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Forbes
15-07-2025
- Business
- Forbes
How To Streamline Comms And Craft Better Internal Content: 20 AI Tips
Communications teams juggle multiple competing priorities daily that can make delivering timely, relevant content to internal stakeholders a challenge. Rather than putting internal engagement on the back burner, with the rapid rise of AI, smart professionals are finding new ways to streamline routine tasks and craft higher-quality content for internal audiences. Below, 20 members of Forbes Communications Council share how internal comms pros can use AI to lighten their workloads and simultaneously create more effective internal messaging. From drafting and summarizing reports to personalizing content at scale, here's how to free up time for internal comms to focus on higher-level strategic tasks by leveraging AI. 1. Simulate Employees' Reaction To Messaging Internal comms pros can use AI to simulate how different employee personas might react to a message, helping them test tone, clarity and emotional resonance before sending. This 'synthetic focus group' approach surfaces blind spots early and leads to more effective, inclusive communication. - Susan Hardy, CDW 2. Create A Thinking Partner And Voice-Driven Workflow Focus on using AI as a thinking partner plus a voice-driven workflow. AI tools help communication pros think out loud while AI picks up tone and additional nuances. I use voice notes and AI to quickly turn layman's storytelling into polished, inclusive messaging that keeps the heart of the story intact. This streamlines drafting, captures sentiment and delivers a professional edge—fast. - Sarah Chambers, SC Strategic Communications 3. Build Flows To Automate Manual Tasks I use AI tools like Copilot to build Power Automate flows that enhance the internal comms experience. It saves time by automating tasks—like setting up triggers to post across multiple channels—so I'm not doing it all manually. It's a game changer for efficiency and helps ensure consistent, timely communication. - Emily Burroughs, BGSF 4. Organize Thoughts And Streamline Workflows People tend to spend too much time stressing over the right way to communicate. AI can be helpful in organizing thoughts, saving time for both the writer and the reader. Many also find it useful in streamlining workloads. However, it can misjudge how long a task might take. So, it's imperative for someone experienced in specific workflows to review timelines to make sure they're achievable. - Cassi Hallam, System Pavers Forbes Communications Council is an invitation-only community for executives in successful public relations, media strategy, creative and advertising agencies. Do I qualify? 5. Analyze Data And Predict Trends Beyond the most common use cases (like content creation, translation and chatbots), I would highlight using AI for predictive analytics. By analyzing data from various sources like employee engagement surveys, HR systems and social media, these tools could predict future trends. This allows internal comms teams to tailor messages to meet the evolving needs of the company employees and boost engagement. - Vanina Marcote, IBM 6. Create A Baseline Marketing Plan AI can be a huge timesaver when it comes to tasks like creating a marketing plan. Use AI to define a framework for the plan, including common elements that you'll likely employ. Then, you can take that starting point and adapt it to your unique needs. The time savings up front can be significant and help you avoid staring at a blank computer screen to start a new project. - Tom Wozniak, OPTIZMO Technologies, LLC 7. Turn Internal Updates Into Ready-To-Share Messages AI gives internal comms teams a huge advantage. Take a long internal update, run it through an AI assistant and suddenly, you've got personalized, ready-to-share updates for different departments. Finance gets what it needs, sales gets what it cares about, without you writing five different versions from scratch. - Bradley Keenan, DSMN8 8. Upload Transcriptions Of Processes To Optimize Them If you believe AI can help you with whatever you're working on, here's a tip: Create a Teams or Zoom meeting to be recorded and transcribed. Then complete your work as you usually would, but with a key difference—be sure to narrate exactly what you are doing to yourself. Afterward, upload the transcript from your recorded meeting to your LLM of choice and ask, 'How can you help me optimize this process?' - Alexi Lambert Leimbach, Xcellimark 9. Leverage AI-Powered Writing Assistants One way internal communications professionals can use AI is by leveraging AI-powered writing assistants to draft or personalize employee newsletters, announcements or policy updates. This not only saves time, but also ensures tone consistency and message clarity, allowing teams to focus more on strategy and stakeholder engagement. - Maria Alonso, Fortune 206 10. Auto-Draft First Versions Of Routine Communications Train AI tools on past internal messages, FAQs and tone guidelines to auto-draft first versions of routine communications—updates, announcements or onboarding content. This reduces time spent on repetitive writing while ensuring consistency. It frees up communicators to focus on strategic alignment, creative storytelling and timely, high-impact messaging that resonates with employees. - Antony Robinson, Novalnet AG 11. Translate Company Narrative Into Actionable Content There's no shame in using AI at work. For internal communications professionals, AI can help generate tailored plans and messages for internal emails or newsletters and announcements. This will not only save plenty of time, but also translate your company's narrative into actionable, engaging content that will resonate with employees. Also, consider using AI to collate employee feedback. - Fahad Qadir, Haleon 12. Track Internal Content Engagement AI can help internal communications professionals track how internal stakeholders engage with content, like email open rates or survey responses. By providing real-time analytics, AI enables professionals to optimize messaging, personalize content and deliver more relevant and targeted communications, improving both efficiency and engagement. - Lauren Parr, RepuGen 13. Train A Custom GPT On Brand Voice And Tone Internal comms teams can build a custom GPT trained on their brand voice, tone and past messaging. It can draft emails, FAQs and campaign copy in the right format—saving hours and improving consistency across channels. It's like having a comms partner who already speaks your language. - John Schneider, Betterworks 14. Streamline Tasks Within Clear Frameworks Internal communicators should use AI to streamline routine tasks—but only within clear ethical, governance and disclosure frameworks. Employees must be informed when AI is used. Transparency protects trust. No algorithm can replace the context, judgment and integrity that effective human communication requires. - Marie O'Riordan 15. Create Enticing Brand Visuals When crafting internal communications content, it isn't just about words but also graphics, images and video. Human-managed AI can save a ton of time by creating enticing, brand-appropriate visuals that don't just help spread your message but can also engage and motivate your internal audiences to pay closer attention. - Ellen Sluder 16. Personalize Follow-Up Messages AI can personalize follow-ups—like flagging who hasn't read a message—and help teams craft clearer, more engaging content. That's especially valuable when internal comms lives in HR or ops, where writing may not be a core skill. Used well, AI boosts both efficiency and impact. - Cody Gillund, Grounded Growth Studio 17. Summarize Meetings Into Bulleted Action Items We use AI to summarize long company meetings into short bullet points and clear action items. This keeps everyone aligned without needing to rewatch recordings or sort through notes. It also saves hours for busy communication teams. - Jamie Elkaleh, Bitget Wallet 18. Categorize And Tag Internal Content For Easy Searching AI can auto-tag, categorize and archive internal content, such as Slack threads, emails or intranet posts, making it easier for employees to find what they need when they need it. This improves knowledge sharing across teams and cuts down on redundant questions while giving comms teams insights into which topics need clearer messaging. - Katie Jewett, UPRAISE Marketing + Public Relations 19. Analyze Large Volumes Of Employee Messages Internal comms pros can use AI assistants like ChatGPT, Copilot or Perplexity to analyze large volumes of anonymized employee messages and Q&A sessions from Slack, Teams or virtual all-hands meetings. By exporting these chat logs and having AI summarize the most frequent questions and topics, teams can easily identify recurring themes and create targeted content that's top of mind for employees. - Rekha Thomas, Path Forward Marketing 20. Segment Employee Audiences And Analyze Engagement AI can automatically segment employee audiences and personalize messaging by role, department and location. This streamlines workload by generating multiple versions of core messages tailored to different groups (executives versus front-line employees versus international teams) while analyzing past engagement data to optimize content that resonates best with each audience. - JoAnn Yamani, Future 500
Geeky Gadgets
10-07-2025
- Business
- Geeky Gadgets
Cursor AI's Controversial Pricing Update Explained, is Simplicity a Thing of the Past?
What happens when a tool designed to simplify your workflow suddenly becomes more complex? That's the question many Cursor AI users are grappling with following the platform's latest update. Once celebrated for its straightforward pricing and user-friendly approach, Cursor AI has introduced a new usage-based pricing model that's as ambitious as it is polarizing. While the company touts this change as a step toward sustainability and scalability, many users are left questioning whether the trade-off is worth it. With concerns over transparency, value, and the loss of control over AI model selection, the update has sparked a heated debate about what users should expect from their AI tools—and whether Cursor can still deliver on its promise of simplicity. In this overview, Robin Ebers unpacks the implications of Cursor AI's pricing overhaul and explore what it means for both casual users and power users alike. From the introduction of 'auto mode' to the competitive pressures posed by rivals like Claude Code, this update is more than just a pricing shift—it's a reflection of the growing pains many AI platforms face as they scale. Whether you're curious about how these changes might impact your workflow or looking to understand the broader trends shaping the AI landscape, this analysis will provide the insights you need to navigate the evolving world of Cursor AI. After all, when innovation meets friction, the real story lies in how companies adapt—and how users respond. Cursor AI Pricing Changes Cursor explains more 'We recognize that we didn't handle this pricing rollout well, and we're sorry. Our communication was not clear enough and came as a surprise to many of you. We're improving how we communicate future pricing changes. We are offering usage refunds for those with unexpected usage between June 16 and July 4. Please contact pro-pricing@ if you had a surprise usage bill and the team will work as fast as possible to get you a full refund.' From Simplicity to Complexity: The New Pricing Model Cursor AI's previous pricing model was simple and predictable, offering users a $20/month plan that included 500 fast requests and unlimited slower requests. This structure was particularly appealing to users seeking affordability and ease of use. However, the company determined that this model was financially unsustainable in the long term. As a result, Cursor introduced a tiered, usage-based pricing system with three distinct plans: Pro ($20/month): An entry-level plan with limited usage, suitable for casual users. An entry-level plan with limited usage, suitable for casual users. Pro Plus ($60/month): A mid-tier option offering expanded features and higher usage limits. A mid-tier option offering expanded features and higher usage limits. Ultra ($200/month): A premium plan designed for heavy users, providing the most included usage. A key feature of the new model is 'auto mode,' which dynamically selects AI models based on availability and cost-efficiency. While this feature allows for unlimited usage within certain parameters, it also imposes restrictions on users who prefer specific models, such as Claude 4. These limitations, coupled with additional charges for model-specific usage, have caused frustration among users accustomed to greater control and predictability. User Concerns: Transparency and Value The transition to the new pricing structure has been met with mixed reactions, with many users expressing concerns about clarity and value. The introduction of 'auto mode' has been particularly contentious, as some users find its functionality and limitations difficult to understand. Additionally, the new model's rate limits and restricted access to preferred AI models have led to perceptions of diminished value compared to the previous plan. In response to these concerns, Cursor has acknowledged its shortcomings in communication and taken steps to improve transparency. These measures include: Updating documentation to provide a clearer explanation of the new pricing structure. Introducing a subscription usage summary to help users monitor their consumption more effectively. Offering refunds to users who experienced unexpected charges during the transition. While these efforts aim to rebuild trust, dissatisfaction persists among some users, particularly those who feel the new pricing model undermines the predictability and flexibility they previously enjoyed. Cursor AI update Watch this video on YouTube. Explore further guides and articles from our vast library that you may find relevant to your interests in Cursor AI Pricing Changes. Competitive Pressures: How Cursor Stacks Up Against Claude Code Cursor's pricing overhaul has inevitably drawn comparisons to competitors like Claude Code, which continues to offer a more straightforward pricing approach. For example, Claude Code's Max plans provide unrestricted access to specific models, such as Claude 4, and deliver better throughput for users who prioritize performance and model specificity. In contrast, Cursor's reliance on 'auto mode' limits user control over model selection. While the Ultra plan offers significant usage at a competitive price, it may not appeal to users who value flexibility and predictability over cost-efficiency. For these users, Claude Code presents a compelling alternative. However, Cursor's offerings remain attractive to users who can adapt to the constraints of 'auto mode' and prioritize cost-effectiveness over model preference. The choice between Cursor and its competitors ultimately depends on individual user needs, including their usage patterns and priorities. Balancing Financial Viability with User Satisfaction Cursor AI's pricing overhaul reflects a broader effort to balance its operational costs with the demands of its user base. By encouraging users to adopt 'auto mode,' the company aims to optimize resource allocation and ensure long-term sustainability. However, this approach has alienated some users who feel the new structure sacrifices the flexibility and predictability they valued in the previous model. To navigate this tension, Cursor must focus on improving its communication and enhancing transparency. The company has already taken steps in this direction, but further investment in user-centric features and clearer messaging will be critical to regaining trust. Additionally, Cursor must remain attentive to the competitive landscape, making sure its pricing model aligns with both its operational goals and the evolving needs of its diverse user base. Cursor's ability to strike this balance will play a pivotal role in determining its future success. By addressing user concerns and refining its offerings, the company has the opportunity to maintain its competitive edge while fostering a more satisfied and loyal customer base. Media Credit: Robin Ebers Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
