The article questions the widespread concern about Artificial Intelligence's future impact by highlighting that federal and state governments have been utilizing AI for years. The author sarcastically implies that the past performance of government-applied AI has not always yielded optimal results, setting a critical tone for the subsequent analysis of government financial decisions and policy outcomes in relation to AI-driven projections.
AI's Role in Government Financial Decisions: The PERS Dilemma
The article critically examines the Mississippi State Legislature's approach to financial problems, particularly concerning the Public Employees’ Retirement System (PERS). Despite actuarial warnings about PERS's financial shortfall, legislative 'artificial intelligence' (a metaphor for their decision-making process) has consistently ignored recommendations for significant revenue increases via employer contributions or direct state funding. During the most recent session, proposals for direct infusions were not approved, indicating a persistent reliance on inadequate solutions despite clear financial challenges and expert advice. The author uses a sarcastic tone to highlight the perceived irrationality of these governmental decisions.
State Revenue Projections vs. Reality
Further illustrating the perceived flaws in government-applied 'AI,' the article points out a disconnect between government revenue projections and the actual economic impact of recent legislative decisions. Government 'AI' optimistically predicted a continued acceleration of state revenues, even in the face of major tax cuts and eliminations. However, the cumulative effect of phasing out personal income taxes, reducing grocery sales taxes, and cutting business taxes has begun to negatively impact state finances, contradicting the initial AI-driven forecasts and leading to financial strain.
Impact on Public Services: Teacher Pay, Childcare, and Medicaid
The financial miscalculations and legislative priorities have direct consequences on critical public services. Despite initial hopes from both legislative houses to substantially increase teacher pay (with proposals for $5,000 or $6,000 annual raises), only a one-time $2,000 increase was ultimately approved, justified by affordability constraints. Additionally, a $15 million allocation for childcare assistance, intended to support parents entering the workforce, was dropped due to lack of funds. Furthermore, a crucial $300 million allocation needed to maintain Medicaid services was nearly halved, severely impacting healthcare funding. These cuts underscore the real-world implications of the government's financial strategies.
Federal AI and Foreign Policy Follies
The author extends the critique to the federal level, drawing parallels between state-level 'artificial intelligence' and historical federal policy decisions. It's sarcastically noted that 'AI told President Trump he could quickly zap Iran, spur a popular overthrow... and still improve affordability at home,' only to label this as a flawed projection. This is then compared to the 'same AI process' that advised President Bush to invade Iraq in 2003. The article attributes the significant increase in national debt and budget deficits (from a balanced budget and under $7.8 trillion debt to a $1.9 trillion deficit and $34.1 trillion debt today) to this unfunded war, and warns that further foreign conflicts would exacerbate these financial issues. The piece concludes by stating that artificial intelligence, whether human or machine-generated, can often be fallible, emphasizing the need for wisdom and understanding in decision-making.
