Fresh Perspectives: Living in the reality of SharePoint intranets

David Bowman and Jarbas Horst from Fresh Intranet share their bold predictions for workplace technology in 2026. The conversation reveals three major shifts that will reshape how organizations operate and communicate internally.

The duo explores the growing threat of AI generated content flooding workplaces and social media platforms, creating what they call AI slop that risks losing employee attention entirely. They discuss how Microsoft 365 organizations will drive software consolidation as Copilot becomes central to workplace AI strategy, forcing companies to evaluate whether external systems can justify their costs when they lack AI integration. David and Jarbas also examine how internal communications roles will become heavily AI augmented, with agents handling sentiment analysis, content prioritization, and even autonomous task execution.

What is Fresh Perspectives: Living in the reality of SharePoint intranets?

Need to use a SharePoint intranet due to internal policies, company transitions, or legacy systems? When all the available information is overly technical or negative, where do you turn? Enter Fresh Perspectives: Living in the reality of SharePoint intranets. We provide useful, jargon-free insights and real-world examples to help you maximize the benefits of SharePoint intranets and tackle its challenges. Pro-SharePoint but realistic, we debunk misconceptions and share product management insights from Fresh Intranet.

Jarbas [0:00:14]: Hi have everyone.

Jarbas [0:00:14]: Welcome to new total of Fresh Perspectives, Jarbas Horst, senior product manager for Fresh and joined by

David [0:00:21]: David Bowman, product director for Fresh Intranet.

Jarbas [0:00:24]: There we go.

Jarbas [0:00:25]: And today, we are talking about predictions, total for thousand fifty six.

Jarbas [0:00:29]: Yeah.

Jarbas [0:00:29]: We came up with some topics there there were Right?

David [0:00:32]: Well, you went away and came up with three, I went away, came up with three.

David [0:00:35]: And when we got together, what we realized was, they're basically the same three.

Jarbas [0:00:39]: We were quite aligned and in sync here.

David [0:00:42]: Yeah.

David [0:00:42]: Or I just copied your homework.

Jarbas [0:00:47]: That was the first one sharing just yeah clarification here.

David [0:00:49]: Well, I'm will never never now way.

Jarbas [0:00:51]: That's a good point.

Jarbas [0:00:52]: Yeah.

Jarbas [0:00:52]: We talked a bit about that previously, and, oh, we are aligned viking in terms of the topics.

Jarbas [0:00:56]: We have like, I think a different angle.

Jarbas [0:00:57]: But...

Jarbas [0:00:58]: Yeah.

Jarbas [0:00:58]: See how this goes.

David [0:01:00]: Yeah.

David [0:01:00]: Alright.

David [0:01:00]: So Jarvis, tell us.

David [0:01:02]: What is your prediction for twenty twenty six.

Jarbas [0:01:06]: Right.

Jarbas [0:01:06]: So the first prediction is about Ai law basically.

Jarbas [0:01:10]: And it's the risk that...

Jarbas [0:01:12]: People creating content regardless while you are creating that for your personal blog or within organization, writing new posts that we risk by using Ai too much to lose people's attention and the interest for the content we are creating.

Jarbas [0:01:26]: No.

Jarbas [0:01:27]: So it's becoming so easy in nowadays like, to generate content with Ai.

Jarbas [0:01:31]: The written type of content.

Jarbas [0:01:33]: We...

Jarbas [0:01:33]: I think we are becoming experts doing that.

Jarbas [0:01:36]: Mh.

Jarbas [0:01:36]: Now also images.

Jarbas [0:01:37]: The tools are becoming...

Jarbas [0:01:38]: So good.

Jarbas [0:01:39]: Like, if you think of cha pretty and how quickly you can create really professional booking images audio content, we see, like so many Ai generated podcasts, this one is not a ai generated.

Jarbas [0:01:51]: By the way, the many mistakes and video.

Jarbas [0:01:54]: Right?

Jarbas [0:01:55]: So video also it's an area where it's improving and are probably tools that Are specialize in doing that.

Jarbas [0:02:01]: So I think it's the the options they are many now.

Jarbas [0:02:04]: And we need to make sure that it's not just, no Just not like, you put a prompt out there, you generate your blog post, You put it out.

Jarbas [0:02:11]: Or maybe like a a link post or a social media post.

Jarbas [0:02:14]: Because what I I see happening right now is like, someone generates Rad an Ai, content, post that linkedin, and it has always have the same way of starting in same way of ending, very similar.

Jarbas [0:02:25]: And then you have an Ai, like, someone use Ai to provide a comment that content and next always talking to them.

David [0:02:31]: Yeah.

David [0:02:31]: The humans were involved in the production of

Jarbas [0:02:34]: this Yes.

Jarbas [0:02:35]: No one was harm.

Jarbas [0:02:36]: No one was involved from the decrease.

Jarbas [0:02:37]: Yeah.

Jarbas [0:02:38]: So that's I think the the challenge we have and people need to be careful of for.

David [0:02:43]: Yeah.

David [0:02:43]: There's definitely a marked increase end of twenty twenty five compared to sort of ended of twenty twenty four.

David [0:02:47]: But, you know, I I do feel genuinely conflicted about this because You know, I saw sat in Na mandela did a post on his new blog last week, referring to the Steve jobs interview about kind of computing from the early days of sort of personal computers talking about a bicycle for the mind.

David [0:03:03]: Yeah.

David [0:03:04]: Right?

David [0:03:04]: And sounds very philosophical quite a sort of high level concept.

David [0:03:08]: But, you know, I think there is something in there because, you know, I think it's...

David [0:03:11]: This is still a pretty new technology.

David [0:03:12]: And I think what we're seeing is an increase in the amount of people that are.

David [0:03:16]: Experimenting with this technology.

David [0:03:17]: And I think that experimentation is what leads to innovation.

David [0:03:21]: Right?

David [0:03:21]: But I think it's dangerous to just sort of cast it all aside, I think not all Ai s is created equally And I think that there is value in there somewhere in various different ways.

David [0:03:34]: Right?

David [0:03:34]: You know, I use social media quite a lot...

David [0:03:36]: Quite a lot of decompression goes on a bit of doomed scrolling sometimes.

David [0:03:40]: And, you know, what I see in some of the very clearly Ai generated videos.

David [0:03:44]: Is actually some really sharp, observed creativity, witty, funny stuff.

David [0:03:50]: There was a series a few weeks back of of the queen wrapping on the streets of London and Birmingham, and, you know, it was it was sharp.

David [0:03:58]: You know, It's quite sort of witty, and, you know, it looks like it's got quite high production values because it's Generated, of course.

David [0:04:04]: But, you know, there's...

David [0:04:06]: So there's something in there.

David [0:04:07]: I think that is creative useful.

David [0:04:09]: It's difficult to describe it as valuable when it's the queen wrapping, of course.

David [0:04:13]: But, you know, I think all of this stuff leads to some level of innovation somewhere.

David [0:04:16]: So I it's difficult to write all offers being Ai slot.

David [0:04:19]: But I do get the point that, you know, the more that these...

David [0:04:23]: Social media platforms in particular fill up with obviously fake content reduces the value and potentially the audience over time as well.

Jarbas [0:04:32]: I think if you see a value...

Jarbas [0:04:34]: And the value can be, like in that statement.

Jarbas [0:04:36]: Right?

Jarbas [0:04:36]: Yeah.

Jarbas [0:04:36]: On what we are consuming there.

Jarbas [0:04:38]: It's fine.

Jarbas [0:04:39]: So even if it's say, I generated.

Jarbas [0:04:40]: Now, the the risk is, like, you know go read something.

Jarbas [0:04:44]: And everything has, like, the same structure, the same format.

Jarbas [0:04:47]: The dash is.

Jarbas [0:04:48]: Yeah.

Jarbas [0:04:49]: Yeah.

Jarbas [0:04:49]: There's some ways like, how the content is great that it looks always kind of just the same.

Jarbas [0:04:53]: It becomes hard read.

Jarbas [0:04:55]: Right?

Jarbas [0:04:55]: Like...

David [0:04:56]: Yes.

Jarbas [0:04:56]: Because you know, you might maybe even, like, know that that person like and it's not authentic that it's not the way how that person, like, or organization or even, like, would they express themselves.

David [0:05:06]: There's a tough thing there for me as well because I...

David [0:05:08]: You, historically, I was an M dash.

David [0:05:09]: Die.

David [0:05:10]: Right?

David [0:05:10]: You know, that was in my writing style.

David [0:05:12]: And since, Ai tools are taken off of.

David [0:05:15]: I have noticed myself kind of retreating from using M dashes in any written content because everything is, like, an immediate telltale sign that's it's being created with Ai.

David [0:05:25]: Know, the reason I do that is that I do think that people disconnect when they can collectively clearly see that something is Ai generated, and it feels like you're reading something fake.

Jarbas [0:05:34]: Yeah.

Jarbas [0:05:34]: I think like that's I said when it comes to those videos in in seoul from media.

Jarbas [0:05:38]: Right?

Jarbas [0:05:38]: It's the...

Jarbas [0:05:38]: If you have also the thing that you are being fooled.

Jarbas [0:05:41]: Yeah.

Jarbas [0:05:41]: Depending on the type of content that people are creating they're, like, so you end up mainly losing trust or confidence the platform.

Jarbas [0:05:46]: I think that's the reason that I see with Ai.

Jarbas [0:05:49]: And because, like, the the ai generated content.

Jarbas [0:05:52]: So it's it's so easy to create that now.

Jarbas [0:05:54]: Anyone can create.

Jarbas [0:05:55]: We need, like, to make sure that we are not, like, just putting something out there where there's a lot of rambling where everything just looks the same.

Jarbas [0:06:02]: User ai, I think like to assist your create and and achieve your goal.

Jarbas [0:06:06]: But they'd like not to go end brand.

David [0:06:09]: Yeah.

David [0:06:09]: Well, And and, look, you know, I think the lens that I was looking at this first prediction through, you know, it's really kind of focusing on employee attention.

David [0:06:17]: But I think that there is a real challenge for organizations related into this area.

David [0:06:20]: Their employee attention is becoming a very scarce resource in organizations.

David [0:06:24]: Right?

David [0:06:24]: There isn't a lot of time for people to consume all the content that, you know, a you need them to would be you would like them to as an organization you want people working a focused and achieving objectives for your organization not necessarily reading everything that you're putting out into into the organization.

David [0:06:41]: And, you know, I think people are saturated with content already.

David [0:06:44]: Right?

David [0:06:44]: Teams, calendars, inbox, slack, announcements, alerts, stuff coming through our mobile phone, stuff coming through on desktop.

David [0:06:53]: There is just content everywhere now.

David [0:06:55]: And, you know, I think increasingly this amount of noise, generates dis engagement for organizations for employees, there is a tendency for people to just be on broadcast mode and dis decelerating everything in anything at all times in the day as well.

David [0:07:09]: And, you know, in particular, kind of organizations leading with what you must do rather than what you need to know.

David [0:07:15]: And, you know, I think if you layer Ai on top of this for an organization.

David [0:07:20]: Right?

David [0:07:20]: Where it it's so easy to create a huge amount of other content very quickly.

David [0:07:24]: This problem feels to me like it will be getting significantly worse.

Jarbas [0:07:29]: Like, you regarding of this, you you wrote a blog post about that.

Jarbas [0:07:32]: And there is this one park or, like, just saying no.

Jarbas [0:07:35]: So, like, yeah.

Jarbas [0:07:36]: Leaders need to like to think and rely on their instincts and start, like, saying no and applying, like, some maybe guide rails.

Jarbas [0:07:44]: Could you mention a bit of mod there?

David [0:07:47]: Yeah.

David [0:07:47]: Yeah.

David [0:07:47]: Well, you know, I think it's a difficult thing to do right?

David [0:07:49]: Because everybody has their own individual message that they would like to push out into the organization, and they can be very tempting as a leader to believe that yours is the most important.

David [0:07:57]: And in you know, anything above a a very small organization, the number of leaders can grow exponentially.

David [0:08:03]: Therefore, the amount of important content becomes significant as well.

David [0:08:08]: You know, I think the role of one of the extremely positive roles that internal communications complain an organization is to be that person that is saying no.

David [0:08:16]: And managing expectations because it as a leader, it can be very difficult to individually go, no.

David [0:08:22]: My message is not as important as that person's message Right?

David [0:08:26]: You know, it's unlikely for that to happen.

David [0:08:28]: And without some guard rails and perhaps that is internal communications in an organization.

David [0:08:33]: Everybody is just on broadcast mode all the time.

David [0:08:35]: So, you know, whilst it is incumbent on leaders to be reasonable about this.

David [0:08:39]: It's unlikely that you're...

David [0:08:41]: You know, you may not even know that there's a bunch of other people in the organization they're pushing content out at the same time you are.

Jarbas [0:08:47]: And they're have reinforced like the role of internet communications.

Jarbas [0:08:49]: Right?

Jarbas [0:08:50]: So they they have the overview, they have, like, a a calendar where they are managing all of this content.

Jarbas [0:08:54]: So like, really bat.

David [0:08:57]: Yes.

David [0:08:57]: But it does require an organization to recognize that its employees level of attention is a finite resource.

David [0:09:05]: Right?

David [0:09:05]: And you do have to protect it, and you need to spend time working out.

David [0:09:09]: What is the focused message that we should be giving to people.

David [0:09:12]: And, you know, in any organizations where there are tools, people's disposal that they can use Ai to be generating a lot of content.

David [0:09:20]: I think it needs to be crack down their organizations way more than it does need to be on social media because people will misuse it, believing that their Ai generated message is the most important thing that everybody else needs to know about.

David [0:09:31]: Mh.

Jarbas [0:09:32]: We'll role, I think like something very stronger in your in your blog, which is the questions basically here.

Jarbas [0:09:38]: So what is consuming attention without creating value and why it's just still there of, kind of a, I think it's a fundamental thing for organizations like, to identify.

Jarbas [0:09:48]: Yeah.

Jarbas [0:09:49]: And what what like, changed themselves?

David [0:09:51]: Yes.

David [0:09:51]: Well, and value needs to be...

David [0:09:53]: You know, you you have recognized that there is a block of attention that you're gonna be able to put people's eyeballs on your pieces of content.

David [0:10:00]: What is number one, two and three on that list.

David [0:10:03]: Very good.

Jarbas [0:10:04]: There is this v analytics benchmark where they analyze, like, how much time people really spend

David [0:10:10]: Yes.

Jarbas [0:10:11]: On Internet or, like, a really lock.

Jarbas [0:10:13]: It's this small.

Jarbas [0:10:14]: I can...

Jarbas [0:10:15]: Yeah.

Jarbas [0:10:15]: I mean, So you are fighting for that attention, Like, on the content you were putting out.

Jarbas [0:10:20]: Right?

Jarbas [0:10:20]: Yes.

Jarbas [0:10:21]: It's a fractional time compared, like, for to the amount of time that they have, like, the perform tasks.

David [0:10:26]: And, you know, the impact is not making...

David [0:10:28]: Best use of that or optimizing for the attention that's available is that people will make their own decisions about whether they're gonna read it whether they're gonna consume it.

David [0:10:36]: The result of that could be ignorance.

David [0:10:38]: It could be decisions not getting made in the organization.

David [0:10:40]: Or employees finding their own way of consuming content by, you know, turning your carefully crafted message into a couple of bullet points that's grounded in their context.

David [0:10:49]: I think it's probably a bad thing to allow employees to be making their own judgments about how they're gonna consume messages that you're share.

Jarbas [0:10:57]: Great.

Jarbas [0:10:57]: Well, then let's talking now about prediction number two.

Jarbas [0:11:00]: So I think it's it's coming right life from thousand twenty five, and I believe those this will continue in two thousand twenty six, maybe even increased is software consolidation, especially for organizations who are Microsoft three sixty five centric.

Jarbas [0:11:17]: And I mean, here organizations who have, like, all of their employees with a Microsoft this five license.

David [0:11:23]: Mh.

Jarbas [0:11:24]: Because when we are talking about Microsoft, we're also talking about a platform that gives us tools for collaboration communication, automation social network, and much more.

Jarbas [0:11:34]: Right?

Jarbas [0:11:34]: And then we have now the Ai layer, which is go pilot that comes on top of all of that.

Jarbas [0:11:40]: So c copilot is integrate with my organizational data, which means it has access my emails in outlook and messages and teams and files in Sharepoint and my calendar.

Jarbas [0:11:49]: So I have Ai here, like, we've enterprise the protection access my organizational data.

Jarbas [0:11:54]: So e in them as an organization, and I'm making that investment,

David [0:11:58]: Mh

Jarbas [0:11:59]: because it's a easy way to a label organization for my employees Right?

Jarbas [0:12:02]: And it comes with, with value.

Jarbas [0:12:04]: Now I have applications running outside of Microsoft five.

Jarbas [0:12:09]: Maybe you have an internal...

Jarbas [0:12:11]: A news data for your internal employees running outside of the platform.

Jarbas [0:12:14]: Maybe you have your Internet running outside of Microsoft Fifty five, which means then also hear that all of the content, the news stages, maybe even policies that are kind of being handled within that applications, saas applications.

Jarbas [0:12:29]: Now we have or powerful, heavily invested Ai, which is go, not having access that data, and it's we're basically not aligning our objectives then with the organization's objectives in terms of Ai.

Jarbas [0:12:42]: Alright?

Jarbas [0:12:43]: So we have we have an extra cost, and especially when you want Grand label Ai in those saas applications that also comes with an extra cost.

Jarbas [0:12:50]: Usually from from what from the experience I'm having with with clients.

Jarbas [0:12:54]: So I think it's a it's a logical step for organizations to go and try investigate.

Jarbas [0:13:00]: So Camp, can I solve this Internet use Case can I solve the internal use that is use case in Microsoft vista five?

Jarbas [0:13:08]: So and yes, so let's move there because I'm going to save course.

David [0:13:12]: So you're...

David [0:13:12]: So, you know, in in interesting concept then.

David [0:13:15]: So, you know, what what your what you're highlighting here is that the main user interface ends up being copilot and that all systems or data needs to be within the line of sight from copilot.

Jarbas [0:13:28]: I think Copilot is becoming of a tool that people are using more and more in the, in their.

Jarbas [0:13:34]: Today tasks.

Jarbas [0:13:35]: Yeah.

Jarbas [0:13:35]: Yeah.

Jarbas [0:13:36]: And compiled having access to information such my my my content page is where we might have kind about how to page explaining how things work in the context like If for example, the news and so on so If C has access all that information that helps me the india.

Jarbas [0:13:52]: So it helps Cop provide users with better answers.

Jarbas [0:13:56]: So if we...

Jarbas [0:13:57]: Cop does have access that information, we are basically losing losing that context.

Jarbas [0:14:01]: So I think that's that's...

Jarbas [0:14:03]: It doesn't need to be that c copilot becomes kind of the main interface for for work, but

David [0:14:08]: but it must, you know, consume data.

Jarbas [0:14:10]: Yes.

Jarbas [0:14:10]: It needs to have access the data, so we can basically get more out of that.

David [0:14:15]: Yeah.

David [0:14:15]: And, you know, I guess, that idea that if the system that you're creating building, providing to customers has sharepoint is a back end storage that is automatically a given then.

David [0:14:27]: Yeah.

David [0:14:27]: C copilot has...

David [0:14:28]: Access to the to the data.

Jarbas [0:14:30]: So if you're introducing a new knowledge system or content management system.

Jarbas [0:14:34]: So if you're introducing that outside of Microsoft three sixty five.

Jarbas [0:14:38]: So then you are really risk in there, like, Ai not...

Jarbas [0:14:40]: Like, in this case Ko not have access that information.

Jarbas [0:14:43]: Yeah.

Jarbas [0:14:43]: Which is a...

Jarbas [0:14:44]: Unfortunate situation.

Jarbas [0:14:45]: Right?

Jarbas [0:14:45]: And also, like, when it comes to enabling Ai in in additional saas applications.

Jarbas [0:14:50]: The discussions I'm have with clients right now is that, well, I also need to pay there maybe, like, you know, ten dollars pounds spare, use per month.

Jarbas [0:15:00]: And I'm paying, like, thirty dollars per user per month in Copilot.

Jarbas [0:15:03]: So if I have to pay, like, everywhere where I want to have Ai ten, fifteen, thirty dollars per user per month.

Jarbas [0:15:10]: So that becomes, like, you know a very expensive investment.

Jarbas [0:15:13]: And in the end you might just just logically, you know, one is limited in organizations, you you will consolidate that, and you have, like, one central Ai and some subs they can, like an Internet, and so they...

Jarbas [0:15:25]: That can exist within Microsoft If I.

Jarbas [0:15:27]: So I think that's the looking from a from a business strategic point of view, it's a logical step.

Jarbas [0:15:33]: And we we are seeing that in this touch we have.

Jarbas [0:15:35]: So I believe that we find two thousand twenty six.

David [0:15:38]: Yes.

David [0:15:38]: I think it stands the reason for organizations that are proceeding ahead with a...

David [0:15:43]: Copilot as the centerpiece piece of their Ai strategy that that any systems they're buying applications they're building would need to be at least somewhat compliant with copilot that it's...

David [0:15:54]: You know, is data is available.

David [0:15:56]: In chats conversations or there are, you know, agents that could be plugged into the copilot interface.

David [0:16:01]: And, you know, I guess, my again, a along similar lines, my my prediction for twenty twenty six on, you know, this potential that the Internet itself becomes something of a sort of operating layer in an organization.

David [0:16:16]: I think we extend is what we're talking about that, you know, where c copilot is becoming a primary user interface to be able to get information from.

David [0:16:22]: That the Internet becomes one of the things that is feeding that.

David [0:16:25]: And I think the result of that could be that was starting to see a shift in the focus of many Internet vendors, as you say, particularly in the Microsoft three sixty five ecosystem.

David [0:16:34]: So I think consolidation of vendors as we've seen in the last couple of years, but, you know, perhaps an extension to different types of vendors, those that are providing governance tools, content creation there any areas where pain points are being addressed by vendors.

David [0:16:51]: That results in content being better, sharper, managed, governed in a better way because all of those things have a positive impact on the answers that people are getting from c copilot.

Jarbas [0:17:04]: Ten percent.

Jarbas [0:17:04]: So it's a, like, especially aspect of governance.

Jarbas [0:17:06]: And it's a thing we keep repeating.

Jarbas [0:17:10]: I think this will never stopping being important is, like, the quality of your data needs to be high.

Jarbas [0:17:16]: So that the outcomes of c can also be good.

Jarbas [0:17:19]: Yeah.

Jarbas [0:17:19]: So I think it's a constant theme.

Jarbas [0:17:21]: Right?

Jarbas [0:17:21]: And something that you cannot stop, like doing because did...

Jarbas [0:17:24]: You stop, like, taking care of your data governance, like, making sure that your date, like, accurate great, and and and so on.

Jarbas [0:17:30]: That means that your search results, your c copilot outcome will...

Jarbas [0:17:34]: Stop being good.

David [0:17:36]: Yeah.

David [0:17:36]: And, you know, I think the impact here for, you know, all of us is that we're working in a in a changing market and needing to manage and monitor the kind of things that customers understanding of these challenges of these issues building them into products, but not entirely replacing you know, the concept of things like Intra internet as a user interface.

David [0:17:55]: So, you know, a lot for vendors and vendors in the market and people buying solutions in the market to think about and consider as this Ai influence shift continues to have an impact to all of us.

Jarbas [0:18:06]: Continues to having and it doesn't look like it will stop.

Jarbas [0:18:09]: Yeah.

Jarbas [0:18:09]: So it's it's a it's something that came to stay and became part of, a workflow becoming out board.

David [0:18:17]: You know, again, I think, you know, back to that point about employee's attention, reducing, you know, a lot of this kind of shift in the market is being driven by a declining tolerance from employees to go hunting around for information.

David [0:18:28]: Right?

David [0:18:29]: The consumer experience of finding stuff is better than it has ever been, of being able to get answers to pretty complicated questions like that.

David [0:18:36]: Right?

David [0:18:37]: You know, it's not difficult to get this stuff now.

David [0:18:38]: That that, you know, as we know from previous experience that consumer grade, Ui and applications do have an impact on on what they're expecting to see in the workplace.

Jarbas [0:18:48]: Yeah.

Jarbas [0:18:48]: So that they want the same level of of experience from the digital topic like the business application.

David [0:18:55]: Yes.

David [0:18:55]: Yeah.

David [0:18:55]: And the idea of needing to switch between models or applications, you know, certainly becomes a bit frustrating with some of those applications aren't that easy to use.

Jarbas [0:19:04]: It's a good way.

Jarbas [0:19:05]: They can and they kind of carry on with this direction here of, like, having Ai supporting us we've all workflow.

Jarbas [0:19:12]: So...

Jarbas [0:19:12]: And it's a...

Jarbas [0:19:13]: It's kind of going to your...

Jarbas [0:19:14]: I think third prediction about having Ai supporting general communicators, can you explain it a bit more?

David [0:19:22]: Yeah.

David [0:19:22]: So prediction number three, I think for me is, and again, sort of a shared prediction here about the kind of continued impact the Ai and in particular agents, it's gonna have in the in the workplace.

David [0:19:33]: And, you know, I think internal comm...

David [0:19:35]: My kind of lens on this one, is it internal comes becomes, or has the potential to become one of the most Ai augmented roles.

David [0:19:41]: The overlap between what Ai tools are really good at doing, content creation, sum personalization you know, is a key element, certainly, not the only element, but element of an internal communications role.

David [0:19:53]: The overlap there is huge in what they're great at doing and what internal communicators need to do.

David [0:19:58]: I think a simplistic level, it's theoretically possible.

David [0:20:01]: It's wrong.

David [0:20:02]: Right?

David [0:20:03]: But it's theoretical impossible for organizations for some organizations, some people senior leaders to believe that you could, therefore automate internal communications through, you know, stitching together a series of agents.

David [0:20:13]: You know, I think that's a...

David [0:20:15]: It's possible to believe that if you think that creation creation of content is the only thing that that's happening there.

David [0:20:20]: You know, I think what's being missed there is the human judgment, the synthesis, the problem solving, the human relationships and interfacing, You know, all of those things go into kind of crafting narrative message, priority But, you know, I think internal commerce certainly has the potential to be challenged mostly because it's a resource budget poor team often a a a team of one or a, you know, very very small team with a with a small budget.

David [0:20:45]: But also, you, therefore, I think it's a role that could get significant value from Ai.

David [0:20:50]: You know, we were we were talking previously about kind of automating building agents for these kind of things that being able to assess multiple incoming requests.

David [0:20:58]: Building in feedback from employees, adding in sentiment analysis, analytics from Intra internet or other channels that email and being able to kind of balance that against personas that have been created, organizational or objectives, values, you know, using those kind of things to produce something of priority or justification or themes of content.

David [0:21:19]: There is, I think huge power in Ai to support internal communicators.

David [0:21:24]: But also, you know, danger in the role.

Jarbas [0:21:28]: Mh It's a...

Jarbas [0:21:28]: I think a very interesting one as well.

Jarbas [0:21:30]: So...

Jarbas [0:21:30]: Because as you mentioned, right?

Jarbas [0:21:32]: So if maybe there is an ambition for some organizations to try replace.

Jarbas [0:21:37]: People with, let's say Ai.

Jarbas [0:21:39]: Right?

Jarbas [0:21:39]: Now if let's say, the context of internal communication, if that would happen.

Jarbas [0:21:44]: So if we have Ai Ai agents, taking can care of all of this content creation part.

Jarbas [0:21:50]: And as you said, it's much more it's much more context than that, we end up then we've losing employees attention with Ai lob.

Jarbas [0:21:56]: Yes.

Jarbas [0:21:57]: As no.

David [0:21:58]: We're back to problem number one.

Jarbas [0:21:59]: Yeah.

Jarbas [0:21:59]: So I think that's the the risk we end up having here and that's...

Jarbas [0:22:02]: So I think I like to see that the same way as you see Right is Ai augmenting helping people perform their task when you...

Jarbas [0:22:10]: When kind of talking about that.

Jarbas [0:22:12]: So do you see that, like, hear more agents or, like, Ai embedded in applications because when am I talking about sentiment analysis, that's Ai sample, supporting so how how you see that happening.

David [0:22:25]: I think it's likely to be a mixture of both right.

David [0:22:26]: You, I think as as tools and products are getting better and embedding Ai and into more of them, you know, hiding prompts from people, but incorporating Ai integration products in the same way that we've been doing Fresh.

David [0:22:38]: I think those products are improving.

David [0:22:40]: But, you know, equally, I think if you are budget poor, you don't have those kind of products or features in place.

David [0:22:46]: There isn't really anything to stop you from copying and pasting content from excel spreadsheets or from emails that people are sending you or content that people are creating on your behalf pasting that stuff into chat.

David [0:22:58]: Right?

David [0:22:59]: Check your internal policies first, Yes.

David [0:23:03]: Good reminder, caveat like work with the Bbc.

David [0:23:07]: And I think if you're in a in a team of one and you're struggling to get justification for licensing for these tools, You know, I think it's a good career investment thing for yourself.

David [0:23:17]: To pick up the licensing if you can, and explore how these tools can help you in your role, because I don't know a tremendous value to be obtained for a career development perspective from working out, how does this thing become your best friend rather than something that is potentially gonna gonna replace you.

Jarbas [0:23:35]: I think as is, really see it as a colleague.

Jarbas [0:23:39]: Right?

Jarbas [0:23:40]: So if someone you can go and talk to and collaborate and ida.

David [0:23:44]: Yeah.

David [0:23:44]: I'm not sure that I'm comfortable with seeing it as a colleague just yet.

David [0:23:47]: But, you know, I think there is that there's tremendous value to be gained for people that are resource and budget poor from being able to explore what is currently pretty available.

David [0:23:56]: Technology.

David [0:23:57]: Right?

Jarbas [0:23:58]: So it that could be for example as we said, so taking, comments, adding that, like, to to beauty y Pirate, or G, Claude.

Jarbas [0:24:06]: It doesn't.

Jarbas [0:24:06]: So we're not promoting here it just a to

David [0:24:09]: Other Ai available.

Jarbas [0:24:11]: Take the one of your choice, Yeah.

Jarbas [0:24:12]: And I have maybe you're prompt and validate for in that sentiment.

Jarbas [0:24:15]: So, like, those are kind of practical use case that people can they can go and try.

David [0:24:20]: And look, you know, I think once you've done some exploration for this thing, and it becomes a point of maturity that...

David [0:24:24]: As you become more familiar with the tool product the platform, they all have the ability to build some sort of agent wrapper around this stuff now.

David [0:24:31]: Right?

David [0:24:32]: And they're not difficult to create once you've got a good understanding of how it works.

David [0:24:35]: And then, you know, before too long rather than repeatedly creating the same prompts over and over again, you're wrapping up some context in an agent and getting that to do some stuff for you.

David [0:24:44]: And I think there's a, you know, there's a nice kind of maturity pathway there of, you know, you're going from experimenting with Ai to building agents that are doing specific task for you.

Jarbas [0:24:54]: Right?

Jarbas [0:24:54]: So...

Jarbas [0:24:55]: And that we are exactly like in my in my third prediction, which is...

Jarbas [0:24:58]: I think we are going to see an increase in and people are using more Ai agents.

Jarbas [0:25:03]: And then here, I think also autonomous agents So what, first of all, I an Ai agent is basically a pre constructed Ai.

Jarbas [0:25:11]: So as you said, so you know I have, like, when use my this prompts over and over and again, and now I have kind of collected this prompts and save that in a Ai agent that's kind of now...

Jarbas [0:25:21]: Print instructed to behave the way I want when performing a task.

Jarbas [0:25:25]: So if we think of internal communications and let's say, I could have, like, a a pilot agent for news creation and that creation agent is constructed with the way how I want to have my titles that say using sentence gazing, or it contains the values of my company because I want that reflected in my content, or it has like, instructions for not using Ge, like, being before because, that doesn't translate well when we have kind of a a multilingual ling Internet.

Jarbas [0:25:57]: And I can add, like, all of these details, like, in in a in a long description and then always when I go and Interact with this agent to create a new post.

Jarbas [0:26:06]: It will always consider respect those guide rails that They I have provided.

Jarbas [0:26:11]: So this that's an Ai agent.

Jarbas [0:26:13]: And I think, like, as as you said, right?

Jarbas [0:26:15]: So because people maybe are, kind of doing the experiments.

Jarbas [0:26:19]: They understand, like, what are they tasks that they can automate I have like, Ai support me or kind of getting out of the first version.

Jarbas [0:26:25]: So that's what I believe we're going to have more and more happening across the different rules, including internal of communication.

David [0:26:32]: Yeah.

David [0:26:32]: Agreed.

Jarbas [0:26:33]: So the...

Jarbas [0:26:33]: Yeah, the second part is an autonomous agents So what does that mean is, like, when when we have an Ai agent that agent is helping us perform the task.

Jarbas [0:26:42]: And the autonomous agent will perform task for us.

Jarbas [0:26:45]: So, it's like running autonomously without meeting oversight, So I can basically trigger that agent, based instructions, and it will go and perform the task.

Jarbas [0:26:57]: We have that kind of happening in development right now.

Jarbas [0:27:01]: We we do that our a team.

Jarbas [0:27:02]: Basically, like, a a concrete example is Ai agent.

Jarbas [0:27:06]: So fixing a defective bug in an application.

Jarbas [0:27:10]: Right?

Jarbas [0:27:10]: So it goes.

Jarbas [0:27:11]: It takes kind of that task.

Jarbas [0:27:12]: Forms it, and basically goes and and gives your notification.

Jarbas [0:27:16]: And, hey, I'm done, go and check it, So it did it becomes kind of a colleague or, like, a colleague is, like, going forward, like, very, very far, but really, like, a a real assistant helping you here.

Jarbas [0:27:28]: And that yeah be used, like, to automate, like, download information from one place upload another place or maintain at least.

Jarbas [0:27:35]: So those are kind of ways how it can have then those stage agents supporting my tasks.

David [0:27:40]: And, you know, it could be things like, you know, as you're finishing up for the day that you, you know, issue a an instruction of archive off at all pages in the Internet that haven't been viewed in the last, you know, hundred and forty days or, you know, whatever, whatever the threshold.

David [0:27:54]: And your agent is gonna go and find those pages and then hand off to the other agent that's responsible for actually doing the archiving.

David [0:28:00]: Because their other agent has got some instructions about how to archive, where to archive, where to tag them with and there's some, you know, specific governance in that.

David [0:28:08]: So, you know, this idea that it's not just an agent with a single set of instructions.

David [0:28:11]: It is an agent that is communicating with other agents that also have an embedded set of instructions that might be doing more than sum polarization or content creation that they're actually making changes in systems.

Jarbas [0:28:24]: That's where it gets kind of really...

Jarbas [0:28:25]: I mean, And am mind blowing because Well, you know, you have agents that can communicate with other agents and together they can accomplish complete, like, really, very complex tasks.

Jarbas [0:28:37]: And not like if we are going to have that, like, write in thousand fifty six.

Jarbas [0:28:41]: But, So the the easier organizations organization, like Microsoft make it, like, for people like to create these agents.

Jarbas [0:28:47]: Yeah.

Jarbas [0:28:48]: The more people will try and the model they will also do with that.

Jarbas [0:28:51]: Yeah.

Jarbas [0:28:51]: On on this on this point, like, I think if Microsoft would simplify the way how...

Jarbas [0:28:56]: Who create autonomous agents in, c pilot.

Jarbas [0:29:00]: So they they would kind of and enable will people, like to really achieve and and try, like, more...

Jarbas [0:29:05]: So, like, more complex complex tasks, which...

Jarbas [0:29:07]: Right now, like, if you think of chat, so you can you can have this agent mode, for have, like, challenge plus license, you you can use an agent mode, which will basically go and based on your instructions click on the browser things and and, like, do research or test applications.

Jarbas [0:29:24]: So you can, like, as a as an end user can do that right now.

Jarbas [0:29:27]: Yeah.

Jarbas [0:29:28]: Microsoft is currently...

Jarbas [0:29:29]: I would say, like, hiding that, like, having that solution behind tool, which would require movement of It in in an organization.

Jarbas [0:29:38]: So if...

Jarbas [0:29:39]: Yeah.

Jarbas [0:29:39]: That would be enabled, like, for the users in the organization as well maybe some users, it would signify the adoption of this capability that's very powerful.

David [0:29:48]: Yeah.

David [0:29:48]: You can certainly see the the direction of travel.

David [0:29:50]: This is this is

Jarbas [0:29:52]: I Yes.

Jarbas [0:29:52]: Exactly.

David [0:29:54]: Alright.

David [0:29:54]: Too in summary of our three very similar predictions for twenty twenty six, increase in Ai s impacting employee attention in the workplace.

David [0:30:06]: Very good.

David [0:30:06]: Consolidation of Internet applications, the high potential for internet to become a sort of operating layer in organizations influenced by this kind of Ai changing the market that we're all operating and buying solutions in.

David [0:30:21]: And a significant increase in the amount of automation that is going on.

David [0:30:26]: Maybe in specific roles may be more generally for people getting work done using agents.

Jarbas [0:30:32]: So the common Theme Ai.

Jarbas [0:30:33]: Ai everywhere.

Jarbas [0:30:34]: No surprise.

Jarbas [0:30:35]: No surprise.

Jarbas [0:30:36]: The market is going all in this direction.

Jarbas [0:30:38]: It's hard like not to talk and experience that in your life In your world.

Jarbas [0:30:43]: Yep.

Jarbas [0:30:44]: Cool David.

David [0:30:45]: Alright.

David [0:30:45]: Good to chat today, Y as always.

David [0:30:47]: We'll see you soon.

Jarbas [0:30:49]: Thank you.

Jarbas [0:30:49]: Thanks everyone.