In an Arkansas Business article, Chris Wright, co-founder and partner of Sullivan Wright Technologies, explored whether the massive rush to invest in artificial intelligence will deliver the returns many businesses expect.
While “experts” often frame AI as a high-risk, high-reward opportunity, Chris argues that this assumption doesn’t always hold up. With big tech companies alone investing an estimated $400 billion, the central question becomes whether enthusiasm is outpacing real, measurable value.
Chris points to customer service chatbots as a clear example of both AI’s potential and its limitations. While virtual assistants can reduce costs and improve efficiency, entirely replacing human teams introduces significant risk. Technical failures and poor customer experiences can quickly undermine trust, making a slower, more measured rollout a smarter approach. Chris encourages testing tools, evaluating outcomes and scaling only when benefits are proven.
Governance emerges as another primary concern. Citing IBM research, Chris notes that most organizations experiencing AI-related breaches lacked basic access controls, and nearly two-thirds had no formal AI governance policy. Fewer than half had an internal approval process for AI tools, underscoring the need to integrate AI more deliberately into cybersecurity strategies through policies, training and oversight.
Finally, Chris highlights the growing concerns that AI investment may be approaching bubble territory. Comparisons to the dot-com era, raised by outlets like The Wall Street Journal, suggest expectations may be running ahead of reality. Ultimately, Chris concludes that AI can deliver real value — but only when businesses prioritize thoughtful adoption, sound governance and long-term sustainability over hype.
For more information about technology news or to learn more about Sullivan Wright and how we can help your business, visit sullivanwright.com/news or email us at
