Control, Crisis, & Compliance: Endgame Logic Of Late Capitalism

Control, Crisis, & Compliance: Endgame Logic Of Late Capitalism

Control, Crisis, & Compliance: Endgame Logic Of Late Capitalism

Authored by Colin Todhunter via Off-Guardiam.org,

It must be made clear from the start that, drawing on the work of sociologist Max Weber, capitalism is an ‘ideal type’ concept. An ideal type is a conceptual tool that highlights certain key characteristics of a phenomenon by accentuating some elements while omitting others. It is not meant to perfectly correspond to any specific real-world instance but serves as a construct to analyse and compare social or economic phenomena.

This framing is critical: while capitalism is often described as a system of free markets and voluntary exchange, in reality, it frequently relies on collusion, corruption and state-corporate coercion and violence. Having stated this, as an economic system, capitalism inherently requires constant growth, expanding markets and sufficient demand to sustain profitability.

However, as markets saturate and demand falls, overproduction and overaccumulation of capital become systemic problems, leading to economic crises. When capital cannot be reinvested profitably due to declining demand or lack of new markets, wealth accumulates excessively, devalues and triggers crises. This tendency is linked to a long-term decline in the capitalist rate of profit, which has fallen significantly since the 19th century.

Neoliberalism’s playbook

Capitalism in the form of neoliberal globalisation since the 1980s has responded to these crises by expanding credit markets and increasing personal debt to maintain consumer demand as workers’ wages are squeezed or they are made unemployed.

Other strategies have also been deployed. These include financial and real estate speculation, stock buybacks, massive bailouts, public asset selloffs, regulatory ‘reform’ and subsidies using public money to sustain private capital and boosting militarism, which drives demand in many sectors of the economy (one reason why Germany and other European countries are following in the footsteps of the US by boosting their spending on militarism and creating bogeymen as a justification).

These financial manoeuvres are not isolated tactics but part of a broader neoliberal agenda that also involves deregulating international capital flows and exposure to global capital markets, resulting in the obsession of maintaining ‘market confidence’ to hedge against capital flight and surrendering economic sovereignty to finance capital. We also see the displacement of production in other countries in order to capture foreign markets.

This global expansion of neoliberal capitalism is a form of imperialism, where powerful corporations and financial interests impose structural adjustments and policies that undermine local economies, especially in the Global South. The capture of new markets abroad is essential for capital accumulation and offsetting potential declining profitability at home.

This imperial dynamic is particularly visible in the agricultural sector. For instance, the process involves the destruction of indigenous rural economies, the imposition of chemical-dependent industrial agriculture and transformation of food systems to benefit global agribusiness oligopolies. Think too of the profit-driven technofixes being rolled out by Big Tech and Big Ag: the ultimate commodification and corporate capture of knowledge, seeds, data and so on under the crisis narrative of impending Malthusian catastrophe.

And this alludes to the fact that capital seeks ideological cover for its financial ambitions. The climate…

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Productivity Gains From Using AI

Productivity Gains From Using AI

Productivity Gains From Using AI

As AI tools become increasingly integrated—and in some cases, even mandated—into professional workflows, their real-world impact on productivity is becoming more evident.

This chart, via Visual Capitalist’s Niccolo Conte, compares the average time it takes U.S. adults to complete 18 common work tasks with and without the use of generative AI, based on a December 2024 survey of 4,278 respondents conducted by Stanford University and the World Bank.

Generative AI Improves Productivity by Over 60%

Across all tasks, using generative AI reduced the average time taken to complete them by more than 60%.

Here’s how much time using generative AI saved across 18 common work tasks, in average number of minutes:

Task
Time With GenAI (avg. minutes)
Time Without GenAI (avg. minutes)
Time Reduction
Writing
25
80
-69%
Active Learning
26
76
-66%
Critical Thinking
27
102
-74%
Troubleshooting
28
115
-76%
Judgement and Decision Making
28
79
-65%
Management of Material Resources
28
92
-70%
Mathematics
29
108
-73%
Time Management
29
77
-62%
Complex Problem Solving
30
122
-75%
Instructing
31
93
-67%
Operations Analysis
31
98
-68%
Systems Analysis
31
87
-64%
Managament of Personnel
32
103
-69%
Programming
33
129
-74%
Equipment Maintenance
34
124
-73%
Quality Control Analysis
36
103
-65%
Management of Finances
38
106
-64%
Technology Design
39
142
-73%
Some of the largest gains came from highly technical or analytical tasks. For example, troubleshooting saw a 76% reduction in time, while critical thinking, programming, and technology design all showed over 70% time savings with generative AI.

Interestingly, even human-centric tasks—such as instructing, judgment and decision-making, and management of personnel—benefited from AI tools, with time reductions ranging from 60–70%.

Accelerating Work With AI

While AI is often framed as a replacement for human labor, this data shows that human workers empowered by AI can do the same tasks far more efficiently.

Writing, for example, dropped from an average of 80 minutes to just 25 minutes with generative AI. For complex cognitive functions like mathematics, systems analysis, and operations, AI reduced the time taken to complete tasks by over an hour.

Furthermore, AI adoption is increasing rapidly. According to the survey, LLM adoption at work for respondents aged 18 or older increased from 30% in December 2024 to over 43% as of March/April 2025.

If this trajectory continues, AI-driven productivity gains could scale from individual tasks to entire organizations, and potentially reshaping broader economic outcomes.

AI is transforming how we work and live online, but which companies are leading this new era of technology? Find out in this infographic on Voronoi, the new app from Visual Capitalist.

Tyler Durden
Tue, 07/01/2025 – 18:00…

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Two Chinese nationals arrested in US for espionage

Two Chinese nationals arrested in US for espionage

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Marco Rubio hails end of USAID as Bush, Obama deplore cost in lives

Marco Rubio hails end of USAID as Bush, Obama deplore cost in lives

The US foreign aid agency formally closed down Tuesday, with President Donald Trump’s administration trumpeting the end of the “charity-based model” despite predictions that millions of lives will be lost. Founded in 1961 as John F. Kennedy sought to leverage aid to win over the developing world in the Cold War, the US Agency for […]

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