the coming tsunami of ai software projects and only the prepared will survive 1
This single-author PDF argues that the incoming surge of AI and software projects will overwhelm enterprises unless they adopt disciplined, portfolio-level planning. It compiles multiple industry estimates (70–95% failure/low-impact rates), identifies root causes (poor requirements, misaligned stakeholders, data/integration issues), and prescribes rigorous practices: strategic narratives, stakeholder alignment, precise requirements, risk/dependency mapping, and EPPM. The report positions ForceEquals.ai as an AI Planning Assistant and portfolio visibility layer to align executives, enforce stage-gates, and push approved projects into execution. It includes target buyer personas, messaging hooks, and sample LinkedIn posts aimed at Chiefs of Staff, Transformation/PMO leaders, CIOs/CTOs, BU leaders, and CFO/COOs.
Questions this document answers
70–95% (various sources: PMI/RAND/Forbes/MIT/Tom's Hardware cited)
42%
85%
95% of generative-AI deployments show no measurable impact on profit or loss
~25–35% (author's stake)