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Slack’s CTO on Fighting the Attention Economy: Why Turning Everything Off Is Sometimes the Only Way to Think

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In a technology industry defined by constant alerts, instant replies, and the expectation of permanent availability, Parker Harris is making a blunt assessment about the cost. He notes that sustained thinking is becoming harder to protect, even for the people building the tools that power modern work.

Harris, chief technology officer of Slack and a cofounder of Salesforce, says the challenge of concentration has intensified as digital collaboration platforms embed themselves deeper into daily routines. Meetings stack up. Messages pile in. Calendars and inboxes begin to dictate the rhythm of the day, often crowding out time for deliberate, high-value work.

“Sometimes my day is driven by my calendar or driven by my inbox or what’s coming at me,” Harris told Business Insider.

His response is not rooted in elaborate productivity systems or rigid scheduling frameworks. Instead, it is about restraint. When Harris needs to focus, he removes stimuli altogether. Notification sounds are switched off. His phone is turned face down and placed out of view.

“I hate that knock sound or any other sound,” he said, explaining that even passive visual cues can pull attention away from deep work. “I don’t want to see my phone.”

The approach reflects a broader reality Harris acknowledges: Slack, by design, operates in what he describes as an “interrupt-driven” environment. Messages are meant to be seen. Collaboration happens in real time. But he draws a clear line between receiving information and being compelled to respond immediately.

While Harris typically keeps notifications enabled, he does not feel obligated to address every message the moment it arrives. That discipline, he suggests, is increasingly essential in workplaces where responsiveness is often mistaken for productivity.

“We all need to find a way to concentrate,” he said.

For Harris, deep work requires intentional isolation. When he needs to think through complex problems, he enters a specific Slack channel, internal planning document, or long-form strategy file and immerses himself fully. The shift is deliberate: one task, one context, one outcome.

There are exceptions. If Slack itself faces a critical issue, or if Salesforce CEO Marc Benioff reaches out, Harris says he will immediately change course. Those moments, however, are defined by urgency rather than habit.

“Unless there’s some fire coming at me, like Slack has some issue, or Marc Benioff wants to talk to me,” he said, “I’ll drop what I’m doing.”

This tension between constant connectivity and meaningful focus sits at the center of Slack’s evolving product strategy, particularly as the company rolls out a new AI-powered version of Slackbot. The upgraded tool, launched Tuesday, is designed to help users navigate the very overload that collaboration platforms have helped create.

Slackbot is being positioned as a personal work agent embedded directly into the platform. According to Slack, it will surface relevant context across conversations, help users track notifications more intelligently, and assist in prioritizing which messages and tasks actually require attention. The aim is to reduce cognitive load, not amplify it.

Harris says the broader objective is to shift employees away from a reactive posture — constantly responding to whatever appears next — toward a more proactive way of working.

“Slack is where work gets done,” he said. “We’re going to continue to tackle the productivity challenge. We want to make employees more productive.”

The rollout comes at a time when companies across the tech sector are betting that AI can tame workplace complexity rather than worsen it. Harris is careful, however, to frame Slackbot as an assistant rather than an authority. He advises users to be explicit about context, audience, and desired outcomes when interacting with the tool, to cross-reference its outputs with other data sources, and to review responses carefully before sharing them.

Those guardrails mirror Slack’s own internal philosophy. AI, Harris suggests, should help workers decide what matters — not demand more attention simply because it can.

The paradox is difficult to ignore because Slack, a platform synonymous with workplace chatter, is now positioning AI as a filter against distraction. Harris does not see that as a contradiction. Instead, he frames it as an evolution driven by necessity.

As digital tools multiply and work becomes increasingly fragmented, focus itself has become a scarce resource. Harris’s personal habits — silencing notifications, hiding his phone, carving out protected time for thinking — underscore a central lesson emerging across the tech industry: which is, productivity is no longer about doing more, faster. It is about choosing when not to engage.

In that sense, Slack’s CTO is not arguing against collaboration or connectivity. He is making a narrower, more pointed case — that in an always-on workplace, the ability to disconnect, even briefly, is now a core professional skill.

Salesforce Pushes Deeper Into Workplace AI with the release of updated Slackbot powered by Anthropic’s AI model

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Salesforce is making a renewed and more assertive push to embed generative artificial intelligence into the daily rhythms of office work, betting that Slackbot — once a modest helper — can evolve into a central intelligence layer for modern enterprises struggling with information overload.

The company said its AI-powered Slackbot is now rolling out to Business+ and Enterprise+ subscribers, marking one of the most consequential upgrades since Salesforce acquired Slack for $27.1 billion in 2021. The move is not just about adding another chatbot to the workplace, but about redefining how employees search for information, prepare for meetings, and navigate sprawling corporate systems.

Salesforce argues that Slackbot’s advantage lies in where it lives. Unlike standalone tools such as ChatGPT, the assistant is embedded directly into Slack, giving it contextual awareness of conversations, files, channels, and team structures. According to the company, it only accesses information a user is permitted to see, addressing one of the biggest enterprise concerns around AI adoption: data security and access control.

Slackbot can surface information not only from Slack itself, but also from Salesforce applications, Google Drive, Box, Atlassian’s Confluence, and other connected services. In effect, Salesforce is positioning Slack as a single interface for enterprise knowledge, with AI acting as the connective tissue across previously siloed systems.

Under the hood, the assistant is powered by Anthropic’s Claude model, though Salesforce co-founder and chief technology officer Parker Harris said the company is actively testing alternatives. That flexibility signals a broader strategy: Salesforce wants to remain model-agnostic while controlling the interface and data layer where AI is applied.

While the AI boom has supercharged companies such as Nvidia, Broadcom, and Google, Wall Street has been more cautious about enterprise software firms. Salesforce shares are down 18% over the past year, trailing the Nasdaq’s 24% gain, as investors question whether large language models and autonomous coding agents could eventually weaken demand for traditional cloud software.

Harris rejects that premise outright. He argues that generic AI tools are fundamentally disconnected from the complex permissions, workflows, and compliance requirements that define large organizations.

“People who say, ‘oh I could vibe code up Slack and Salesforce now, and my AI is just going to do it all for me’ are crazy,” he said, denoting the company’s view that enterprise software remains indispensable, even as AI becomes more capable.

This belief underpins Salesforce’s broader AI strategy. Beyond Slackbot, the company has been rolling out Agentforce services, designed to automate customer service, sales, and other business functions. Rather than replacing human workers, Salesforce frames these tools as productivity amplifiers that reduce friction and manual effort.

Slackbot itself has existed since Slack’s early days after its 2014 launch, initially handling simple automated messages and third-party notifications. But in the three years since ChatGPT’s release in late 2022, Slack was widely seen as slow to respond to the generative AI wave, especially as Microsoft and Google rapidly integrated AI assistants into Teams, Office, and Workspace.

The latest upgrade is Salesforce’s attempt to close that gap — and possibly leapfrog competitors by focusing on depth of integration rather than surface-level AI features.

Internally, the idea gained momentum after Slack engineers questioned why executives, including CEO Marc Benioff, were turning to external AI tools and uploading sensitive internal documents. The goal was to create an in-house alternative that matched the convenience of ChatGPT while remaining securely embedded within Salesforce’s ecosystem.

According to Harris, the result has been a behavioral shift at the top of the company.

“Now he’s doing everything with Slackbot,” Harris said of Benioff, suggesting the tool has crossed from experiment to habit.

Salesforce is highlighting adoption metrics to bolster its case. Slack is used by millions of people across thousands of organizations and remains one of Salesforce’s fastest-growing cloud offerings. Harris said Slackbot is already the most rapidly adopted feature in Salesforce’s 27-year history, a claim that underscores how receptive enterprise users appear to be to AI tools that slot naturally into existing workflows.

He also suggested the upgrade could have competitive ripple effects. Salesforce expects some companies to reconsider paying for separate ChatGPT subscriptions if Slackbot proves capable enough inside their core work environment. Harris even predicted that AI-enhanced Slack could accelerate customer migration away from Microsoft Teams.

Still, the talent movement highlights the intensity of the AI arms race. In December, OpenAI hired Slack CEO Denise Dresser as its chief revenue officer, while Slack’s former product chief Rob Seaman became interim CEO. The shift underlines how aggressively AI-native companies are recruiting leaders with deep enterprise experience.

Early customer feedback suggests Slackbot’s value is less about dramatic automation and more about incremental time savings. Demetri Salvaggio, vice president of customer experience and operations at business travel software firm Engine, said he uses the tool at the end of the day to check whether he has missed important messages or unresolved conversations.

Engine also licenses Google’s Gemini assistant and Anthropic’s Claude, but Salvaggio noted those tools sit outside Slack, limiting their usefulness. By contrast, Slackbot’s native integration makes it easier to trust and adopt.

He estimates the assistant saves him between 45 minutes and an hour each week — a modest figure on its own, but one that becomes meaningful when multiplied across large organizations.

The math is central to the strategy for Salesforce. Rather than selling AI as a radical break from existing systems, the company is pitching it as a way to make those systems more intuitive, more valuable, and harder to replace. In a workplace increasingly defined by notification fatigue and fragmented tools, the company is betting that AI inside Slack can turn chaos into context.

Nvidia Clarifies H200 AI Chip Payment Terms Amid China Export Uncertainty

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Nvidia has sought to quell concerns about its sales practices for the H200 artificial intelligence chips, confirming that it does not require full upfront payment from customers, particularly in China, where regulatory approval for imports remains uncertain.

The clarification, provided to Reuters on Tuesday, comes after a January 8 report suggested that Nvidia was imposing unusually stringent payment terms that could have forced Chinese buyers to assume significant financial risk before receiving the chips.

Background

The H200 is Nvidia’s latest generation of high-performance AI chips, designed to power advanced workloads including large language models, generative AI, and other compute-intensive applications. Demand for these chips has surged as AI adoption accelerates worldwide, making Nvidia one of the most influential suppliers in the global AI hardware market.

Amid the U.S. export controls targeting AI technology to China, companies like Nvidia face a complex environment. Chinese regulators have yet to confirm approval for many high-end AI chip imports, creating uncertainty over whether shipments can legally enter the country. Reports had indicated that Nvidia might require full upfront payment for H200 chips, effectively transferring financial risk to Chinese buyers who would be committing capital without a guarantee of delivery.

In response, Nvidia stressed that it “would never require customers to pay for products they do not receive.” A company source clarified that while prior transactions with Chinese clients sometimes included advance payment provisions, these were typically partial deposits rather than full payments.

For the H200, however, Nvidia has applied stricter enforcement of terms due to the regulatory ambiguities, ensuring the company itself is not exposed to compliance risk if shipments are blocked or delayed by Chinese authorities.

The situation underscores the tightrope U.S. chipmakers walk between meeting global AI demand and complying with increasingly complex geopolitical restrictions. China represents a major market for AI hardware, but export controls issued by the U.S. government—including limits on high-end AI chips and related technology—have complicated transactions. Companies must carefully navigate licensing approvals, customer risk, and commercial commitments, particularly for high-value products like the H200.

Analysts note that the H200 is a strategic product for Nvidia, as its next-generation architecture supports high-bandwidth memory configurations and multi-GPU setups crucial for generative AI models. Any disruption in supply to a key market like China could have ripple effects on global AI deployments, cloud providers, and research institutions relying on Nvidia hardware.

By clarifying payment policies, Nvidia seeks to reassure buyers that they will not be financially overexposed, even if regulatory approvals are delayed. The company’s stance also signals its effort to maintain trust with international partners while adhering to U.S. export regulations. Observers see this episode as illustrative of broader tensions in the AI semiconductor industry, where innovation, market demand, and geopolitics intersect in unprecedented ways.

Some analysts warn that as global AI adoption grows, U.S. firms like Nvidia may face increasing scrutiny from governments on both sides of the Pacific, balancing compliance, commercial strategy, and shareholder expectations. However, Nvidia appears committed to mitigating risk for its customers while ensuring that regulatory constraints do not impede its dominant position in the high-performance AI chip market.

Apple Taps Google’s Gemini for Siri, Cementing the Duo’s Alliance for the AI Industry

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Apple has announced a decision to use Google’s Gemini models to power its long-awaited Siri overhaul, marking a strategic pivot that tightens one of Silicon Valley’s most lucrative partnerships, and reshuffles competitive hierarchies in artificial intelligence.

Announced on Monday, the multi-year deal, which also raises fresh questions about market concentration, privacy, and the future role of OpenAI inside Apple’s ecosystem, will see Google’s Gemini models form the backbone of Siri and other forthcoming Apple Intelligence features slated for release later this year.

While neither company disclosed financial terms, the implications are expected to be enormous. Apple brings more than two billion active devices into the equation. Google brings frontier AI models it believes are now mature enough to operate at Apple’s scale.

“After careful evaluation, Apple determined Google’s AI technology provides the most capable foundation for Apple Foundation Models,” Google said, framing the agreement as a technical endorsement rather than a commercial compromise.

The wording matters because Apple has spent years signaling it wants to control core technologies internally. Turning to Gemini suggests that, at least for now, speed and capability have taken precedence over full independence.

For Google, the deal is a decisive competitive win. Gemini already underpins much of Samsung’s “Galaxy AI,” but Siri offers something Samsung cannot: habitual, daily use across a tightly controlled ecosystem. Siri is embedded not just in phones, but in laptops, watches, tablets, cars, and smart homes. Each interaction becomes a distribution channel for Gemini at a scale few AI companies can match.

The agreement also sharpens the contrast with OpenAI. Apple introduced ChatGPT integration in late 2024, allowing Siri to hand off complex queries to the chatbot. That relationship remains intact, but its boundaries are now clearer. ChatGPT stays as an opt-in assistant for advanced questions, while Gemini becomes the default intelligence layer.

“Apple’s decision to use Google’s Gemini models for Siri shifts OpenAI into a more supporting role,” said Parth Talsania, CEO of Equisights Research. “ChatGPT remains relevant, but no longer sits at the center of Apple’s AI strategy.”

That repositioning comes at a sensitive moment for OpenAI. After Google unveiled Gemini 3 late last year, OpenAI CEO Sam Altman reportedly issued a “code red,” urging teams to accelerate development. Apple’s decision to choose Gemini over a deeper OpenAI integration underscores how fluid alliances remain in a market still defining its long-term winners.

The deal also highlights Apple’s uneven path in AI. While rivals raced ahead with chatbots and image generators, Apple moved cautiously, emphasizing privacy, on-device processing, and reliability. That caution, however, translated into delays. Siri’s revamp slipped, top-level executives were reassigned, and early Apple Intelligence features drew muted reactions. Some analysts believe that partnering with Google allows Apple to close the capability gap without restarting the clock.

Still, the move has drawn criticism. Tesla CEO Elon Musk warned that the partnership concentrates too much power in Google’s hands, given its control over Android and Chrome.

“This seems like an unreasonable concentration of power for Google, given that the[y] also have Android and Chrome,” Musk said.

His comments echo a broader concern among policymakers and competitors that Google is embedding itself across every major digital gateway: search, mobile operating systems, browsers, and now AI assistants inside Apple devices.

Those concerns are amplified by history. Apple and Google already share a controversial arrangement that makes Google the default search engine on Apple devices, a deal that reportedly generates tens of billions of dollars annually for Apple while reinforcing Google’s dominance in search. Adding Gemini to Siri deepens that interdependence at a time when antitrust scrutiny of Big Tech is intensifying in the United States and abroad.

Privacy, a core part of Apple’s brand, is another pressure point. Both companies sought to pre-empt criticism by stressing safeguards. Google said Apple Intelligence will continue to run on Apple devices and through Apple’s Private Cloud Compute, maintaining what it called Apple’s “industry-leading privacy standards.” The reassurance reflects lingering user anxiety about how much personal data AI assistants can access and where that data is processed.

Markets swiftly moved in reaction to the deal. Alphabet’s valuation climbed above $4 trillion following the announcement, extending a rally fueled by growing confidence in Google’s AI push. The stock surged 65% last year as investors warmed to Google’s aggressive investment in frontier models, image and video generation, and massive computing infrastructure. Apple’s shares were steadier, reflecting investor awareness that the company is playing catch-up rather than setting the pace.

Beyond Wall Street, the deal redraws strategic lines. Developers building for Apple platforms will now optimize experiences around Gemini-powered intelligence. Competitors are expected to reassess how much room remains outside ecosystems dominated by a handful of model providers. Additionally, regulators may have to scrutinize whether default AI integrations mirror the anticompetitive dynamics long debated in search and mobile software.

In the short term, consumers may see a more capable Siri, finally able to compete with newer assistants on reasoning, context, and responsiveness. In the longer term, Apple’s bet on Gemini aligns with a growing industry trend that has seen major companies team up to secure a place in the AI arms race.

Nigeria Bets on Carbon Trading as Tinubu Clears Framework Aimed at $3bn a Year by 2030

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President Bola Tinubu has approved Nigeria’s carbon market framework, marking a decisive turn in how Africa’s 4th-largest economy plans to finance its climate ambitions and reposition itself in global capital flows.

Framed as both an environmental policy and an economic strategy, the move signals Abuja’s intent to turn emissions reductions into a tradable asset class capable of generating at least $3 billion annually by the end of the decade.

The disclosure by Tenioye Majekodunmi, Director-General of the National Council on Climate Change (NCCC), puts an official stamp on months of policy groundwork. With implementation now authorized, Nigeria is moving from ambition to execution, seeking to build a regulated market where carbon credits can be issued, tracked, traded, and monetized across key sectors of the economy.

At its core, the framework positions carbon markets as an instrument of statecraft. Rather than treating emissions reductions as a compliance burden, the government is presenting them as an exportable commodity. Energy, agriculture, forestry, waste management, and heavy industry are all identified as sources of large-scale emissions-reduction projects that can be converted into credits and sold to global buyers.

Majekodunmi said Nigeria will initially focus on voluntary carbon markets and international trading mechanisms, where companies and governments purchase credits to offset emissions. Over time, the plan is to layer in a domestic emissions trading system and, eventually, a carbon tax. That sequencing reflects a cautious approach, designed to attract foreign capital first while domestic institutions and data systems mature.

“Operationalizing the framework is an indication that carbon markets are a key part of the country’s economic strategy,” Majekodunmi said, describing it as a pathway for attracting investment, supporting the energy transition, and anchoring Africa more firmly in global climate finance.

The incentives embedded in the policy underscore that investment focus. A national carbon registry will be launched to track credits and prevent double-counting. Companies will be required to report emissions, creating a data backbone that Nigeria has historically lacked. Compliance obligations will be phased in line with the country’s climate commitments, which include cutting emissions by 2035 and reaching net zero by 2060.

To sweeten the deal for investors, the government is offering generous fiscal concessions. Carbon credit revenues will enjoy tax exemptions for up to ten years. Firms investing in low-carbon assets will benefit from accelerated capital allowances, while research and development tied to emissions-reduction projects will qualify for deductions.

Officials argue these measures are designed to remove the structural risks that have previously discouraged large-scale participation in carbon markets.

Nigeria is not starting from zero. According to government data, the country already hosts 57 registered voluntary carbon projects, largely in household energy, renewable power, and forestry. These projects have issued about 5.8 million tons of carbon credits so far. The new framework aims to expand that pipeline rapidly, but with stricter oversight and alignment to international quality standards, a response to growing skepticism in global markets about the credibility of offsets.

Oversight will sit with the NCCC, chaired by the President himself, giving the market unusual political weight. A dedicated carbon-market office will handle project approvals, registries, authorizations, and supervision. That centralized structure is intended to reassure international buyers who have grown wary of fragmented governance and weak enforcement in some emerging markets.

Globally, carbon markets are in flux. Carbon credits, each representing one metric ton of carbon dioxide avoided or removed, were once hailed as a cornerstone of corporate climate strategies. But confidence has eroded. The voluntary carbon market has shrunk by roughly two-thirds since 2021, battered by concerns over inflated claims, poor project quality, and a pullback in corporate climate commitments.

Yet long-term forecasts suggest demand could rebound. BloombergNEF estimates global carbon credit supply could expand 20- to 35-fold by 2050 as governments and companies search for credible ways to meet net-zero targets. Nigeria is betting that tighter regulation and sovereign backing can position its credits as “compliance-grade,” attractive not just to companies seeking reputational cover but to states and regulated entities facing binding emissions limits.

Other African countries are moving in the same direction. Zimbabwe, Kenya, and Malawi have all taken steps to regulate their carbon offset industries, though with mixed results. Nigeria’s advantage lies in scale, political backing, and its attempt to integrate carbon markets into a broader economic and fiscal framework rather than treating them as a niche environmental policy.

The approval also builds on commitments made on the global stage. In November 2025, Nigeria unveiled its ambition to mobilize up to $3 billion annually through its National Carbon Market Framework and Climate Change Fund at the UN climate talks in Belem, Brazil. Vice President Kashim Shettima, speaking at a COP30 session on climate and nature, said Nigeria’s strategy was about restoring balance between development, environmental stewardship, and economic resilience.

That rhetoric now has policy teeth. If successfully implemented, the framework could reshape how Nigeria finances climate action, channels foreign investment, and asserts leadership across the Global South.

However, the risks remain substantial, from market volatility to credibility challenges. But with presidential backing and a clear revenue target, Nigeria has placed a bold wager: that carbon, long treated as a liability, can become a cornerstone of its next economic chapter.