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The Automation Dilemma: Job Creation or Job Displacement?

The assertion states that automation will result in no net job growth in the private sector, as jobs are being automated away.

Apr 15, 2026|3 min read|Social Signal Playbook Editorial

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The Claim

“Effectively, there's zero net job creation in the private sector. ... people are automating jobs away.”

The assertion states that automation will result in no net job growth in the private sector, as jobs are being automated away.

Original Context

The claim originates from a growing concern regarding the impact of automation on employment, particularly in the private sector. As companies increasingly adopt technologies such as artificial intelligence (AI) and machine learning, there is a palpable fear that these innovations will lead to significant job losses. The source of the claim, 'How to Win With AI in 2026,' emphasizes that the integration of AI into business processes is not merely a tool for efficiency but a transformative force that could fundamentally alter the labor market. The context surrounding this prediction includes a wealth of studies and reports that highlight the potential for automation to replace routine and manual jobs. Notably, the World Economic Forum's 2020 report projected that while automation could displace 85 million jobs by 2025, it could also create 97 million new roles. This duality reflects a tension in the narrative: while automation can enhance productivity, it simultaneously raises questions about the net effect on employment. The discussion is further complicated by varying rates of technology adoption across industries and the differing capacities of workers to transition into new roles created by these advancements.

"AI will never be worse than it is right now. And if you assume any rate of improvement over any reasonable time period, learning how to use AI should become your number one priority, your number two priority, number three priority, and your number 10 priority."

Alex Hormozi— How to Win With AI in 2026

What Happened

Since the claim was made, various sectors have indeed witnessed the effects of automation. Industries such as manufacturing, retail, and customer service have seen substantial job displacement due to automation technologies. For instance, a 2021 McKinsey report indicated that 25% of current work activities could be automated using existing technology, leading to an estimated 70 million jobs at risk in the U.S. alone. However, the narrative is not solely one of loss; there are also emerging sectors and roles that have been created in response to the automation wave. The rise of AI-driven companies like OpenAI and Anthropic has led to new job categories in tech, data analysis, and AI ethics. Nevertheless, the overall sentiment remains that the pace of job creation in these new sectors has not kept up with the rate of job losses, leading to a net stagnation in employment figures. The pandemic further accelerated automation trends, pushing companies to adopt digital solutions rapidly, which has intensified the debate about the long-term implications for job creation versus job displacement.

"There's never been a better time to start an AI first business to disrupt an existing market because all the people in that existing market are so busy running their business rather than learning AI and using words like AI first rather than actually being AI first."

Alex Hormozi— How to Win With AI in 2026

Assessment

The assertion that automation will lead to zero net job creation in the private sector is partially correct but requires a more nuanced understanding. While it is undeniable that automation has displaced a significant number of jobs, particularly in sectors reliant on routine tasks, the broader implications of automation are more complex. The historical perspective reveals that technological advancements have always disrupted labor markets, yet they have also paved the way for new industries and job categories. The key lies in the adaptability of the workforce and the ability of educational institutions and employers to facilitate the transition. The current landscape shows that while certain jobs are being automated away, new opportunities are emerging in fields that require advanced skills. The challenge remains in ensuring that displaced workers can access the necessary training to transition into these new roles. Furthermore, the economic implications of automation extend beyond mere job numbers; they encompass shifts in productivity, wage dynamics, and the overall structure of the labor market. As companies leverage AI and automation to enhance efficiency, the focus should not solely be on job loss but rather on how to harness these technologies to create a more resilient and adaptable workforce. In conclusion, the claim highlights a critical issue in contemporary labor economics, but it oversimplifies the potential outcomes of automation, which can lead to both job displacement and new opportunities.

"the people who can meet that new bar get to stay and the people who don't don't. And I'm sorry and I know that's that's ugly and that's harsh, but like this is reality, right?"

Alex Hormozi— How to Win With AI in 2026

What Has Changed Since

The current state of the job market has evolved significantly since the initial prediction. The COVID-19 pandemic acted as a catalyst, accelerating the adoption of automation technologies across various sectors. In 2023, we observe a more nuanced reality where automation is not simply a job killer but a force that is reshaping job roles and skills required in the workforce. The emergence of hybrid work models and the demand for digital skills have created opportunities that were previously inconceivable. Moreover, the labor market is experiencing a skills mismatch; while certain jobs are disappearing, there is a burgeoning demand for skilled workers in AI, data science, and cybersecurity. The U.S. Bureau of Labor Statistics reported a projected increase in jobs in fields related to technology and healthcare, suggesting that while automation may displace certain roles, it is also creating new opportunities that require a different set of skills. Additionally, the focus on upskilling and reskilling initiatives has gained traction, with companies and governments investing in training programs to prepare the workforce for the future. This shift indicates that the narrative around job creation due to automation is more complex than the original claim suggests.

Frequently Asked Questions

What specific jobs are most at risk due to automation?
Jobs that involve repetitive tasks, such as assembly line work, data entry, and basic customer service roles, are most susceptible to automation. These positions are often easier to automate due to their predictable nature.
How can workers prepare for the changes brought by automation?
Workers can prepare by engaging in continuous learning and upskilling, focusing on developing competencies in areas such as technology, data analysis, and critical thinking, which are less likely to be automated.
What role do governments play in addressing job displacement due to automation?
Governments can play a crucial role by implementing policies that support retraining programs, incentivizing businesses to invest in workforce development, and ensuring a safety net for those affected by job losses.
Are there examples of industries that have successfully adapted to automation?
Yes, industries such as healthcare and technology have seen growth in job creation despite automation, as they require human oversight, creativity, and emotional intelligence, which machines cannot replicate.

Works Cited & Evidence

1

How to Win With AI in 2026

primary source·Tier 3: Low-Authority Context·Alex Hormozi·Mar 31, 2026

Primary source video

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Disclosure: Prediction assessments reflect editorial analysis as of the date shown. Outcome evaluations may be updated as new evidence emerges. This page was generated with AI assistance.

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