1 00:00:00,040 --> 00:00:04,200 Speaker 1: Hey Max here. Last week Bloomberg published a story that 2 00:00:04,320 --> 00:00:08,039 Speaker 1: I wrote with reporter Dina Bass about Microsoft Exel, that is, 3 00:00:08,119 --> 00:00:13,239 Speaker 1: the spreadsheet software which for the last forty years has 4 00:00:13,320 --> 00:00:18,439 Speaker 1: been a source of awesome innovation and also endless frustration 5 00:00:19,040 --> 00:00:22,680 Speaker 1: for hundreds of millions, if not billions, of business people. 6 00:00:23,480 --> 00:00:28,000 Speaker 1: It's a really fun and really nerdy story, and as 7 00:00:28,080 --> 00:00:30,400 Speaker 1: part of it, Dina and I worked with our daily podcast, 8 00:00:30,440 --> 00:00:33,640 Speaker 1: The Big Take to turn it into a podcast episode. 9 00:00:33,840 --> 00:00:35,760 Speaker 1: We're really happy with how it came out, and we 10 00:00:35,800 --> 00:00:38,400 Speaker 1: wanted to share it with you here. So thanks to 11 00:00:38,479 --> 00:00:40,880 Speaker 1: Dina as well as host Sarah Holder and the entire 12 00:00:40,920 --> 00:00:43,720 Speaker 1: Big Take team, and without further ado, here is the 13 00:00:43,760 --> 00:00:48,360 Speaker 1: episode Why We Can't Quit Microsoft Excel, first published December fourth. 14 00:00:51,320 --> 00:00:57,640 Speaker 2: Bloomberg Audio Studios, Podcasts, Radio News. 15 00:00:58,400 --> 00:01:01,920 Speaker 3: This week in Las Vegas, group of elite players faced 16 00:01:01,920 --> 00:01:05,559 Speaker 3: off to compete for a coveted world championship title. 17 00:01:06,360 --> 00:01:10,000 Speaker 1: Everyone seems to know the score. 18 00:01:10,800 --> 00:01:13,319 Speaker 2: It really does feel like you're, you know, at Madison 19 00:01:13,360 --> 00:01:16,080 Speaker 2: Square Garden watching the Knicks starting five run out what 20 00:01:16,120 --> 00:01:21,880 Speaker 2: I've seen Andrew Dewey with a little bit less excitement. 21 00:01:21,959 --> 00:01:26,679 Speaker 3: Maybe the competitors enter the arena through a tunnel pro sports. 22 00:01:26,319 --> 00:01:31,480 Speaker 2: Style, everybody runs out to cheers, you know, befitting their 23 00:01:31,600 --> 00:01:38,440 Speaker 2: celebrity and skill in the world of spreadsheets. The championship, 24 00:01:38,920 --> 00:01:40,080 Speaker 2: who is going to win? 25 00:01:42,160 --> 00:01:46,360 Speaker 3: Yep, that's right, We're talking about the World Championship of 26 00:01:46,560 --> 00:01:52,040 Speaker 3: Microsoft excel. Dina Bass, who's covered Microsoft for decades and 27 00:01:52,080 --> 00:01:56,000 Speaker 3: now writes about AI, says since the first competition in 28 00:01:56,040 --> 00:02:01,120 Speaker 3: twenty twelve, Microsoft Excelling has become something of serious esport. 29 00:02:01,240 --> 00:02:03,120 Speaker 3: All right, audience, we're gonna need your help. We're gonna 30 00:02:03,120 --> 00:02:04,840 Speaker 3: count it down. We're gonna start it five, let's go. 31 00:02:04,920 --> 00:02:08,560 Speaker 3: Fuck it even has commentators three two. 32 00:02:09,120 --> 00:02:12,919 Speaker 2: What have you ever seen like video game speed running 33 00:02:12,919 --> 00:02:15,520 Speaker 2: where people try to finish like a Mario game as 34 00:02:15,600 --> 00:02:18,520 Speaker 2: quickly as possible. That also has that like fla by 35 00:02:18,600 --> 00:02:22,560 Speaker 2: play commentary, because otherwise, like normal people wouldn't understand what's 36 00:02:22,600 --> 00:02:25,680 Speaker 2: going on. They sort of give them something to solve, 37 00:02:25,760 --> 00:02:28,080 Speaker 2: and you're watching it, but it moves so quickly you 38 00:02:28,160 --> 00:02:30,200 Speaker 2: kind of don't know what you're watching. 39 00:02:29,880 --> 00:02:31,320 Speaker 1: The right side of the screen as well, if you're 40 00:02:31,320 --> 00:02:33,880 Speaker 1: wondering what's flashing on the right side there those are 41 00:02:33,919 --> 00:02:35,239 Speaker 1: his keys and as shortcuts. 42 00:02:35,760 --> 00:02:38,880 Speaker 3: So obviously ht this level what you're watching these pro 43 00:02:39,080 --> 00:02:43,000 Speaker 3: spreadsheeters do isn't too different from what millions of office 44 00:02:43,000 --> 00:02:46,320 Speaker 3: workers around the country do every day, sit at a 45 00:02:46,360 --> 00:02:48,760 Speaker 3: computer and put numbers into cells. 46 00:02:49,200 --> 00:02:52,800 Speaker 1: The genesis of this competition was financial modeling. 47 00:02:53,200 --> 00:02:56,440 Speaker 3: That's Max Chafkin, who writes for BusinessWeek and co host 48 00:02:56,520 --> 00:02:59,120 Speaker 3: the magazine's podcast Everybody's Business. 49 00:02:59,440 --> 00:03:01,440 Speaker 1: So you to be a competition to see who is 50 00:03:01,440 --> 00:03:03,760 Speaker 1: the best at financial modeling, which is of course how 51 00:03:03,800 --> 00:03:07,400 Speaker 1: most people use Microsoft Excel, and they changed it a 52 00:03:07,400 --> 00:03:09,800 Speaker 1: couple of years back to make it more accessible. So 53 00:03:09,960 --> 00:03:13,440 Speaker 1: now what they model our games. But at the end 54 00:03:13,440 --> 00:03:16,959 Speaker 1: of the day, viewers are like looking at a spreadsheet, 55 00:03:16,960 --> 00:03:19,400 Speaker 1: like a normal Excel spreadsheet with and there's like a 56 00:03:19,440 --> 00:03:22,920 Speaker 1: little little mini screen inside, like an inset screen like 57 00:03:22,919 --> 00:03:25,400 Speaker 1: on a video game where you see the athlete, you know, 58 00:03:25,480 --> 00:03:29,440 Speaker 1: clicking the mouse and like and manipulating the you know, 59 00:03:29,480 --> 00:03:30,120 Speaker 1: the cells. 60 00:03:30,560 --> 00:03:34,800 Speaker 3: It's not exactly an NBA game, But watch an Excel 61 00:03:34,840 --> 00:03:38,440 Speaker 3: wizard input functions at warp speed, and your pulse might 62 00:03:38,480 --> 00:03:41,840 Speaker 3: start racing, which is not the kind of emotion people 63 00:03:42,120 --> 00:03:47,400 Speaker 3: usually associate with Excel. Somehow, despite its association with badly 64 00:03:47,440 --> 00:03:51,720 Speaker 3: lit offices and boring capitalist gruntwork, Excel has become one 65 00:03:51,720 --> 00:03:55,560 Speaker 3: of the most influential computer programs in the world, and 66 00:03:55,600 --> 00:03:57,920 Speaker 3: not just in the world of esports. 67 00:03:58,800 --> 00:04:02,440 Speaker 1: Excel is like the most I think it's like probably 68 00:04:02,480 --> 00:04:07,560 Speaker 1: the most important piece of software that has ever been created. Basically, 69 00:04:07,640 --> 00:04:11,680 Speaker 1: like it runs almost every single business, it runs, every 70 00:04:11,760 --> 00:04:16,200 Speaker 1: single nonprofit it runs, like any big organization you can 71 00:04:16,240 --> 00:04:20,000 Speaker 1: think about is in some sense operating on Microsoft ex 72 00:04:20,000 --> 00:04:25,800 Speaker 1: Cel because it's the dominant spreadsheet platform. 73 00:04:26,080 --> 00:04:28,560 Speaker 3: I'm Sarah Holder and this is the big take from 74 00:04:28,560 --> 00:04:32,840 Speaker 3: Bloomberg News Today on the show. Microsoft Excel is now 75 00:04:32,920 --> 00:04:36,760 Speaker 3: forty years old in an age of AI and Google Sheets, 76 00:04:37,200 --> 00:04:44,960 Speaker 3: Can it last another forty? For many people, Microsoft Excel's 77 00:04:45,040 --> 00:04:48,640 Speaker 3: classic green and white grid and it's seemingly infinite scroll 78 00:04:48,720 --> 00:04:52,440 Speaker 3: of columns and rows bring up strong feelings. 79 00:04:53,520 --> 00:04:55,560 Speaker 1: How do you feel about microsoftic Cell? 80 00:04:55,960 --> 00:04:56,840 Speaker 2: I love using it. 81 00:04:57,000 --> 00:05:00,000 Speaker 3: This is something our producer David Fox discovered walking around 82 00:05:00,080 --> 00:05:02,680 Speaker 3: New York City's Bryant Park during a lunch break. 83 00:05:02,839 --> 00:05:06,599 Speaker 1: Do you have a favorite XL formula or function? 84 00:05:07,000 --> 00:05:09,039 Speaker 3: Oh my gosh, I mean it's really basic, but I 85 00:05:09,040 --> 00:05:12,640 Speaker 3: love account IF or account A X look up HTA 86 00:05:12,800 --> 00:05:13,400 Speaker 3: is a good one. 87 00:05:13,560 --> 00:05:15,440 Speaker 1: I use a lot of advance statements and like being 88 00:05:15,440 --> 00:05:17,720 Speaker 1: able to like coffy things, you know, when you just 89 00:05:17,839 --> 00:05:18,800 Speaker 1: drag the cursor down. 90 00:05:19,000 --> 00:05:21,240 Speaker 3: I mean, if you're really a pro, you don't use 91 00:05:21,279 --> 00:05:25,120 Speaker 3: the mouse, but I will use the mouse just for efficiency. 92 00:05:25,480 --> 00:05:28,919 Speaker 3: Bloomberg's Dina Bass and Max Chafkin say those kinds of 93 00:05:28,960 --> 00:05:30,560 Speaker 3: reactions are pretty typical. 94 00:05:30,720 --> 00:05:37,120 Speaker 2: Excel just symbolizes drudgery, right, It's every workplace movie stereotype. 95 00:05:37,960 --> 00:05:41,640 Speaker 2: You know, it's the office in Slough, it's office space 96 00:05:41,680 --> 00:05:46,360 Speaker 2: in your Nine Bosses. The user interface is dull. It 97 00:05:46,440 --> 00:05:48,080 Speaker 2: hasn't really changed much. 98 00:05:48,440 --> 00:05:50,719 Speaker 1: It's also and this was suggested to me by miss 99 00:05:50,839 --> 00:05:55,960 Speaker 1: Kpor who's a spreadsheet pioneer, but it's also an embodiment 100 00:05:56,120 --> 00:05:59,720 Speaker 1: of the things that we hate most about capitalism, right, 101 00:05:59,800 --> 00:06:04,200 Speaker 1: Like Excel is about cutting costs, it's about optimizing if 102 00:06:04,640 --> 00:06:08,119 Speaker 1: you get laid off, like guaranteed you were laid off 103 00:06:08,480 --> 00:06:11,080 Speaker 1: because of a cell on an Excel spreadsheet. And I 104 00:06:11,080 --> 00:06:14,520 Speaker 1: think we all like kind of understand that it's like 105 00:06:14,600 --> 00:06:17,840 Speaker 1: the on fun parts of capitalism. 106 00:06:17,480 --> 00:06:20,560 Speaker 3: Right, Like we're all just numbers in an Excel file. 107 00:06:20,400 --> 00:06:23,080 Speaker 1: Exactly to day. I mean, I think for many people, 108 00:06:23,120 --> 00:06:26,560 Speaker 1: including many power users, it's like it is like a 109 00:06:26,600 --> 00:06:30,839 Speaker 1: thing that they hate and a thing that they also appreciate. 110 00:06:31,480 --> 00:06:34,640 Speaker 1: The thing for me that kind of epitomize this. There's 111 00:06:34,640 --> 00:06:37,760 Speaker 1: a very active community on Reddit for Excel. The most 112 00:06:37,800 --> 00:06:41,680 Speaker 1: popular post of all time is somebody explaining how to 113 00:06:41,880 --> 00:06:46,520 Speaker 1: watch Wall E inside of Microsoft Excel in order to 114 00:06:46,600 --> 00:06:51,839 Speaker 1: trick their company's workplace software into thinking that they're using 115 00:06:52,080 --> 00:06:53,680 Speaker 1: Excel when they're in fact watching a movie. 116 00:06:53,720 --> 00:06:55,280 Speaker 3: So they're on Excel for like an hour and forty 117 00:06:55,279 --> 00:06:57,000 Speaker 3: five minutes, but they're just I love. 118 00:06:56,839 --> 00:07:00,000 Speaker 1: It because it totally epitomizes. First of all, this software 119 00:07:00,120 --> 00:07:03,760 Speaker 1: is insanely powerful, Like you can add up numbers, but 120 00:07:03,839 --> 00:07:07,480 Speaker 1: you can also run full on programs, and yet like 121 00:07:07,680 --> 00:07:11,080 Speaker 1: with all of that power, what you're doing is getting 122 00:07:11,080 --> 00:07:13,160 Speaker 1: around the fact that you have to use the software 123 00:07:13,200 --> 00:07:13,880 Speaker 1: in the first place. 124 00:07:14,400 --> 00:07:17,600 Speaker 3: There are something like five hundred million paying Excel users 125 00:07:17,640 --> 00:07:20,840 Speaker 3: out there, according to Max and Dina's calculations based on 126 00:07:20,920 --> 00:07:26,200 Speaker 3: Microsoft's public disclosures. Those users range from Excel social media 127 00:07:26,280 --> 00:07:31,360 Speaker 3: influencers to employees at the US Department of War Finance, guys, 128 00:07:31,720 --> 00:07:35,040 Speaker 3: college students, and people like Steve Balmer. 129 00:07:35,360 --> 00:07:37,720 Speaker 4: Most people think it's pretty weird. I keep a spreadsheet 130 00:07:37,760 --> 00:07:39,200 Speaker 4: of how I spend my hours. 131 00:07:39,360 --> 00:07:42,559 Speaker 1: When we interviewed Steve Balmer, he was like, oh yeah, 132 00:07:42,680 --> 00:07:44,840 Speaker 1: I mean, like, I'm not really an Excel guy. And 133 00:07:44,880 --> 00:07:47,360 Speaker 1: then he showed us all these, like all the insane 134 00:07:47,360 --> 00:07:48,440 Speaker 1: ways that he was using it. 135 00:07:48,800 --> 00:07:52,200 Speaker 3: Steve Balmer headed Microsoft sales in the eighties and went 136 00:07:52,240 --> 00:07:55,680 Speaker 3: on to become the company's CEO. He now owns the 137 00:07:55,680 --> 00:07:56,840 Speaker 3: Los Angeles Clippers. 138 00:07:57,200 --> 00:07:58,320 Speaker 4: Okay, can you guys see that? 139 00:07:59,640 --> 00:08:00,400 Speaker 1: Oh my god, o god. 140 00:08:01,520 --> 00:08:04,720 Speaker 3: He showed Max and Dina the Excel spreadsheet he uses 141 00:08:04,800 --> 00:08:06,320 Speaker 3: to organize his life. 142 00:08:06,640 --> 00:08:10,080 Speaker 4: So this is kind of my spreadsheet twenty five budget, 143 00:08:10,760 --> 00:08:14,559 Speaker 4: twenty twenty five actual year to date? How many nights 144 00:08:14,600 --> 00:08:18,000 Speaker 4: in my way from home? What nights were they? 145 00:08:18,520 --> 00:08:21,080 Speaker 2: I've known Steve Balmer for more than two decades. His 146 00:08:21,280 --> 00:08:25,200 Speaker 2: entire brain is just a series of endless spreadsheets. That's 147 00:08:25,240 --> 00:08:26,160 Speaker 2: the way he thinks. 148 00:08:26,440 --> 00:08:28,760 Speaker 1: I of course asked him, like, where's the bathroom time go? 149 00:08:28,880 --> 00:08:30,440 Speaker 1: He's like, oh, that's personal time. 150 00:08:30,920 --> 00:08:34,560 Speaker 4: Everything nine to five I keep track of and anything 151 00:08:34,679 --> 00:08:36,520 Speaker 4: clippers at night. 152 00:08:37,160 --> 00:08:41,480 Speaker 3: Extreme as it may be, Balmer's spreadsheet habit speaks to 153 00:08:41,520 --> 00:08:45,040 Speaker 3: how Excel has morph from a computational tool to a 154 00:08:45,160 --> 00:08:50,000 Speaker 3: ubiquitous part of people's everyday lives. But how did the 155 00:08:50,120 --> 00:08:55,600 Speaker 3: digital spreadsheet revolution start? Max says it begins in the 156 00:08:55,679 --> 00:09:00,360 Speaker 3: nineteen seventies, not with Microsoft or Excel, but with a 157 00:09:00,400 --> 00:09:03,040 Speaker 3: program called VisiCalc. 158 00:09:02,800 --> 00:09:06,320 Speaker 1: We spoke to the inventor of Visical, this guy named 159 00:09:06,360 --> 00:09:09,160 Speaker 1: Dan Bricklin, who dreamed it up while he was in 160 00:09:09,200 --> 00:09:12,400 Speaker 1: a business school class. There are things that look like spreadsheets, 161 00:09:12,760 --> 00:09:16,360 Speaker 1: you know, from ancient Mesopotamia. But like he was like, 162 00:09:16,400 --> 00:09:18,280 Speaker 1: wouldn't it be great if you could have one of 163 00:09:18,320 --> 00:09:22,439 Speaker 1: these tables with numbers where it just calculates instantly. And 164 00:09:22,520 --> 00:09:28,480 Speaker 1: he created, with a co founder, Bob Frankston, basically this 165 00:09:28,600 --> 00:09:32,400 Speaker 1: kind of rough hewn spreadsheet called Visical for the Apple too. 166 00:09:32,840 --> 00:09:35,560 Speaker 1: It really was, I think the thing that started the 167 00:09:35,679 --> 00:09:36,960 Speaker 1: personal computing revolution. 168 00:09:37,320 --> 00:09:40,840 Speaker 3: At the time, computers were mostly used by universities or 169 00:09:40,920 --> 00:09:44,120 Speaker 3: large companies. They weren't in lots of people's homes or 170 00:09:44,160 --> 00:09:48,480 Speaker 3: in most people's desks at work. But big technology companies 171 00:09:48,559 --> 00:09:50,640 Speaker 3: like Microsoft were hoping to change that. 172 00:09:51,440 --> 00:09:55,440 Speaker 2: Microsoft's like early motto was you know, a computer on 173 00:09:55,520 --> 00:09:58,440 Speaker 2: every desk and in every home running Microsoft software. But 174 00:09:59,040 --> 00:10:02,280 Speaker 2: the problem is you have to convince people that they 175 00:10:02,400 --> 00:10:05,680 Speaker 2: want this. Why would anybody want their own one of 176 00:10:05,720 --> 00:10:06,280 Speaker 2: these things. 177 00:10:07,800 --> 00:10:11,360 Speaker 3: Microsoft realized that spreadsheet software could be part of that 178 00:10:11,480 --> 00:10:15,840 Speaker 3: pitch for selling more personal computers, so they decided to 179 00:10:15,880 --> 00:10:20,440 Speaker 3: take what VisiCalc pioneered and iterate on it. They started 180 00:10:20,440 --> 00:10:24,360 Speaker 3: working on a digital spreadsheet competitor. Was there a moment 181 00:10:24,520 --> 00:10:28,240 Speaker 3: when Microsoft kind of realized this could be a really 182 00:10:28,280 --> 00:10:31,120 Speaker 3: big deal for them as a company. 183 00:10:31,360 --> 00:10:33,200 Speaker 1: I mean, they knew from the jump. By the time 184 00:10:33,240 --> 00:10:37,040 Speaker 1: the Excel project started in eighty three, which was originally 185 00:10:37,040 --> 00:10:40,320 Speaker 1: called Project Odyssey, spreadsheets were a thing, Like everyone knew 186 00:10:40,760 --> 00:10:43,880 Speaker 1: that there were basically like two cool things you could 187 00:10:43,880 --> 00:10:47,760 Speaker 1: do with a computer. One was word processing like desktop publishing, 188 00:10:48,000 --> 00:10:51,640 Speaker 1: and the other is spreadsheets. So Microsoft's like frantically like 189 00:10:51,720 --> 00:10:54,400 Speaker 1: trying to like make their own spreadsheet and they made. 190 00:10:55,000 --> 00:10:57,960 Speaker 1: They made this original one which was like a VisiCalc 191 00:10:58,040 --> 00:11:02,120 Speaker 1: knockoff called Multiplan that did not work out, and then 192 00:11:02,160 --> 00:11:05,800 Speaker 1: they started working on another knockoff, which was a Lotus knockoff. 193 00:11:05,840 --> 00:11:09,720 Speaker 1: Lotus being like at the time, the most successful spreadsheet program, 194 00:11:10,120 --> 00:11:13,319 Speaker 1: And they made this decision which I think in retrospect 195 00:11:13,559 --> 00:11:17,559 Speaker 1: it looks inspired to put it on the Mac, and 196 00:11:17,600 --> 00:11:22,040 Speaker 1: not only did that help like propel the Mac, it 197 00:11:22,200 --> 00:11:28,040 Speaker 1: also ends up propelling Microsoft, because spreadsheets using this kind 198 00:11:28,040 --> 00:11:31,040 Speaker 1: of graphical interface, the point and click thing, it's just 199 00:11:31,200 --> 00:11:35,480 Speaker 1: like a way more elegant version of the experience, and 200 00:11:35,559 --> 00:11:40,000 Speaker 1: that then sort of propels Excel to become the dominant 201 00:11:40,000 --> 00:11:42,960 Speaker 1: spreadsheet platform. And then that gets juiced by like a 202 00:11:43,000 --> 00:11:47,560 Speaker 1: ton of sort of Microsoft you know, hard nosed business behavior. 203 00:11:48,679 --> 00:11:52,200 Speaker 3: One of the key business strategies was selling subscriptions to 204 00:11:52,240 --> 00:11:55,760 Speaker 3: several of their software apps together as a package. That 205 00:11:55,840 --> 00:11:58,560 Speaker 3: package was called Microsoft Office. 206 00:11:58,760 --> 00:12:00,839 Speaker 1: I think if you're trying to understay, like, how did 207 00:12:00,960 --> 00:12:05,480 Speaker 1: Microsoft sort of use Excel to propel itself to this dominance? Like, 208 00:12:05,520 --> 00:12:09,120 Speaker 1: in one word, it's bundling. As Microsoft evolved into the nineties, 209 00:12:09,240 --> 00:12:12,320 Speaker 1: they start making all these deals with big companies and 210 00:12:12,360 --> 00:12:16,920 Speaker 1: with computer manufacturers, so it becomes this like thing where 211 00:12:16,960 --> 00:12:21,280 Speaker 1: you can't really switch your spreadsheet without making a bunch 212 00:12:21,360 --> 00:12:25,400 Speaker 1: of other changes that could be potentially disruptive to your business. 213 00:12:25,960 --> 00:12:28,400 Speaker 2: The bundle got even bigger sort of in the cloud era, 214 00:12:28,480 --> 00:12:32,400 Speaker 2: because ultimately Microsoft winds up doing this you know cloud 215 00:12:32,520 --> 00:12:36,839 Speaker 2: license offering where if you're a corporation, every employee gets 216 00:12:36,880 --> 00:12:40,079 Speaker 2: everything in one thing, but ends up becoming it ends 217 00:12:40,120 --> 00:12:42,760 Speaker 2: up being called Microsoft three sixty five and you can't 218 00:12:42,800 --> 00:12:46,520 Speaker 2: take those pieces apart. And look, I had a CIO 219 00:12:46,800 --> 00:12:49,560 Speaker 2: tell me while I was researching a different story about 220 00:12:49,559 --> 00:12:51,680 Speaker 2: a year ago, that his CEO was trying to figure 221 00:12:51,679 --> 00:12:53,400 Speaker 2: out how they could save money on software, and came 222 00:12:53,400 --> 00:12:55,679 Speaker 2: over to him and said, look, you know, I personally 223 00:12:55,960 --> 00:12:59,600 Speaker 2: don't use Excel. Can you go to Microsoft and you 224 00:12:59,600 --> 00:13:02,480 Speaker 2: can see some money on my license. I don't need Excel, 225 00:13:02,559 --> 00:13:04,840 Speaker 2: don't pay them for Excel for me. And the CIO 226 00:13:05,000 --> 00:13:07,280 Speaker 2: just looked at a CEO like you, sweet summer child, 227 00:13:07,320 --> 00:13:08,400 Speaker 2: that that is not a thing. 228 00:13:09,160 --> 00:13:12,640 Speaker 3: With the benefit of hindsight. How important was Excel in 229 00:13:12,720 --> 00:13:15,520 Speaker 3: turning Microsoft into the company that it is today. 230 00:13:16,080 --> 00:13:19,800 Speaker 1: I mean, I think there's no Microsoft, the four trillion 231 00:13:20,280 --> 00:13:24,160 Speaker 1: almost four trillion dollar, you know, market cap company that 232 00:13:24,600 --> 00:13:27,320 Speaker 1: dominates the business software market without Excel. 233 00:13:29,760 --> 00:13:33,520 Speaker 3: In four decades, Excel has managed to conquer the corporate 234 00:13:33,520 --> 00:13:37,120 Speaker 3: world and seep into our culture, but it's no longer 235 00:13:37,200 --> 00:13:41,319 Speaker 3: the only game in town. The challenges to Excel's dominance 236 00:13:41,920 --> 00:13:52,360 Speaker 3: that's coming up next. When Microsoft Excel was first released 237 00:13:52,360 --> 00:13:55,120 Speaker 3: in nineteen eighty five, it built on the work of 238 00:13:55,240 --> 00:14:00,240 Speaker 3: early digital spreadsheet programs like VisiCalc and Lotus and pretty 239 00:14:00,280 --> 00:14:05,160 Speaker 3: much Since then, Excel has been synonymous with spreadsheets, but 240 00:14:05,200 --> 00:14:08,880 Speaker 3: Bloomberg's Dina Bass says that hasn't stopped other companies from 241 00:14:08,920 --> 00:14:13,360 Speaker 3: trying to compete with it, like Google, which introduced Google 242 00:14:13,400 --> 00:14:15,000 Speaker 3: Sheets in two thousand and six. 243 00:14:15,440 --> 00:14:18,199 Speaker 2: Several people we spoke to, including you know, Ray Azi, 244 00:14:18,240 --> 00:14:20,920 Speaker 2: who after his time at Lotus actually ended up at 245 00:14:21,000 --> 00:14:25,080 Speaker 2: Microsoft working on their cloud strategy, you know, said to us, Look, 246 00:14:25,280 --> 00:14:28,360 Speaker 2: you know, people thought we thought sheets was going to 247 00:14:28,520 --> 00:14:31,640 Speaker 2: and just Google's office competitors in general were going to 248 00:14:31,640 --> 00:14:34,680 Speaker 2: be the thing that you know, took out Excel, but 249 00:14:34,720 --> 00:14:37,920 Speaker 2: it just never really happened. And look, I mean, Google 250 00:14:38,000 --> 00:14:42,600 Speaker 2: does have a number of their office competitor is particularly 251 00:14:42,680 --> 00:14:46,440 Speaker 2: strong in schools. You know, most kids when they go 252 00:14:46,480 --> 00:14:48,520 Speaker 2: to school, they get a Chromebook and it comes with 253 00:14:48,600 --> 00:14:51,160 Speaker 2: the Google applications, And so you end up with a 254 00:14:51,240 --> 00:14:54,000 Speaker 2: generation and people that are growing up not using Office 255 00:14:54,040 --> 00:14:57,520 Speaker 2: but instead using the Google rivals. And so there has 256 00:14:57,560 --> 00:14:59,760 Speaker 2: been this question, I think for the last ten years 257 00:14:59,800 --> 00:15:01,800 Speaker 2: or so about what would happen when those folks hit 258 00:15:01,840 --> 00:15:05,320 Speaker 2: the workforce. But we're still really not seeing a mass 259 00:15:05,360 --> 00:15:07,920 Speaker 2: migration away from office. It seems like when you hit 260 00:15:07,960 --> 00:15:10,480 Speaker 2: the workforce, you get assigned your office license. 261 00:15:11,440 --> 00:15:15,120 Speaker 3: So far Excel has managed to fend off its free, 262 00:15:15,120 --> 00:15:20,080 Speaker 3: cloud based competitor, but now it's also confronting another big 263 00:15:20,200 --> 00:15:24,680 Speaker 3: technological shift. I have to ask what about AI? What 264 00:15:24,840 --> 00:15:27,560 Speaker 3: kind of threat does AI post to Excel? 265 00:15:27,840 --> 00:15:31,120 Speaker 1: So if you think, like at the furthest remove, the 266 00:15:31,200 --> 00:15:34,200 Speaker 1: promise of AI is it's going to take a large 267 00:15:34,200 --> 00:15:36,880 Speaker 1: amount of data of information and allow you to ask 268 00:15:36,960 --> 00:15:39,080 Speaker 1: questions of it and get answers in an easy way. 269 00:15:39,120 --> 00:15:41,360 Speaker 1: And that's like what a spreadsheet does. And so there 270 00:15:41,360 --> 00:15:45,160 Speaker 1: are lots of potential Excel competitors. There are sort of 271 00:15:45,240 --> 00:15:48,120 Speaker 1: like AI versions of Excel. There are these kind of 272 00:15:48,160 --> 00:15:51,880 Speaker 1: like AI tools that are designed essentially to work with Excel. 273 00:15:52,160 --> 00:15:56,320 Speaker 1: But like part of the problem is that these AI 274 00:15:56,480 --> 00:16:00,400 Speaker 1: tools are really just either copycats of Excel, like they're 275 00:16:00,440 --> 00:16:03,400 Speaker 1: sort of just like doing exactly what Excel does, or 276 00:16:03,480 --> 00:16:06,520 Speaker 1: they're just little pieces that are designed to work with Excel. 277 00:16:06,600 --> 00:16:09,840 Speaker 1: So it's like an AI assistant that will spit out 278 00:16:09,840 --> 00:16:13,000 Speaker 1: a spreadsheet, but that spreadsheet ends up being an Excel file. 279 00:16:13,280 --> 00:16:15,240 Speaker 1: But then there's an other issue with AI, which is 280 00:16:15,320 --> 00:16:18,720 Speaker 1: like AI is not great at math, like just the 281 00:16:18,920 --> 00:16:21,360 Speaker 1: like just like the most basic Excel function is like 282 00:16:21,520 --> 00:16:23,720 Speaker 1: some like add up a big long list of numbers, 283 00:16:23,800 --> 00:16:28,280 Speaker 1: and like large language models are not awesome at computation 284 00:16:28,840 --> 00:16:32,720 Speaker 1: because like they're going for approximation, not the perfect answers. 285 00:16:32,840 --> 00:16:35,400 Speaker 1: And then the other thing is AI models are really 286 00:16:35,440 --> 00:16:39,560 Speaker 1: bad at, like at telling you why they arrived at 287 00:16:39,560 --> 00:16:41,880 Speaker 1: a given answer, and that is the thing that spreadsheets 288 00:16:41,920 --> 00:16:42,840 Speaker 1: are awesome at. 289 00:16:43,560 --> 00:16:46,520 Speaker 3: And Dina says that even some of the AI products 290 00:16:46,560 --> 00:16:50,680 Speaker 3: that are aiming to replace Excel still rely on spreadsheets 291 00:16:50,720 --> 00:16:51,880 Speaker 3: to manage their data. 292 00:16:52,280 --> 00:16:54,600 Speaker 2: What people are trying to do is not reinvent the 293 00:16:54,680 --> 00:17:00,560 Speaker 2: underlying spreadsheet layer. It's you know, basically create a pilot 294 00:17:00,640 --> 00:17:03,840 Speaker 2: or an assistant that works on top of the data 295 00:17:03,840 --> 00:17:06,520 Speaker 2: in the spreadsheet and answers questions for you. Now, Microsoft 296 00:17:06,520 --> 00:17:08,760 Speaker 2: of course is trying to do the same thing with 297 00:17:08,840 --> 00:17:09,720 Speaker 2: their copilot. 298 00:17:09,960 --> 00:17:13,280 Speaker 1: And so even if you're using an AI algorithm to 299 00:17:13,359 --> 00:17:15,840 Speaker 1: generate a spreadsheet, my guess is it's gonna spit it 300 00:17:15,840 --> 00:17:18,240 Speaker 1: out and you're gonna be right back and Microsoft Excel 301 00:17:18,760 --> 00:17:21,560 Speaker 1: just like your parents and maybe even your grandparents were. 302 00:17:22,080 --> 00:17:24,840 Speaker 3: Max says there might be something deeper at play here, 303 00:17:25,280 --> 00:17:29,360 Speaker 3: something intangible that's kept people coming back to Excel year 304 00:17:29,400 --> 00:17:30,000 Speaker 3: after year. 305 00:17:30,160 --> 00:17:33,080 Speaker 1: Maybe there is something fundamental to a spreadsheet that like 306 00:17:33,119 --> 00:17:38,000 Speaker 1: we wouldn't actually want to process data in another way 307 00:17:38,040 --> 00:17:40,440 Speaker 1: that like, really, this is just like a table of numbers. 308 00:17:40,680 --> 00:17:42,639 Speaker 1: Like I said, people have been using tables of numbers 309 00:17:42,640 --> 00:17:43,560 Speaker 1: for a very long time. 310 00:17:43,720 --> 00:17:45,400 Speaker 3: Yeah, if it was good enough for mesopotagics. 311 00:17:45,640 --> 00:17:48,120 Speaker 1: Yeah, it's like it's how Steve Bamber's brain works. Maybe 312 00:17:48,119 --> 00:17:50,320 Speaker 1: it's how all of our brains work in some sense. 313 00:17:50,560 --> 00:17:54,840 Speaker 1: And like the prospect of trying to reinvent that it 314 00:17:54,880 --> 00:17:57,280 Speaker 1: doesn't make that much sense, which is why, like Dina said, 315 00:17:57,280 --> 00:18:01,280 Speaker 1: like Microsoft strategy is not to make an AI version 316 00:18:01,320 --> 00:18:04,840 Speaker 1: of Excel. It's just have like an assistant inside of Excel. 317 00:18:05,160 --> 00:18:07,159 Speaker 1: That and this is you know, barring the language that 318 00:18:07,200 --> 00:18:09,600 Speaker 1: Microsoft executives use when they talk about it, but it's 319 00:18:09,640 --> 00:18:12,000 Speaker 1: basically like they want to make you as good as 320 00:18:12,040 --> 00:18:19,240 Speaker 1: the world champion three two one, and we dine Wow, 321 00:18:19,720 --> 00:18:22,960 Speaker 1: So you watch those world champions on TV, you're really impressed, 322 00:18:22,960 --> 00:18:27,040 Speaker 1: You're thrilled. A huge congratulations to our twenty twenty five 323 00:18:27,119 --> 00:18:32,200 Speaker 1: Microsoft Excel World Champion Deer mid Early. And now you, 324 00:18:32,320 --> 00:18:35,160 Speaker 1: with the help of Copilot, can do the same kinds 325 00:18:35,200 --> 00:18:37,399 Speaker 1: of advanced modeling that they do. I don't think it's 326 00:18:37,440 --> 00:18:39,600 Speaker 1: quite there yet, but that's the that's the promise. 327 00:18:46,880 --> 00:18:49,840 Speaker 3: This is the Big Take from Bloomberg News. I'm Sarah Holder. 328 00:18:50,200 --> 00:18:52,800 Speaker 3: To get more from The Big Take and unlimited access 329 00:18:52,840 --> 00:18:56,720 Speaker 3: to all of Bloomberg dot com, subscribe today at Bloomberg 330 00:18:56,760 --> 00:19:00,760 Speaker 3: dot com slash podcast offer. Thanks for listening. We'll be 331 00:19:00,800 --> 00:19:01,320 Speaker 3: back tomorrow. 332 00:19:06,960 --> 00:19:07,280 Speaker 4: Mm hm