AI Hype in Business: Have We Reached the Tipping Point?
AI hype in business has reached a new peak, as evidenced by the S-1 IPO filing of the American submarine sandwich chain Jersey Mike's. The document reveals that the term "artificial intelligence" (AI) is mentioned no fewer than 22 times. This phenomenon highlights the immense pressure exerted on traditional companies to showcase "AI fairy dust" to attract investors, even when there is no real technological justification for it.
What is AI Hype in Business?
AI hype in business refers to a phenomenon where companies—including those in entirely traditional brick-and-mortar sectors like retail and fast food—exaggerate their use of AI technologies to boost their valuations in the eyes of investors. In a business context, companies integrate references to artificial intelligence in investor pitches and official prospectuses, often without any actual technological infrastructure or clear practical value. A prime example is a physical sandwich-making company declaring AI technology risks in its IPO prospectus. According to recently published research data, over 40% of companies globally that claim to use AI do not actually possess or utilize the technology in practice.
The Data Behind Jersey Mike's IPO Prospectus
According to a report by Julie Bort (Venture Editor at TechCrunch), the popular submarine sandwich chain Jersey Mike’s recently filed its S-1 documentation in preparation for an initial public offering (IPO). A close examination of the filing reveals that the word "Software" is mentioned 52 times, "Data" appears 112 times, while "AI" or "artificial intelligence" is listed no fewer than 22 times. The company, widely recognized by its public face, actor Danny DeVito, does not sell software or technological solutions—it sells completely physical sandwiches. The numerous mentions of AI are primarily tucked away inside boilerplate investor-risk warnings, stating that the company is "beginning to use AI Technologies in our business." Integrating these mentions is mostly designed to quench investors' thirst for anything smelling of technological progress, even when the actual connection is paper-thin.
To illustrate how absurd this trend has become, Julie Bort points out that weather—a tangible threat to the chain's physical locations—is mentioned only 5 times in the S-1. Lightning strikes, which amazingly did strike and physically damage a Texas branch in 2021, are not mentioned even once. This contrast highlights the distortion created by AI hype in business, where companies feel compelled to address abstract technology at the expense of focusing on everyday physical and operational risks. Within this context, businesses looking to make a real operational leap rather than just a declarative one are increasingly turning to business automation fields that deliver measurable and immediate value.
The Broader Context: From the Dot-Com Bubble to Today's AI Warnings
The attempt to dress traditional businesses in advanced technological garments is not new, but today it is reaching a boiling point. Legacy tech companies and venture capital firms are pushing corporations to showcase a comprehensive AI vision to justify high market valuations. Companies like Bending Spoons (an Italian tech company specializing in acquiring and rehabilitating legacy software companies) are capitalizing on this wave to build their public brand.
However, past attempts by retail and food giants to deploy AI systems without proper preparation have ended in failure. A prominent example is Starbucks (the international coffee chain), which launched an AI-driven inventory management tool. The system suffered from severe issues, failing to calculate inventory quantities accurately, and was recently scrapped entirely. According to a comprehensive report by McKinsey (the global strategic consulting firm McKinsey), approximately 70% of digital transformation projects that are not managed correctly fail due to the gap between hype promises and actual on-the-ground implementation capabilities.
Implications for Businesses in Israel
From the perspective of Israeli businesses, this trend carries a highly important lesson. While giant corporations in the US use AI as a marketing tool for capital raising on the stock market, small and medium-sized businesses in Israel need to focus on practical applications that yield bottom-line results. Traditional industries in Israel—such as retail chains, law firms, insurance agencies, and medical clinics—do not need "AI fairy dust" to impress investors. Instead, they require genuine tools that streamline daily workflows, such as a smart CRM system solution that enables efficient customer management and prevents lead leakage.
Furthermore, privacy regulations in Israel and the rules enforced by the Israel Privacy Protection Authority impose strict demands on how customer data is processed in automated systems. Israeli businesses rushing to declare their use of artificial intelligence could find themselves exposed to lawsuits or administrative fines if they fail to implement these tools while strictly adhering to the Protection of Privacy Law.
What to Do Now: How to Avoid the Hype and Deliver Real Value
To avoid falling into the trap of business AI hype, we recommend taking the following practical steps:
- Focus on real problems, not trends: Do not look for places to integrate AI just because everyone is talking about it. Define your operational bottlenecks—for example, excessively long customer response times on WhatsApp or data loss between different software systems.
- Prioritize stable automation over complex models: In many cases, implementing an automation platform like N8N (the open-source automation platform N8N) to bridge your CRM and inventory management systems will provide a far more reliable solution than trying to develop a custom AI model from scratch.
- Run a controlled and measurable pilot: If you decide to integrate advanced solutions, start with a focused pilot on a small user group. Define clear Key Performance Indicators (KPIs), such as reducing ticket handling time from 4 minutes to 30 seconds, and evaluate the results objectively.
- Maintain data security and regulatory compliance: Ensure that any technological tool you connect to your company's databases complies with security requirements and holds the necessary certifications to prevent leaks of sensitive customer information.
Looking Ahead
The business AI hype may eventually fade, but the technology itself is here to stay. Global stock market investors will ultimately sober up and demand profitability and tangible value rather than sophisticated PR promises. For businesses looking to progress the right way, combining N8N-based automation systems with highly focused AI tools is the safest path to achieving real efficiency. It is highly recommended to focus on building a robust, stable, and secure digital infrastructure that will serve your business for the long haul, rather than chasing fleeting headlines.