0:00 but there's no better time
0:01 than the present to jump in.
0:03 You have to get moving.
0:04 There's no miracle cure that
0:07 just wait another two years
0:08 and we'll all be done for you.
0:09 Until you go and do an AI project,
0:12 you don't understand what
0:14 it takes to do an AI project.
0:15 It's just theoretical.
0:16 As I say, I could always
0:17 tell within about 15 seconds
0:20 of starting a conversation with anyone,
0:22 whether they've really done an AI project
0:24 or just talked about
0:25 it and written about it
0:25 in a theoretical sense.
0:27 There's no substitute for doing.
0:28 You learn so much.
0:29 You learn about acquisition.
0:30 You learn about data
0:31 management pipelines.
0:32 You learn about
0:32 intellectual property protections.
0:35 It's all theoretical until you do it.
0:36 So there's no time
0:37 better than the present
0:38 because the president has
0:39 said, go out and do this.
0:40 As a government, we have to embrace this.
0:42 We have to embrace it
0:43 for our own reasons.
0:44 National security, economic
0:46 power, AI is gonna be important.
0:48 Now throw into the fact
0:49 that we have an adversary
0:50 who says clearly their intent to move
0:53 much faster with AI.
0:55 We even have less of a choice.
0:57 You have to do this for all the reasons
0:59 that we would do it anyway,
1:00 but maybe now a little
1:01 bit more sense of urgency
1:02 because when an
1:03 adversary was crystal clear
1:05 about their intent to move very fast.
1:06 On the acquisition side, you ask,
1:08 you know, what should
1:08 we be thinking about?
1:09 This is gonna sound maybe a little bit
1:10 of a different answer is a mindset.
1:15 It's a culture shift.
1:16 You just have to think
1:17 differently than any other system
1:19 you've worked with perhaps in the past
1:21 unless you were working on software.
1:23 Software is reasonably close,
1:24 but this is a different kind of software.
1:26 I'll tell you the part
1:27 where I really don't think
1:28 the government's prepared for right now.
1:29 Of all the things I could say with AI
1:31 that I believe are now going better,
1:32 much better now than
1:33 they were six years ago,
1:35 what we're not ready for in a government
1:36 is continuous
1:37 integration, continuous delivery.
1:38 If you feel an AI
1:39 model and don't update it,
1:40 don't feel that at all.
1:42 It's just gonna get worse and worse.
1:43 It will drift, it will be bad.
1:44 You have to learn how to do that.
1:46 That's not muscle memory
1:47 we've built in in the government.
1:49 Even with regular software,
1:50 you're on sort of very
1:51 standard lifecycle improvements
1:53 like Office 365 version 11.
1:55 Okay, there will be a version 12.
1:57 We'll push it out to everybody.
1:58 With AI in a conflict,
2:00 you may be looking for hours
2:02 to turn data around and
2:03 push something back out.
2:04 How do you do that?
2:05 Who does it where?
2:06 Who tests it?
2:07 You have somebody at
2:07 the unit level testing it,
2:09 who signs off on it?
2:10 I mean, these are things we're not
2:11 prepared for right now.
2:12 That may be one of the
2:13 biggest things is that,
2:14 but this mindset of
2:15 agility and adaptability
2:17 and just learning
2:18 about AI, just learn about.
2:20 I spend way too much time every morning
2:23 just catching up on
2:24 AI-related sub-stack posts
2:26 because I wanna stay as current as I can.
2:28 I don't understand everything I read.
2:30 Some of the things are very technical,
2:31 but what I'm embracing
2:32 is this is the future.
2:34 If I don't stay current on this,
2:36 the future passes me
2:37 by in about 24 hours.
2:38 That's how fast it
2:39 feels like it's changing.
2:40 And it can be a little daunting
2:41 if I'm an acquisition
2:42 official and I'm young
2:43 and I've never done this before.
2:44 So I'll go young and old.
2:45 Young, never done this before,
2:47 but I'm also kind of a digital native.
2:48 So jump in there.
2:49 Yeah, it's different.
2:51 There are a lot of rules.
2:52 Somebody's gonna have
2:52 to make me understand
2:54 where my boundaries are.
2:55 That's okay.
2:56 Old, no, don't wanna do it.
2:58 Wanna go back to the old way.
2:59 This is too hard.
3:00 I'm gonna get myself in trouble.
3:01 I don't wanna embrace this.
3:03 Somewhere in there it
3:03 has to be a leap of faith.
3:05 Like we're in.
3:06 The future depends on
3:07 us getting this right.
3:10 Now, here's the wake-up call.
3:12 The AI race is on.
3:14 Our adversaries are not idle.
3:17 They're investing heavily,
3:18 breaking barriers and pushing boundaries
3:21 to gain an AI advantage.
3:24 This isn't a hypothetical threat.
3:26 It's happening right now
3:27 and the stakes couldn't be higher.
3:29 If we fall behind in this race,
3:31 the consequences for
3:32 our national security
3:34 and global stability
3:35 could be catastrophic.
3:37 It's not enough just
3:39 to recognize the risks.
3:41 The US government must
3:42 face the reality head on
3:44 and it all comes down to you,
3:46 the government acquisition professional.
3:49 So why does it all come down to you?
3:51 Well, because success lies in our ability
3:54 to effectively buy,
3:56 deliver and adopt AI at speed.
3:59 And this is an acquisition challenge
4:02 which brings new and unique aspects
4:04 to traditional acquisition and
4:05 contracting techniques,
4:07 rules and processes.
4:10 In this first learning objective,
4:12 we will talk about how
4:13 AI will shape our future.
4:15 You'll learn about
4:16 general purpose technologies
4:17 like electricity and the internet
4:20 and how AI is the next
4:21 general purpose technology.
4:23 Then we'll spend a
4:24 little time looking back
4:25 at the history of AI.
4:28 And finally, we'll talk
4:29 about the relationship
4:30 between the US government
4:32 and artificial intelligence.
4:34 So let's start with the first question.
4:37 How will AI shape our future?
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