Raja Walia is the Founder and CEO of GNW Consulting.
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CEOs have spent 2026 buying AI, implementing AI and telling their boards how much progress they’re making. Now Q4 is here, and a lot of those same CEOs are realizing they’ve spent a considerable amount of money without much evidence that the business is better off.
McKinsey’s 2026 state of AI report found that 80% of respondents said AI improved their individual productivity, but only 37% of organizations attributed any positive companywide earnings impact to AI. That’s a significant gap between getting people to use AI and getting the business to benefit from it.
Boards have been patient because AI is new, and nobody wants to fall behind. But patience runs out when the spending continues and the results don’t follow. If you can’t explain what your AI investments have produced, eventually your board may start evaluating your performance instead of the technology’s.
Saving time isn’t the same as making money.
One of the biggest mistakes companies are making is treating time saved as money earned. Take an AI sales development representative (SDR) agent that handles prospecting and follow-up work previously done by business development representatives (BDRs). If the technology saves each employee several hours a week, that’s an improvement in efficiency. But what happened to those hours?
If BDRs are spending more time with qualified prospects and generating additional pipeline, the company is getting something from the investment. If they’re producing the same results as before, you’ve created capacity without finding a productive use for it.
It’s like putting better tires on a car with an engine that can’t go any faster. You can improve one component all you want, but the vehicle isn’t going to perform any better until you address what’s holding it back.
The same applies to AI. Companies are automating tasks without changing the processes around them, then claiming the hours saved as a financial benefit.
Your employees having more free time isn’t an ROI calculation. Show the board how that time improved output, reduced costs or allowed the business to grow without adding resources.
If you’re talking ROI, bring the numbers.
Like many board members, I don’t want to see an AI ROI slide in a board presentation unless someone can explain where the number came from, including what the company spent on software, implementation, consultants and internal resources.
The problem with a lot of AI ROI reporting is that companies are putting a dollar value on time saved without knowing whether that time has produced anything for the business. You can’t take a few hours of improved productivity, multiply them by someone’s salary and call that a return. That’s not how the business makes money.
Instead, show what changed from where you started. Maybe the sales cycle is shorter or the company is handling more customer requests without adding staff. But AI doesn’t get credit for every improvement that happens in the business. Other things are changing at the same time, and a CEO needs to understand what’s driving the results.
If you never established a baseline, you’ve made your job harder, but that’s no excuse to keep operating without one. Start measuring now, and be prepared to defend the investment with numbers. If you’re putting ROI in front of your board, it had better be based on something more than what you hope the technology is doing.
AI is changing how companies operate.
Buying an AI tool is easy. Changing how your company operates around it is where things get difficult.
McKinsey found that 40% of respondents at organizations with more than $1 billion in annual revenue were scaling AI agents in one or more functions in 2026, up from 27% the previous year. Companies are beginning to rethink how work gets done rather than adding technology to existing processes.
Think about the automatic shut-off on a gas pump. The improvement wasn’t making someone faster at watching a tank fill up. It removed the need to manage that part of the process altogether.
That’s what CEOs need to consider with AI. If the technology can eliminate steps, reduce dependencies or change how much work a team can handle, the business needs to be organized to take advantage of it.
Some of your competitors may already be figuring out how to use AI to run more efficiently. If you’re still reporting adoption numbers to your board, you may have a bigger problem than you think.
Boards need results, not another AI update.
By Q4, CEOs need to know which investments deserve more funding in 2027 and which ones need to be reconsidered. That requires evidence of what has changed in the business and the discipline to stop funding initiatives that aren’t producing enough value.
You can tell your board AI is the future of business. They’re still going to want to know what you’ve done with their money. And if you can’t answer, don’t be surprised if they start looking for someone who can.
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