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GVFeaturing Gary Vaynerchuk

AI's Role in Commoditizing Talent: A Double-Edged Sword

AI will reduce the value of mediocre talent while significantly boosting the productivity and success of highly skilled individuals.

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

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The Claim

it's going to commoditize a lot of the people that are not good and it's going to make the ones that are good exceptionally productive and successful.

AI will reduce the value of mediocre talent while significantly boosting the productivity and success of highly skilled individuals.

Original Context

In a 2025 Q&A session, Gary Vaynerchuk articulated a bold prediction regarding the impact of artificial intelligence on the workforce. He stated, "it's going to commoditize a lot of the people that are not good and it's going to make the ones that are good exceptionally productive and successful." This assertion emerged from a broader conversation about the evolving landscape of social media and digital marketing, where the ability to leverage technology effectively has become paramount. Vaynerchuk's comments were rooted in the observation that as AI technologies advance, they will automate many tasks traditionally performed by average performers, thereby diminishing their market value. This prediction aligns with ongoing discussions about the future of work, where the disparity between skilled and unskilled labor is increasingly pronounced. The context of this prediction is critical, as it reflects a growing concern among professionals about job security in an era defined by rapid technological change. As platforms like TikTok, Instagram, and LinkedIn evolve, they not only serve as marketing tools but also as battlegrounds for talent, where the ability to stand out is becoming more challenging for the average individual.

"there's only two things in business. There's marketing and then there's sales."

Gary VaynerchukThe Surprising Thing You Can Do On Social Media To Boost Your Business | GaryVee Q&A w/ Forward

What Happened

Since Vaynerchuk's prediction, the landscape of work has indeed shifted significantly. The rise of generative AI tools, such as ChatGPT and various content creation platforms, has led to a marked increase in productivity among skilled professionals. For instance, marketers and content creators are now able to produce high-quality work at unprecedented speeds, leveraging AI to enhance their creative processes. Reports indicate that businesses utilizing AI-driven tools have seen productivity gains of up to 40%, particularly in sectors like marketing and design. Conversely, the impact on mediocre talent has been stark. Many roles that required basic skills—such as data entry, simple content creation, and customer service—have been automated or streamlined, leading to a reduction in demand for individuals who lack specialized skills. A study by McKinsey found that up to 30% of jobs could be automated by the mid-2030s, particularly affecting those with lower skill sets. This has created a bifurcated job market where the divide between high and low performers is not just pronounced but increasingly consequential. The narrative surrounding job security has shifted, with many workers feeling the pressure to upskill or risk obsolescence as AI continues to evolve.

"Value comes in all shapes and sizes. Being funny is value. mentorship, coaching, skill set learning, those things are value, too. It's just value."

Gary VaynerchukThe Surprising Thing You Can Do On Social Media To Boost Your Business | GaryVee Q&A w/ Forward

Assessment

Vaynerchuk's prediction about AI commoditizing mediocre talent while enhancing the productivity of skilled individuals holds substantial merit, though it requires nuanced interpretation. The evidence suggests that AI is indeed automating many functions traditionally performed by average workers, leading to a significant reduction in demand for roles that do not require specialized skills. This trend is not merely a theoretical concern; it is manifesting in real-time as companies streamline operations and seek efficiency through technological integration. However, the assertion that AI will solely enhance the success of skilled individuals overlooks the complexities of the job market. While it is true that skilled workers are reaping the benefits of AI, the landscape is not uniformly positive. The pressure to continuously upskill and adapt to new technologies creates a precarious environment for even those who are currently successful. Moreover, the notion of 'skill' itself is evolving; what was once considered a valuable skill set may quickly become obsolete in the face of rapid technological advancement. Thus, while the prediction captures a significant shift in the labor market, it also highlights the need for ongoing education and adaptability among all workers. The future will likely see a more stratified workforce, where the ability to leverage AI becomes a defining characteristic of success, but this also raises questions about equity and access to education and training.

"The problem for almost everyone is when they get excited to make a piece of content, it's to tell somebody to buy a house from them."

Gary VaynerchukThe Surprising Thing You Can Do On Social Media To Boost Your Business | GaryVee Q&A w/ Forward

What Has Changed Since

The current state of play is characterized by a rapid acceleration in AI adoption across various sectors, fundamentally altering the job market dynamics. Companies are increasingly investing in AI technologies not just for efficiency but as a strategic necessity to remain competitive. This has led to a surge in demand for skilled professionals who can harness AI tools effectively, creating a talent shortage in areas like data science, machine learning, and digital marketing. The proliferation of AI tools has also democratized access to high-level capabilities, allowing skilled individuals to amplify their output significantly. For example, platforms like YouTube and Instagram have seen a rise in content creators who utilize AI for video editing and audience engagement, leading to unprecedented levels of productivity and creativity. However, the commoditization of mediocre talent has intensified, with many traditional roles being rendered obsolete. The gig economy has also been affected, as platforms increasingly favor individuals who can demonstrate unique skills or leverage AI effectively. This shift has created a pressing need for continuous learning and adaptation among workers, as the skills that were once sufficient are now being outpaced by technology. Thus, the landscape has evolved into one where the disparity between skilled and mediocre talent is not only widening but is also reshaping the very fabric of employment.

Frequently Asked Questions

How is AI specifically commoditizing mediocre talent?
AI automates routine tasks traditionally performed by average workers, leading to reduced demand for low-skill roles. This automation diminishes the market value of individuals who do not possess specialized skills.
What types of jobs are most affected by AI commoditization?
Jobs in data entry, simple content creation, and customer service are particularly vulnerable to automation, as AI tools can perform these tasks more efficiently.
How can skilled individuals leverage AI for productivity?
Skilled professionals can use AI tools to enhance their creative processes, automate repetitive tasks, and analyze data more effectively, thereby increasing their overall productivity.
What are the implications of this talent commoditization for the future workforce?
The commoditization of mediocre talent may lead to a more stratified job market, where success is increasingly dependent on the ability to adapt and leverage new technologies. This raises concerns about job security and equitable access to skill development.

Works Cited & Evidence

1

The Surprising Thing You Can Do On Social Media To Boost Your Business | GaryVee Q&A w/ Forward

primary source·Tier 1: Official Primary·GaryVee·Apr 9, 2025

Primary source video

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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