Can AI make my business recession proof?

As the economy braces for continued volatility—rising rates, cost pressures, and shifting labor dynamics—businesses are being forced to reexamine their operations and look for every edge. Artificial intelligence offers a rare opportunity: a transformative technology that remains, for the time being, relatively inexpensive and incredibly underutilized. Most companies don't need complex machine learning models or multimillion-dollar AI labs to get started. Off-the-shelf tools like ChatGPT, GitHub Copilot, and low-code automation platforms can immediately boost productivity, streamline routine tasks, and reduce administrative overhead. In many organizations, simply using these tools to assist with customer service, internal documentation, or financial analysis can unlock hours of previously wasted time. We’re at a moment where the barrier to entry is low, but the ceiling is incredibly high—especially for firms willing to experiment early.

One of the most overlooked uses of AI is training and upskilling employees. Instead of relying solely on traditional onboarding programs or expensive certifications, companies can leverage AI tutors, copilots, and documentation assistants to guide new hires through internal tools, workflows, and best practices. This is particularly valuable in industries where turnover is high or knowledge transfer is inconsistent. Imagine replacing a 10-hour training series with a chat-based guide that answers questions contextually and adapts to each employee's learning pace. Not only does this reduce costs, but it also builds a workforce that’s more comfortable working alongside intelligent systems. Companies that normalize AI-assisted work now will find themselves ahead of the curve when digital competency becomes a hiring baseline.

Of course, adopting AI effectively doesn’t just require enthusiasm—it demands direction. Many businesses benefit most when they work with a trusted advisor or analytics partner who can identify which processes are ripe for automation, which tools align with their business model, and how to roll them out safely and responsibly. This avoids the common trap of investing in tech without a clear ROI. With guidance, even small teams can punch above their weight, tapping AI to produce faster insights, smoother operations, and better customer experiences. In terms of impact, AI could easily match—or exceed—the productivity revolution triggered by the introduction of Excel in the 1980s. Just as Excel gave individuals superpowers in financial modeling and reporting, today’s AI gives businesses the power to scale creativity, communication, and execution at levels once reserved for firms ten times their size.