Mercor is currently negotiating a valuation of $20 billion, doubling its worth since October when it was valued at $10 billion.
Five years after Salesforce acquired Slack for $27.7 billion, the two platforms are finally merging into a unified system. Slack has introduced a new integration connecting Slackbot, its built-in AI agent, to the full Salesforce platform. This includes CRM data, Tableau analytics, Data 360 profiles, and third-party apps—all accessible through simple chat commands in Slack. Powered by Salesforce's Model Context Protocol (MCP) servers and Headless 360 infrastructure, users can now retrieve customer deal histories, generate pipeline charts, update records, and send DocuSign approvals without leaving Slack. This integration enables team-wide visibility and collaboration, addressing the common issue of fragmented information across apps. Slack's CMO, Ryan Gavin, emphasizes "multiplayer AI" as the future of enterprise tools, where AI operates in shared channels rather than isolated chats, enhancing teamwork. While competitors like Microsoft Teams and Google Workspace embed AI into their offerings, Slack bets on openness and integration breadth to differentiate itself. The new capabilities democratize access to Salesforce CRM data across entire organizations, turning more employees into empowered decision-makers. Although some technical and strategic challenges remain, including performance and pricing clarity, this marks a major step in transforming Slack into a comprehensive AI-driven work platform.
AI is a sensitive topic for many professionals today, often linked with job insecurity and layoffs. CEOs championing AI can risk damaging their reputation if they fail to address the human impact transparently. With AI adoption becoming mainstream, companies must carefully plan their communication to avoid fear and mistrust. Leaders should be radically transparent about how AI will change roles and workflows, ensuring any workforce reductions are merit-based and empathetic. Empathy in communication is key to maintaining trust and morale during this transformation, especially since employees and executives often have very different views on AI's role.
At many leadership events, purpose statements shine briefly before fading into the background, overshadowed by immediate business pressures. This disconnect is widespread, with only a third of Fortune 500 companies having a genuine purpose that guides decisions, and many lacking metrics to track its influence. The real challenge lies not in discovering purpose, but in embedding it into every strategic choice and daily operation. Simply articulating a purpose is not enough; organizations must align their projects and decisions actively with it. Examples like Places for People and Kiwibank demonstrate the power of this approach, showing that authentic alignment drives engagement, impact, and financial success. The final and often neglected step is accountability—measuring and reporting progress honestly to keep purpose alive and meaningful. In an era of AI and abundant choices, activated purpose offers clarity and direction beyond what technology can prescribe, making it the key to sustained growth and integrity.
When a legal-tech startup leader began using ChatGPT, the AI quickly shifted from a helpful assistant to the company's primary decision-maker. Staff were told to consult the AI before meetings, and major company decisions were driven by chatbot suggestions, culminating in a constantly updated manual generated by AI that replaced human inquiry entirely. While AI can handle broad knowledge and rapid responses, it lacks insight into unique, context-specific human experiences essential for sound leadership decisions. This overreliance on AI threatens to erode human judgment, especially when leaders, distant from day-to-day work, overestimate AI's capabilities and enforce its authority across organizations. Leaders must actively protect the space for human judgment by allocating time for thoughtful work, rewarding careful decision-making rather than just output, and demonstrating critical engagement with AI recommendations themselves. The strongest AI models work best when humans continually assess and own the final call, preventing the loss of an organization's ability to think independently.
While marketers argue over brand building versus performance marketing, the most successful consumer brands prioritize converting temporary attention into lasting loyalty.
SambaNova recently completed a $1 billion Series F funding round, raising its valuation to $11 billion. This follows their $350 million Series E funding secured in February. The company continues to attract significant investment in the AI chip sector. Read more about the funding details and impact on the tech industry.
Facing limited land availability and growing local opposition, Samsung is planning to deploy floating data centers at sea. Samsung Heavy Industries aims to launch its first custom-built barge data center by 2028, according to a report by Seoul Economic Daily. This innovative design will be a purpose-built floating facility stationed near the coast, rather than repurposing existing vessels.
HubSpot has reversed its decision to use customer data for a new AI sales lead tool just four days after announcing it. The change in terms, effective from July 1, would have pooled customer information such as contact and employer details. The company initially opted users in by default, sparking significant pushback. Following the backlash, HubSpot scrapped the plan to prioritize customer trust and privacy.
Apple has committed to a substantial multi-year agreement exceeding $30 billion with Broadcom to develop and manufacture over 15 billion custom wireless connectivity chips domestically in the United States. These chips will be integral to enhancing Apple’s product lineup, reinforcing its focus on U.S. manufacturing and advanced technology.
