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The Evolving Bar for 'Capable' AI: A Continuous Shift

The standards for what qualifies as 'capable' AI will keep rising over time.

May 28, 2026|3 min read|Social Signal Playbook Editorial

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The Claim

“obviously, capable is the bar is going to continue to shift over time.”

The standards for what qualifies as 'capable' AI will keep rising over time.

Original Context

The assertion that 'the bar for what constitutes capable AI usage will continuously rise over time' reflects a growing consensus among industry experts regarding the rapid pace of technological advancement in artificial intelligence. As businesses increasingly integrate AI tools into their operations, the definition of 'capable' is not static; it evolves with both user expectations and technological capabilities. In 2026, discussions around AI tools like Claude and ChatGPT highlighted that businesses leveraging these technologies were not just looking for basic functionalities but rather sophisticated, nuanced applications that could drive revenue growth and enhance operational efficiency. This context is critical because it sets the stage for understanding how businesses perceive AI not merely as an adjunct but as a core component of their strategic frameworks. The original commentary emphasized that as AI tools become more integrated into business processes, the expectations for their performance will escalate, leading to a continuous redefinition of what 'capable' means in practical terms.

"The challenge with AI right now is that a lot of companies, maybe 9% of companies are actually shipping AI at scale. The other 91% they're experimenting or they just haven't started at all."

Eric Siu— How to Use AI to Grow Revenue in 2026

What Happened

Since the claim was made, the landscape of AI has witnessed significant developments that underscore the assertion's validity. Major players like Google and Meta have released advanced AI tools that not only automate tasks but also provide insights that were previously unattainable. For instance, Google Ads has incorporated AI-driven features that optimize ad placements in real-time, while Salesforce's AI capabilities have transformed customer relationship management by predicting client needs before they arise. These advancements have set a new standard for what businesses consider capable AI. Additionally, the emergence of platforms like WhisperFlow and singlebrain.com has further complicated the landscape, offering specialized AI solutions that cater to niche markets. The demand for these advanced capabilities has surged, leading companies to reevaluate their AI strategies continually. As a result, businesses are increasingly investing in AI training and development to ensure their teams can leverage these tools effectively, further raising the bar for what constitutes capable AI usage.

"Open loops where it's like, 'Hey, I'm going to ping you over here on Slack. Can you check this over here? Can you give me the update on this over here? What are the notes? What's the handoff over here? Hey, please don't forget this. Hey, just following up over here.' That way doesn't work anymore because you have a human in the loop, then you have a lot of manual follow-up, and then status unknown, and then the human forget as well, and the work leaks out."

Eric Siu— How to Use AI to Grow Revenue in 2026

Assessment

The assertion that the bar for capable AI will continuously rise over time is not only accurate but also reflective of the broader trends in technology adoption and business strategy. As AI tools become more sophisticated, businesses are compelled to adapt their expectations and usage accordingly. This dynamic creates a feedback loop where advancements in AI capabilities lead to higher expectations from users, which in turn drives further innovation. For instance, the integration of AI into platforms like Slack and Microsoft Teams has revolutionized workplace communication, making real-time collaboration more efficient and effective. Companies that fail to keep pace with these evolving standards risk obsolescence, as they may find themselves unable to compete in a market where AI is increasingly central to operational success. Moreover, the ethical considerations surrounding AI usage are becoming more pronounced, with organizations needing to balance capability with responsibility. This adds complexity to the assessment of what constitutes capable AI, as businesses must now consider not only performance but also the implications of their AI strategies on society. Overall, the continuous rise in the standards for capable AI reflects a broader trend towards more intelligent, responsible, and integrated technology solutions that are essential for future business success.

"Output exists, ownership is fuzzy."

Eric Siu— How to Use AI to Grow Revenue in 2026

What Has Changed Since

The current state of AI adoption and usage has shifted dramatically since the original claim was articulated. The proliferation of generative AI technologies, such as OpenAI's ChatGPT and Google's Gemini, has not only enhanced the capabilities of AI but has also democratized access to sophisticated tools. This democratization means that even small businesses can now utilize AI in ways that were previously limited to large enterprises. Furthermore, the integration of AI into everyday business applications—like CRMs, sales intelligence tools, and analytics platforms—has become more seamless, allowing for real-time data processing and decision-making. As organizations adapt to these changes, the definition of 'capable' AI has expanded to include not just functionality but also adaptability, scalability, and the ability to deliver personalized experiences. The shift towards ethical AI usage and regulatory considerations has also influenced how businesses assess AI capabilities, adding another layer to the evolving standards. In this context, the bar for capable AI is not just about performance metrics; it encompasses a broader understanding of user experience, ethical implications, and long-term sustainability.

Frequently Asked Questions

What factors contribute to the rising standards for capable AI?
The rising standards for capable AI are influenced by technological advancements, user expectations, and the increasing integration of AI into business processes. As tools become more sophisticated, businesses demand more from these technologies, pushing the boundaries of what is considered capable.
How do businesses adapt to these evolving standards?
Businesses adapt by investing in training and development for their teams, ensuring they can leverage advanced AI tools effectively. They also continuously evaluate and update their AI strategies to align with new capabilities and market demands.
What role does ethical AI play in defining capable AI?
Ethical AI is becoming a critical component of what defines capable AI. Organizations are increasingly required to consider the social implications of their AI usage, ensuring that their technologies are not only effective but also responsible and fair.
Can small businesses keep up with the rising bar for AI capabilities?
Yes, small businesses can keep up as the democratization of AI technologies allows them access to sophisticated tools that were once only available to larger enterprises. This shift enables them to compete more effectively in the market.

Works Cited & Evidence

1

How to Use AI to Grow Revenue in 2026

primary source·Tier 3: Low-Authority Context·Leveling Up with Eric Siu·May 28, 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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