Artificial Intelligence (AI) is moving directly into Slack, Meta apps, music platforms, and streaming services. Instead of merely writing answers, it can build interactive reports, complete tasks in connected accounts, transform music, or adjust lip movements to match dubbed dialogue. That makes AI easier for you to access, although regional, technical, and legal restrictions often still apply.
What you can try today
Slack is expanding its Slackbot assistant with Surfaces: interactive reports, polls, presentations, microsites, and dashboards, meaning visual overviews that can display changing information. You describe what you need in a chat, and Slackbot gathers material from permitted conversations and connected apps such as Google Drive or Salesforce. According to the Slackforce Surfaces announcement, you can share the result with colleagues, pin it to a channel, collect comments, and let the team interact with it.
One specific example is an interactive dashboard that breaks down AI token use across sales, design, and engineering teams. Tokens are small units of text that many AI services use to measure activity. Another suggested use is a live view of a customer support queue that multiple employees can monitor together. Slack says the feature is available to all customers, but the source does not provide a separate price.
Meta takes a different approach with Muse. This AI agent, software that carries out multistep tasks on your behalf, can manage email, plan trips, and help with online shopping. Muse operates through a cloud-based virtual computer and is available as an app, on the web, and through WhatsApp. The major restriction is geographic: Muse is currently limited to the United States, so it is not regularly available in Switzerland.
Early usage figures show interest rather than an uncontested hit. According to market intelligence company Sensor Tower, Muse received more than 83,000 US downloads on iOS and reached second place in the App Store charts. The comparison with other app launches adds context: Threads recorded more than 4.3 million US downloads on its first day, Meta AI had 108,000, and ChatGPT exceeded half a million in less than a week. Muse ranked only No. 338 in Google Play’s Productivity category, although the estimates exclude its web and WhatsApp use.
How the features take work off your plate
Slack and Muse represent two distinct kinds of assistance. Slackbot stays within a shared workspace and turns existing information into a tool that colleagues can use. Muse reaches into personal accounts and performs actions inside them. In both cases, convenience is closely tied to how much data and how many permissions you give the service.
A hands-on test of Muse illustrates the trade-off. The reviewer connected a Google account and asked Muse to delete thousands of promotional messages and updates from Gmail. The sign-in process repeatedly failed on mobile but eventually worked on a laptop. Completing the task required permission to read and delete email, which is a substantially broader form of access than submitting an isolated prompt to a chatbot.
For another test, the reviewer connected an Amazon account and asked Muse to find workout tops in a particular size, style, and set of colors. Before the purchase, the agent noticed unrelated products in the shopping cart and asked whether they should be removed. That was useful, but it also demonstrated how closely the service could inspect account contents and personal preferences. In the hands-on Muse report, the amount of information gathered overshadowed the fact that the tasks generally worked.
Meta says Muse exchanges only the information that third-party apps need to complete your task and does not share your data with advertisers. That is a provider claim and was not independently verified in the supplied sources. Slack likewise says Surfaces will access only information you have authorized its AI tools to use. Managing permissions is therefore a core part of both products, not merely another dialog box to dismiss as quickly as possible.
What creators and viewers get
In music, AI is also shifting from uncontrolled experiments toward licensed services. Universal Music Group and ElevenLabs are developing a platform where fans will be able to create remixes, mashups, and alternative versions using music from Universal’s catalog. A mashup combines elements from multiple tracks into a new piece. The plans also mention “personalized voice experiences,” although the companies have not explained what that means.
The platform remains in development, with no launch date announced. It will include only music from artists who actively choose to participate. The service will also remain separate from ElevenMusic, ElevenLabs’ existing song generator, and from the company’s developer interface. The multiyear licensing agreement is ElevenLabs’ first with a major music company.
Universal is separately developing another AI music platform with Udio and has licensing agreements with Spotify, Nvidia, and Klay. According to the Universal and ElevenLabs announcement, artists and songwriters are meant to receive fair compensation, but the precise payment, pricing, and usage models remain unspecified. Licensing gives you more clarity than a tool with an uncertain training or rights basis, but it does not by itself prove that the eventual arrangement will be fair.
On Prime Video, AI intervenes less visibly. Amazon uses “Visual Dubbing,” a combination of AI and visual effects, to alter lip and facial movements so they match dialogue in another language. The visually adjusted English dub of the first two seasons of Maxton Hall is already available worldwide, and the feature is also planned for the third season. Human voice actors still provide the dialogue; according to the report on Amazon’s Visual Dubbing, only the image is modified.
Pocket FM shows how deeply AI can already enter audio production. According to the company, AI supports 93 percent of its overall catalog and 99 percent of newly produced material. Human creators continue to supply ideas and stories, while proprietary models help with tasks such as writing and turning text into speech. Pocket FM says production is now about 80 times cheaper and that 100 hours of content can be completed in a day instead of roughly a year; these claims have not been independently verified.
More than 550,000 creators now produce about 2.5 million hours of AI-assisted material each year, according to Pocket FM. The company also reports a library of more than 770,000 audio series and an annualized revenue run rate that doubled to $500 million. The report on Pocket FM highlights the tension: AI can provide more choice, but it can also create a volume of content that becomes difficult to navigate without careful selection.
Pros and Cons of AI in everyday apps
Pros:
- Fewer tool changes – Slack can create reports and shared views where the team already communicates.
- Practical assistance – Muse can handle substantial tasks such as cleaning an inbox or searching for products.
- New creative access – Licensed music catalogs can support remixing without treating the participants’ consent as optional.
- More convincing localization – Adjusted lip movements can improve dubbed shows while retaining performances by human voice actors.
Cons:
- Extensive data access – Email, shopping, and workplace accounts reveal far more personal information than a single prompt.
- Limited availability – Muse is restricted to the US, while the Universal platform has no announced launch date.
- Unclear costs and rights – Several sources provide no pricing or detailed compensation and usage terms.
- Volume without clarity – Dramatically cheaper production can fill platforms with material without automatically improving its quality.
What this means for you
If you are a beginner, start with a narrowly defined task whose result you can verify. In Slack, you could create a basic project overview or poll from an approved channel, then check which messages and connected apps contributed information. On a streaming service, you can compare a visually adjusted dub with a conventional version without connecting additional personal accounts.
As an advanced user, you will get more value by deliberately managing permissions, data sources, and sharing settings. A customer support team could build a shared dashboard, for example, but should first decide which conversations and customer details may be included. With an agent such as Muse, separate test accounts, limited instructions, and human confirmation before purchases or deletion are more prudent than broad access to your digital life.
For Switzerland, availability is mixed. Slack describes Surfaces as being available to all customers, whereas Muse is ruled out for now by its US restriction. Amazon’s visually adjusted English version of Maxton Hall is available worldwide, but the sources provide no details about Swiss languages, regional prices, or a Swiss launch for the music platform. Data protection and the location where information is processed also remain open issues for personal and workplace accounts, with no Switzerland-specific details in the supplied reports.
AI in everyday apps is becoming more practical and less conspicuous: it can sit inside a report, a shopping cart, a remix, or even a performer’s lip movement. The immediate value is persuasive when a task is clearly bounded, while availability, pricing, and rights frequently remain unsettled. The largest unresolved risk is broad access to personal or organizational data, since convenience and control do not automatically advance at the same pace.
Sources
- Slack can now vibe-code interactive charts and reports inside chats – The Verge, 2026-09-10
- Meta’s AI agent Muse is now the No. 2 app in the US – TechCrunch, 2026-09-10
- Meta’s Muse AI works and creeps me out – The Verge, 2026-09-10
- ElevenLabs kriegt Lizenz: Warum du bald Songs von Universal Music mit KI remixen darfst – t3n, 2026-09-11
- Universal Music is launching an AI music platform with ElevenLabs – The Verge, 2026-09-10
- Damit die Lippenbewegungen passen: Amazon optimiert Synchronfassungen mit KI – t3n, 2026-09-10
- India’s Pocket FM doubles revenue run rate to $500M as AI powers 93% of audio content – TechCrunch, 2026-09-10
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