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if you look at the headline numbers. but actually when you look at the actual results and also what companies are telling, there are two factors that matter to us, monetisation and capital expense. they look at monetisation, for example, across the board, we are seeing cloud revenue and contribution is almost like 5% for some of the companies out there. so that gives us comfort. in terms of graphics, clearly companies are spending on it, but in terms of compute, this is one area where they have been quite bullish recently. long story short, despite the future suggesting, we think the bull case for and i we still think is intact. we think that any excess correction in as a buying opportunity. what is the implication buying opportunity. what is the implication of buying opportunity. what is the implication of these buying opportunity. what is the implication of these big - buying opportunity. what is the implication of these big tech i implication of these big tech ....
getting these comments by the federal chair. federal chair. based on the meetin: federal chair. based on the meeting today, federal chair. based on the meeting today, i federal chair. based on the meeting today, i would - federal chair. based on thei meeting today, i would tell federal chair. based on the - meeting today, i would tell you that i don t think it s likely that i don t think it s likely that the committee will reach a level of confidence by the time of the march meeting to identify march as the time to do that. but that is to be seen stop at mr powell s words disappointed us on wall street who believed that the first cut would potentially happen in march. this is after policymakers back in december hinted at rate cuts in 202a. however, mr powell said officials wanted greater confidence that inflation was falling back to its 2% goal first. with prices coming down but still high and with the economy doing well, david ross let believes that this is the ri ....
on the technology. so, is all that investment starting to pay off? i spoke to ubs tech equity strategist sundeep gantori a little earlier. if you look at the headline numbers, it suggests that results are mixed. but actually when you look at the actual results and also what companies are telling, there are two factors that matter to us, a, monetisation and b, capital expense. they look at monetisation, for example, across the board, we are seeing revenue and contribution is almost like 5% for some of the companies out there. so that gives us comfort. in terms of graphics, clearly companies are spending on it, but in terms of compute, this is one area where they have been quite bullish recently. long story short, despite the future suggesting, we think the bull case for al, we still think is intact. we think that any excess correction is a buying opportunity. what is the implication of these big tech companies pushing more to monetise their investment into ai? what are ....
if you look at the headline numbers. is suggest that results are mixed. but actually when you look at the actual results and also what companies are telling, there are two factors that matter to us, monetisation and capital expense. they look at monetisation, for example, across the board, we are seeing cloud revenue and contribution is almost like 5% for some of the companies out there. so that gives us comfort. in terms of graphics, clearly companies are spending on it, but in terms of compute, this is one area where they have been quite bullish recently. long story short, despite the future suggesting, we think the bull case for al is still think is intact. we think that any excess correction is a buying opportunity. what is the implication of these big tech companies pushing more to monetise their investment into ai? what are the implications for us as consumers? i think at the end of the day, we think that given how intensive it is, we believe that it is getting bi ....
if you look at the headline numbers. it suggests that results are mixed. but actually when you look at the actual results and also what companies are telling, there are two factors that matter to us, monetisation and capital expense. they look at monetisation, for example, across the board, we are seeing revenue and contribution is almost like 5% for some of the companies out there. so that gives us comfort. in terms of graphics, clearly companies are spending on it, but in terms of compute, this is one area where they have been quite bullish recently. long story short, despite the future suggesting, we think the bull case for al is still think is intact. we think that any excess correction is a buying opportunity. what is the implication of these big tech companies pushing more to monetise their investment into ai? what are the implications for us as consumers? i think at the end of the day, we think that given how intensive it is, we believe that it is getting bigger, ....