1 00:00:00,240 --> 00:00:08,240 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,800 --> 00:00:12,799 Speaker 2: This week in Las Vegas, a group of elite players 3 00:00:12,960 --> 00:00:16,960 Speaker 2: faced off to compete for a coveted world Championship title. 4 00:00:17,760 --> 00:00:21,440 Speaker 3: Everyone seems to know the score. 5 00:00:22,200 --> 00:00:24,759 Speaker 1: It really does feel like you're, you know, at Madison 6 00:00:24,760 --> 00:00:27,320 Speaker 1: Square Garden watching the nick starting five run out. 7 00:00:27,400 --> 00:00:29,680 Speaker 3: What I've seen Andrew Dewey. 8 00:00:30,960 --> 00:00:33,279 Speaker 1: With a little bit less excitement. 9 00:00:33,360 --> 00:00:37,159 Speaker 2: Maybe the competitors enter the arena through a tunnel pro 10 00:00:37,320 --> 00:00:38,040 Speaker 2: sports style. 11 00:00:38,200 --> 00:00:43,560 Speaker 1: Everybody runs out to cheers, you know, befitting their celebrity 12 00:00:43,600 --> 00:00:47,199 Speaker 1: and skill. In the world of spreadsheets, it's the sounds 13 00:00:47,760 --> 00:00:49,840 Speaker 1: World Championship. 14 00:00:50,320 --> 00:00:55,960 Speaker 2: Who is going away? Yep, that's right, We're talking about 15 00:00:56,000 --> 00:01:02,040 Speaker 2: the World Championship of Microsoft XL. Dina Bass, who's covered 16 00:01:02,040 --> 00:01:06,000 Speaker 2: Microsoft for decades and now writes about AI, says since 17 00:01:06,040 --> 00:01:10,720 Speaker 2: the first competition in twenty twelve, Microsoft excelling has become 18 00:01:10,920 --> 00:01:13,720 Speaker 2: something of a serious esport. All right, audience, we're gonna 19 00:01:13,720 --> 00:01:15,280 Speaker 2: need your help. We're gonna count it down, We're gonna 20 00:01:15,280 --> 00:01:17,920 Speaker 2: start it five, let's go. Fuck it even has commentators. 21 00:01:18,520 --> 00:01:23,640 Speaker 1: Three two. What have you ever seen like video game 22 00:01:23,720 --> 00:01:26,480 Speaker 1: speed running where people try to finish like a Mario 23 00:01:26,600 --> 00:01:29,399 Speaker 1: game as quickly as possible. That also has that like 24 00:01:29,520 --> 00:01:33,200 Speaker 1: fla by play commentary, because otherwise, like normal people wouldn't 25 00:01:33,240 --> 00:01:36,480 Speaker 1: understand what's going on. They sort of give them something 26 00:01:36,520 --> 00:01:38,920 Speaker 1: to solve, and you're watching it, but it moves so 27 00:01:39,000 --> 00:01:41,600 Speaker 1: quickly you kind of don't know what you're watching. 28 00:01:41,240 --> 00:01:42,440 Speaker 2: The right side of the screen as well. 29 00:01:42,440 --> 00:01:44,520 Speaker 1: If you're wondering what's flashing on the right side, there 30 00:01:44,920 --> 00:01:46,680 Speaker 1: those are his keys and his shortcuts. 31 00:01:47,160 --> 00:01:50,280 Speaker 2: So obviously at this level, what you're watching these pro 32 00:01:50,480 --> 00:01:54,400 Speaker 2: spreadsheeters do isn't too different from what millions of office 33 00:01:54,400 --> 00:01:57,720 Speaker 2: workers around the country do every day, sit at a 34 00:01:57,760 --> 00:01:59,960 Speaker 2: computer and put numbers into selling. 35 00:02:00,640 --> 00:02:04,200 Speaker 3: The genesis of this competition was financial modeling. 36 00:02:04,600 --> 00:02:07,880 Speaker 2: That's Max Chafkin, who writes for BusinessWeek and co hosts 37 00:02:07,920 --> 00:02:10,480 Speaker 2: the magazine's podcast Everybody's Business. 38 00:02:10,880 --> 00:02:12,720 Speaker 3: So it used to be a competition to see who 39 00:02:12,760 --> 00:02:14,959 Speaker 3: is the best at financial modeling, which is of course 40 00:02:15,000 --> 00:02:18,640 Speaker 3: how most people use Microsoft Excel, and they changed it 41 00:02:18,720 --> 00:02:20,839 Speaker 3: a couple of years back to make it more accessible. 42 00:02:21,120 --> 00:02:24,639 Speaker 3: So now what they model our games. But at the 43 00:02:24,720 --> 00:02:28,359 Speaker 3: end of the day, viewers are like looking at a spreadsheet, 44 00:02:28,400 --> 00:02:30,800 Speaker 3: like a normal Excel spreadsheet with and there's like a 45 00:02:30,840 --> 00:02:34,320 Speaker 3: little little mini screen inside like an inset screen, like 46 00:02:34,360 --> 00:02:36,800 Speaker 3: on a video game where you see the athlete you know, 47 00:02:36,919 --> 00:02:40,840 Speaker 3: clicking the mouse and like and manipulating the you know, 48 00:02:40,880 --> 00:02:41,560 Speaker 3: the cells. 49 00:02:41,960 --> 00:02:46,200 Speaker 2: It's not exactly an NBA game, but watch an Excel 50 00:02:46,240 --> 00:02:49,840 Speaker 2: wizard input functions at warp speed and your pulse might 51 00:02:49,880 --> 00:02:53,239 Speaker 2: start racing, which is not the kind of emotion people 52 00:02:53,520 --> 00:02:58,800 Speaker 2: usually associate with Excel. Somehow, despite its association with badly 53 00:02:58,840 --> 00:03:03,120 Speaker 2: lit offices and boring capitalist gruntwork, Excel has become one 54 00:03:03,120 --> 00:03:06,960 Speaker 2: of the most influential computer programs in the world, and 55 00:03:07,000 --> 00:03:09,520 Speaker 2: not just in the world of esports. 56 00:03:10,200 --> 00:03:13,840 Speaker 3: Excel is like the most I think it's like probably 57 00:03:13,880 --> 00:03:17,560 Speaker 3: the most important piece of software that has ever been created. 58 00:03:18,360 --> 00:03:22,840 Speaker 3: Basically like it runs almost every single business, it runs, 59 00:03:22,880 --> 00:03:27,400 Speaker 3: every single nonprofit. It runs like any big organization you 60 00:03:27,440 --> 00:03:31,240 Speaker 3: can think about is in some sense operating on Microsoft 61 00:03:31,280 --> 00:03:37,200 Speaker 3: Excel because it's the dominant spreadshet platform. 62 00:03:37,480 --> 00:03:39,960 Speaker 2: I'm Sarah Holder and this is the big take from 63 00:03:39,960 --> 00:03:44,240 Speaker 2: Bloomberg News Today on the show, Microsoft Excel is now 64 00:03:44,320 --> 00:03:48,200 Speaker 2: forty years old in an age of AI and Google Sheets, 65 00:03:48,600 --> 00:03:56,400 Speaker 2: Can it last another forty? For many people? Microsoft Excel's 66 00:03:56,480 --> 00:04:00,160 Speaker 2: classic green and white grid and it's seemingly infinite scroll 67 00:04:00,200 --> 00:04:03,840 Speaker 2: of columns and rows bring up strong feelings. 68 00:04:04,920 --> 00:04:08,240 Speaker 3: How do you feel about microsophic self? I love using it. 69 00:04:08,400 --> 00:04:11,440 Speaker 2: This is something our producer David Fox discovered walking around 70 00:04:11,480 --> 00:04:14,080 Speaker 2: New York City's Bryant Park during a lunch break. 71 00:04:14,240 --> 00:04:18,000 Speaker 3: Do you have a favorite XL formula or function? 72 00:04:18,400 --> 00:04:20,440 Speaker 2: Oh, my gosh, I mean it's really basic, but I 73 00:04:20,480 --> 00:04:23,960 Speaker 2: love account IF or account A X look up HTA 74 00:04:24,200 --> 00:04:24,800 Speaker 2: is a good one. 75 00:04:24,960 --> 00:04:26,800 Speaker 3: I use a lot of advance statements and like being 76 00:04:26,880 --> 00:04:29,120 Speaker 3: able to like coffy things, you know, when you just 77 00:04:29,240 --> 00:04:31,719 Speaker 3: drag the cursor down. I mean, if you're really a pro, 78 00:04:32,040 --> 00:04:34,440 Speaker 3: you don't use the mouse, but I will use the 79 00:04:34,480 --> 00:04:36,520 Speaker 3: mouse just for efficiency. 80 00:04:36,880 --> 00:04:40,320 Speaker 2: Bloomberg's Dina Bass and Max Chafkin say those kinds of 81 00:04:40,360 --> 00:04:41,960 Speaker 2: reactions are pretty typical. 82 00:04:42,120 --> 00:04:48,520 Speaker 1: Excel just symbolizes drudgery, right. It's every workplace movie stereotype. 83 00:04:49,360 --> 00:04:53,040 Speaker 1: You know, it's the office in Slough, it's office space 84 00:04:53,080 --> 00:04:57,800 Speaker 1: in your Nine Bosses. The user interface is dull. It 85 00:04:57,839 --> 00:04:59,520 Speaker 1: hasn't really changed much. 86 00:05:00,160 --> 00:05:02,560 Speaker 3: Also, and this was suggested to me by Mitch kap Or, 87 00:05:02,880 --> 00:05:07,599 Speaker 3: who's a spreadsheet pioneer. But it's also an embodiment of 88 00:05:07,640 --> 00:05:11,320 Speaker 3: the things that we hate most about capitalism, right, Like 89 00:05:11,640 --> 00:05:16,120 Speaker 3: Excel is about cutting costs, it's about optimizing if you 90 00:05:16,120 --> 00:05:20,279 Speaker 3: get laid off, like guaranteed you were laid off because 91 00:05:20,279 --> 00:05:22,640 Speaker 3: of a cell on an Excel spreadsheet. And I think 92 00:05:22,640 --> 00:05:26,080 Speaker 3: we all like kind of understand that it's like the 93 00:05:26,240 --> 00:05:29,240 Speaker 3: one fun parts of capitalism. 94 00:05:28,880 --> 00:05:31,679 Speaker 2: Right, Like we're all just numbers in an Excel file 95 00:05:31,800 --> 00:05:32,480 Speaker 2: exactly day. 96 00:05:32,720 --> 00:05:36,040 Speaker 3: I mean, I think for many people, including many power users, 97 00:05:36,279 --> 00:05:39,679 Speaker 3: it's like it is like a thing that they hate 98 00:05:40,040 --> 00:05:43,440 Speaker 3: and a thing that they also appreciate, the thing for 99 00:05:43,520 --> 00:05:46,719 Speaker 3: me that kind of epitomize this. There's a very active 100 00:05:46,720 --> 00:05:50,240 Speaker 3: community on Reddit for Excel. The most popular post of 101 00:05:50,279 --> 00:05:55,000 Speaker 3: all time is somebody explaining how to watch Wall E 102 00:05:55,480 --> 00:05:59,560 Speaker 3: inside of Microsoft Excel in order to trick their companies 103 00:06:00,200 --> 00:06:04,200 Speaker 3: workplace software into thinking that they're using Excel when they're 104 00:06:04,240 --> 00:06:05,080 Speaker 3: in fact watching a movie. 105 00:06:05,120 --> 00:06:06,680 Speaker 2: So they're on Excel for like an hour and forty 106 00:06:06,680 --> 00:06:08,360 Speaker 2: five minutes, but they're just I love. 107 00:06:08,240 --> 00:06:11,520 Speaker 3: It because it totally epitomizes. First of all, this software 108 00:06:11,560 --> 00:06:15,159 Speaker 3: is insanely powerful, like you can add up numbers, but 109 00:06:15,240 --> 00:06:18,880 Speaker 3: you can also run full on programs, and yet like 110 00:06:19,080 --> 00:06:22,480 Speaker 3: with all of that power, what you're doing is getting 111 00:06:22,480 --> 00:06:24,560 Speaker 3: around the fact that you have to use the software 112 00:06:24,600 --> 00:06:25,279 Speaker 3: in the first place. 113 00:06:25,800 --> 00:06:29,000 Speaker 2: There are something like five hundred million paying Excel users 114 00:06:29,040 --> 00:06:32,240 Speaker 2: out there, according to Max and Dena's calculations based on 115 00:06:32,320 --> 00:06:37,640 Speaker 2: Microsoft's public disclosures. Those users range from Excel social media 116 00:06:37,680 --> 00:06:42,800 Speaker 2: influencers to employees at the US Department of War Finance, guys, 117 00:06:43,120 --> 00:06:46,440 Speaker 2: college students, and people like Steve Balmer. 118 00:06:46,760 --> 00:06:49,120 Speaker 3: Most people think it's pretty weird. I keep a spreadsheet 119 00:06:49,160 --> 00:06:52,040 Speaker 3: of how I spend my hours. When we interviewed Steve Balmer, 120 00:06:52,200 --> 00:06:54,839 Speaker 3: he was like, oh yeah, I mean, like, I'm not 121 00:06:54,920 --> 00:06:57,320 Speaker 3: really an Excel guy. And then he showed us all these, 122 00:06:57,400 --> 00:06:59,839 Speaker 3: like all the insane ways that he was using it. 123 00:07:00,240 --> 00:07:03,600 Speaker 2: Steve Balmer headed Microsoft sales in the eighties and went 124 00:07:03,640 --> 00:07:07,080 Speaker 2: on to become the company's CEO. He now owns the 125 00:07:07,120 --> 00:07:08,240 Speaker 2: Los Angeles Clippers. 126 00:07:08,600 --> 00:07:11,840 Speaker 3: Okay, can you guys see that? Oh my god. 127 00:07:12,920 --> 00:07:16,120 Speaker 2: He showed Max and Dina the Excel spreadsheet he uses 128 00:07:16,200 --> 00:07:17,760 Speaker 2: to organize his life. 129 00:07:18,040 --> 00:07:20,400 Speaker 3: So this is kind of my spreadsheet. 130 00:07:20,440 --> 00:07:24,680 Speaker 2: Twenty five budget, twenty twenty five actual year to date? 131 00:07:25,200 --> 00:07:28,680 Speaker 1: How many nights in my way from home? What nights 132 00:07:28,760 --> 00:07:32,000 Speaker 1: were they? I've known Steve Balmer for more than two decades. 133 00:07:32,320 --> 00:07:36,440 Speaker 1: His entire brain is just a series of endless spreadsheets. 134 00:07:36,440 --> 00:07:37,560 Speaker 1: That's the way he thinks. 135 00:07:37,880 --> 00:07:40,160 Speaker 3: I of course asked him, like, where's the bathroom time go? 136 00:07:40,280 --> 00:07:41,600 Speaker 3: He's like, Oh, that's personal time. 137 00:07:42,320 --> 00:07:45,960 Speaker 2: Everything nine to five I keep track of and anything 138 00:07:46,080 --> 00:07:51,960 Speaker 2: clippers at night. Extreme as it may be, Balmer's spreadsheet 139 00:07:52,000 --> 00:07:55,520 Speaker 2: habit speaks to how Excel has morph from a computational 140 00:07:55,560 --> 00:08:00,160 Speaker 2: tool to a ubiquitous part of people's everyday lives. But 141 00:08:00,560 --> 00:08:06,200 Speaker 2: how did the digital spreadsheet revolution start? Max says it 142 00:08:06,240 --> 00:08:10,760 Speaker 2: begins in the nineteen seventies, not with Microsoft or Excel, 143 00:08:11,360 --> 00:08:13,760 Speaker 2: but with a program called VisiCalc. 144 00:08:14,200 --> 00:08:17,720 Speaker 3: We spoke to the inventor of iCal, this guy named 145 00:08:17,760 --> 00:08:20,600 Speaker 3: Dan Bricklin, who dreamed it up while he was in 146 00:08:20,600 --> 00:08:23,800 Speaker 3: a business school class. There are things that look like spreadsheets, 147 00:08:24,160 --> 00:08:27,760 Speaker 3: you know, from ancient Mesopotamia. But like he was like, 148 00:08:27,800 --> 00:08:29,680 Speaker 3: wouldn't it be great if you could have one of 149 00:08:29,720 --> 00:08:33,839 Speaker 3: these tables with numbers where it just calculates instantly. And 150 00:08:33,920 --> 00:08:39,880 Speaker 3: he created, with a co founder, Bob Frankston, basically this 151 00:08:40,000 --> 00:08:43,800 Speaker 3: kind of rough hewn spreadsheet called Visical for the Apple too. 152 00:08:44,240 --> 00:08:46,960 Speaker 3: It really was I think the thing that started the 153 00:08:47,080 --> 00:08:48,360 Speaker 3: personal computing revolution. 154 00:08:48,720 --> 00:08:52,240 Speaker 2: At the time, computers were mostly used by universities or 155 00:08:52,320 --> 00:08:55,560 Speaker 2: large companies. They weren't in lots of people's homes or 156 00:08:55,559 --> 00:08:59,840 Speaker 2: in most people's desks at work. But big technology companies 157 00:08:59,880 --> 00:09:02,080 Speaker 2: like Microsoft, we're hoping to change that. 158 00:09:02,880 --> 00:09:06,840 Speaker 1: Microsoft's like early motto was, you know, a computer on 159 00:09:06,920 --> 00:09:09,840 Speaker 1: every desk and in every home running Microsoft software. But 160 00:09:10,440 --> 00:09:13,679 Speaker 1: the problem is you have to convince people that they 161 00:09:13,800 --> 00:09:17,120 Speaker 1: want this. Why would anybody want their own one of 162 00:09:17,160 --> 00:09:17,720 Speaker 1: these things? 163 00:09:19,200 --> 00:09:22,760 Speaker 2: Microsoft realized that spreadsheet software could be part of that 164 00:09:22,880 --> 00:09:27,240 Speaker 2: pitch for selling more personal computers, so they decided to 165 00:09:27,320 --> 00:09:31,840 Speaker 2: take what VisiCalc pioneered and iterate on it. They started 166 00:09:31,840 --> 00:09:35,760 Speaker 2: working on a digital spreadsheet competitor. Was there a moment 167 00:09:35,920 --> 00:09:39,640 Speaker 2: when Microsoft kind of realized this could be a really 168 00:09:39,679 --> 00:09:42,520 Speaker 2: big deal for them as a company. 169 00:09:42,760 --> 00:09:44,600 Speaker 3: I mean, they knew from the jump. By the time 170 00:09:44,640 --> 00:09:48,439 Speaker 3: the Excel project started in eighty three, which was originally 171 00:09:48,440 --> 00:09:51,720 Speaker 3: called Project Odyssey, spreadsheets were a thing. Like everyone knew 172 00:09:52,200 --> 00:09:55,280 Speaker 3: that there were basically like two cool things you could 173 00:09:55,280 --> 00:09:59,200 Speaker 3: do with a computer. One was we're processing like desktop publishing, 174 00:09:59,400 --> 00:10:03,040 Speaker 3: and the other is spreadsheets. So Microsoft's like frantically like 175 00:10:03,120 --> 00:10:05,720 Speaker 3: trying to like make their own spreadsheet and they made 176 00:10:06,400 --> 00:10:09,360 Speaker 3: they made this original one which was like a VisiCalc 177 00:10:09,480 --> 00:10:13,480 Speaker 3: knockoff called Multiplan that did not work out, and then 178 00:10:13,600 --> 00:10:17,199 Speaker 3: they started working on another knockoff, which was a Lotus knockoff. 179 00:10:17,240 --> 00:10:21,160 Speaker 3: Lotus being like, at the time, the most successful spreadsheet program, 180 00:10:21,520 --> 00:10:24,760 Speaker 3: and they made this decision which I think in retrospect 181 00:10:24,960 --> 00:10:28,960 Speaker 3: it looks inspired to put it on the Mac. And 182 00:10:29,000 --> 00:10:33,440 Speaker 3: not only did that help like propel the Mac, it 183 00:10:33,600 --> 00:10:39,439 Speaker 3: also ends up propelling Microsoft because spreadsheets using this kind 184 00:10:39,440 --> 00:10:42,440 Speaker 3: of graphical interface, the point and click thing, it's just 185 00:10:42,600 --> 00:10:46,880 Speaker 3: like a way more elegant version of the experience, and 186 00:10:46,960 --> 00:10:51,400 Speaker 3: that then sort of propels Excel to become the dominant 187 00:10:51,400 --> 00:10:54,360 Speaker 3: spreadsheet platform. And then that gets juiced by like a 188 00:10:54,400 --> 00:10:58,960 Speaker 3: ton of sort of Microsoft, you know, hard nosed business behavior. 189 00:11:00,120 --> 00:11:03,600 Speaker 2: One of the key business strategies was selling subscriptions to 190 00:11:03,679 --> 00:11:07,199 Speaker 2: several of their software apps together as a package. That 191 00:11:07,240 --> 00:11:09,960 Speaker 2: package was called Microsoft Office. 192 00:11:10,200 --> 00:11:12,240 Speaker 3: I think if you're trying to understand, like how did 193 00:11:12,360 --> 00:11:16,880 Speaker 3: Microsoft sort of use Excel to propel itself to this dominance, Like, 194 00:11:16,920 --> 00:11:20,600 Speaker 3: in one word, it's bundling. As Microsoft evolved into the nineties, 195 00:11:20,679 --> 00:11:23,760 Speaker 3: they start making all these deals with big companies and 196 00:11:23,800 --> 00:11:28,320 Speaker 3: with computer manufacturers, so it becomes this like thing where 197 00:11:28,360 --> 00:11:32,760 Speaker 3: you can't really switch your spreadsheet without making a bunch 198 00:11:32,760 --> 00:11:36,800 Speaker 3: of other changes that could be potentially disruptive to your business. 199 00:11:37,360 --> 00:11:39,800 Speaker 1: The bundle got even bigger, sort of in the cloud era, 200 00:11:39,880 --> 00:11:43,800 Speaker 1: because ultimately Microsoft winds up doing this you know, cloud 201 00:11:43,920 --> 00:11:48,240 Speaker 1: license offering where if you're a corporation, every employee gets 202 00:11:48,320 --> 00:11:51,480 Speaker 1: everything in one thing. It ends up becoming its ends 203 00:11:51,520 --> 00:11:54,160 Speaker 1: up being called Microsoft three sixty five, and you can't 204 00:11:54,240 --> 00:11:58,120 Speaker 1: take those pieces apart. And look, I had a CIO 205 00:11:58,200 --> 00:12:00,960 Speaker 1: tell me while I was recaring a different story about 206 00:12:00,960 --> 00:12:03,080 Speaker 1: a year ago, that his CEO was trying to figure 207 00:12:03,080 --> 00:12:04,800 Speaker 1: out how they could save money on software, and came 208 00:12:04,800 --> 00:12:07,079 Speaker 1: over to him and said, look, you know, I personally 209 00:12:07,360 --> 00:12:11,040 Speaker 1: don't use Excel. Can you go to Microsoft and you 210 00:12:11,080 --> 00:12:13,920 Speaker 1: can save some money on my license. I don't need Excel, 211 00:12:13,960 --> 00:12:16,240 Speaker 1: don't pay them for Excel for me. And the CIO 212 00:12:16,400 --> 00:12:18,679 Speaker 1: just looked at a CEO like, you, sweet summer child, 213 00:12:18,720 --> 00:12:19,440 Speaker 1: that that is. 214 00:12:19,320 --> 00:12:19,840 Speaker 3: Not a thing. 215 00:12:20,559 --> 00:12:24,040 Speaker 2: With the benefit of hindsight, how important was Excel in 216 00:12:24,120 --> 00:12:26,920 Speaker 2: turning Microsoft into the company that it is today. 217 00:12:27,480 --> 00:12:31,160 Speaker 3: I mean, I think there's no Microsoft, the four trillion 218 00:12:31,679 --> 00:12:35,559 Speaker 3: almost four trillion dollar you know, market cap company that 219 00:12:36,000 --> 00:12:38,720 Speaker 3: dominates the business software market without Excel. 220 00:12:41,160 --> 00:12:44,920 Speaker 2: In four decades, Excel has managed to conquer the corporate 221 00:12:44,960 --> 00:12:48,520 Speaker 2: world and seep into our culture, but it's no longer 222 00:12:48,600 --> 00:12:52,720 Speaker 2: the only game in town. The challenges to Excel's dominance 223 00:12:53,320 --> 00:13:03,760 Speaker 2: that's coming up next. When Microsoft Excel was first released 224 00:13:03,760 --> 00:13:06,520 Speaker 2: in nineteen eighty five, it built on the work of 225 00:13:06,640 --> 00:13:11,600 Speaker 2: early digital spreadsheet programs like VisiCalc and Lotus, and pretty 226 00:13:11,640 --> 00:13:16,560 Speaker 2: much since then, Excel has been synonymous with spreadsheets, but 227 00:13:16,600 --> 00:13:20,280 Speaker 2: Bloomberg's Dina Bass says that hasn't stopped other companies from 228 00:13:20,320 --> 00:13:24,760 Speaker 2: trying to compete with it, like Google, which introduced Google 229 00:13:24,800 --> 00:13:26,439 Speaker 2: Sheets in two thousand and six. 230 00:13:26,840 --> 00:13:29,600 Speaker 1: Several people we spoke to, including you know, Ray Azi, 231 00:13:29,640 --> 00:13:32,319 Speaker 1: who after his time at Lotus actually ended up at 232 00:13:32,400 --> 00:13:36,480 Speaker 1: Microsoft working on their cloud strategy, you know, said to us, Look, 233 00:13:36,679 --> 00:13:39,800 Speaker 1: you know, people thought we thought sheets was going to 234 00:13:40,120 --> 00:13:43,040 Speaker 1: and just Google's office competitors in general were going to 235 00:13:43,040 --> 00:13:46,080 Speaker 1: be the thing that you know, took out Excel, but 236 00:13:46,120 --> 00:13:49,320 Speaker 1: it just never really happened. And look, I mean Google 237 00:13:49,400 --> 00:13:54,040 Speaker 1: does have a number of their office competitor is particularly 238 00:13:54,080 --> 00:13:57,840 Speaker 1: strong in schools. You know, most kids. When they go 239 00:13:57,880 --> 00:13:59,840 Speaker 1: to school, they get a Chromebook and it comes with 240 00:14:00,040 --> 00:14:02,600 Speaker 1: the Google applications, and so you end up with a 241 00:14:02,640 --> 00:14:05,400 Speaker 1: generation and people that are growing up not using Office 242 00:14:05,440 --> 00:14:08,920 Speaker 1: but instead using the Google rivals. And so there has 243 00:14:09,000 --> 00:14:11,200 Speaker 1: been this question, I think for the last ten years 244 00:14:11,280 --> 00:14:13,199 Speaker 1: or so about what would happen when those folks hit 245 00:14:13,240 --> 00:14:16,720 Speaker 1: the workforce. But we're still really not seeing a mass 246 00:14:16,760 --> 00:14:19,320 Speaker 1: migration away from office. It seems like when you hit 247 00:14:19,360 --> 00:14:21,880 Speaker 1: the workforce, you get assigned your office license. 248 00:14:22,840 --> 00:14:26,520 Speaker 2: So far Excel has managed to fend off its free 249 00:14:26,560 --> 00:14:31,520 Speaker 2: cloud based competitor, but now it's also confronting another big 250 00:14:31,600 --> 00:14:36,120 Speaker 2: technological shift. I have to ask what about AI? What 251 00:14:36,280 --> 00:14:38,960 Speaker 2: kind of threat does AI post to Excel? 252 00:14:39,240 --> 00:14:42,520 Speaker 3: So if you think, like at the furthest remove, the 253 00:14:42,600 --> 00:14:45,600 Speaker 3: promise of AI is it's going to take a large 254 00:14:45,600 --> 00:14:48,280 Speaker 3: amount of data of information and allow you to ask 255 00:14:48,360 --> 00:14:50,440 Speaker 3: questions of it and get answers in an easy way. 256 00:14:50,520 --> 00:14:52,760 Speaker 3: And that's like what a spreadsheet does. And so there 257 00:14:52,800 --> 00:14:56,560 Speaker 3: are lots of potential Excel competitors. There are sort of 258 00:14:56,640 --> 00:14:59,520 Speaker 3: like AI versions of Excel. There are these kind of 259 00:14:59,520 --> 00:15:03,280 Speaker 3: like AI tools that are designed essentially to work with Excel, 260 00:15:03,560 --> 00:15:07,760 Speaker 3: but like part of The problem is that these AI 261 00:15:07,880 --> 00:15:11,800 Speaker 3: tools are really just either copycats of Excel, like they're 262 00:15:11,840 --> 00:15:14,880 Speaker 3: sort of just like doing exactly what Excel does, or 263 00:15:14,880 --> 00:15:17,920 Speaker 3: they're just little pieces that are designed to work with Excel. 264 00:15:18,000 --> 00:15:21,200 Speaker 3: So it's like an AI assistant that will spit out 265 00:15:21,240 --> 00:15:24,400 Speaker 3: a spreadsheet, but that spreadsheet ends up being an Excel file. 266 00:15:24,680 --> 00:15:26,680 Speaker 3: But then there's an other issue with AI, which is, 267 00:15:26,720 --> 00:15:30,160 Speaker 3: like AI is not great at math, like just the 268 00:15:30,320 --> 00:15:32,760 Speaker 3: like just like the most basic Excel function is like 269 00:15:32,920 --> 00:15:35,160 Speaker 3: some like add up a big long list of numbers, 270 00:15:35,200 --> 00:15:39,680 Speaker 3: and like large language models are not awesome at computation 271 00:15:40,240 --> 00:15:43,200 Speaker 3: because like they're going for approximation, not the not the 272 00:15:43,240 --> 00:15:46,280 Speaker 3: perfect answers. And then the other thing is AI models 273 00:15:46,320 --> 00:15:50,240 Speaker 3: are really bad at, like at telling you why they 274 00:15:50,360 --> 00:15:52,600 Speaker 3: arrived at a given answer, and that is the thing 275 00:15:52,600 --> 00:15:54,240 Speaker 3: that spreadsheets are awesome at. 276 00:15:54,960 --> 00:15:57,960 Speaker 2: And Dina says that even some of the AI products 277 00:15:57,960 --> 00:16:02,080 Speaker 2: that are aiming to replace Excel still rely on spreadsheets 278 00:16:02,160 --> 00:16:03,320 Speaker 2: to manage their data. 279 00:16:03,680 --> 00:16:06,000 Speaker 1: What people are trying to do is not reinvent the 280 00:16:06,080 --> 00:16:11,920 Speaker 1: underlying spreadsheet layer. It's you know, basically create a copilot 281 00:16:12,040 --> 00:16:15,280 Speaker 1: or an assistant that works on top of the data 282 00:16:15,280 --> 00:16:17,920 Speaker 1: in the spreadsheet and answers questions for you. Now, Microsoft, 283 00:16:17,920 --> 00:16:20,160 Speaker 1: of course is trying to do the same thing with 284 00:16:20,240 --> 00:16:21,119 Speaker 1: their Copilot. 285 00:16:21,400 --> 00:16:24,720 Speaker 3: And so even if you're using an AI algorithm to 286 00:16:24,760 --> 00:16:27,120 Speaker 3: generate a spreadsheet, my guess is it's going to spit 287 00:16:27,160 --> 00:16:28,680 Speaker 3: it out and you're going to be right back and 288 00:16:28,760 --> 00:16:32,120 Speaker 3: Microsoft Excel just like your parents and maybe even your 289 00:16:32,120 --> 00:16:32,960 Speaker 3: grandparents were. 290 00:16:33,480 --> 00:16:36,240 Speaker 2: Max says, there might be something deeper at play here, 291 00:16:36,680 --> 00:16:40,760 Speaker 2: something intangible that's kept people coming back to Excel year 292 00:16:40,840 --> 00:16:41,400 Speaker 2: after year. 293 00:16:41,560 --> 00:16:44,480 Speaker 3: Maybe there is something fundamental to a spreadsheet that like 294 00:16:44,520 --> 00:16:49,400 Speaker 3: we wouldn't actually want to process data in another way 295 00:16:49,440 --> 00:16:51,840 Speaker 3: that like, really, this is just like a table of numbers. 296 00:16:52,080 --> 00:16:54,000 Speaker 3: Like I said, people have been using tables and numbers 297 00:16:54,040 --> 00:16:54,960 Speaker 3: for a very long time. 298 00:16:55,120 --> 00:16:56,760 Speaker 2: Yeah, if it was good enough for mesopotagics. 299 00:16:57,040 --> 00:16:59,520 Speaker 3: Yeah, it's like it's how Steve Bomber's brain works. Maybe 300 00:16:59,520 --> 00:17:01,720 Speaker 3: it's how all of our brains work in some sense. 301 00:17:01,960 --> 00:17:06,239 Speaker 3: And like the prospect of trying to reinvent that it 302 00:17:06,280 --> 00:17:08,680 Speaker 3: doesn't make that much sense, which is why, like Dina said, 303 00:17:08,720 --> 00:17:12,680 Speaker 3: like Microsoft strategy is not to make an AI version 304 00:17:12,720 --> 00:17:15,840 Speaker 3: of Excel. It's just have like an assistant inside of 305 00:17:15,840 --> 00:17:18,520 Speaker 3: Excel that and this is you know, barring the language 306 00:17:18,520 --> 00:17:20,760 Speaker 3: that Microsoft executives use when they talk about it, but 307 00:17:20,840 --> 00:17:23,320 Speaker 3: it's basically like, they want to make you as good 308 00:17:23,320 --> 00:17:27,080 Speaker 3: as the world champion three two. 309 00:17:26,480 --> 00:17:30,640 Speaker 2: One, and we dine Wow. 310 00:17:31,160 --> 00:17:34,360 Speaker 3: So you watch those world champions on TV. You're really impressed, 311 00:17:34,359 --> 00:17:38,440 Speaker 3: You're thrilled. A huge congratulations to our twenty twenty five 312 00:17:38,520 --> 00:17:43,600 Speaker 3: Microsoft Excel World Champion Deer mid Early and now you, 313 00:17:43,720 --> 00:17:46,200 Speaker 3: with the help of co pilot, can do the same 314 00:17:46,320 --> 00:17:48,680 Speaker 3: kinds of advanced modeling that they do. I don't think 315 00:17:48,680 --> 00:17:51,000 Speaker 3: it's quite there yet, but that's the that's the promise. 316 00:17:58,280 --> 00:18:01,280 Speaker 2: This is the Big Take from Bloomberg News. I'm Sarah Holder. 317 00:18:01,600 --> 00:18:04,200 Speaker 2: To get more from The Big Take and unlimited access 318 00:18:04,240 --> 00:18:08,119 Speaker 2: to all of bloomberg dot com, subscribe today at Bloomberg 319 00:18:08,160 --> 00:18:12,159 Speaker 2: dot com slash Podcast offer. Thanks for listening. We'll be 320 00:18:12,200 --> 00:18:12,800 Speaker 2: back tomorrow.