still requires users to adapt their workflows.

History shows that killer apps often emerge unexpectedly. VisiCalc was created by Dan Bricklin and Bob Frankston, not by Apple. The first web browser, Mosaic, was developed by students at the University of Illinois. Instagram began as a check-in app before pivoting to photos. So it's entirely possible that the AI killer app will come from a startup that reimagines a mundane task in a way that harnesses AI's unique capabilities while mitigating its weaknesses. Could that be an AI that automates tax filing? A personal assistant that coordinates all your appointments and travel? A tool that translates legal jargon into plain English? The potential is vast.

Until then, AI remains in a pre-VisiCalc limbo: powerful but not essential, clever but not trustworthy, omnipresent but not indispensable. The search for that one application continues, and it will likely define the next decade of technology. For now, the industry must focus on building reliability into AI models, because without trust, even the best ideas will fail to gain traction. Anthropic's Claude for Small Business is a noble experiment, but it is a step, not the leap. The VisiCalc of AI is out there; all it takes is the right insight to bring it to life.


Source: PCWorld News


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