
"Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren't seeing the results they were hoping for. According to MIT's State of AI in Business 2025 report, 95% of enterprise AI initiatives are failing to deliver measurable P&L impact, and only 5% of pilots make it into production with real value creation."
"Before even starting an AI project, ask yourself: what's the problem that we're trying to solve? Many projects fail simply because the precise goals aren't defined upfront. If things are left too loosey-goosey and vague, that can result in mixed expectations within your organization. Then no matter what, you're likely to end up with at least a few dissatisfied people at the end of the day."
"Organizations need skilled professionals with business acumen who can apply proven methods to lead AI projects with clarity and impact. The fix: Identify skilled project managers to guide your AI initiatives. Not everyone is a project manager, and even experienced project managers need to understand the uniqueness of AI projects and that you can't treat them like traditional tech transformations. Be thoughtful about bringing in talent that's trained to get even the most complex AI projects done well and delivering value from day one."
Most enterprise AI initiatives fail to deliver measurable P&L impact, with 95% producing no measurable impact and only 5% of pilots reaching production and creating real value. Common root causes include unclear business goals, poor project management, and unrealistic expectations that overpromise AI capabilities. Unclear goals lead to mixed expectations and dissatisfied stakeholders. Poor project management requires skilled leaders who combine business acumen and AI project experience. Avoiding overpromising requires setting realistic outcomes and managing expectations. Early alignment on precise problem definitions, expected ROI, and stakeholder accountability increases the likelihood of successful, value-creating AI deployments.
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