Many AI initiatives are failing to deliver expected returns, with research showing only one in four projects meeting ROI and 75% of businesses seeing no tangible value. Executive teams often lack sufficient AI fluency, with only 55% of CTOs confident in their leadership's understanding of risks and opportunities. Organizations respond by buying more platforms, licenses, and dashboards, which overwhelms employees and undermines adoption. Effective improvement requires expanding training budgets but doing so strategically: implement pan-company training aligned to business objectives rather than concentrating education solely in IT or buying more technology.
Every company wants to have an AI strategy: A bold vision to do more with less. But there's a growing problem-one that few executives want to say out loud. AI initiatives aren't delivering the returns they were hoping for. In fact, many leaders now say they haven't seen meaningful returns at all. IBM recently found that only 1 in 4 AI projects hit the expected ROI. And BCG's research goes further still: 75% of businesses have seen no tangible value from their AI investments.
your investment in AI training to support your business transformation. The data tells a simple story. An Akkodis survey suggested only 55% of CTOs believe their executive teams have the AI fluency needed to grasp the risks and opportunities of the tech. Yet, it is these same executives who are trying to reengineer entire workflows, teams, and business models around tools that their people barely understand. And when performance disappoints, the knee-jerk reaction is to buy even more tech. More platforms. More licenses. More dashboards.
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