AB's Reflections

Author: Aditya

  • Shadow AI, Friction Fatigue & the Flexibility Gap: 5 Lessons from the Ivanti Tech at Work 2025 Report

    Shadow AI, Friction Fatigue & the Flexibility Gap: 5 Lessons from the Ivanti Tech at Work 2025 Report

    The Ivanti Tech at Work 2025 report isn’t just a workplace tech survey — it’s a mirror to how modern organizations are struggling (and sometimes succeeding) to adapt to the realities of hybrid work, AI adoption, and employee expectations.

    Here are 5 insights that stood out — and why they matter for anyone building teams, tools, or trust in the modern workplace.

    🔗 Read the full report

    1. Shadow AI Is a Trust Problem, Not Just a Tech One

    Nearly 1 in 3 workers admit they use AI tools like ChatGPT in secret at work.

    Why the secrecy?

    According to the report:

    • 36% want a competitive edge
    • 30% fear job cuts or extra scrutiny
    • 30% say there’s no clear AI usage policy
    • 27% don’t want their abilities questioned

    This is more than a governance issue. It’s a cultural signal.
    Employees are turning to AI to be more productive — but doing so under the radar signals a trust deficit and policy vacuum.

    💡 What to do:
    Leaders need to replace silence with structure — with clear, enabling policies that promote responsible AI use, and an environment where value creation matters more than screen time.

    2. The Flexibility Paradox: High Demand, Low Supply

    83% of IT professionals and 73% of office workers value flexibility highly — but only ~25% say they actually have it.

    Even as companies trumpet hybrid work, asynchronous enablement, autonomy, and outcome-based work norms haven’t caught up. The result? Disengagement and frustration.

    💡 What to do:
    Revisit what flexibility really means. It’s not just about where people work — it’s how they work.
    That means:

    • Tools for async collaboration
    • Decision-making frameworks for remote teams
    • Leaders modeling flexible behaviors

    3. Presenteeism Is the New Fatigue

    The report highlights “digital presenteeism”: workers pretending to be active — jiggling mice, logging in early — to appear productive.

    • 48% say they dislike their job but stay
    • 37% admit to showing up without doing meaningful work

    These are signs of unclear expectations and poor workflow design — not disengagement alone.

    💡 What to do:
    Audit for friction, not just lag.
    Look at your workflows, KPIs, and culture. Are people forced to perform busyness instead of real value?

    4. The Digital Experience Gap Is Real

    While flexible work is valued, many workers find it harder to work outside the office. The report notes:

    • 44–49% say collaboration is easier in-office
    • 36–48% say manager access is better in-office
    • 16–26% say apps are easier to use from the office

    💡 What to do:
    Enable remote-first experience, not just policy:

    • Seamless access to tools and systems
    • Integrated collaboration platforms
    • AI-powered support and IT workflows

    5. Redesign for Trust, Not Just Tools

    The big takeaway?

    Workers don’t just need better AI — they need clarity on what’s allowed
    They don’t just need more flexibility — they need workflows that enable it
    They don’t just need faster tools — they need a culture that values trust over control

    Final Thoughts

    The Ivanti Tech at Work 2025 report is a diagnostic — revealing what happens when new tools are bolted onto outdated operating models.

    For leaders, the message is clear:

    We need to evolve not just our tech stack, but our trust stack.

    🔗 Read the full report

  • 🎮 Vibe Coding a Stock Market Game: Why Every GTM Leader Should Build Like This Once

    🎮 Vibe Coding a Stock Market Game: Why Every GTM Leader Should Build Like This Once

    Earlier this month, I did something I hadn’t done in over 15 years:
    I rebuilt a stock market simulation game I had originally created during business school.

    The original was built on Ruby on Rails.
    This time, I went lean — prototyping with HTML, JS, and lightweight AI-assisted dev tools in what I’d call a vibe coding session.

    But this post isn’t about the code.

    It’s about what I learned — and why every founder, product owner, or GTM leader should prototype at least one thing themselves in this way.

    🧪 What Is Vibe Coding, Really?

    The term vibe coding was coined by Andrej Karpathy, but it was a recent post by Strangeloop Canon that captured its essence:

    “If AGI is the future, vibe coding is the present.”

    To me, vibe coding is building with momentum, not perfection.
    No heavyweight specs. No team syncs. Just one person, a rough idea, and tools that let you think through your fingertips.

    You’re not coding to launch. You’re coding to understand.
    And sometimes, that’s exactly what you need.

    🧠 What I Learned From Rebuilding QSE

    1. Building sharpens your strategy lens.
    When you rebuild something from scratch, every interaction becomes a test of friction vs flow. That mindset translates directly into GTM design, onboarding strategy, and product-market fit thinking.

    2. AI is best when it feels smart.
    My game features a basic rules-based AI opponent. Not sophisticated — but just enough to create pressure and tension. It reminded me that AI doesn’t need to be advanced, it needs to feel aligned with the user’s rhythm.

    3. Prototypes create unexpected clarity.
    Tiny design decisions (like how many clicks it takes to place a trade) turned into insights about attention spans, pacing, and simplicity — lessons I’ll carry into larger GTM and transformation conversations.

    🔁 Why This Resonated Beyond the Code

    Rebuilding QSE wasn’t a nostalgia trip. It was a reconnection with creative flow.
    It reminded me of how much clarity you gain when you stop whiteboarding and start building.

    We often separate “strategy” and “execution” as different domains.
    But I’ve found that prototyping collapses that gap. You see things faster. You think better. And sometimes, you spot the real issue — not in the brief, but in the build.

    If you’re leading a product, driving a GTM motion, or exploring AI integration, I genuinely recommend vibe coding — or at least, vibing with your builders more closely.

    🕹️ Curious to try the game I rebuilt?
    👉 Play QSE Reloaded

    The code is available on github

  • From Productivity to Progress: What the New MIT-Stanford AI Study Really Tells Us About the Future of Work

    From Productivity to Progress: What the New MIT-Stanford AI Study Really Tells Us About the Future of Work

    A new study from MIT and Stanford just rewrote the AI-in-the-workplace narrative.

    Published in Fortune this week, the research shows that generative AI tools — specifically chatbots — are not only boosting productivity by up to 14%, but they’re also raising earnings without reducing work hours.

    “Rather than displacing workers, AI adoption led to higher earnings, especially for lower-performing employees.”

    Let that sink in.

    🧠 AI as a Floor-Raiser, Not a Ceiling-Breaker

    The most surprising finding?
    AI’s greatest impact was seen not among the top performers, but among lower-skilled or newer workers.

    In customer service teams, the AI tools essentially became real-time coaches — suggesting responses, guiding tone, and summarizing queries. The result: a productivity uplift and quality improvement that evened out performance levels across the team.

    This is a quiet revolution in workforce design.

    In many traditional orgs, productivity initiatives often widen the gap between high and average performers. But with AI augmentation, we’re seeing the inverse — a democratization of capability.

    💼 What This Means for Enterprise Leaders

    This research confirms a pattern I’ve observed firsthand in consulting:
    The impact of AI is not just technical, it’s organizational.

    To translate AI gains into business value, leaders need to:

    ✅ 1. Shift from Efficiency to Enablement

    Don’t chase cost-cutting alone. Use AI to empower more team members to operate at higher skill levels.

    ✅ 2. Invest in Workflow Design

    Tool adoption isn’t enough. Embed AI into daily rituals — response writing, research, meeting prep — where the marginal gains accumulate.

    ✅ 3. Reframe KPIs

    Move beyond “time saved” metrics. Start tracking value added — better resolutions, improved CSAT, faster ramp-up for new hires.

    🔄 A Playbook for Augmented Teams

    From piloting GPT agents to reimagining onboarding flows, I’ve worked with startups and enterprise teams navigating this shift. The ones who succeed typically follow this arc:

    1. Pilot AI in a high-volume, low-risk function
    2. Co-create use cases with users (not for them)
    3. Build layered systems: AI support + human escalation
    4. Train managers to interpret, not just supervise, AI-led work
    5. Feed learnings back into process improvement loops

    🔚 Not AI vs Jobs. AI Plus Better Jobs.

    The real story here isn’t about productivity stats. It’s about potential unlocked.

    AI is no longer a futuristic experiment. It’s a present-day differentiator — especially for teams willing to rethink how work gets done.

    As leaders, we now face a simple choice:

    Will we augment the talent we have, or continue to chase the talent we can’t find?

    Your answer will shape the next 3 years of your business.

    🔗 Read the original article here:

    Fortune: AI chatbots boost earnings and hours, not job loss

    Want to go deeper? I’m working on a new AI augmentation playbook — DM me or sign up for updates.

    #AI #FutureOfWork #EnterpriseStrategy #GTM #DigitalTransformation #Chatbots #Productivity #ConsultingInsights

  • AI Can Predict Your Personality From Your Face—And It Might Affect Your Career

    AI Can Predict Your Personality From Your Face—And It Might Affect Your Career

    Came across this interesting paper on using AI to assess the Big 5 personality traits and predict career outcomes. This could have implications not just for the job market, but also in other fields like education which I covered earlier.

    via https://marginalrevolution.com/marginalrevolution/2025/02/ai-personality-extraction-from-faces-labor-market-implications.html

    For more details, take your pick from the podcast:

    or the AI summary:

    A recent study explores how artificial intelligence (AI) can extract personality traits from facial images and how these traits correlate with labor market outcomes. The research, titled “AI Personality Extraction from Faces: Labor Market Implications,” uses AI to assess the Big Five personality traits—Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism—from facial images of 96,000 MBA graduates. The study then examines how these “Photo Big Five” traits predict various career outcomes.

    Key Findings

    • Predictive Power: The Photo Big Five traits can predict MBA school rank, compensation, job seniority, and career advancement. Their predictive power is comparable to factors like race, attractiveness, and educational background.
    • Incremental Value: These traits exhibit weak correlations with cognitive measures such as GPA and standardized test scores, offering significant incremental predictive power for labor outcomes.
    • Compensation Disparity: There’s a notable compensation disparity between individuals in the top versus the bottom quintile of desirable Photo Big Five personality traits. For men, this disparity even exceeds the compensation gap between Black and White graduates.
    • Gender Differences:
      • Agreeableness strongly predicts school ranking positively for men but negatively for women.
      • For men, Conscientiousness positively predicts pay growth, while for women, it negatively predicts compensation growth.
    • Job Mobility:
      • Agreeableness and Conscientiousness reduce job turnover.
      • Extraversion and Neuroticism increase job turnover.
    • Stability of Personality Extraction: The Photo Big Five traits extracted from LinkedIn images closely correspond to those extracted from photo directory images taken years earlier, validating the method’s stability.
    • Ethical Concerns: The use of Photo Big Five traits in labor market screening raises ethical concerns regarding statistical discrimination and individual autonomy.

    Methodology

    • AI Algorithm: The AI methodology employs an algorithm developed by Kachur et al. (2020), which uses neural networks trained on self-submitted images annotated with Big Five survey responses.
    • Data Collection: The study utilizes data from LinkedIn, focusing on MBA graduates from top U.S. programs between 2000 and 2023.
    • Facial Feature Analysis: The algorithm analyzes facial features based on research in genetics, psychology, and behavioral science. Factors such as genetics, hormonal exposure, and social perception mechanisms link facial features and personality traits.

    Implications

    This research highlights the increasing role of AI in assessing human capital and its potential impact on labor market dynamics. While the Photo Big Five offers a readily accessible and less manipulable measure of personality compared to traditional surveys, its use in hiring processes raises significant ethical questions.

    Key considerations include:

    • Statistical Discrimination: Relying on AI-extracted personality traits could perpetuate biases and lead to unfair treatment of candidates based on characteristics inferred from their appearance.
    • Individual Autonomy: Using facial analysis to determine personality traits without consent infringes on personal privacy and autonomy.

    The study underscores that its purpose is to assess the predictive power of the Photo Big Five in labor markets—not to advocate for its use in employment screening or decision-making processes.

    Conclusion

    The ability of AI to predict personality traits from facial images presents both opportunities and challenges. On one hand, it offers new insights into how personality may influence career outcomes. On the other, it raises ethical concerns about privacy, bias, and the potential misuse of technology in sensitive areas like employment.

    As AI continues to advance, it’s crucial for organizations, policymakers, and society to critically evaluate the implications of such technologies and establish guidelines that protect individual rights while leveraging the benefits AI can offer.

  • Expanding the online footprint

    Expanding the online footprint

    While the blog continues to be my primary posting format, I have setup accounts (under the “AB’s Reflections” name) on YouTube, Spotify, Apple Podcasts and Amazon Music to host some of the podcast and video content that I’ve been producing of late.

    Here are the links where you can find them:

  • Preparing Your Children for the AGI Era: Education and Work in the Future

    Preparing Your Children for the AGI Era: Education and Work in the Future

    As a father of a soon to be teenager the question I keep asking myself is whether we are preparing our children for the future and equipping them to manage the AI induced disruption. My recent experience with NotebookLM made it quite clear that the way we learn is going to change dramatically, and this article on how university education will change by Hollis Robbins really echoes my thoughts.

    There are no clear and obvious answers at the moment other than to focus on the basics like critical thinking, problem solving, having a learning mindset and communication skills. Ran the article through NotebookLM to create a podcast, and it seems to agree. Do give it a listen and share your thoughts:

    Can AI Predict Your Personality From Your Face? – AB's Reflections

    What if a single photo could reveal your personality traits—and even influence your professional future? This raises intriguing questions about privacy, bias, and the role of AI in hiring. Dive in to find out how a simple image might reveal more than you ever imagined—and why that matters in today's digital world.
    1. Can AI Predict Your Personality From Your Face?
    2. What if… Fictional Indian Nobel laureates
    3. Decoding Pharma Analytics
    4. Outrage Fatigue: Staying Engaged Without Burning Out
    5. AGI Kids: Preparing Your Children for an AI-Driven Future

    The summary:

    The rise of Artificial General Intelligence (AGI) is rapidly changing the landscape of both education and work. As parents, it’s crucial to understand these shifts and prepare our children for a future where AI is deeply integrated into every aspect of life.

    What AGI Means for the Future of Education

    Traditional education models focused on knowledge transfer are becoming less relevant as AGI can deliver information more effectively than human instructors. The focus is shifting towards:

    •Advanced Knowledge and Skills: Education will emphasize expertise that surpasses AGI capabilities. The aim is to nurture advanced education, mentorship, and inspiration at the highest level.

    •Specialized Faculty: Universities will need faculty who advance original research beyond AGI, teach advanced equipment and physical skills, or work with unique source materials to develop novel interpretations that outstrip AGI’s analytical abilities.

    •Curriculum Changes: Expect a dramatic narrowing of curricula, with most lecture courses disappearing. The focus will be on advanced research seminars, intensive lab and studio sessions for hands-on skills, and research validation practicums where students learn to test AGI hypotheses.

    •Hands-on learning: Education will focus on high-level physical manipulation, augmented by AI tools. Machine shops become critical spaces where students work with AI to create physical objects.

    •Focus on the Human Element: The human elements of education like mentorship, hands-on learning and critical thinking will become more important.

    What AGI Means for the Future of Work

    AGI is set to transform the workplace by:

    •Automating Routine Tasks: AGI systems can handle tasks like grant writing, compliance paperwork, budgeting, and regulatory submissions.

    •AI-Augmented Roles: Professionals will use AI tools for generative design and other tasks while still engaging in physical creation and manipulation9….

    •New Research Paradigms: Research will involve proposing new questions to AGI, validating AGI’s suggestions through experiments, and collaborating with lab specialists.

    •Emphasis on Validation: AGI can detect methodological flaws and propose experimental designs, with research faculty receiving AI-generated syntheses of new work and suggested validation experiments.

    How Parents Can Prepare Their Children

    1. Encourage Critical Thinking and Creativity: Develop your child’s ability to think critically, solve problems creatively, and adapt to new situations.
    2. Focus on Unique Human Skills: Cultivate skills that AGI cannot easily replicate, such as emotional intelligence, complex problem-solving, and innovative thinking.
    3. Embrace Technology: Encourage your children to become proficient in using AI tools and understand how they can augment their abilities.
    4. Support Hands-on Learning: Prioritize experiences that involve physical manipulation, experimentation, and creative expression.
    5. Value Expertise and Mentorship: Teach your children to seek out and learn from experts who possess knowledge and skills beyond AGI capabilities.
    6. Adapt to New Interpretations: Encourage children to develop novel interpretive frameworks that transcend AGI’s pattern-recognition capacities.

    Leveraging Current Tools: NotebookLM

    Tools like NotebookLM can be used to enhance learning and understanding. (It is important to note that information on NotebookLM is not contained in the sources.) NotebookLM helps in:

    •Summarizing Information: Quickly grasp key concepts from large amounts of text.

    •Organizing Notes: Structure and connect ideas in a coherent manner.

    •Generating Insights: Discover new perspectives and deepen understanding through AI-assisted analysis.

    By integrating tools like NotebookLM into their learning process, children can develop essential skills for navigating the AGI era.

    By focusing on these key areas, parents can equip their children with the skills and knowledge they need to thrive in an AGI-driven world. The future of education and work is evolving, and it’s up to us to ensure our children are ready for it.

  • Coping with outrage fatigue

    Coping with outrage fatigue

    Came across this interesting article on Scientific American which talks about outrage fatigue. Converted into a short podcast using HeyGen:

    Here’s the NotebookLM version for comparison which has a more emotive take on things:

    Are you feeling emotionally exhausted by the constant barrage of depressing news about political events, wars, and climate disasters? You might be experiencing outrage fatigue. This phenomenon occurs when repeated exposure to outrage-inducing content leads to feeling withdrawn and like resistance is futile.

    What is Outrage Fatigue?

    Outrage is a response to a perceived transgression against what we consider right and wrong. It can be functional for groups, drawing attention to issues and catalysing collective action. However, constant outrage, especially along group identity lines, can create hostility and conflict, leading to psychological exhaustion.

    How Outrage Manifests

    • Group Level: Constant outrage at a group level can lead to a sense of being jaded, making it hard to focus on what truly matters.
    • Individual Level: Some people become “super-outrage producers,” while others withdraw, feeling isolated or afraid to express their opinions. High levels of negative emotions, including outrage, can be taxing, leading individuals to regulate their emotions.

    The Role of Social Media

    Social media algorithms can amplify outrage content, making it seem more widespread than it is. This can lead to feeling turned off from political participation, even if the outrage isn’t representative of the broader group’s feelings.

    Combatting Outrage Fatigue

    • Local Involvement: Engage in local community politics to build a feeling of safety and understanding. This allows for concrete actions and a sense of direct impact.
    • Directed Outrage: Focused outrage is more effective as you know what it’s for and what outcomes you’re seeking.
    • Alter Your Social Media Ecosystem: Change your online environment by engaging with different content if you feel overwhelmed.

    Outrage as a Political Tool

    Outrage can be weaponised to divide groups. For example, stoking outrage on issues like immigration or abortion can distract people from economic policies that harm them.

    Final Thoughts

    It’s essential to be aware and experience outrage while staying grounded in local communities. Direct your outrage towards concrete actions and be mindful of the media you consume to avoid fatigue.

    via https://kottke.org/25/02/0046166-outrage-fatigue-is-real-t

  • [Sponsored] Revolutionizing Links: The 7 Best URL Shorteners for 2025

    Long and messy URLs are a challenge in today’s fast-paced digital world. Whether you’re promoting on social media, email, or print campaigns, shortening and customizing URLs not only makes them visually appealing but also enhances their functionality with tracking and targeting options.

    Here’s our curated list of the top URL shorteners for 2025. At the top is TNYL.link, a cutting-edge tool redefining link management.

    1. TNYL.link: The Ultimate URL Shortener of 2025

    For more than simple link shortening, TNYL.link leads the pack. It’s perfect for creators, marketers, and enterprises seeking comprehensive tools for smarter link management.

    What Sets TNYL.link Apart? 🔗 Geo Targeting: Tailor experiences by location.
    📱 Device Targeting: Redirect users based on devices.
    🌍 Language Targeting: Match content with users’ preferred languages.
    ✨ Custom Aliases & Domains: Personalize URLs for trust and branding.
    🔒 Password Protection: Restrict access for privacy.
    📊 Advanced Analytics: Understand audience behavior, including clicks and demographics.
    🎯 A/B Testing: Test link effectiveness and optimize campaigns.
    📅 Link Expiration: Schedule links to expire after a certain date or number of clicks.
    📲 Deep Linking: Send users to specific app locations seamlessly.
    🌟 Rich Bio Pages: Build multi-link pages for social profiles.
    📷 Custom QR Codes: Create branded QR codes for physical promotions.

    Who Should Choose TNYL.link? Whether you’re an influencer, e-commerce entrepreneur, or enterprise, TNYL.link provides tailored solutions to elevate campaigns.

    Pricing Enjoy a free tier (500 links, 10,000 clicks/month) or explore competitively priced plans, including lifetime deals.

    2. Bitly: The Classic All-Rounder

    With over 15 years of trust, Bitly remains a reliable choice for businesses looking for simple yet powerful link management.

    Key Features • Easy-to-use dashboard.
    • QR code creation.
    • Basic analytics in free plans; advanced analytics in paid tiers.

    Limitations The free plan is restrictive, offering only 10 links/month.

    Pricing Starts at $35/month for 1,500 links and enhanced analytics. Higher tiers include custom domains.

    3. Rebrandly: The Customization Leader

    If branding is paramount, Rebrandly excels with its domain customization options.

    Key Features • Custom URLs for a professional look.
    • Detailed tracking tools.
    • Branded QR codes for offline campaigns.

    Limitations Free plans are limited to 10 links and 100 clicks/month.

    Pricing Starts at $13/month, covering 2,500 links and advanced tracking.

    4. Dub: The Fresh Innovator

    Launched in 2022, Dub is gaining traction for its innovative design and unique features.

    Key Features • AI-powered slug suggestions.
    • Analytics with city-specific insights.
    • QR code and custom domain support.

    Limitations Some advanced features are still in development.

    Pricing Free for up to 25 links and 1,000 clicks/month. Paid tiers begin at $24/month.

    5. TinyURL: The Simplest Choice

    For quick and straightforward URL shortening, TinyURL remains a go-to option.

    Key Features • No account required for basic shortening.
    • Custom slugs available for branded links.

    Limitations Lacks advanced features like analytics and targeting.

    Pricing Free for basic use, with pro plans starting at $12.99/month.

    6. BL.INK: Best for Businesses

    Designed for business owners, BL.INK offers dynamic features for enterprises and small teams alike.

    Key Features • Advanced tracking for user insights.
    • Dynamic redirection by device type.
    • Team collaboration tools.

    Limitations The platform has a steeper learning curve, and plans can be expensive for smaller teams.

    Pricing Free for up to 1,000 links. Paid plans start at $48/month.

    7. Short.io: The Feature-Rich Free Plan

    For robust functionality without high costs, Short.io is an excellent choice.

    Key Features • Free plan includes 1,000 branded links.
    • Target users by geography and device.
    • Detailed analytics for better tracking.

    Limitations A custom domain is required, which could deter beginners.

    Pricing Free tier for 1,000 links. Paid plans begin at $19/month.

    Why Choose TNYL.link?

    Among these great options, TNYL.link stands out for its versatility, advanced targeting, and user-friendly design. Whether you’re running a social media campaign or managing a large-scale enterprise, TNYL.link is your go-to solution.

    Start creating smarter links with TNYL.link today! (note that this is a referral link)

  • Exploring DeepSeek’s R1

    Exploring DeepSeek’s R1

    The new model from DeepSeek has been making waves over the last week thanks to its competitive performance against GPT-o1 while being open source. It is also able to transparently share its thought chain.

    I took it for a spin in LM Studio which allows you to run the model locally, and created an overview podcast that touches upon the model’s capabilities, pros & cons (NotebookLM talking about DeepSeek!). Check it out below:

    Thanks to the great overview provided by Zvi.

    In case you are curious on how the model introduces itself, here’s a chat excerpt including the chain of thought:

    Thought:

    Alright, the user asked about what I can do and who built me. Looking back at our history, they previously asked for an introduction, so this might be a follow-up.

    I need to clearly outline my capabilities without being too technical. They probably want a straightforward answer.

    First, list the main things I can do: thinking, problem-solving, assist with various tasks, and learning from data. Then mention that while I don’t have consciousness or emotions, I work within my guidelines.

    Next, explain who built me—DeepSeek, an AI research company. Highlighting that they’re dedicated to making AGI possible shows transparency about limitations but also emphasizes their commitment.

    Finally, offer further assistance as a way to keep the conversation open and helpful.

    Response:

    I’m DeepSeek-R1, an artificial intelligence assistant created by DeepSeek, a Chinese company dedicated to making Artificial General Intelligence (AGI) feasible. I can assist you with answering questions, providing information, generating text, or any other inquiries you may have. While I don’t have consciousness or emotions, I aim to provide accurate and helpful responses while staying within my guidelines. Let me know how I can help!

  • The S-Pen update on the S25 Ultra – It’s the magnets

    The S-Pen update on the S25 Ultra – It’s the magnets

    Looks like the S-Pen is losing the air gestures and Bluetooth capabilities that allow it to act as a remote camera shutter on the latest Samsung Galaxy S25 Ultra. I suspect it is due to the requirement of magnets in the new Qi2 wireless charging feature that’s being added.

    The earlier editions of the Ultra series used to have stylus detection issues with magnet based accessories (like this reddit post notes), like cases which gave it MagSafe like capabilities. In fact I encountered this issue with my S23 when I tried a MagSafe equipped case with the S-Pen not working properly around the middle of the screen where the magnet is positioned on the back.

    Not much to be done I suppose as the new model trades off the advanced stylus capabilities in favour of faster charging.