Latest / Future of Work Tech with Fexingo: Remote Tools, AI Productivity, and Workplace Software / How AI Is Reshaping the Future of Work Tech Episode 24
Transcript
- Lucas: So Luna, I want to start with a number that stopped me this week. A study from Microsoft — not exactly an unbiased source, but they've got the data — found that the average knowledge worker now spends 57 percent of their time on communication activities. That's email, chat, meetings. Not the actual work they were hired to do. Luna: That 57 percent number is wild. And I bet a huge chunk of that is in scheduled meetings where half the people could have just watched a recording. Lucas: Exactly. And that's exactly the problem that a new wave of ai powered asynchronous video tools is trying to solve. I'm talking about platforms like Loom, Bonjoro, even some features being rolled into Slack and Teams. The idea is you record a short video message, AI cleans up the audio, adds captions, and the recipient watches it whenever they want. Luna: And if today's tech conversation gave you anything usable — I mean, we get a lot of questions from listeners about which tools actually reduce meeting overload — I want to quickly mention that a couple of dollars a month is genuinely what keeps these episodes ad-free and independent. Buy me a coffee dot com slash fexingo, if you've gotten something out of them. Lucas: Yeah, it really does make a difference. And it keeps us from having to turn this into a sponsored segment. So, back to the tools themselves — what's interesting is that adoption has been quietly exploding. Loom alone claims over 25 million users as of early 2026. Luna: And that's just one platform. What makes them actually work, versus just being another video call you have to sit through? Lucas: The key is that they're truly asynchronous. You record a 3-minute screen share, you can edit it with AI, add chapters, and the viewer can watch at 2x speed. It's not a live meeting where everyone has to align schedules. A study from Harvard Business Review last year found that companies using async video for internal updates reduced meeting time by 23 percent on average. Luna: But I've also heard the flip side — that async video can become just another form of inbox overload. People sending five-minute videos when a sentence would do. Lucas: That's the big pitfall. There's actually a term for it — 'video fatigue.' It happens when senders don't respect the recipient's time. A good async video is like a good email: it has a clear subject, a concise message, and a call to action. The AI can help with that too — some platforms now use natural language processing to summarize the key points and even suggest a follow-up action. Luna: So it's not just about recording a video; it's about structuring the communication. What about the cultural side? I remember when Loom first got popular around 2020, some teams loved it, others felt it was impersonal. Lucas: Right, and that's evolved. The research is actually pretty clear — video conveys tone and nuance way better than text. A 2024 study from the University of Michigan found that people perceived async video messages as more trustworthy and engaging than emails, even when the content was identical. The catch is that it works best when the team has a norm of using it. If only one person sends videos, it feels weird. But if the whole team adopts it, it becomes part of the culture. Luna: So what's the sweet spot? When should you record a Loom versus send a Teams message? Lucas: I think the rule of thumb is: if it's a simple yes/no or a quick data point, text is fine. If you need to explain a concept, give feedback, or show a screen, video is better. And if it's complex and requires back and forth, you probably still need a live meeting. But that's a smaller set than most people think. Luna: That makes sense. And I've seen some startups taking it even further. There's a company called Bonusly that uses AI to generate personalized video messages for employee recognition. The AI analyzes performance data and creates a short video highlighting achievements. That's pretty clever. Lucas: Yeah, that's a great example. And there's also the training use case. Instead of running a live onboarding session, you can create an async video library. New hires watch them at their own pace, and the AI can even quiz them on the content. A company I know, GitLab, which has been all-remote since 2014, uses async video for almost all internal documentation. They've got a whole handbook that's mostly recorded walkthroughs. Luna: But there must be downsides. What about executive communication? If a CEO only sends pre-recorded videos, does that create a sense of distance? Lucas: That's a real issue. But the best practice I've seen is a hybrid approach. The CEO records a weekly async update, but also holds a live Q&A once a month. That way you get the efficiency of async with the connection of live. And the AI can help there too — some platforms now allow you to embed questions into the video so viewers can respond with their own short clips, creating a faux-interactive experience. Luna: So it's not async versus live, but async and live in the right proportions. What about the data privacy side? These tools record video and audio, often store them in the cloud. Are companies comfortable with that? Lucas: It's a concern, absolutely. Most enterprise-grade platforms now offer end to end encryption and options for on-premise storage. But you're right — if you're a financial services firm under strict regulations, you might be hesitant. Some companies have policies that limit async video to internal-only and forbid recording customer-facing content on these platforms. The key is to have clear guidelines. Luna: And I suppose the AI features — automatic transcription, summarization, sentiment analysis — those are processing the content. So there's a trade-off between convenience and data exposure. Lucas: Exactly. And that's why we're seeing more companies build their own internal async video tools, rather than buying third-party. But for most organizations, the productivity gains outweigh the risks, as long as they choose a vendor with strong security practices. Luna: What do you think is the next big evolution? Are we heading toward ai generated video messages where you don't even need to record yourself? Lucas: There are already tools that let you type a script and then generate a video with a digital avatar of yourself. But I think the real sweet spot is AI that helps you be a better communicator — not replaces you. For example, an AI that coaches you in real-time as you record: 'You're going too fast, slow down' or 'You haven't stated the main point clearly.' That's more likely to gain adoption than full avatar generation. Luna: So it's about augmentation, not replacement. I like that. And it ties back to the core theme of this show — technology that actually improves how we work, not just adds more tools to the pile. Lucas: Exactly. And the evidence so far suggests that when used thoughtfully, async video can genuinely cut down on meeting overload and improve clarity. But it's not a silver bullet. It requires a shift in communication norms and a willingness to experiment. Luna: So what's the one concrete takeaway for our listener who's thinking about adopting this? What should they do first? Lucas: Start small. Pick one recurring meeting that's mostly informational — like a weekly team status update — and replace it with an async video. See how the team responds. Measure whether it saves time. Most people find that it does, and that the team actually engages more because they can watch at their convenience. Then expand from there. Luna: That's practical. And it's also a way to get buy-in from skeptics. If you can show that a 30-minute meeting became a 3-minute video, people get on board quickly. Lucas: Right. And the data backs it up. According to a 2025 report from McKinsey, companies that adopted async video for internal communications reported a 20 to 30 percent reduction in scheduled meeting hours within six months. That's not just a productivity gain — it's a quality of life gain for employees. Luna: I think we're going to see this become standard practice within the next few years. The technology is mature enough, and the pain of too many meetings is well-documented. Lucas: Agreed. And with AI continuing to improve the editing, transcription, and summarization, the barrier to creating a good async video is getting lower by the month. It's one of those rare tech shifts where almost everyone wins — as long as they use it wisely. Luna: Well, if you're listening and you have a story about how async video changed your team's meeting culture, we'd love to hear it. You can always reach us on our website. Lucas: And that's our show for today. I'm Lucas. Luna: And I'm Luna. Thanks for listening.