For years, we’ve heard that Artificial Intelligence (AI) will revolutionize industries. The idea is so prevalent that it’s easy to stop actively thinking about it. We acknowledge AI in headlines, in passing business conversations, and in abstract discussions about the future. Yet, much like a fish is unaware of the water surrounding it, we’ve been immersed in AI without fully recognizing its impact.
That impact is now undeniable. The question is: will we embrace it—or ignore it at our peril?
AI as the Invisible Force
AI is no longer a futuristic concept, or a background presence. It’s embedded in the tools we use every day, from the smartphones in our pockets to the chatbots handling our customer inquiries. It powers business decisions, optimizes operations, and influences nearly every industry.
Yet, because AI is so familiar, we often overlook it. The term itself has become a cliché—almost old news. Something we assume we understand. But do we? How much do we really know about its capabilities, its limitations, or its potential disruptions?
Many still view AI as a distant idea, relevant only in the future or in industries far removed from their own. This perspective is outdated.
The Shift from “Known” to “Obvious”
AI is a driving force that can shape how we work, compete, and innovate. Organizations that continue treating AI as an abstract concept risk being blindsided by its rapid evolution.
This shift—from AI being “known” to becoming “obvious”—is critical. The moment we stop seeing AI as some far-off development and recognize it as an immediate force, we can take meaningful action.
Make no mistake: AI will transform your organization, whether you engage with it or not. The only choice is whether you’re leading that change or struggling to catch up.
The Cost of Waiting
A passive approach to AI is no longer viable. Waiting for the “right time” to adopt AI means falling behind competitors who are already leveraging its power. Yes, AI is complex, and yes, there are risks. But the greater risk lies in hesitation.
I’m old enough to remember the early days of the internet (I’m that old). Most businesses dismissed it as a fad. Others chased the new idea with reckless abandonment and wasted tons of time and money. But a relative few (at the time) experimented, learned, made incremental changes, and ultimately thrived in their use of the new “internet-powered” approach. Not to mention all the new multi-billion (trillion) dollar businesses that were made possible by the internet.
AI is following a similar trajectory. Many are ignoring, even shunning, AI as something other people will figure out. They don’t want to be the one pushing these new ideas within their organization. It’s easier to stay in the background and wait for someone else to take the leap.
But others are already leaning in (to coin a phrase), experimenting, and learning. They are incrementally (and sometimes dramatically) shaping a new future…and remaining relevant in the process.
Learn the Basics
AI adoption doesn’t require immediate mastery. It starts with small, intentional steps.
You don’t need to be an AI expert, but understanding its core functions and business applications is essential.
Start by exploring industry-specific AI tools already in use. How did I make this list? You guessed it, I asked ChatGPT to give me a list of industry-specific AI tools in use today. Will each one be a winner? Not sure, but it’s a great list to use as a starting point:
–Retailers use Amazon Personalize and Google Recommendations AI for AI-driven product suggestions, improving customer engagement and sales.
–Marketers leverage HubSpot AI for automated email campaigns, Persado for AI-powered ad copywriting, and Seventh Sense for optimizing email send times.
–Financial analysts turn to Bloomberg Terminal AI for market insights, Kavout for AI-driven stock analysis, and Zest AI for smarter credit risk assessments.
–Healthcare professionals rely on IBM Watson Health for AI-assisted diagnostics and Olive AI for automating administrative hospital tasks.
–Manufacturers use Siemens MindSphere for AI-powered predictive maintenance and Falkonry for real-time industrial data monitoring.
–Customer service teams integrate Forethought AI for automated ticket triaging and Zendesk AI for intelligent chatbot interactions.
–HR and recruitment teams utilize HireVue AI for AI-driven candidate screening and Pymetrics for bias-free talent assessment.
Experiment with Broad-based AI Tools
Don’t wait for the perfect strategy. Start small. Generalized AI tools can improve various aspects of your business (again, I asked ChatGPT for this list):
–Conversational AI & Research: Tools like ChatGPT, Claude.ai, or Anthropic’s AI help generate content, answer complex questions, summarize reports, and assist in brainstorming sessions.
–Automation: Platforms such as Zapier AI, UiPath, and Notion AI automate workflows, streamline repetitive tasks, and generate notes and summaries.
–Data Analysis: Solutions like Tableau AI, ChatGPT’s Code Interpreter (Advanced Data Analysis), and IBM Watson process and visualize data for better decision-making.
–Customer Engagement: AI-driven tools such as Drift AI, Intercom AI, and Crystal Knows enhance customer service, lead generation, and sales profiling.
These are just a few of the many AI-powered tools available today. The landscape is constantly evolving. Exploring AI solutions that fit your specific needs is the key to personal and professional growth.
Cultivate a Growth Mindset
Learning AI is a journey, not a destination. It’s okay to make mistakes. It’s actually necessary. Feeling uncomfortable is a sign of growth. The more you experiment, fail, and adjust, the more effectively you’ll integrate AI into your work. AI isn’t about instant perfection. It’s about continuous learning.
Lead from the Front
If you’re in a leadership role, set the tone. Your team will look to you for guidance. Show them that AI adoption isn’t just an IT initiative. It’s a mindset shift.
Encourage experimentation, provide resources, and support a culture of AI-driven innovation. Companies that will thrive with AI aren’t the ones waiting for a complete plan. They’re the ones embracing AI through hands-on learning and iterative improvement while incorporating these new discoveries into their future plans.
The Future is Now
AI is not a distant disruptor—it’s an active force shaping today’s workplace. Organizations that recognize this and take action will thrive. Those that don’t will be left behind.
It’s time to stop treating AI as a theoretical innovation and start engaging with it as a business reality.
The future isn’t waiting, and neither should you.
Photo credit: The graphic was generated by DALL-E. I asked it to generate an image of an office on the ground floor that captures the essence of the blog post I had just written.
In its first few attempts, it tossed in robots sitting amongst the office workers. I like to think of myself as a forward thinker, but I’m not quite ready to accept that reality…even though I’m sure it’s rapidly approaching. I asked DALL-E to eliminate the robots (for now).
Grandpa Bob Encouraging Leadership 