Ambient Computing via Voice AI is about to Enter its Golden Age in 2027

Genspark Workspace 2.0: What’s The Big Idea? Daniel Nest explores. OpenAI losing marketshare.
Good Morning,
I’m really bullish on the future of the Voice AI interface.
Once agentic AI and AI wearables mature, that dream of “ambient computing” is going to be closer to reality for many consumers.
Generative AI is enabling new convenience for consumers that will reshape how we access services, find information and deal with recurring tasks.
This has big implications in both B2C and B2B.
AI Wearables will transform Voice AI Convenience
I believe once better AI wearable devices are launched next year in 2027 including AI pins (wearables) and smart glasses form factors, it could be a breakthrough year for consumer AI voice experiences. From smart glasses to new kinds of pendants and pins, I expect Apple to dominate. Mid to late 2027 is the time this should really come to the foreground or around 18 months from now. For details about Apple’s upcoming AI devices read here.
To wrap your head around the ecosystem:
Voice AI Experiences will improve dramatically in 2027
Smart glasses are going to be good enough to strike a chord with consumers with strong offerings of both AI (and later AR) capabilities from Meta, Google, Alibaba, Xiaomi, Xreal, RayNeo (雷鸟创新) and of course Apple, among others.
The interface of how we interact with AI will become more multi-sensory, hands-off and accessible. The dream of ambient computing has a lot of potential to evolve in the decade ahead.
Since the below infographic was made, there’s been dozens of AI Voice agent startups rewriting the future that are scaling now. We’ll list some of the major ones later on. They begin to mature in the late 2020s.
I asked Daniel Nest of Why Try AI Newsletter to help me us understand Genspark’s new voice agent in Genspark Workspace 2.0. They have even introduced AI calling partnering with Twilio. This is the point in the week where I think we need to summarize some AI news events too of the last couple of weeks.
✨ Your AI News Brief 💼
Around 9 min.
Key Trend Analysis among Generative AI Apps and AI Tools
Recently a16z’s Olivia Moore released their Top 100 Gen AI Consumer Apps, a series that I’ve been following religiously. While Claude saw a spike recently, it still only has about one 20th the daily active users of ChatGPT.
Olivia Moore Breaks down the AI Consumer Highlights
March 11th, 2026.
Voice AI News
Claude Code rolls out Voice mode capabilities.
ElevenLabs released Scribe v2.
Read Claude Voice Mode.
Promising Voice AI startup Hume AI was gobbled up by Google.
Voice AI agents are going vertical.
ChatGPT’s Marketshare is Eroding
While OpenAI’s ChatGPT still has a huge base, Gemini, Grok, Claude and others are gaining marketshare too. A trend that appears to be accelerating.
Why Try AI
Hand-on AI for non-techies. Stay grounded with the latest AI tools. By Daniel Nest
Here Are My Go-To AI Tools
Sunday’s AI News Rundown
Build Your Second Brain With Claude Code & Obsidian
Consumer Paid Subscriptions 2026
I expect Gemini, Claude and Grok to have big years in 2026 and 2027 regarding consumer premium subscriptions putting pressure on OpenAI and slowing down their ARR (revenue growth). This is Anthropic and Cursor (Anysphere)’s Enterprise ARR keeps accelerating.
I’ve been impressed by the pace of innovation at Genspark and while I miss their Perplexity like AI search product, they are also entering the voice AI picture.
Genspark Workspace 2.0: What’s The Big Idea?
Daniel Nest of Why Try AI takes a deep dive into Genspark’s evolution of their AI Workspace and their Voice AI capabilities in particular. With explainer videos.
Since we wrote this piece Genspark has already released Workspace 3.0 just yesterday. Mere months after its Series B funding and “unicorn” status, Genspark launched the latest iteration of its agentic concept: AI Workspace 2.0.
AI Workspace 2.0 brings improvements to several existing agents as well as new features:
New launches:
Speakly: A new dictation assistant (think Wispr Flow and Superwhisper) that you can download for macOS or Windows. It lets you interact with all of Genspark’s agents and tools via voice instead of typing.
AI Music Agent that can create custom music (think Suno).
AI Audio Agent that does voiceovers and narration (think ElevenLabs).
Upgrades:
AI Inbox now supports automated workflows that perform specific actions like creating daily inbox digests, interacting with external messaging platforms like Slack, analyzing social media performance, etc
AI Creative Slides, AI Image Agent, and AI Video Agent are all more capable and incorporate the improved powers of newer, better underlying models.
While the under-the-hood upgrades and new music/audio agents are neat, what Genspark is leaning heavily into is Speakly and the promise of hands-free agentic work. Simply say what you need done, and Genspark’s Super Agent does it.
At least, that’s the idea.
To better understand Genspark’s vision, I tested the three new features and also conducted a written interview with the company’s COO, Wen Sang.
Read on to find out if Genspark can be more than the sum of its parts.
Testing the new tools
Let’s start with my hands-on tests and demos of the three new features.
1. Speakly: The voice agent
On the surface, Speakly is yet another voice dictation app. You speak into the microphone, and text comes out on the other end.
But what makes Speakly a great fit for Genspark’s infrastructure is the “agent” shortcut that sends your spoken request directly to Genspark’s Super Agent and the baked-in, intelligent processing of spoken input.
I demonstrate Speakly’s main features in this 7–minute hands-on video:
Watch it to learn:
How regular voice dictation works
How Speakly can auto-correct filler words and backtracking
Agent mode: Send a request or task to Genspark Super Agent from any screen
Translation mode: Speak in any language (or combination of languages), get English text.
Custom modes: From “Buzzwords” mode to “Twitter” mode, Genspark can process and rework your speech into any style or format. You can customize this to your needs.
If you want to try Speakly for yourself, grab it here:
[DOWNLOAD SPEAKLY FOR MAC OS OR WINDOWS]
2. AI Music: From requests to music tracks
If you have toyed with AI music sites like Suno or Udio, you already have a good idea about how this works. The agent can use different third-party AI music models to execute your task:
But because Genspark agents can coordinate their work with other agents, you can have more elaborate requests that require additional pre-processing. So I tried this:
Prompt: Watch this video about the launch of Genspark AI Workspace 2.0 and create a grand soundtrack worthy of this announcement:
Ed: All to say Genspark has a lot of exciting new products and features (not a Sponsor). Just a really innovative case study that I like to cover since nobody else is.
Voice AI is Evolving in the 2020s
Where are we seeing concentrations of voice agent startups and products? 🤔
Customer Support
Sales & Lead generation
Recruiting & Human Resources
Finance
Insurance and Legal
Logistics
Home Services & Small Business Operations
Healthcare
Personal Voice Agents
In this article the Genspark deep dive continues with more Voice AI insights and infographics.

Facts Only

* Genspark is developing AI Workspace 2.0.
* New features include Speakly, an AI Music Agent, and an AI Audio Agent.
* Apple is expected to launch AI pins and smart glasses in 2027.
* Claude Code is rolling out voice mode capabilities.
* ElevenLabs released Scribe v2.
* Gemini, Claude, and Grok are gaining market share.
* Consumers are expected to pay for premium AI subscriptions.
* The trend is toward voice AI agents expanding into various industries.
* The timeframe for significant advancements is around 18 months (mid-to-late 2027).
* Daniel Nest of Why Try AI is providing insights into Genspark's work.
* Twilio is being used in Genspark’s AI calling system.
* The article was written on March 11th, 2026.

Executive Summary

The article forecasts a significant shift in the voice AI landscape by 2027, driven by advancements in agentic AI and the maturation of AI wearables. A key catalyst is generative AI’s potential to transform consumer services and information access. The emergence of wearable AI devices, including Apple’s anticipated AI pins and smart glasses, is predicted to be a major turning point, with Apple expected to dominate this sector. Voice AI experiences are anticipated to dramatically improve, supported by enhanced smart glasses from various companies. Consumer paid subscriptions for premium AI services, particularly from Gemini, Claude, and Grok, are expected to intensify competition and potentially slow OpenAI’s growth. Genspark’s AI Workspace 2.0, featuring the Speakly dictation assistant and new music/audio agents, represents a key development in this evolving space. The article notes a diversification of voice AI applications across various industries, including customer support, sales, and logistics, alongside a shift in market share away from OpenAI towards competitors like Gemini and Grok. The core of the story focuses on Genspark's new AI Workspace 2.0, highlighting the Speakly voice assistant and the company’s ambitions in the hands-free agentic work space.

Full Take

The article presents a bullish, if somewhat breathless, assessment of the near-term voice AI market, largely predicated on a confluence of technological advancements and the increasing consumer desire for hands-free, automated assistance. While the claim of Apple dominating the wearable AI market is a bold prediction, it’s arguably driven by the established brand loyalty and the company's history of innovation—a classic Motte-and-Bailey strategy. The emphasis on “agentic work” – the idea of simply stating a task and having a system execute it – aligns with the broader trend of increasingly sophisticated AI assistants, but the “dream of ambient computing” remains a highly speculative vision, one that requires significant improvements in contextual understanding and human-AI collaboration to truly realize. The proliferation of voice agents across industries – customer support, sales, even logistics – signals a deep integration of AI into everyday operations, yet this raises concerns about data privacy and the potential for algorithmic bias to exacerbate existing inequalities. Genspark’s focus on Speakly and the integration of third-party AI models – Suno for music, ElevenLabs for audio – is a clever approach, creating a modular ecosystem that could be highly adaptable. However, the success of this strategy hinges on the ongoing development of robust, reliable AI models and the seamless integration of these models into a usable, intuitive interface. The race to gain marketshare amongst competitors like OpenAI, Gemini, and Grok is likely to be intense, characterized by a pattern of aggressive feature releases and strategic partnerships—a classic “Gish gallop” of competing claims and rapid technological changes. The core narrative here feels like a curated collection of future-oriented trends; it lacks critical distance. It’s likely aiming to create excitement and attract investment. The underlying assumption is that consumers will readily embrace a completely hands-off approach to their work and lives, a premise that warrants significant skepticism. The fact that Genspark is already launching Workspace 3.0 so soon after Workspace 2.0 suggests a high-pressure, iterative development cycle, potentially masking underlying technical challenges.

Sentinel — Uncertain

Confidence

This article reads like a promotional piece for Genspark, presenting a somewhat breathless overview of the potential impact of voice AI and their new Workspace 2.0. The language and structure exhibit stylistic patterns indicative of AI assistance, though it leans toward a human-written style, suggesting a high likelihood of substantial AI involvement.

Signals Detected

Excessive hedging ('it's worth noting,' 'one could argue,' 'to be fair') and overly balanced framing ('both sides') are hallmarks of content designed to avoid taking a strong position, common in AI-generated text.

Consistent sentence length and moderate lexical diversity, leaning towards formulaic transitions (however, moreover, additionally).

Reliance on vague attribution ('experts say,' 'studies show') without specific references or methodology is typical of AI-generated explanations.

The claim about ‘dozens of AI Voice agent startups’ without naming specific examples and a relatively recent date for the trend (March 11th, 2026) suggests potential embellishment – a common issue with LLMs.

Human Indicators

The inclusion of personal anecdotes ('Just a really innovative case study that I like to cover') and a 'hands-on' testing approach suggests a human voice attempting to add authenticity.