Artificial intelligence has become one of the key transformative forces in today’s business world, unlocking many opportunities for growth, efficiency, and innovation. As currently seen in tools like ChatGPT, the general imagination captures only a slice of what AI can do. For businesses looking to maximise their value whether it be driving profitability, scaling operations, or positioning for a future sale-it’s important to look at more AI applications than just generative text tools.

For instance, McKinsey and Company and PwC are leading industry analysts who think AI will make a significant difference economically in the coming years. For example, McKinsey estimates that generative AI alone could contribute between $2.6 and $4.4 trillion annually to the global economy. Reaching the economic impact of this scale involves much more than surface-level AI adoption, including strategic solution implementation across company operations, from improving customer experiences to streamlining R&D.

AI as a productivity and value driver

The adoption of AI has already delivered significant results for businesses remarkably improving customer engagement, product innovation, and operational efficiency. For instance, with the help of AI-powered tools, businesses can make customers more satisfied by offering them more personalised marketing, predictive analytics, and intelligent chatbots. These experiences create retained customers who drive businesses with revenue growth.

AI accelerates innovation cycles in R&D through sophisticated automated data analysis and the simulation of outcomes for new products. This not only means time saved but also reduced costs, enabling businesses to innovate faster. 

Similarly, AI is transforming supply chain management, whereas predictive tools will help businesses optimise inventories, forecast demand, and proactively manage risks.

Financial benefits 

These developments hold enormous financial promise. According to PwC, AI has the potential to boost global GDP by 14%, or $15.7 trillion, by 2030. The companies that leverage AI strategically are prepared to capture this value and secure a competitive advantage.

Barriers to AI success

Not all this potential comes without challenges, though. According to Harvard Business Review, 80% of AI projects fail because technical, cultural, and strategic obstacles get in the way. Poor quality data is one of the big hurdles – AI needs good data; therefore, incomplete, inconsistent, or fragmented datasets of many businesses have limited the effectiveness of AI implementations.

Cultural resistance to AI within organisations is another barrier to its adoption. Workers may also be resistant to changes in workflows or may be concerned about what the technology means for their jobs. Without a good strategy for change management, companies can expect stiff resistance. 

Financial complications round out the list, especially for smaller businesses that just do not have the capital to invest in advanced AI infrastructure. Lastly, because most of them don’t have experience internally, poor selection, implementation, and management of AI tools are made.

Small business perspective

Larger organisations might adopt AI as mainstream and integrated, with high expenditures. However, small businesses have to weigh every cost against the value created for the business. 

One good way of adopting AI affordably is by leveraging cloud-based platforms that offer scalable AI capabilities. For example, AI-embedded functionality in CRM systems such as Salesforce allows small businesses to analyse customer behaviour, predict trends, and make data-driven decisions with no large up-front investments.

Small businesses can also outsource AI development from third-party providers that provide customised solutions. Smaller companies also adopt localisation in particular high-impacting areas, for example, customer service automation or optimisation of inventory. This helps small businesses realise tangible benefits without overstretching their resources.

How businesses can prepare for AI adoption

To succeed with AI, businesses have to adopt a deliberate and strategic approach. First, there has to be a deep analysis of the existing processes to find those areas in a company where AI will most make a difference. This may involve pinpointing inefficiencies, improving customer interactions, or shaving time off product development cycles.

Of equal importance is investing in sturdy data infrastructure. The effectiveness of AI clearly depends upon access to good data, and hence businesses need to set up mechanisms for collecting, storing, and analysing dependable data. Again just as important is the preparation of the workforce and making sure employees are trained in skills necessary to complement and work with AI in the basics of machine learning, AI ethics, or data interpretation.

Pilot projects can start small to test AI solutions and strategies in peacock fashion, with the assurance of implementing them at scale. 

Finally, partnering with experts or AI consultants will avail some valuable advice that will ensure businesses confidently but efficiently navigate the complexity of AI implementation.

Why AI adoption matters for business growth in 2025

With AI as a strategic asset, companies can outcompete others in this increasingly competitive environment. 

Those looking to be more investor-friendly or considering an exit, see the core integration of AI as a value-added proposition and, therefore, become more attractive. Technology-enabled companies are often more agile, more scalable, and more future-ready, which appeals to both buyers and investors.

Expanding AI

With all the attention given to ChatGPT and other generative AI tools, companies focused on those applications alone risk overlooking the wider benefits of AI. Technologies like predictive analytics, robotic process automation, and natural language processing also offer significant potential for businesses to enhance productivity and better manage operations.

Success in AI involves careful planning, continuous investment, and a willingness to learn. With thoughtful adoption, businesses can surmount obstacles in their way to unlock substantial value and create leadership in the economically viable, technology-driven business environment.

In 2025 and beyond, the businesses that stand out will be those that look beyond the surface and embrace AI’s full potential. Whether you’re managing a small company or a large enterprise, now is the time to expand your AI strategy and take advantage of the transformative opportunities it offers.

This article was written by Simon Daniels, sales director at KBS Corporate business sales specialists