Editor’s Note
A new study reveals a stark disconnect in corporate AI strategy. While investment is projected to surge, most companies lack a clear roadmap to translate this spending into revenue growth.
According to a new study by IBM and Oxford Economics, AI investment is expected to see a massive 150% increase by 2030. However, while 79% of companies expect revenue to grow, only 24% have a clear strategy for achieving it.
Only 24% of executives are clear on where revenue from AI will come from.
68% fear that weak integration could cause AI efforts to fail.
Only 28% of companies are clear about which AI models they will need by 2030.
74% of executives believe AI will change the definition of leadership roles. 25% of company boards will have AI advisors by 2030. Currently, 47% of AI spending is focused on efficiency, which will decrease to 38% by 2030. Meanwhile, spending on innovation will reach 62%. 67% of executives hope AI will bridge the skill gaps that currently hinder organizations.
57% of companies believe their success will depend on better AI models, but only 28% know which models they will need by 2030. Meanwhile, 67% of executives say job tenures have shortened and employees are changing jobs more quickly. By the end of 2026, 56% of employees will need to be retrained as AI will take over part of their work.
The study surveyed 2,007 top executives across 33 countries and 20 industries. The report expresses optimism about AI’s bright future by 2030, while also issuing some warnings about potential negative aspects.