In the past, we developed intelligence by education, reading, and life experiences. We are renting it by the hour more and more these days. Artificial minds—models capable of analysis, reasoning, creation, and even advice—are being leased on a subscription basis by companies of all sizes. Training and developing human potential used to be a laborious process, but it has been remarkably simplified into a digital transaction.
The topic of whence intelligence originates is reexamined in Christopher Summerfield’s These Strange New Minds, both philosophically and through the silicon lenses of machine learning. Millions of examples have been used to train these artificial minds, which are now being inserted into everything from legal teams to logistical departments, replacing entire levels of decision-making with something that appears frighteningly efficient and, in certain situations, feels uncannily human.
Businesses can reduce the number of analysts, consultants, and middle managers they need to recruit by subscribing to APIs like Anthropic’s Claude or OpenAI’s GPT models. Rather, they organize groups of hired brains that work around the clock, never miss a day of work, and don’t mind rewriting the same email 400 times. This approach has been especially helpful for businesses who want to grow rapidly without overstretching their payrolls.
On the basis of these capabilities, major firms like Meta are already changing their workflows. According to Mark Zuckerberg, 50% of Meta’s software will be created by AI in the coming year. This audacious prediction reflects a larger trend away from traditional automation and toward cognitive outsourcing. Replacing physical tasks is no longer the goal. It has to do with leasing intelligence.
The way that these hired minds are impacting hiring practices is particularly remarkable. According to an internal study, the majority of employees were practically adding no value, as a Fortune 500 CEO recently admitted. Their primary responsibilities might be completed by AI more quickly, reliably, and efficiently—not because they lacked aptitude. This conclusion is not only thought-provoking, but also revolutionary for medium-sized businesses that are dealing with excessive overhead.
| Category | Information |
|---|---|
| Name | Derek Thompson |
| Profession | Journalist, Author |
| Known For | Writing on economics, technology, culture |
| Primary Platform | The Atlantic, Substack |
| Expertise | Economic trends, AI infrastructure, labor markets |
| Education | Journalism and economics background |
| Reference | https://www.theatlantic.com/author/derek-thompson/ |
This is supported by the economic data. After stagnating at a slow rate of 1 to 1.5% for more than ten years, U.S. productivity growth has significantly improved, gradually surpassing 2% in the past year. The timing is telling, even though correlation does not imply causality. This increase could be partially attributed to AI-powered efficiency gains. While some experts, like Daron Acemoglu, contend that these improvements will be gradual and unequal, others, like Erik Brynjolfsson, think we’re about to enter the “J curve” phase, which is a period of declining productivity prior to the exponential boom.
It’s interesting to note that renting intelligence involves redefining value in addition to economics. In the past, intellect was thought to be a rare, developed quality. It is a versatile asset nowadays. Businesses may now lease access to aggregate information based on the expertise of millions of people, eliminating the need to find the brightest minds. This change is as significant as the introduction of cloud computing, but it involves thinking in the cloud rather than merely storing data.
It has become a very flexible practice. AI is used by law firms to draft arguments. To create campaign copy, marketing firms use hired brains. Neural networks trained in various languages and frameworks collaborate with engineers to co-design goods. This combination of human and artificial intelligence has shown very creative results in hectic settings when there is no time for consideration due to deadlines.
However, not every rented mind is made equal. The more sophisticated ones need a lot of fine-tuning, including human oversight, domain-specific knowledge sources, and carefully chosen prompts. Prompt engineers, whose main competence is being able to communicate with machines in the proper language, now have a new job market. Just two years ago, this position did not exist, yet it is quietly lucrative.
However, there are concerns about this new economy. What happens to those who used to base their professions on knowledge if intellect becomes infinitely rentable? These days, rented versions of themselves—sometimes trained on their own outputs—compete alongside copywriters, teachers, customer service representatives, and even executive assistants. It’s difficult to overlook the irony.
While some believe that this is a sort of empowerment, others see it as a danger to personal creativity. Routine mental labor can be outsourced so that people can concentrate on more creative, strategic work. It’s about improving thought, not replacing it. Businesses are optimizing operations and freeing up human talent for higher-value work by forming strategic alliances with AI platforms.
Notably, hiring minds is fairly inexpensive—especially when contrasted with employee salaries or traditional consulting businesses. Even in sectors with narrow profit margins, like healthcare and education, this affordability is speeding up adoption. AI tutors are already assisting children with math issues and language skills. Users who are experiencing stress, anxiety, or loneliness are finding amazingly effective support from virtual therapists who have received training in cognitive behavioral models.
There are societal and political ramifications to this change in cognitive renting. What will happen to the conventional candidate speech if voters are influenced by AI-generated campaign messaging? What happens to authenticity if influencers start leasing their personas to AI clones for marketing campaigns? Will we continue to appreciate the human story behind a melody when AI musicians create entire albums?
Tech behemoths are conscious of these changes. Massive data centers built by Microsoft, Google, and Amazon are intended to think on demand in addition to storing data. Like energy, renting intellect is becoming become a utility. It is purchased, scaled, and tracked. The incentives are too great to resist, since McKinsey predicts productivity benefits from AI of up to 3.4% annually.
