What’s going on with Google Assistant?

Once upon a time, Google was deeply committed to promoting and improving Google Assistant. It was a central focus at events like the annual Consumer Electronics Show (CES), where Google made sure Assistant was omnipresent both in virtual and physical displays. Assistant quickly became the nucleus around which Google’s other services revolved, marking the beginning of what some called the “post-OS era.”

However, in recent months, something has shifted. Reports indicate that Google’s attention and investment in Assistant seem to have waned. This decline seems to have started in early 2021 when Google announced its focus on developing a new natural language search interface called Bard. Since then, Assistant’s pace of releases has slowed, and instead of adding new features, Google has been removing them. The company also reportedly decided to invest less in developing Assistant for non-Google products.

Even exclusive Assistant features for Google’s own devices have started to fade, with promised rollouts never materializing. Users have also experienced frustrating issues with Assistant’s performance, with commands often failing to be understood or executed correctly. These problems have been reported across various platforms, including Android Auto.

This decline has led to speculation that Assistant’s days might be numbered, especially with the emphasis on developing Bard. However, when reached out for clarification, Google provided a vague statement about its commitment to building a high-quality Assistant without addressing the specific issues raised.

Shortly after these inquiries, an internal email from Google surfaced, indicating upcoming changes to Assistant’s strategy. The leaked email revealed plans to reorganize Assistant teams and revamp the service to adopt a more Bard-like chatbot-style system.

In conclusion, it seems that Google is indeed shifting its Assistant strategy, but the lack of public communication and ongoing issues with the current version of Assistant have left users and observers concerned about its future.

Posted in

Aihub Team

Leave a Comment





AI in Agriculture

AI in Agriculture

The Future of Intelligent Content Management, Semantic AI, and Content Impact

The Future of Intelligent Content Management, Semantic AI, and Content Impact

The Future of Enterprise Content in the Era of AI

The Future of Enterprise Content in the Era of AI

The Art of the Practical - Making AI Real

The Art of the Practical – Making AI Real

AI: Making Data Protection Simpler

AI: Making Data Protection Simpler

Will Generative AI Aid Instead of Replace Workers?

Will Generative AI Aid Instead of Replace Workers?

UK: AI’s Impact on Workplace Safety

UK: AI’s Impact on Workplace Safety

Stay Abreast of Laws Restricting AI in the Workplace

Stay Abreast of Laws Restricting AI in the Workplace

Oracle introduces generative AI capabilities to support HR functions and productivity

Oracle introduces generative AI capabilities to support HR functions and productivity

Discovering hidden talent: How AI-powered talent marketplaces benefit employers

Discovering hidden talent: How AI-powered talent marketplaces benefit employers

Understanding Machine Learning Algorithms

Understanding Machine Learning Algorithms

Understanding Generative Adversarial Networks (GANs)

Understanding Generative Adversarial Networks (GANs)

The Impact of AI on the Job Market and Future of Work

The Impact of AI on the Job Market and Future of Work

The Basics of Artificial Intelligence

The Basics of Artificial Intelligence

Reinforcement Learning: Training AI Agents to Make Decisions

Reinforcement Learning: Training AI Agents to Make Decisions

Natural Language Processing Unleashing the Power of Text

Natural Language Processing Unleashing the Power of Text

How AI is Transforming Industries

How AI is Transforming Industries

Exploring Neural Networks and Deep Learning

Exploring Neural Networks and Deep Learning

Ethical Considerations in Artificial Intelligence

Ethical Considerations in Artificial Intelligence

Computer Vision and Image Recognition in AI

Computer Vision and Image Recognition in AI

ARTIFICIAL INTELLIGENCE IN LOGISTICS

ARTIFICIAL INTELLIGENCE IN LOGISTICS

On Artificial Intelligence - A European approach to excellence and trust

On Artificial Intelligence – A European approach to excellence and trust

AI in Healthcare Advancements and Applications

AI in Healthcare Advancements and Applications

AI in Financial Services: Opportunities and Challenges

AI in Financial Services: Opportunities and Challenges

AI in Customer Service: Improving User Experience

AI in Customer Service: Improving User Experience

AI and Robotics: Synergies and Applications

AI and Robotics: Synergies and Applications

AI and Data Science: Bridging the Gap

AI and Data Science: Bridging the Gap

Top 10 emerging AI and ML uses in data centres

Top 10 emerging AI and ML uses in data centres

Piero Molino, Predibase: On low-code machine learning and LLMs

Piero Molino, Predibase: On low-code machine learning and LLMs

OpenAI’s first global office will be in London

OpenAI’s first global office will be in London