In today’s talent market, many companies feel pressure to hire quickly.
That’s often a mistake.
A bad hire doesn’t just cost recruiting fees. It costs productivity, morale, customer relationships, and management attention.
The best organizations I’ve seen are patient. They know that waiting another month for the right person is almost always less expensive than spending a year managing the wrong one.
AI can screen resumes faster than ever. It can summarize interviews, compare candidates, and even identify potential skills gaps.
But AI can’t tell you whether someone shares your values.
Culture still matters.
Skills can be developed.
Character is much harder to teach.
The companies that win over the long run aren’t simply filling positions.
One of the principles I shared in The 100: Building Blocks for Business Leadership is that strategy isn’t about reacting to today’s challenges—it’s about intentionally building tomorrow’s success.
“Will this new (fill in the blank) still make sense when we are two or three times bigger?”
That’s a powerful question for any AI initiative.
Instead of asking whether AI can automate a single task, ask whether it strengthens your business for the long term. Does it improve customer service? Does it make your team more effective? Does it help you scale without sacrificing quality?
Organizations that think strategically about AI won’t just become more efficient.
Every business leader is asking the same question:
“How do we use AI?”
It’s the wrong question.
The better question is:
“How do we use AI better than our competitors?”
AI is quickly becoming like email, cloud computing, or the internet. Eventually, nearly every company will have access to similar AI models and tools. Simply having AI won’t create a competitive advantage.
What will?
The companies that rethink how work gets done.
The firms pulling ahead aren’t asking employees to “use AI when you can.” They’re redesigning workflows, eliminating repetitive tasks, shortening decision cycles, and giving people more time to solve customer problems.
That’s where the real return comes from.
I’ve seen organizations save hours generating proposals, documenting meetings, analyzing requirements, and creating software. Those time savings are valuable—but only if they’re reinvested in activities that create more value for customers.
Otherwise, AI simply helps you do the same work a little faster.
The winners will be the organizations that pair AI with capable people, strong processes, and a culture of continuous improvement.
Technology alone has never been enough.
Competitive advantage comes from how people use it.
Enterprise leaders who are still talking about the future of AI are already behind. In 2026, AI isn’t a trend to watch—it’s a capability to master. The real conversation now is: how do we embed it into daily decision-making to move faster, smarter, and with less guesswork?
Decision Velocity is the New Competitive Advantage
CIOs and CTOs are under pressure to deliver results faster. But the winners aren’t just accelerating decisions—they’re improving them. AI is giving leaders the ability to process complex datasets, model outcomes, and get clarity on risk before the first move is made.
At Intertech, we’ve seen this firsthand. Whether it’s fine-tuning product development roadmaps or optimizing operational workflows, AI-driven insights are changing how decisions get made—and who gets to make them.
Practical AI, Not Hype
Forget the moonshot scenarios. The most valuable AI tools in 2026 are the ones enhancing real workflows. Leaders are deploying models to:
Prioritize backlogs based on customer impact
Improve forecasting with historical and real-time data
Flag inefficiencies or security risks before they become problems
And thanks to platforms like Intertech’s UnifiAI, our clients are doing this with tools purpose-built for software development. From planning to deployment, we’re integrating AI to support better decision-making without disrupting team flow.
The Human-AI Partnership
AI isn’t replacing leadership—it’s elevating it. The smartest companies are training their teams to ask better questions, interpret AI-generated recommendations, and use those insights as a launchpad for innovation. The future belongs to those who know how to collaborate with AI, not compete with it.
Ready or Not, the Shift is Here
If your organization still treats AI as a pilot project or fringe initiative, now’s the time to course-correct. Set clear business goals. Train your team. Choose tools that integrate with your workflows. And remember: in 2026, smart decisions aren’t just human-powered—they’re AI-enabled.
