Slowly but surely, AI is moving up the business agenda as a means of enhancing operational efficiency and productivity. In the UK alone, 68% of large companies, 34% of medium-sized companies, and 15% of small companies have adopted at least one AI technology.1
However, the vast majority of businesses are yet to explore the potential of AI for formulating business strategy. Just 7% of respondents to a recent McKinsey study said that they used AI in strategic planning. In contrast, it was far more common for businesses to use AI for marketing, service operations and other areas.2
In its various forms, AI has an important role to play, not only in the process of formulating strategy, but also in changing the way businesses approach strategic thinking.
AI supports the strategy setters
While it is unlikely that AI can or should have complete autonomy over the strategy creation process, the tools that it can provide offer invaluable support and structure to the executives responsible for formulating strategy.
For example, it can analyze huge amounts of data at speed and provide useful insights. It can monitor widely for and flag opportunities and threats, feeding into the objective-setting process and overall strategic structure. It can compare scenarios and data from past business performance and highlight successful and unsuccessful strategic initiatives. It can also carry out predictive modelling and “war gaming” to stress-test a proposed strategy in possible future scenarios. Decision makers can then use this information to decide on the best approach.
AI can also flag when human bias has an impact on strategy. While AI is not bias-free, it is immune to certain human biases, such as excessive optimism, a common issue in traditional strategic planning. AI will resist getting overexcited by future growth opportunities, thereby avoiding the possibility of overlooking important facts or figures or acting impulsively. People also tend to stick with strategies, projects or products for longer than they should, perhaps because of an emotional connection or confirmation bias. AI can highlight the point at which a strategy has become ineffective (or is proven not to have the potential for future effectiveness), allowing executives to take a new approach without doubt or conflict.
Senior executives should not start to rely on AI and should continue to use their judgement and knowledge to create strategy. But AI can help them prioritize objectives and provide another viewpoint.
AI can analyze the abstract
The advanced statistical-processing capability of AI is well suited to helping with quantitative decision making. However, AI can also help with more abstract decisions. The Generative AI language model can deal with abstract concepts based on a wide variety of factors, beyond just facts and figures.
For example, a business may be attempting to decide whether to expand into a new market. While, ultimately, it will be executive management that makes this decision, AI can do a lot of the legwork in advance – sizing the markets, identifying barriers to entry, and conducting competitor analysis. It can also consider the changeable nature of these factors and spot nuances that may be otherwise overlooked, as well as suggest a range of possible actions.
Adopting an agile approach
As well as helping businesses formulate strategy, AI offers the possibility of changing the nature of strategy formulation itself. Typically, a new strategy is tested, eventually rejected or approved and then, in the latter case, implementation begins. The strategy is carried out over a three- or five-year period, at the end of which the business assesses performance and results and uses the resulting insights to formulate subsequent strategy.