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We are still in the early chapters of the AI story. The tools that seem remarkable today will be baseline expectations within three years, and the capabilities being developed in research labs right now will reshape entire industries before 2030. For business leaders, the question is not whether AI will affect their sector — it is whether they will be ahead of that wave or behind it.
Current AI tools are largely reactive — they respond to prompts and complete defined tasks. The next wave is agentic AI: systems that identify goals, plan multi-step approaches, execute actions across software platforms, and iterate based on results without continuous human instruction. Within five years, businesses will have AI agents managing entire workflows — researching prospects, reaching out at optimal moments, following up, and logging outcomes — all without human involvement.
AI that combines understanding of text, images, audio, and video simultaneously opens entirely new interaction possibilities. Customer service agents will be able to see what a customer is pointing their phone camera at and diagnose the problem in real time. Sales demos will be personalised dynamically based on the visible reactions of participants. Product returns will be assessed from a photo. The richness of AI-mediated interaction will approach and in some contexts exceed human capability.
The most productive businesses of the next decade will not be those that replaced the most workers with AI — they will be those that found the most effective collaboration models between human capability and machine intelligence. Humans will increasingly focus on judgement, creativity, ethics, and relationship-building: the domains where emotional intelligence and lived experience remain irreplaceable. Reskilling for this collaboration is the most important investment a business leader can make today.
As AI tools commoditise, the technology itself will cease to be a differentiator. What will separate market leaders from followers will be the quality of their AI strategy: the proprietary data they have collected and curated, the workflows they have optimised, the talent they have trained, and the speed at which they iterate. Starting today — even modestly — builds the institutional knowledge and data assets that will compound into durable advantage.
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