[White Paper Released] What is AI/DX Investment Governance Based on Economic Cycles? — Lessons from the 1929 Crash and 2008 Financial Crisis for Investment, Governance, and Talent Strategy in the 'AI Bubble' Era

taiziii Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Akijuro Kato) has released a white paper titled 'What is AI/DX Investment Governance Based on Economic Cycles?' aimed at executives, business leaders, and DX promotion managers.

This document utilizes the financial crisis analysis framework of renowned journalist Andrew Ross Sorkin to provide specific decision-making criteria for identifying which AI/DX investment areas will be 'protected' and which will be 'the first to be cut' during economic downturns.

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Do you have these concerns?

• You are enthusiastic about the current AI boom but concerned that your company's AI/DX investments may be becoming 'excessive expectations' or 'invisible liabilities.'
• You are looking for clear decision-making criteria on which AI investments to protect and which to cut in anticipation of an economic downturn.
• You are struggling to quantify the contribution of AI adoption to cash flow, relying instead on qualitative expectations like 'productivity should be increasing.'

This document serves as a practical guide for executives, business leaders, planning department managers, project leaders, and PMs facing these challenges.

Overview and Highlights

In many companies, AI/DX investments are treated as 'exceptions to cost-cutting,' and investment decisions are often made amidst hype and high expectations. However, almost every financial crisis has begun with 'excessive debt (invisible leverage).' This document presents a brand-new governance perspective that applies these historical lessons to modern AI/DX investment.

[Key Contents]

• 'Three Perspectives' from Sorkin's Crisis Analysis: Assessing the fragility of AI investments through the lenses of 'overconfidence,' 'invisible leverage,' and 'institutional lag.'
• Where are the risks in AI/DX investments at large Japanese companies?: Raising alarms about the current accumulation of 'just implement AI,' 'fixed cost conversion,' and 'reactive control.'
• Requirements for AI/DX investments that should continue even during a recession: Explaining the three conditions to avoid being cut: 'cash flow contribution,' 'integration into business processes,' and 'accountability.'
• Business design and manual/operational standardization in the AI era: Presenting methods to clarify the division of roles between humans and AI, elevating AI from a 'tool' to 'organizational infrastructure.'