And through the lending business, we were able to expand on our financial assets. So, as such, the company has been putting in efforts to diversify the revenue source. And also through branded BC Cards, we are able to drive transaction volume increase coming from B2C customers and also on the B2B segment as well by extending merchant loans and corporate loans, we are able to further broaden our basis for growth. So, our plan is to, through BC Card, be able to strike a very good balance between the existing business as well as new business forays so that we can continue to grow the revenue as well as profit contribution. Now, moving on to KT Estate, it’s in the business of hotels, offices, rental, housings. And out of this business, there was a revenue stream coming in from apartment sales project that was ongoing at the [Gwangju] (ph) city.
Also this year, with the end of the COVID pandemic, we have seen a rebound in recovery in domestic as well as overseas travels and more leisure activities, which is leading to more spending. We now see our hotel business, a really uptrend in a steep manner, and that has also made profit contribution. Then you asked a question about what would be the normal level of profit contribution from our group subsidiaries. Yes, for last year, it was around KRW500 billion in size. For this year, we’re projecting quite similar to that of previous year, quite flat or a little more. And now responding to your AI question. So, recently, we’ve seen heightened interest on hyperscale artificial intelligence and KT also was no exception in making preparations for laying out an AI ecosystem starting 2020.
And we’ve been making preparations to commercialize our hyperscale AI dubbed Mi:dm. So, what we are doing within KT is different divisions, namely AI DX, conversions business unit and advanced institute for conversion technology and kt cloud, they’re all strengthening their collaboration so that we can actually scale up the KT’s hyperscale AI that is supported by GPU-based AI cloud infrastructure. The hyperscale AI that KT is envisioning is an AI that thinks about the customer that understands the emotions, remembers and empathizes and expresses. That is the AI that is envisioned by KT. And also, we are seeking to develop a language model that can be customized so that customer-specific and personalized services can be provided in the B2B domain.
The hyperscale AI business that KT is seeking to achieve has three major business models involved. Now, the first one is, and you also asked about a specific business that is currently generating revenue. The first business model is bringing AI and adopting that into our cloud business. And that one of the key representative example is AI contact center, AICC. Now, for AICC, there are three different customer segments that we actually target: one is for large customers, in which case, we will provide system infrastructure; for midsized customers, it will be cloud-based AICC, and we call that [indiscernible] Cloud; and also for smaller businesses we will be providing AI integrated secretary or — AI assistant, excuse me, service. So, for AICC revenue, our objective is to achieve more than KRW100 billion by the end of the year.
And eventually, by year 2025, we’re envisioning to obtain about KRW300 billion so that — by becoming a community platform business provider for B2B and B2C as well. Second revenue model that we are currently thinking about is to open up the API so that our customers can make use of the hyperscale AI platform, the Mi:dm platform, and pay for the usage of that platform. So that is the second revenue model that we’re thinking of. Last but not least is to bring about AI capabilities that KT has to KT and KT subsidiary products and services, so that we further strengthen the competitiveness of our B2C product.
Seung-Hoon Chi: [Foreign Language] [Interpreted] Are there any questions?
