How do you think AI will disrupt business across industries? Add to my list: 1. Content creation 2. Photos and video production 3. Basic coding and debugging 4. Strategic analysis to be highly complimented
Sort by:
AI will disrupt far more than creativity and coding—it’s transforming customer engagement, supply chain efficiency, and even talent management. The real game-changer isn’t just productivity gains, but how leaders reimagine business models around these new capabilities
In my opinion, the most straightforward use cases that can be accelerated via AI will be those which have deterministic outcomes and are supplied with comprehensive data sets and context. Examples are segmentation, categorisation, rules-based prioritisation. These are easy to verify and to fine-tune models.
Companies that hold custom/niche information that they can distill into a model and add GPT on top will hold unique seller advantages. Example, thought leaders in specific industries can accelerate and diversify their impact and reach by having proprietary data more user-friendly via a GPT interface and also agents. It will be the new SaaS experience route.
Personally though, I am experimenting on using coding AI for migration projects (e.g. migrating from Angular to ReactJS) using stateful (context expansion) and stateless (for horizontal scaling) multi-step approach.
Here are my thoughts:
1. Content creation → Fast, scalable text generation. Humans focus on strategy and tone.
2. Photo & video production → Instant, customized visuals without studio costs.
3. Basic coding & debugging → AI handles routine code; developers focus on architecture and complex issues.
4. Strategic analysis → AI surfaces insights; people make the judgment calls.
Start building internal AI literacy across teams now — the companies that train employees to work effectively with AI (prompting, validation, oversight) will be far more competitive in the next 2–3 years.
High quality prompting will be key. Ingredients are:<br><br>P-ersona / Role<br>T-asks<br><br>A-udience<br>C-ontext / Constraints<br>F-ormat<br><br>E.g., Instead of "Suggest some exercises I can do at home or in a nearby park.", use:<br><br>P. Act as an expert on healthy ageing with a focus on physical and mental wellbeing.<br>T. I would like a list of ideas for staying active.<br>A. I'm a senior citizen with limited mobility.<br>C. I'd prefer activities I can do at home or at a nearby park.<br>F. Include videos and easy-to-follow exercise routines targeted at people my age.<br><br>Could use the all-in-one approach or build the prompts as you go.
AI is poised to transform industries where tasks are well-defined and follow predictable patterns. For instance, L1 software support roles—which involve reviewing incident logs, performing initial diagnostics, and creating tickets—are increasingly being automated through AI-driven log analysis and ticketing systems. Similarly, roles like FinOps, which focus on analyzing cloud costs and recommending optimization strategies, are also being reshaped. In such domains, where decision-making is based on structured data and repeatable logic, AI can not only replicate but often enhance human performance.
AI has been disrupting as seen in the day to day activities across the industies, and the work within the departments. They will not replace in immediate vicinity , but definitely are great enablers and catalysts. The sales & marketing teams as well have incorporated AI tools (customized and openly available AI tools) into their day to day work and seeing great results - content / photos / Analysis.