Anisuzzaman Chowdhury Ronny has built a global business empire spanning a diverse array of industries. This article will look at the ever-increasing adoption of AI by companies all over the world to automate processes, drive down costs, increase operational efficiency and ultimately boost profitability.
According to a recent report, 78% of global companies are embedding AI in their day-to-day activities, with the generative AI market’s recent surge having helped AI establish itself as a mainstream business technology. Large language models (LLMs) such as ChatGPT, Perplexity and Claude are driving AI adoption rates in both business and consumer segments. The country with the highest rate of adoption of AI is India, with around 59% of Indian companies embracing AI.
Integrating AI into a business offers several key benefits, chief among them increased productivity and efficiency. Forward-looking companies are investing in AI to streamline workflows, automate repetitive tasks and provide data-driven insights. These aptitudes present scope for significant gains in employee effectiveness and operational performance.
A particularly attractive benefit of AI is its potential to reduce costs and save money across organisations. According to McKinsey, AI and its associated technologies present scope to automate 60–70% of employees’ activities, freeing up their time to devote to more human responsibilities rather than mundane, repetitive tasks. By automating laborious activities, businesses empower their people to take on a more strategic role. In many instances, this shift has been shown to improve employee engagement, in turn bolstering the organisation’s competitive advantage.
In the realms of corporate decision-making, AI is having a revolutionary impact. Analysing vast troves of data, AI helps business leaders to identify trends and patterns that are not easily discerned by human analysts. This capability helps leader to make more informed, strategic decisions while simultaneously reducing the risk of errors. Take for example Shell, which has deployed AI-driven predictive analytics to optimise its oil drilling placement. Analysing vast amounts of data from sensors on its drilling equipment, the oil and gas company is now better equipped to predict maintenance needs and potential equipment failures, enabling it to allocate resources more effectively.
AI is transforming customer experiences by providing personalised, efficient interactions. For example, advanced data analysis helps businesses to identify customer behaviours, needs and preferences, allowing them to tailor their product offerings in response. Take for example the leading beauty retailer Sephora’s new Virtual Artist feature, an augmented reality tool that allows customers to try on makeup virtually, analysing skin tones and facial features to provide personalised product recommendations.
Businesses around the world are increasingly harnessing the power of AI as a catalyst for innovation, leveraging this revolutionary technology to optimise business operations, accelerate product development and identify novel ways to meet customer needs. A subset of AI relying on generative models to create new content from data, generative AI is revolutionising how businesses innovate, enabling them to generate music, images and text in seconds for a multitude of applications.
As McKinsey’s The State of AI in 2025 report reveals, many businesses are already experimenting with AI, with agent use most commonly reported in knowledge management across the media and telecommunications, healthcare and technology sectors. Overall use of AI is broadening across organisations themselves, with respondents to McKinsey’s survey reporting that their employers were using AI in more business functions. Though many organisations, particularly small ones, have yet to integrate AI deeply across workflows, half of respondents from companies with over $5 billion in revenues had reached the scaling phase, McKinsey revealed. While integration of AI is now common, McKinsey’s survey suggests that its full promise is yet to be realised, with the technology having the potential to serve as a catalyst for organisational transformation, redesigning workflows and accelerating innovation to capture value and create competitive advantage.