Wage-consumption balance. AI

Perplexity

Economically, what is the ideal balance between producer productivity and employment of workers with income sufficient to consume the products?

Economically, the ideal balance between producer productivity and employment of workers with sufficient income to consume the products is one where productivity growth and income distribution are aligned to sustain demand and maximize societal well-being. This balance entails:

Producer productivity increasing output efficiently, which creates economic value and income (wages, profits) for workers and owners.

Employment levels set so that a sufficient number of workers earn enough real income to purchase the goods and services produced, sustaining aggregate demand.

The labor market equilibrium where wage levels and employment quantities match labor supply and demand, maximizing total gains from trade between workers and firms.

Avoidance of "jobless growth," where productivity gains do not translate into widespread income and consumption gains, which can cause economic imbalances by reducing spending power.

This balance is crucial because while productivity improvements reduce unit labor costs and can lead to lower prices (good for consumers), they must translate into sufficient incomes broadly distributed so workers can afford the increasing output. High productivity without adequate employment or wage growth limits consumption demand, potentially constraining economic growth itself.

In summary, an ideal economic balance maintains labor market equilibrium with competitive wage levels that both motivate workers and enable them to consume, sustaining demand. The gains from productivity should broadly increase incomes and employment rather than concentrating gains, avoiding divergence between productivity and typical worker pay to keep the economy operating efficiently and equitably .

How will use of ai by nearly all businesses affect the ability to consume the gross product? The widespread use of AI by nearly all businesses is expected to significantly boost productivity, leading to greater output with less time and labor input. However, this rise in productivity poses challenges and opportunities for consumption of the gross product:

AI-driven productivity gains will allow businesses to produce more efficiently, often automating routine tasks and enabling workers to focus on higher-value activities. This can increase total economic output substantially over the coming decades, with projected GDP gains of 1.5% by 2035 and nearly 3% by 2055 due to AI .

Many jobs will be augmented rather than eliminated, with AI serving as a copilot that increases worker efficiency. This has the potential to enhance incomes and maintain employment in many occupations, though some job losses and shifts are expected ​.

The critical question for consumption is whether the income gains from AI-enhanced productivity are broadly distributed to consumers. If AI drives disproportionate job displacement or income concentration, a large share of the population may face stagnant incomes, limiting their ability to consume the growing output ​.

Initial AI adoption can also temporarily reduce productivity in some firms due to adjustment costs and the need for complementary investments in training and infrastructure ​.

Overall, if income gains track productivity improvements across a wide base of workers, households will have sufficient purchasing power to maintain or grow consumption of the increased gross product. If not, automatic gains in productivity may outpace consumption capacity, risking slowed demand and economic imbalances .

In summary, AI is projected to increase productivity and economic output significantly, but its effect on the ability to consume the gross product will depend on how equitably income gains are shared. Broad income growth aligned with productivity gains will foster strong consumption; uneven distribution could impede it .

Suppose 1/3 of the routine keyboard and phone (clerical) workforce is cut by ai and 1/4 of the management workforce also. Suppose that 1/3 of skilled blue collar workers are replaced by low wage workers using ai. what would be the effect on the overall economy?

If AI use leads to cutting 1/3 of routine clerical workers (keyboard and phone tasks), 1/4 of management staff, and replacing 1/3 of skilled blue collar workers with lower-wage workers assisted by AI, the overall economic effects could be summarized as follows:

Job displacement and reallocation: Such significant cuts in clerical and management jobs represent a substantial portion of workforce displacement, as supported by research showing 6-7% of the US workforce could be displaced by AI in this period, with temporary increased unemployment during the transition . Blue collar shifts to lower-wage workers using AI reflect a form of labor substitution but may also reduce overall wage income unless productivity benefits are broadly shared.

Income polarization and consumption impact: Reducing higher-paid management jobs and skilled blue collar workers and substituting them with lower-paid workers would likely produce a net decline in average incomes for those groups. Since these workers also constitute significant consumer demand, it risks depressing overall consumption unless displaced workers find new income sources or strong redistribution mechanisms exist .

Productivity and economic output: AI adoption can raise productivity, potentially increasing aggregate output. However, if productivity gains concentrate among fewer workers or owners, aggregate consumption growth may lag because fewer workers have sufficient income to consume the increased production .

Sectoral and skill mismatches: Job losses and shifts in workforce composition cause labor market friction and require large-scale reskilling and transition assistance. Mismatches between displaced workers' skills and new jobs' requirements can prolong unemployment or underemployment for some groups, further dampening demand .

Potential net effects: Overall, the economy could experience short- to medium-term increased unemployment or underemployment in these affected groups, with downward pressure on household incomes and consumption capacity. Long-term effects depend heavily on how effectively displaced workers are transitioned into new roles, how productivity gains are distributed, and the creation of new job categories enabled by AI .

In sum, widespread reductions like those described would increase structural labor displacement and income polarization, possibly constraining consumption growth despite productivity gains, unless offset by policy measures, upskilling, and new job creation aided by AI .

I see you are avoiding the obvious terms "recession" and "depression"

The terms "recession" and "depression" are indeed relevant when discussing large-scale AI-driven job displacement and its economic consequences. Many economists and experts predict that rapid AI adoption, especially during economic downturns, could exacerbate job losses and prolong labor market recoveries, potentially leading to recessions characterized by elevated unemployment and slower wage growth.

Key points include:

During recessions, firms often accelerate automation and AI adoption to cut costs, leading to intensified displacement among both routine and non-routine cognitive jobs. This can create a "jobless recovery" where GDP rebounds but employment grows slowly, increasing the risk of recessionary conditions in the labor market .

AI-driven job losses could be widespread, with some experts warning of up to 50% displacement in entry-level white-collar jobs in the near term. Such displacement risks pushing unemployment rates much higher, potentially triggering recessionary or even depression-like economic pain without adequate policy response ​.

The widening gap between productivity gains from AI and stagnant or declining wages for many workers could suppress aggregate demand, a classic recessionary scenario where production capacity outpaces consumption .

Federal Reserve officials and economists are actively monitoring how AI might reshape notions of maximum employment and natural unemployment rates, signaling recognition that AI could pose systemic economic risks including recession ​.

In essence, while AI holds long-term promise for growth, its short- to medium-term effects on employment and income distribution carry genuine risks of recession, and under severe scenarios, a depression characterized by prolonged unemployment and suppressed demand. These terms are not avoided but rather intertwined with the economic challenges AI adoption presents .