The AI market is expanding rapidly, with businesses and governments globally racing to harness its potential. Industry leaders like OpenAI, Microsoft, and Nvidia continue to innovate, while major public investments, particularly in the US, China, and Europe, underline AI’s growing geopolitical importance.

Yet for businesses, AI adoption remains a balancing act between opportunity and risk. While AI promises significant rewards, from operational efficiency and enhanced decision-making to better customer experiences, it also presents challenges. Poorly designed models, biased data, and weak oversight can lead to costly mistakes and reputational risks.

Successful AI programmes are built on a clear business case, strong executive backing, and robust development frameworks. Key success factors include iterative model development, close collaboration between business and technical teams, clean, high-quality data, and essential human oversight to manage bias and errors.

Johnston Carmichael supports organisations in safely navigating AI adoption, helping them articulate business problems, shape AI use cases, and implement initiatives that balance risk with meaningful, measurable value.

Read more in our recent whitepaper here: