I’m really looking forward to an Artificial Intelligence (AI) – enhanced future. No, not the one where skeletal androids hunt down desperate enclaves of nuclear war survivors. I’m looking forward to a future where a goodly percentage of the management sciences precepts that have populated college-level textbooks and have been informing countless business model formations are subjected to millions upon millions of simulated transactions in a virtual free-market environment, and shown to be either valid… or not. Certainly the creation of such a free-market environment model that captures most of the necessary parameters and process representations would be a huge leap forward (note that I did not say “captures all of the necessary parameters.” That’s impossible.). But at some point a reliably scalable model will either be developed, or discovered already in-place somewhere, modified for a specific industry, locale, or business environment, and the simulations will begin showing which parts of the management sciences are reliable, suited for use in the real world, and which are, shall we say, sub-optimal (cough, risk management, cough).
Last month in this blog I discussed some of the limitations of AI that would prevent it from, well, creating a dystopian future where skeletal androids hunt down desperate enclaves of nuclear war survivors (https://www.projectmanagement.com/blog-post/75600/how-to-know-if-your-ai-assisted-pm-software-is-getting-ready-to-take-over-the-world). Central to this notion is the fact that AI can’t randomly create a strategy and simulate its execution if that strategy is not a possibility in the first place. Your hexapawn robot can’t generate a take-over-the-world strategy if that isn’t a legal move in hexapawn (spoiler alert! It isn’t.). GTIM Nation will recall my observation that there are three distinct types of management, each with its own goals, methods, and information systems:
- Asset Management, dedicated to “maximizing shareholder wealth,”
- Strategic Management, oriented towards maximizing market share with respect to the competing organizations in the field, and
- Project Management, whose goal is to meet (or exceed) the customer-specified parameters of scope, cost, and schedule.
Of these, Strategic Management is probably the most wide-open. Sure, there are regulations on what one can or cannot say in a television or radio commercial, but the decision of where to spend your advertising or hostile takeover dollars is largely up to the organization itself. The Marketer’s Bible: Your Guide To Marketing, Sales, Influence & Persuasion, Public Relations and Internet Marketing, by Richard C. Wilson, is 654 pages, and, based on the title alone, sounds like it's at least somewhat comprehensive. I’m pretty sure it does not have the force of law behind it. You can buy it and use its insights, or choose not to. It’s entirely up to you.
Similarly, the PMBOK Guide®, at just 250 pages (Seventh Edition), which Amazon says is #1 in Business and Finance[i], also does not have the rule of law behind it. Sure, the PMP® recert committee might look at you sideways if you are known to be in blatant violation of it, resulting in your project coming in way late and over budget, but it’s not like PMI® has an enforcement arm looking for such things (at least not that I’m aware of).
Generally Accepted Accounting Principles (GAAP), and its overseas counterpart the International Financial Reporting Standards, are entirely different critters. I tried to do an internet search on the size of the GAAP, and came up dry, but I’m fairly confident that the page count of its combined codex is wayyyy more than the PMBOK Guide® and The Marketer’s Bible combined. Not only that, but, in many instances, GAAP absolutely does have the force of law behind it. The accountant who sets up his organization’s chart of accounts in clear violation of GAAP is risking real legal trouble.
It's due to this reason that, while AI may have a profound effect on Project and Strategic Management, I would expect its impact on Asset Management to be rather muted. The GAAP codex is so massive and fixed that I would be very surprised if there were that many opportunities for even the creation of multiple various asset management strategies within GAAP’s confines to be tested for efficacy in millions of simulations. Indeed, the opposite may be true: due to the Asset Managers’ dubious ability to precisely value an investment when employing the Return-on-Investment formula, AI may actually increase the odds of returning a recommended strategy that would hinder the organization’s ability to advance in either PM or Strategic Management.
As an additional bonus, since the Asset Managers’ approach tends to dominate college-level business scholarship, AI-led advances in Project and Strategic Management may cause the gap between what’s taught in business schools and what works in the real world to grow – think Rodney Dangerfield’s character Thornton Melon in the movie Back To School. And when it does, it should be something to behold.
That’s why I’m looking forward to it.
[i] Retrieved from https://www.amazon.com/Guide-Project-Management-Knowledge-PMBOK%C2%AE/dp/1628256648/ref=asc_df_1628256648&mcid=356fda33ffbb3b53b427853a04ccc3fa?tag=bngsmtphsnus-20&linkCode=df0&hvadid=80264466333902&hvnetw=s&hvqmt=e&hvbmt=be&hvdev=c&hvlocint=&hvlocphy=&hvtargid=pla-4583863992928250&psc=1 on December 10, 2023, 10:08 MST.
Community Champion
