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 

Transaction processing and anomaly detection for front office systems. Agentic AI can also be used for invoice/ payment processing, SCM, etc. AI agents can also be helpful in Account reconciliations/ adjustment posting.

As you all have seen with the recent report of large companies reducing a significant number of employees, AI is definitely disrupting almost every industry. It may have not shown its true impact because not all companies are adopting this technology at the same time.
AI is forcing us to re-think how we see our businesses and processes. There is always an opportunity to use some sort of AI but it requires the right people or decisions to ensure it is generating the expected value.
If you as a leader, regardless the industry, are not using AI almost everyday you are missing huge opportunities. And other competitors may be using that and can gain some traction and a market advantage.

Requirements and Gap analysis of solutions. AI is disrupting how analysis is conducted by significantly improving the efficiency and productivity of Business Analyst.

AI should reshape every well documented process in a company. The closer the documentation or models match reality, the better AI can handle them. It performs best when processes are clear, measurable, and well structured, but it struggles with ambiguity, emotions, and human context.

Here is what I personally see:

Content creation – AI will accelerate the production of text, audio, and visual materials, enabling mass personalisation and reducing creative cycle times.

Photos and video production – Synthetic media tools will drastically cut costs and democratize access to professional-quality visuals, shifting the value toward creative direction and storytelling.

Basic coding and debugging – AI copilots will handle repetitive programming tasks, allowing developers to focus on architecture, problem-solving, and innovation.

Strategic analysis to be highly complemented – AI will enhance decision-making by processing vast, complex datasets in real time, uncovering insights beyond human reach.

Customer service and engagement – Conversational agents will handle most first-line interactions, offering 24/7, multilingual, and personalized support experiences.

Operations and logistics – Predictive analytics and autonomous systems will optimize supply chains, inventory, and maintenance, increasing efficiency and resilience.

Talent and HR management – AI-driven tools will assist in recruitment, performance analysis, and skill development, reshaping workforce planning and organizational design.

Finance and compliance – Automation of auditing, fraud detection, and risk modeling will raise both accuracy and speed, redefining the roles of finance professionals.

Marketing and personalization – Hyper-targeted campaigns and AI-driven customer insights will make marketing more adaptive, data-centric, and outcome-oriented.