How AI Pays Its Bill
By Herb Hogue, CTO, Myriad360
A decade ago, businesses could debate whether to adopt the cloud. Today, no company can remain competitive without it. Cloud computing has become foundational, enabling agility, scalability, and efficiency across industries. Even without a dramatic forcing function like COVID, the cloud’s benefits have rendered it indispensable. AI is following the same trajectory.
What began as curiosity-driven experiments—playing with tools like ChatGPT—has rapidly evolved into something far greater. AI is becoming non-negotiable, not because it generates immediate, direct ROI, but because its absence means falling behind. Companies that embrace AI are embedding it into core workflows, unlocking indirect value, and gaining the competitive edge necessary to thrive in an increasingly digital marketplace. The numbers reflect this urgency: the AI market is projected to skyrocket from $214 billion in 2024 to $1,339 billion by 2030.
Indirect Value: The Real Returns on AI
The question many leaders ask is, “How will AI pay for itself?” The truth is that its value lies not in direct revenue lines but in its ability to enhance operations, deepen customer relationships, and accelerate the pace of innovation. These are the dividends that AI delivers when integrated strategically.
1. Enhancing Customer Stickiness
AI’s ability to personalize experiences has made it a cornerstone of customer engagement strategies. Today, it’s no longer enough to offer a good product or service—businesses must create experiences that customers can’t live without. AI does this by predicting needs, tailoring interactions, and driving engagement.
The results are clear. For example, Yum Brands—the parent company of Taco Bell and KFC—used AI-optimized email offers and personalized messages to achieve double-digit growth in consumer interactions. These are not one-off successes; they illustrate the growing expectation that brands must meet customers on their terms, with precision and personalization that only AI can deliver.
Metrics like purchase frequency, time spent on platforms, and increased session counts reflect the success of AI-driven stickiness strategies. These metrics are not just vanity numbers; they translate to deeper loyalty and greater lifetime customer value.
2. Unlocking Data for Strategic Impact
AI excels at turning data—often fragmented and underutilized—into actionable insights. This capability unlocks opportunities across the business. While personalization is one well-known application, AI’s ability to leverage data extends far beyond customer engagement. Businesses are using AI to optimize inventory, prevent fraud, and drive predictive maintenance.
According to VentureBeat, 64% of companies are actively using AI to unify data from disparate sources, building a comprehensive view of their operations and customers. These insights translate into smarter decision-making, reduced inefficiencies, and the ability to identify growth opportunities that were previously invisible.
3. Accelerating the Pace of Innovation
Speed is a competitive advantage, and AI is redefining how quickly businesses can bring products and services to market. In industries like healthcare, AI is already demonstrating its ability to reduce development timelines for life-saving drugs and enhance the speed of diagnostics.
AI-based medical imaging tools, for example, can analyze data faster and with greater accuracy than human professionals, accelerating the diagnostic process and enabling earlier intervention. These innovations do more than save time—they fundamentally change the scale at which industries can operate, opening the door to new possibilities and larger markets.
Strategies to Manage Costs and Stay Competitive
AI is not without challenges, especially when it comes to cost. Without clear strategies, organizations can find themselves overwhelmed by spiraling expenses, from infrastructure to data management. But there are ways to adopt AI without breaking the bank.
- Adopt Modular Systems: Businesses should look to scalable solutions that reduce complexity and streamline implementation. Platforms like HPE’s “AI-in-a-rack” offer modular, preconfigured systems that lower the barriers to entry while enabling flexibility for growth. These systems are particularly valuable for smaller enterprises looking to gain AI’s advantages without incurring massive upfront costs.
- Optimize Data Pipelines: Clean, structured data is the foundation of effective AI. Investing in data readiness ensures that AI systems are operating on reliable information, reducing inefficiencies and enabling smarter, faster outcomes. This focus on data governance and pipeline optimization also mitigates the risks of poor AI performance or wasted resources.
- Leverage Energy-Efficient Infrastructure: The operational costs of running AI models can be significant, but advances in AI-specific chips are helping to offset these expenses. Energy-efficient hardware lowers power consumption while delivering faster processing, improving the cost-efficiency of AI investments.
- Learn from Success Stories: Companies like Dropbox have shown the value of optimizing AI strategies to control costs. By reducing its dependency on AWS through AI-optimized infrastructure, Dropbox saved nearly $75 million.
It’s About Staying in the Game
The reality is clear: AI is not just a tool for differentiation; it’s the price of admission to compete and win in the future. Companies that fail to invest in AI will find themselves unable to keep up with competitors who are embedding it into their core operations. So even if AI won’t generate immediate, direct ROI, the cost of not adopting it is far greater.
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