The AI Hype Cycle: Linas Beliūnas on Replacing AI with Employees

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Linas Beliūnas

LinkedIn Author

Writing the only newsletter you need for Finance & AI at 🔔linas.substack.com🔔 | Scouting for top startups to invest in 💸 | Financial Technology | FinTech | Artificial Intelligence | VC

In a recent LinkedIn post, Linas Beliūnas offers a wry perspective on the evolving role of artificial intelligence in the corporate world, suggesting a potential cyclical pattern of adoption and disillusionment. Beliūnas frames the current discourse around AI as a potential reinvention of familiar business processes rather than a truly revolutionary leap.

The post, which has garnered attention for its concise yet pointed commentary, begins by humorously projecting a near-future scenario for businesses:

“Companies in 2025: ‘To cut costs, we’re replacing employees with AI’. Companies in 2026: ‘To cut costs, we’re replacing AI with employees’.”

This stark juxtaposition, as highlighted by Beliūnas, implies a potential overestimation of AI’s current capabilities or an underestimation of the complexities involved in integrating it effectively into business operations. The core of Beliūnas’s argument seems to revolve around the gap between the promised advancements, such as Artificial General Intelligence (AGI), and the reality of current AI applications.

The Promise vs. The Reality of AI Adoption

Linas Beliūnas points out the discrepancy between the grand visions of AGI and the practical outcomes of current AI implementations. He suggests that the much-heralded wave of AI adoption might ultimately lead businesses back to relying on human capital, albeit perhaps with different roles or expectations.

“We were promised AGI,” Beliūnas writes, underscoring a sentiment of unmet expectations. This observation resonates with many in the business community who are navigating the hype surrounding AI. The transition from human expertise to AI-driven processes, and potentially back again, suggests a learning curve for organizations attempting to leverage these technologies for cost-cutting and efficiency gains.

Innovation or Reinvention?

Beliūnas challenges the notion that current AI adoption represents pure innovation, proposing instead that it might be a form of reinvention, particularly in areas like hiring and workforce management.

“Turns out, we just reinvented hiring again.”

In Beliūnas’s view, the drive to implement AI for cost reduction may simply be repackaging age-old business challenges. The complexities of managing a workforce, optimizing operations, and driving genuine productivity might not be fully solvable by current AI tools, leading to a reassessment of the human element. He concludes with a sardonic remark on the nature of this perceived progress:

“Innovation at its finest.”

This closing statement from Beliūnas serves as a critical commentary on the current state of AI integration, urging a more grounded and realistic approach to its adoption. While Beliūnas’s post does not delve into specific technical details, it effectively captures a prevalent sentiment regarding the practical application and future trajectory of AI in the corporate landscape, prompting reflection on whether current advancements truly represent a paradigm shift or a sophisticated iteration of existing business practices.

📝 About This Content

This article is based on insights shared by Linas Beliūnas on LinkedIn.

📅 Originally posted on May 2, 2026 | View original post on LinkedIn →