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AI Business Summaries: What CEOs Need to Know
Is AI Overhyped?
Andrew Fox
March 01, 2025
Welcome to AI Business Summaries, where we break down the most important trends and news shaping the Business AI world.
Today, we pose to you a big question, is AI overhyped?
We will find out pretty soon.
But first, do you want to know where AI is hidden in your mobile phone? Check out Now Secure to see discover the specific risks Ai is bringing to your enterprise!
CISOs are being asked to provide guardrails and governance over the use of AI inside their organizations, whether it's for applications they're building for external customers or for apps used by their workforce. But the reality is AI is being embedded into all sorts of applications, often without the awareness of the users. This is particularly complicated in mobile applications which are often 60-70% composed of 3rd party SDKs. Though these vulnerabilities come from the app supply chain, organizations are still liable for privacy, security, or regulatory issues that arise as a result of this shadow AI. For example, if an employee is using an app that summarizes their work email by sending the content of email to an external LLM API, now sensitive corporate data has become embedded in the training data of this LLM, which can now be exposed by clever bad actors. NowSecure has launched a solution for security teams to detect undeclared/shadow AI in the mobile applications their organizations use or build. Because the first step to AI governance is discovery of how and where AI is being used.
Where Is AI Making Real Impact in Your Business Today?
By now, you know it, AI is no longer about chatbots and image generators alone, it’s now powering critical business functions across industries.
AI is already helping businesses work faster, stay secure, and process information more efficiently. Here are some of the most valuable ways AI is being used today:
Speech-to-text & text-to-speech
AI is making communication easier by converting speech into text and vice versa. This is widely used in customer service, voice assistants, accessibility tools, and automated transcription for meetings and interviews.
Image recognition & authentication
AI can verify identity through facial recognition, fingerprint scanning, and voice authentication, improving security for banking, workplace access, and digital services.
Image-to-text (OCR) & data extraction
AI can read and pull text from images, PDFs, and scanned documents, making it easier to process invoices, contracts, receipts, and business reports without manual entry.
Spam, phishing, and fraud detection
AI helps block cyber threats by filtering out spam emails, detecting phishing scams, and identifying fraudulent transactions before they cause harm.
Security threat analysis
AI scans networks, emails, and databases for suspicious behavior, helping companies prevent hacks and data breaches before they happen.
Pattern recognition in data
AI is used in finance, business, law, medicine, and engineering to detect trends, predict risks, and automate decision-making. For example, AI can analyze financial transactions to detect fraud or help doctors identify early signs of diseases.
Programmer assistance & code generation
AI speeds up software development by suggesting code, fixing errors, and automating repetitive tasks. It’s especially useful for UI design, debugging, and improving productivity for developers.
Marketing & content creation
AI can generate brochures, websites, email campaigns, social media posts, and advertisements. But too much AI-generated content can feel generic and robotic, customers can often tell when content lacks a human touch.
These are great! But What’s the most exciting AI use case?
AI’s real power comes when it moves beyond just analyzing data and starts taking actions, this includes:
AI-driven workflows that automate entire business processes.
AI agents that can operate semi-autonomously to complete tasks.
Because here’s the reality, fully autonomous AI agents are still far from reality.
It’s like self-driving cars, progress is happening, but the hype is ahead of the technology.
Think about it…
The hype is UP. Right now, Wall Street & The Big Tech are throwing money at AI, just like past tech booms in optical fiber and real estate.
But real progress happens AFTER the hype fades, when engineers get back to work without pressure to impress investors.
The AI breakthroughs that will shape the next decade starts when the HARDER problems are being solved as claimed in mainstream outlets, the issue of autonomy inclusive.
To sum it up;
The smartphone story isn’t over yet…
Uber did it to taxis, Airbnb to hotels, & now Mode is doing it to the $500B smartphone industry.
They’ve turned smartphones from an expense into an income stream - don’t miss your chance to invest.
*Mode Mobile recently received their ticker reservation with Nasdaq ($MODE), indicating an intent to IPO in the next 24 months. An intent to IPO is no guarantee that an actual IPO will occur.
*The Deloitte rankings are based on submitted applications and public company database research, with winners selected based on their fiscal-year revenue growth percentage over a three-year period.
*Please read the offering circular and related risks at invest.modemobile.com.
AI is already transforming industries, from security and fraud detection to marketing and software development.
The most exciting area is AI-powered workflows and automation, but full AI autonomy is still overhyped.
When the hype settles, real engineers will push AI forward in ways that truly matter.
What’s the most useful AI tool in your business today? Hit reply, we’d love to hear from you!