Last week was a momentous one as the AI race collectively curved along a new road.
Both Google and Microsoft belatedly followed in Zoomâs footsteps by bundling versions of their AI services into their commercial subscriptions at no extra cost.
Microsoft launched its 365 Copilot Chat solution, which adds pay-as-you-go AI agents to the existing chat experience for Microsoft 365 customers. This solution is separate from the still-existing Microsoft 365 Copilot, which remains $30 per user per month. Meanwhile, Google is making AI free for all Workspace subscribers while hiking the solutionâs subscription price from $12 to $14 per user per month.
On paper, while it will likely see short-term revenue drops from no longer tying AI to separate add-ons, this democratisation of AI for tech giant customers should boost user adoption as well as improve the value proposition of their core subscriptions.
âI think itâs a very competitive market,â said Irwin Lazar, Principal Analyst at Metrigy, told UC Today during its latest Big News Show. âMicrosoftâs strategy in the collaboration space certainly has a dominant position in charge. They charge for Teams Premium, and they charge for Copilot. The vendors that are trying to challenge Microsoft in this space are looking for ways to gain market share and provide an alternative.â
âSo with Google, theyâre bringing Gemini for Workplace to the masses for free, but with a $2 a month increase in monthly license cost. That would be the equivalent of Microsoft saying, âHey, weâre gonna give you Copilot and maybe increase the price.â So I think theyâre trying to win market share. Theyâre trying to provide an incentive for organisations to say, âYou know what? Maybe there is an alternative to Microsoft out there.â
Lazar stressed that Google and Microsoft are following Zoomâs lead, despite many people believing the inverse might have ended up being true. After Zoom announced AI Companion at no extra cost for Workplace subscribers, many believed it would be unsustainable and that the business would follow in Microsoftâs and Googleâs steps in making AI a paid add-on.
âHere we are two years in, and Zoomâs revenues continue to grow,â Lazar said. âThey continue to gain market share, and they havenât suffered from having to eat that cost of processing those AI requests.â
âI think the Microsoft announcement is a little bit different with the introduction now of Microsoft 365 Copilot Chat as a free service with the additional agentic AI capabilities on a metred basis,â Lazar continued.
âI think theyâre going after those use cases where theyâre competing with a ChatGPT, OpenAI Gemini or other Meta and Grok, etc, the ones that are out there where theyâre looking at âHow do we get people to use Copilot Chat as their company-wide AI virtual assistant versus ones that are built specifically into collaboration applications.'â
âBut again, I think also a lot of this is being driven by that competitive desire to grow market share as quickly as possible. I think on the Google side, it provides an alternative to Microsoft.â
Is âFreemiumâ A Solid Strategy?
Zeus Kerravala, Founder and Principal Analyst at ZK Research, asserted that the freemium model has a clear strategy: âGet them using the product. Then, bring in the control features, the enterprise features later, and some kind of enterprise-wide subscription.â
âI do wonder, though, if that will work in this arena where the models change so quickly,â Kerravala added. âI suppose for the ones weâre talking about, like with Zoom, itâs built into the app. With Google Workspace, itâs built into the app. But then thereâs all the other ones, Cohere, OpenAI and things like that, where leadership tends to ebb and flow pretty quickly.â
Kerravala noted his belief that that strategy can work within the context of a UC app, but he isnât sure about the logistics of the various models being plugged into different applications. âI think youâll see them intermixed,â he said. âSo weâll see if freemium works. Itâll work to some degree somewhere. But how much that works, weâll see, I suppose.â
Lazar highlighted a key difference with AI in that when we talk about governance, âfreeâ isnât necessarily free.
âSo I still have to deal with things like how to configure it,â Lazar said. âHow do I control access and ensure data privacy and data protection for data that is now living in that AI?â
âThen the other part that we see is companies really have to invest in training. They have to teach people how to write prompts. They have to set expectations. They have to educate them as those models change. Thatâs still a limiting factor. The freemium model works a little bit differently in the Gen AI space.â
Kerravala astutely caveated that education and training might not necessarily be a major issue in the long-term, however: âIt seems like the natural language processing capability is getting much better. So, you donât have to be quite precise with your prompting anymore. I wonder if weâll eventually reach a point where itâs so good at knowing who we are and what our preferences are that you can just ask a natural question, and itâs going to know.â
Are Outcome And Consumption-Based Models The Future?
âThere were two things I think about hearing how you share this,â said Craig Durr, Principal Analyst at The Collab Collective. âThe first thing is I still contend Microsoft has one of the most confusing branding naming models around its AI, whatâs free, and whatâs included across the portfolio. Theyâve acknowledged that itâs a problem they plan on solving in 2025. Then they dropped this, which is a three-name, Microsoft 365 Chat Copilot. I canât even get it straight sometimes. I donât think theyâre solving their branding naming issue.â
âBut the other thing I would share, too, is if this is just the beginning of a freemium model thatâs leading them to have more consumption-based purchases and even outcome-based purchases,â Durr suggested.
âSo if you look to like enterprise applications out there in the world, Adobe is doing its credit-based thing for when you generate images, and you consume credits, and itâs as you use it. Zendesk, actually, for its AI agent, is experimenting with an outcome-based idea as well.â
âNow, itâs a little tricky how their pricing model is, but I guess my point is this: itâs the candy store. These are the free AI activities you get upfront with Microsoft and Google. I suspect theyâre tying into these consumption-based models on the backend or something as well to continue to support their revenue streams.â
Kerravala affirmed Durrâs analysis around the the ambiguity that still exists over suitable pricing, noting that Aaron Levie, CEO of Box, posed that question on Twitter a little while ago. What is the pricing model going to be?
âActually, at Ciscoâs AI Summit yesterday, he was asked about that,â Kerravala said. âHe said he didnât know because you could go with an outcome-based model, right? You could go with a consumption model, right? You could go purely utilisation. There are so many different options.â
âYou could charge with this and thereâs no real industry way to do it. Even within our own space of UC and CC, weâve asked the vendors in every meeting we go to how they are gonna price this stuff. They throw out some possibilities, but nobody has really nailed how this is going to be.â
Melody Brue, Vice President & Principal & Principal Analyst, Moor Insights & Strategy, emphasised the importance of not describing this model as âfreeâ: âMicrosoft is actually a consumption-based model, but when people donât have it, they are going to bring their own AI, and Microsoft actually pointed out in their Work Trend Index that people are bringing their own AI for it.â
âSo for companies, say somebody says theyâre not a power user and they donât want to do the full Copilot 365, the $30 per month per user, giving them this option is a much safer and cheaper option for them to give the kind of light user this option than it is for them to bring their own AI to work,â Brue expanded.
Brue suggested that while there might be some expense on the IT side for organisations to implement it and train staff, they save themselves a âwhole lot of headaches on the bring your own side of it by giving people access to models that they know are safe and can controlâ.
Addressing The Critical Pain Points
Brue also emphasised that potentially the two most critical talking points around Gen AI in the workplace are cost and adoption. âBoth Google and Microsoft are addressing those things by saying, âOkay, here are some options for you,'â Brue said. âBecause if people arenât going to use it, thereâs just no justifying it. And if theyâre not going to use it, theyâre going to fall behind.â
âSo theyâre saying to their customers, âGet it in the hands of your people. Recognise the value of it. Weâre going to give it to you in some capacity. Weâre going to give it to you in the way that you want to consume it, whether itâs subscription, consumption, not free, or included in your subscription. Weâre going to let you consume it the way you want to consume it because we need you to use it to recognise the value.'â
If companies donât recognise the value, theyâre going to walk away from it. âThen also, you, as a company, may fall behind, and you may not exist, and youâre not going to be our customer three years from now because youâre going to get eaten up by the competitor,â Brue elaborated.
âSo I think this is a really smart move, and like Zeus said, nobody knows how theyâre going to price things. Weâre going to see this evolve. So I think flexibility is really key. I think thatâs what theyâre doing here may be sort of a stopgap, but itâs flexibility, and thatâs smart.â
Durr highlighted Zoomâs role in this in the meantime, where it has âquietly and subtlyâ continued to add AI features: âThey continue to enhance where AI is touching throughout their work suite. The thought I have around them is theyâre continuing to make this just integrated into the fabric of the experience. So if they ever do go to a consumption-based model, itâs gonna be very confusing, first of all, where to pull it out.â
âSo I think theyâre really pursuing this model of holistically embracing the cost within the main license as opposed to going to consumption base or outcome base.â
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