Remote work looked different in 2020 than it does in 2026. Early remote work was survival mode — people figured out the basics, accepted a lot of friction as the price of working from home, and moved on. Six years later, the friction is still there, but the tools for reducing it have gotten meaningfully better.
Two specific areas have seen improvements that are worth knowing about: what happens during virtual meetings, and how you look on camera during them. Neither sounds revolutionary on its own. Together, they address two of the most consistent complaints remote workers have about the day-to-day reality of working from home.
The Meeting Problem
Virtual meetings are a defining feature of remote work, and also one of its most exhausting elements. The exhaustion isn’t entirely about time — it’s also about cognitive load. Following a conversation on a call, keeping track of what gets decided, and then translating that into notes and action items afterward takes energy that could go toward actually doing the work.
If you’re the one running the meeting, the cognitive load is even higher. You’re managing the conversation, paying attention to what’s being said, and simultaneously trying to remember enough to write a useful summary afterward. Something always gets lost.
AI note takers solve this by handling the capture and synthesis automatically. Krisp’s AI note taker is one of the stronger tools in this space — it joins your calls, transcribes the conversation in real time, and generates structured summaries with action items, decisions, and key points. After the call ends, you have a document that captures what actually happened rather than what you managed to write down while also trying to listen.
The immediate effect is that you can actually be present during meetings instead of splitting attention between listening and note-taking. The longer-term effect is that your meeting records become reliably useful — something you can reference accurately instead of vaguely.
The Professional Photo Problem
The second area where remote work creates persistent friction is one that’s easy to overlook: the professional photos associated with your identity online. Your LinkedIn headshot, your company team page photo, your conference speaker profile — these images are seen repeatedly by clients, colleagues, and recruiters who are forming impressions before they’ve ever spoken to you.
The problem is that most of these photos are taken incidentally. Somewhere at an event with a busy background. At a desk with whatever happens to be behind you. In a hurry because a form needed a photo. The result is a photo that looks like documentation rather than intention.
Picsart’s background changer is a photo editing tool that fixes this after the fact. You take a decent shot — phone camera, good natural light — upload it, and the AI identifies you and removes the background cleanly. You then apply whatever suits the context: a clean neutral tone for a LinkedIn headshot, a branded color for a company website, a natural environment that reads as warm and professional. The whole process takes a few minutes. The result often looks like you paid for a studio session.
These photos follow you across your professional life, and the background in them is communicating something about you every time someone looks. Getting that background right is a small investment with a long return.
Why Both of These Matter for the Same Reason
At first glance, AI note taking and AI background changing don’t have much in common. But they’re solving the same underlying problem: the gap between what remote work looks like in theory and what it actually looks like in practice.
In theory, remote work is efficient — less commuting, more focused work time, flexible scheduling. In practice, it’s full of small frictions that accumulate into real costs: meetings that produce unclear outcomes, professional presentation that’s harder to maintain without office infrastructure, the cognitive overhead of tracking everything yourself.
Tools that reduce specific frictions are valuable in proportion to how often that friction occurs. Meetings happen every day. Your professional photos are seen every time someone checks your profile. These aren’t edge cases — they’re central to how remote work actually functions.
Making the Most of AI Meeting Tools
Getting real value from an AI note taker requires a few small adjustments to how you run meetings. The AI captures what’s said, so the quality of what it captures depends partly on how clearly ideas are articulated.
This means it’s worth developing habits around meeting communication — summarizing decisions verbally before moving on, explicitly stating action items rather than implying them, and occasionally confirming what was agreed. These are good meeting habits regardless of whether AI is capturing the notes, but they become more obviously valuable when you see the effect on the quality of your AI-generated summaries.
A Note on Prompt Quality for AI Tools
As you build AI tools into your workflow more broadly, you’ll find that the quality of your interactions with AI often depends on how clearly you can express what you want. This is true for meeting tools when setting up summaries and preferences, and it’s true for image tools when describing what kind of background or result you’re looking for.
If you’re newer to working with AI tools across different contexts, this guide on writing effective AI prompts is a practical introduction to communicating with AI systems in ways that get better results. It’s worth a read if you’re finding that AI tools aren’t quite giving you what you expected.
Starting Points
If you’ve been aware of these tools but haven’t committed to using them consistently, picking one specific use case and sticking with it for a month tends to be more effective than trying to overhaul your whole workflow at once.
For meetings: let the AI note taker run on every internal team meeting for a month and see how it changes your ability to track what was agreed and who is responsible for what. The improvement is usually noticeable within a week.
For professional photos: find the photo you use most often professionally — the one on your LinkedIn or company website — and try replacing the background. Compare the result to the original. That comparison usually makes a persuasive case.
The tools are there. The friction they address is real. The adoption cost is low enough that the question is less “should I use these” and more “what’s keeping me from starting.”
