History doesn't repeat itself, but it does rhyme.
Let’s cast our memories back…The year is 2007. Steve Jobs is standing on stage in San Francisco at Macworld, sliding a finger across a piece of glass to unlock a device that would change the world forever. At that exact moment, in Espoo, Finland, the leadership at Nokia—the undisputed king of mobile—looked at the iPhone and saw a “cool toy” with poor call quality and no physical keyboard.
They didn’t just miss a trend. They missed a tectonic shift.
If you are a leader today watching the rise of Generative and Agentic AI and thinking, “We’ll wait and see how this plays out,” you aren’t being “cautious.” You’re channeling Nokia in 2007. Think about that for a moment. Actually, have a long think..
The Ghost of 2007: Why Giants Fall
Nokia didn’t collapse because they lacked talent or money. They collapsed because of organisational inertia. They were so invested in their current success (the Symbian operating system) that they ignored the signs that the world had moved from “hardware-first” to “software-and-ecosystem-first.”
By the time Nokia realised that the smartphone wasn’t a phone—it was a pocket-sized computer with an ecosystem—it was too late. The gap was unbridgeable. They tried with Microsoft and Windows, and we all know how that turned out…
The AI Parallel
We are currently in the “iPhone Moment” of Artificial Intelligence. Just as the smartphone revolutionised personal communication, AI is revolutionising the very nature of cognitive labor.
– The 2007 Signal: Touchscreens and Apps.
– The 2024 Signal: Large Language Models (LLMs) and Autonomous Agents.
Ignoring AI today is the exact equivalent of a 2007 CEO saying, “People will always prefer plastic buttons over a glass screen.”
History Doesn’t Repeat, But It Rhymes
We’ve seen this movie before. Think back to the mid-90s and the advent of the commercial internet.
Companies like Blockbuster saw Netflix and thought the “internet thing” was a niche hobby for tech geeks. They believed their physical moat—thousands of retail stores—was impregnable. Similarly, Borders outsourced its online book sales to a tiny startup called Amazon because they didn’t think digital sales were worth the hassle
The internet didn’t just “change” retail and media; it liquidated or put into VA those who refused accept the tectonic changes to the marketplace and adapt. AI is moving at conservatively ‘10x’ the velocity of the internet’s adoption curve. You don’t have a decade to figure this out; you have quarters.
The “Head in the Sand” Strategy
(Yes, that’s a juxtaposition, and a self defeating one!)
Many organisations today are treating AI as an IT project or a “nice-to-have” for 2026. This is not a strategy; it is a slow-motion surrender.
The Reality Check: Even if your company does absolutely nothing—if you ban ChatGPT, block APIs, and stick to spreadsheets—at least 40% of your roles will be fundamentally affected.
APAC AI, with our partners can deliver hard quantifiable data to support this. We can run an AI diagnostic across your entire organisation, every job role, all the associated tasks and deliver summaries and conclusions across every job family, department and vertical on the impact of AI. Hint, it doesn’t take weeks.. it takes days.
Your employees are already using these tools to stay afloat as well as learning to use LLM specific applications and agents. Your entry-level tasks are being automated by the very people you hired to do them. If you don’t build a roadmap for AI adoption, you aren’t “protecting” your culture; you’re just losing visibility into how your company actually functions.
The Only Path Forward: Rapid POC and Rigorous Testing
You can’t “plan” your way into the AI era with 18-month steering committees. The technology is evolving faster than most corporate procurement cycles. The winners of the next decade will be companies that adopt a “Laboratory Mindset”:- The business case is the hypothesis, the road-map is the methodology.
Rapid POC (Proof of Concept) Deployment: Identify high-friction, low-risk areas (TA, Internal HR desk, customer support, data entry, initial drafting, code review) and deploy AI solutions now.
Rigorous Testing: Don’t just “deploy and pray.” Measure the data in productivity, accuracy, and employee satisfaction.
Iterative Scaling: Fail fast, learn the limitations of the models, and pivot.
Your Competitors Aren’t Waiting
While organisations are debating the ethics of AI in a boardroom, your competitors are already using it to:
– Slash operational costs by 30%.
– Accelerate R&D cycles from months to weeks.
– Personalise marketing at a scale that makes your “segmented” emails look like ’97 relics.
Their bottom line is going to grow faster, their margins will be thicker, and they will eventually be able to outspend, out-hire, and out-market you.
The question isn’t whether AI will change your industry. It already has.
The only question that remains is: Do you want to be the one holding the touchscreen, or the one left with the plastic buttons?
If you’re reading this, you’re probably wanting to drive change rapidly in your organisation, but there’s a ‘Wait and See’ mentality at the top. If you want to understand the mechanics of a sound business case, a roadmap to deliver demonstrable change and the metrics to measure ROI, reach out now. Don’t be the one holding the buttons….
#AI #Innovation #BusinessStrategy #Leadership #DigitalTransformation #NokiaMoment
