Slack’s biggest AI update turns Slackbot into a desktop agent


In short: Salesforce unveiled more than 30 new AI capabilities for Slackbot on 31 March 2026, the most sweeping overhaul of the platform since its $27.7 billion acquisition in 2021. The update transforms Slackbot from a conversational assistant into an agentic system that can transcribe meetings across any video platform, monitor users’ desktop activity, execute tasks through third-party tools via the Model Context Protocol, and serve as a lightweight CRM. The new features run on Anthropic’s Claude, are live now for Business+ and Enterprise+ subscribers, and will roll out in limited form to free and Pro users from April. From summer 2026, Slack will be automatically bundled with every new Salesforce customer account.

Salesforce has given Slack its most ambitious overhaul since buying it for $27.7 billion four years ago. At an event in San Francisco on 31 March 2026, CEO Marc Benioff unveiled more than 30 new AI-powered capabilities for Slackbot, the platform’s built-in assistant, in what the company described as a transformation from a messaging tool into what it calls an “agentic operating system” ,a single surface where workers interact with AI agents, enterprise applications, and one another. The announcement builds on a January 2026 update that first gave Slackbot the ability to draft emails, schedule meetings, and search inboxes; the March additions are considerably more expansive.

What the 30 features actually do

The centrepiece of the update is reusable AI skills. Users can define a specific workflow once, “summarise this campaign brief“, “generate a budget plan for this event“, and save it as a named skill. Slackbot then learns to recognise when that task is being attempted and offers to run the skill automatically, pulling together relevant information from connected channels, applications, and data sources without the user needing to configure the process each time. The expectation that AI handles repetitive cognitive labour without requiring users to configure pipelines manually has become a baseline demand in enterprise software, and reusable skills is Slack’s answer to it.

Meeting intelligence lets Slackbot listen to calls on Zoom, Google Meet, or Slack Huddles by tapping into a user’s desktop audio through the desktop application. It does not merely transcribe: it identifies decisions made, assigns action items to the relevant participants, and delivers a structured summary automatically when the call ends. The desktop agent extends Slackbot’s reach beyond the Slack application itself, monitoring screen activity and drawing on a user’s deals, conversations, calendar, and habits to surface suggestions and draft follow-ups proactively. This is the feature with the most significant privacy surface: Slack is, in effect, asking users to grant an AI agent persistent visibility into their computer.

The 💜 of EU tech

The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!

Slack is also launching a native CRM for small businesses, built directly into the chat interface. Slackbot reads channels, identifies when a deal is mentioned or a new contact introduced, and updates those records automatically. Salesforce says companies that outgrow the lightweight version can migrate to full Salesforce CRM without rebuilding their data. Finally, Slackbot now functions as an MCP client, a Model Context Protocol client, meaning it can connect to and coordinate with any external service that registers an MCP server through Slack’s manifest. That list currently includes Agentforce (Salesforce’s own AI agent platform launched in 2024), Google Workspace, Microsoft 365, Notion, Workday, ServiceNow, and more than 6,000 other applications in the Salesforce ecosystem. The shift toward agent orchestration, where a single interface coordinates multiple AI systems across different enterprise applications, is defining the competitive landscape for enterprise software in 2026 more than any other technical development.

Claude, FedRAMP, and why Anthropic got the contract

Under the hood, all of Slackbot’s new capabilities run on Anthropic’s Claude. Salesforce says it chose Claude partly because Anthropic was the only AI provider meeting FedRAMP Moderate certification requirements at the time Slack began designing the new system, a prerequisite for selling into regulated industries including government, healthcare, and financial services. Anthropic’s trajectory as an enterprise AI provider has accelerated considerably since that decision was made, and the Slack partnership is one of the most visible deployments of Claude in a major productivity platform. Salesforce reports that Slackbot already has nearly one million weekly active users, a figure that is about to grow substantially given the pricing and bundling changes that accompany the announcement.

A leadership backdrop that tells its own story

The March 31 event was hosted by Marc Benioff directly, a signal of how central the Slack transformation is to Salesforce’s current narrative. The more revealing context, however, is what happened three months earlier: in December 2025, Denise Dresser, Slack’s CEO since 2023 and a Salesforce veteran of 14 years, left the company to become OpenAI’s first chief revenue officer. Her successor as Slack CEO is Rob Seaman, the platform’s former chief product officer, who holds the role on an interim basis. That the executive who built Slack’s commercial strategy chose to leave for OpenAI, the company whose products represent perhaps the biggest threat to any single-platform AI assistant strategy, is a detail that Salesforce has had to absorb while executing its most ambitious product push in years.

The Microsoft problem

The 30-feature release is also, unmistakably, a competitive response. Microsoft has been building toward a deeply integrated AI layer across its 365 productivity stack, embedding Copilot into Teams, Word, Excel, Outlook, and PowerPoint, creating a coherent agent experience for organisations already inside the Microsoft ecosystem. Slack’s counterargument, made explicit in the “agentic operating system” framing, is that a communication-first interface with broad enterprise integration is a better home for AI agents than a document-first one, and that MCP connectivity means Slackbot does not require an all-in bet on any single platform. The argument is more credible with 30 new capabilities than it was six months ago.

Pricing, availability, and the bundling play

Slackbot is already included in Business+ and Enterprise+ plans at no additional consumption cost. Starting in April 2026, a more limited version will become available to users on Slack’s free and Pro plans. The more strategically significant change comes this summer: from that point, every new Salesforce customer will have Slack automatically provisioned and AI-enabled from day one. That bundling decision removes the question of whether enterprise buyers will pay for a separate AI layer, they will not need to, because it will arrive with the CRM they already purchased.

The broader enterprise expectation in 2026 is that AI tools meet the same security and compliance standards as the infrastructure they sit alongside, and Slack’s decision to anchor its new system on a FedRAMP-certified model addresses that expectation directly. Whether that is enough to shift purchasing decisions in accounts that have already standardised on Microsoft 365 is a different question, one that the next few quarters will begin to answer. What the March 31 event established is that Salesforce has decided Slackbot is the most important product it is building, and it is acting accordingly.



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



Source link