JP Morgan warns AI could trigger violent job churn while boosting productivity

J.P Morgan predicts that AI will create task churn

JP Morgan believes that Artificial Intelligence (AI) will cause a “violent task churn” in the job market, which means many existing jobs or tasks will disappear quickly. However, the powerful investment bank also strongly predicts that this technological disruption will boost productivity.

This hopeful view is based on over 200 years of examining technological history, tracing the path of significant inventions. Investment strategist Jacob Manoukian suggests the AI revolution will follow the same successful trajectory as the steam engine, electricity, and computers did long ago.

Past technology has always created net job gains

The history of innovations going back more than 200 years demonstrates that while specific industries endured significant disruption, overall employment still saw net gains. This positive outcome means more new jobs were created than old ones were made obsolete.

New breakthroughs like the steam engine and electricity helped companies slash production costs dramatically. These inventions then gave rise to entirely new job functions and industries that more than offset the number of losses from obsolete roles.

AI productivity boom will happen very fast

Jacob Manoukian thinks the AI revolution will repeat this historical pattern, leading to disruption followed by economic growth. As Jacob Manoukian (J.P. Morgan) put it: ‘We think AI could follow the same trajectory: violent task churn, then broad productivity growth.’

He thinks that even people who are usually hopeful about AI are underestimating how fast the next economic boom will be. This speed is specifically forecast based on how quickly past inventions led to widespread, measurable productivity improvements.

The speed of innovation keeps getting quicker

Historically, the time interval between when a new technology is introduced and when a noticeable rise in productivity has steadily shrunk. After introducing the steam engine, it took 61 years for productivity to rise significantly.

That massive waiting period shrank considerably to only 32 years with the coming of electricity. It then shortened to just 15 years with the widespread arrival of computers and the internet, showing a clear acceleration trend.

Jp Morgan estimates a seven-year timeline

Following this historical trend of increasing speed, JP Morgan explicitly estimates that the productivity boom for AI will happen in less than seven years. This is a highly rapid change forecast compared to earlier inventions.

The shift highlights a trend where companies become more efficient, needing fewer workers to earn revenue. Manoukian noted that companies needed eight employees for every $1 million in revenue in the 1980s, which shrank to six by the 2000s.

Some experts predict massive unemployment

JP Morgan’s positive outlook contrasts sharply with the gloomier predictions made by other top experts. Geoffrey Hinton, often called the ‘godfather of AI’ and a 2018 Turing Award laureate (and a Nobel Prize in Physics laureate cited in recent coverage), is among the most vocal critics, warning that AI could cause widespread job loss and worsen inequality.

Hinton warned that AI will create “massive unemployment and enrich a few people while most will become poorer.” This suggests a significant negative impact on wealth equality and the overall middle class due to automation.

AI could eliminate 50% of entry-level jobs

Another major pessimistic prediction came from Dario Amodei, the CEO of the AI firm Anthropic. He stated that AI could wipe out about 50% of all entry-level white-collar jobs within only five years of its adoption.

Mr. Amodei warned that this rapid loss of jobs could cause the overall unemployment rate across the country to spike as high as 20%. Evidence shows that AI is shrinking opportunities, especially for recent college graduates.

Humans will still have key advantages over AI

Even with AI becoming so powerful, JP Morgan’s Manoukian sees significant, enduring advantages that humans will always have over the technology. These are essential skills that artificial intelligence currently struggles with greatly.

These human advantages include common sense, emotional intelligence, and high-stakes accountability. Others are intrinsic motivation, adaptive learning, causal inference (understanding causes), dexterity, or hand skill.

Jp Morgan is a massive technology investor

J.P. Morgan Chase is one of the world’s largest companies, focusing on technology and data. The firm makes huge investments to ensure its operations run smoothly and are secure for its many clients worldwide.

The bank plans to spend about $18 billion yearly on advancing its technology. This massive budget is used to create innovative products, to leverage data more smartly, and to maintain strong security across its many platforms.

The firm built an in-house AI platform, OmniAI

J.P. Morgan has successfully used Artificial Intelligence (AI) and Machine Learning (ML) to detect and stop fraud quickly. They are now working to speed up AI use across all their core business areas.

The bank built its own internal platform called OmniAI, a significant innovation. The name means “all” because it serves all their different businesses and helps them deploy new AI and ML tools quickly and securely.

Jp Morgan built a contract-reading AI, COiN

J.P. Morgan Chase pioneered a powerful AI system to analyze complicated legal documents. This innovative platform is named COiN (Contract Intelligence), and it automates many complex and highly time-intensive tasks.

COiN drastically cut the time needed to review commercial credit agreements from an estimated 360,000 man-hours annually to just seconds. This huge saving frees legal teams to focus on more complex, critical, and strategic tasks.

The bank’s leadership in the computer age

When the Third Industrial Revolution arrived, bringing large computers, J.P. Morgan’s predecessor, Chase Manhattan Bank, was an early adopter. They used the new technology right away to automate many routine banking tasks.

The bank continues this commitment now, as the Fourth Industrial Revolution is rapidly changing everything and merging into the Fifth. They champion new technology by financing, advising, and connecting new tech companies worldwide to drive global innovation.

Moving work to modern cloud infrastructure

To get ready for the massive potential of AI, J.P. Morgan has been intensely focused on modernizing its technology and getting rid of old systems. This considerable, ongoing effort is a shift away from legacy data centers.

The bank has moved about 80% of its critical applications out of those old centers, a significant infrastructure shift. Most of the bank’s valuable analytical data now sits in modern cloud platforms, making it highly usable for AI.

J.P uses a massive number of AI models

J.P. Morgan has an extensive team dedicated to AI and data, which includes over 900 data scientists. The firm uses more than 300 AI cases in production to run its core business processes daily.

The company has increased the number of these models being used by 34% year-over-year, showing a rapid rate of adoption and deployment across all departments. This is a massive effort to apply machine learning to complex problems across the financial system.

The bank’s massive use of generative AI

J.P. Morgan has made AI a key part of its business across the entire company. They have given more than 200,000 employees access to its flagship generative AI platform, a sign of their commitment to enterprise scale.

One helpful tool is EVEE Intelligent Q&A, which uses Generative AI to quickly give answers to specialists who deal with customer inquiries. The firm believes in a “learn-by-doing” approach for training employees on new AI tools efficiently.

Curious how this partnership could change your wallet? Dive into how JPMorgan is nearing a deal to manage the Apple Card program.

AI will be in every part of the bank’s process

J.P. Morgan CEO Jamie Dimon stated that AI will eventually be embedded in “every bank’s processes.” This includes critical areas like trading, market research, equity hedging, and customer service operations.

The company expects AI to be a strong force for significant investment and economic growth over the next decade. Their final view on technology and jobs is clear: “Disruption, not destruction.”

Wondering if shorter weeks are really on the horizon? Read more in Zoom CEO joins Bill Gates and Jensen Huang in predicting AI-powered three-day workweek.

What’s your take, growth or job loss? Share your view in the comments.

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This slideshow was made with AI assistance and human editing.