Boards in the Future: The Task Ahead

THIRD OF THREE POSTS BASED ON NACD PROGRAM ON BOARDS AND COMPANIES IN TODAY’S ECONOMY

  • Discussion of whether public companies, now legally required to report their financial and business condition each quarter, should rather be called upon to report every six months (President Trump recently has suggested this semi-annual practice).  Substantial disagreement.  All agreed that it is very time consuming for management and tends to emphasize short-term results as against more important long-term success.  Given the importance of the long term it was suggested that quarterly reports also misled investor.  On the other hand, one panelist noted that US securities markets are dynamic and current reporting supports that dynamic and also supports related operational disciplines; European markets are on a six-month report and their markets were characterized as less dynamic and robust.  Further, given the increased pace of change (political, geopolitical, business), six months is too long to wait for disclosures of impact of and response to change.
  • In response to a question as to whether today was the highest  point of business uncertainty, it was noted that there was a lot of noise and fast changes in policy but nonetheless and so far American companies were doing well operationally, this was nothing like the real crisis of 2008.  Further, there always are uncertainties.  Boards need to be “nimble and agile.”
  • So how can boards in fact be nimble and agile?  Today board members stay in touch with each other, between meetings, much more often than in the past, with paper going back and forth.  At meetings, old practice was a rigid agenda by topic and time allocation; today meetings are/should be based on topics which get the time they need.  Old boards were like a photograph (static) and modern meetings should be like a movie (interactive, all over the place, broad discussion).  One panelist, noting that today some questions come to the board of a highly technical or complex nature, suggested use of subject-matter experts starting board discussions to facilitate discussion of what really are the key points.

Each panelist was asked for “last words” to boards of directors:

  • The board must stay current and use AI to do that
  • Since we are in competition, watch China
  • Keep talking strategy and opportunity, don’t use five-year plans
  • Foster diverse viewpoints and zoom out in discussions and ask important questions where there are no answers

Impacts of AI on the Future of Business

SECOND OF THREE POSTS BASED ON NACD PROGRAM ON BOARDS AND COMPANIES IN TODAY’S ECONOMY

AI requires boards to act differently.  What exactly does AI accomplish for your particular business?  Boards need strong intelligence on AI, within boards or by consultants.  AI will permit boards to effect operational changes and to analyze effects of change in production equipment, software, sales and the like.  There will be a big shift to data processing use of AI.

AI in a company should not be presented as an experiment; that raises concerns that people will be replaced.  AI should be presented as a tool to be used by persons within the company. Risk: “Everyone is excited to use AI to eliminate somebody else’s job.”  Frame AI internally as a “business enabler” and not a labor replacement.

Deployment of AI must be done with great care to protect company proprietary information or it will be scooped up, read and end up public through being read and used in AI information bases.

In US industry, many manufacturing tasks are being done by older workers.  Younger people are not learning these skills; a big problem.  But some of these skills in the future will be performed differently; workers need to be trained to use AI to ultimately replace older working cadres.  New laborers will more and more use AI to fill the gap in staffing jobs given shortfall in the size of the US labor force (see first post in this series).

While companies should develop AI for use by the new generation of workers who should see  it as a tool, companies must confront the fact that some jobs, involving moving or analyzing that which is on paper, will indeed disappear.

Some countries are facing demographic atrophy, falling birth rates, aging overall population.  Any country in that position will find that AI will assist in maintaining industry; the paper side of operations will lose people who will be available for working in production in the new modality of using AI to supervise actual production.

The personal fear/backlash of the labor forces to the coming of AI may prove to be more acute in Europe, where worker councils are powerfully entrenched; progress there may be slowed thereby.

Boards should “think big” about AI, see what businesses in other industries are doing with AI, conceptualize broad use of AI in thinking about industrial production.

One panelist noted that, over the past two decades, his large US company tended to hire its intellectual workforce from outside the United States, as they found adequate skill sets in people whose salary structure was lower.  Will AI properly used in the US reverse that practice?  Will immigration policy assist in that process?

One panelist noted that in making announcements about projected business they did not include any possible improvements driven by AI.  Under questioning as to why that approach made sense given the power of AI, the reply was that the company used at this point an “auditability standard”–if you cannot see it you should not predict it. AI is used to understand current data but not used to predict profit from future deployment.  There was one panelist who questioned whether that approach was logical when being asked about your future prospects.

The discussion of AI often returned to how AI would shape the future work-force and how to ease those workplace displacements that would occur; in the future AI will be processing paper and actual production will be done by human beings who will spend time monitoring data and electronics that run on AI, rather than standing on the production floor and working with their hands. Younger people need to be trained by schooling and internship to understand how they thus can add value by use of AI.

 

 

Boards/Companies Facing Today’s World

FIRST OF THREE POSTS BASED ON NACD PROGRAM ON BOARDS AND COMPANIES IN TODAY’S ECONOMY

The world economy is moving from globalization to national focus, with government industrial policy becoming more important.  This is true in the US, Europe, and has long been true in China. Companies need to consider effect of tariffs, export controls and restricted market access.  One effect is that companies are shortening their supply chains to ensure continuity.  Moving manufacture of parts and finished product to the US, in face of tariffs and restrictions of offshore supply or parts, is changing how US businesses staff and operate.

Tariffs are going to create US inflation.  This effect, delayed to some degree by US company planning in stocking up parts and changing some sourcing of parts, will assert itself over years and current lack of huge impact is not an indicator of future inflation impact.

Current US policy will not necessarily build US industry, as intended. If a company sells overseas it may well establish production overseas to meet offshore competition in those markets.  One panelist noted, in considering US tariffs as designed to drive US industry, the effect of tariffs may not be as anticipated: “It’s tough to confirm policy to logic.”

Bring industry to the US also will require more labor and that too is a problem: we do not have enough labor, and we train people not to work in production but rather in services or in intellectual capacities.  By 2033 the US will need 3.8 million more manufacturing employees and we cannot ramp up that fast.  Our educational systems need to redefine the training needed to fill these slots. And the nature of these slots is itself changing: more tech skills will be needed even in production functions (see post hereafter on AI impact).  This is referred to as a move from blue-collar work to “new-collar work.”  The US bias in many quarters to prefer white-collar jobs to the general labor force needs readjustment. The educational response is needed by companies informing high schools, trade schools, and institutions of higher learning as to the training needs of the new economy.

The current immigration policy in face of these labor needs is of course a problem.

Finally, the US has been in a decades-long decline in industrial production and other fall-outs include lack of experience in building new large-scale production facilities.

Board Governance in Changing Times

This morning the New England chapter of National Association of Corporate Directors, in conjunction with the National organization, presented it annual “Visionaries” panel discussion, which addressed what boards (and companies) needed to be thinking about in the face of domestic and international developments and in light of advances in AI.  This is the first and introductory post covering take-aways from that meeting; its purpose is to indicate the participant senior executives and the companies they head, as providing context for their reactions and concerns.

Gary Cohen, CEO of iRobot, obviously a robotics company, based in the US.

Tamara Lundgren, Executive Chair of Radius Recycling, which recycles metals from cars and the like and is viewed as a global leader in that space.

Greg Smith, CEO of Terodyne, a semiconductor and robotics company with international operations.

Sean Keohane, CEO of Cabot Corporation, a chemical and materials company which, it should be noted, conducts 80% of its production and sales outside of the United States.

The three following posts discuss the following matters, and the discussion has been broken into topics for purposes of controlling the length of each post and to permit readers to select which topic(s) are of interest to them.  That said, there is obvious interaction among these topics and one might choose to run through all of them.

  1. What should boards and companies be thinking about given the dynamic changes in the domestic and world-wide today?
  2. What will AI change and not change, and how do people and companies learn to live with those changes?
  3. What should board in particular consider and how should they act, given the above challenges?

Independence for the Fed?

I am not expert on this subject but am posting to recommend a great article in the Weekly Economic Commentary of Northern Trust (forgive lack of direct link but you can no doubt access it via www.northerntrust.com)

Outline of key points to hopefully tweak your interest in this pretty complex issue:

The push by the Administration to tie the Fed to political policy is not new and the US Fed did not split from the Department of Treasury until 1951.  Though there are arguments for independence and though most advanced economies do have an independent national banking system, it is by no means universal.

The argument to tie the Fed to the Executive is to have the government as a whole aligned with policy set by persons named by the electorate. The argument to keep the Fed separate is that it acts as a check on economic policy, much as courts act as a check on other executive actions.

Large government deficits and inflation historically often align with banking systems tied to the executive.

A politically aligned Fed will control membership in the regional Reserve Banks, could result in parking assets supportive of an Administration’s industrial policy, could alter general approach to inflation, could effect swap lines with other central banks and thus affect ability to respond quickly to crisis situations; could track Project 2025 agenda items (eliminating the Fed’s mandate to maximize employment, consider moving to a gold or commodity-backed (eg currency) standard to back up currency).

Financial market negative reaction might harness the current Administration drive to align the Fed, although this point seems to me to be wholly fact-dependent and presently unclear.

Whether you the reader agree with the Northern Trust position in favor of independence or agrees with the thrust of the current Executive, I recommend this article as putting meat on the bones of what to me had felt just like a simple line drawn between liberal and conservative political camps.

 

SEC Liberalizing Reg D to Facilitate Investments?

SEC Regulation D controls who may invest in private companies which are conducting a general securities offering. Designed to protect people who in the SEC view should not be taking chances by investing in speculative early stage companies where there is no public market, Reg D requires as a basic starting point that permitted investors have a certain threshold of economic stability either through annual earnings or present wealth.

Current SEC Commissioners, following the general approach of the current Federal Administration, announced recently that perhaps the SEC view should change and asked  staff to explore what changes might be made to permit a wider part of the population to invest in private companies.

With that as background, on Monday of this week the SEC was sued by two persons who fell below current wealth standards, asking that those standards be eliminated as unconstitutional.  The theories of the suit are that such standards discriminate against Americans who are sophisticated but not wealthy, and (a bit farfetched) also violates the First Amendment which ensures right of free association.

Whether attacking this policy under constitutional standards is clever or inapposite remains to be seen.  However, note one clever selection of one of the plaintiffs: a woman hired to be CEO of an early-stage company falls “just” below the financial investment standards of current Reg D, and points out the anomaly of being able to run an enterprise in which she cannot invest.

Ways in which this plaintiff could be qualified to invest are obvious, suggesting some advance planning to create an appealing argument, but the policy issue being considered by the SEC even before the lawsuit was filed is a serious one: how to weight the risk of poor unsophisticated investors being sold stocks that are typically considered as inappropriate for their risk profile against the benefit of making the funding of innovative new companies potentially more successful?

Confused About VC Funding?

It is no surprise to hear that I am confused about the economy and about the state of VC funding.  Surely the confluence of certain trends roils the marketplace and the risk profile of investment: cost of money, unemployment, immigration, high market value vs risk of an AI or other bubble, import tariffs, war, climate—not a stable backdrop to encourage VC activity and indeed, particularly in Massachusetts there is great fear of fading VC activity (the most recent issue of Boston Business Journal warned of waning Massachusetts med-tech prospects).  Just today, CNN announced a reset of the estimated number of US jobs created for the year ended last March, threatening that in fact the present estimate is likely 911,000 too high and such a final revision would show the largest annual jobs revision on record.  And stock market reportage seems all over the place: new highs in US corporate earnings vs concerns based on the above-mentioned cautionary factors.

Against this backdrop, an analysis of PitchBook data by MedtechDive gives some granular insight.

First, it is stated that investment by VCs in medtech  is on a path to reach the second-highest annual level in history, bigger than all but the 2021 pre-COVID year.  Since my practice reflects a retreat from VC deals, how is that possible?

Here is my summary of the data: there are far fewer deals, deals are concentrated at the high end with established mature companies (with AI features) and are larger in size, certain sectors are “hot.”  The reason: since exits for successful companies have somewhat dried up, larger companies raise more VC money to stay afloat with a longer runway before ultimate exit.

Although not mentioned in the referenced article, seems to me that the original investors also are protecting their prior investments prior to exist by use of dry powder which I have noticed has been more systematically held back in the last few years than in certain VC boom times of the past.

The article also notes two areas garnering greatest attention: surgical tools and devices, followed by diagnostics in life sciences.

AI Litigation

Per Law 360, a service which updates attorneys on major trends in the law, the often-discussed issue of whether AI is stealing the intellectual property of others, as that property is appearing in publicly available sources, is the subject of growing and important litigation, with no clarity as to which direction the law will take.

There have been over thirty cases, all in one of Massachusetts, California, Delaware and New York.  They arise across the spectrum: some allege misuse of text, some the theft of images, some the theft of music.  Three cases have been decided; one held that a company infringed on the copyrights of Westlaw (a platform of information for attorneys) while two others found that it was fair use to use public information in training AI.  The discussion of fair use in these cases did not result in a common interpretation and, according to speculation reported in Law 360, it is expected that it will take three to five years to arrive at an understandable body of legal interpretation.  By then, some standard basis for contractual settlement of the issue as between parties may also develop.

Finally, there is an esoteric discussion as to whether this litigation really is measuring “the heart of what makes us human” as it asks a court “whether AI models can legally be used to create art that replaces human works.”  I venture to suggest that this artistically sensitive view of the issue is far less important to people who pay money to institute lawsuits than the possible economic return upon any successful legal claim.  But on one level, consider this: what is the difference between a person reading available literature and writing about the subject based on that reading, vs a machine doing exactly the same thing?

AI’s Promise and Risk–Part Two

The AI Futures Project has issued two predictions for the possible future of AI and its impact on business, geopolitics and the future of human-kind.  One assumes a rapid escalation of bad utilization of AI, and the second assumes a more measured and thoughtful evolution. Each analysis is textured and purports to be based on a wide variety of considered scenarios.  The problem is that both scenarios end up with the likelihood of a world either at war or populated by machines and not homo sapiens.

It is important to note that such an analysis follows early similar and hysterical predictions.  I can only recommend a careful reading of the very lengthy report entitled AI 2027 which can be found  at https://ai-2027.com/.  This report is as fascinating as it is frightening.  I cannot in limited space do justice to the two paths identified as our future, so let me make brief comments below.  You just should download this article and I invite your sharing your reactions, which may constitute a subsequent post (smhonig@duanemorris.com).

*Superhuman AI is coming over the next decade with impact far exceeding that of the Industrial Revolution.  Key AI leaders predict this event within the next five years.

*Jobs will be lost. Governments will be required to invent jobs for a while, but there will be no ultimate need for jobs or indeed people.  Welfare state solutions will work for a while.

*Geopolitical concerns will come to dominate.  Major powers (only US and China) will see themselves imperiled.  AI will become militarized. Interim international accommodations will be made, with the US keeping its lead and feeding China just enough tech and chips to be quiescent but behind.

*Machines will be so advanced that they can invent and make new machines.  No need for people to design or build. Machines will be produced by machines for every purpose. No need for people at all.

*War could devastate the world.  But more likely the machines will finally realize that, indeed, there is indeed no need for people, just for ubiquitous robots.  Human effort to control AI will fail as AI will protect itself from, being adept at self-protection.

*An excellent chance that humans will disappear.  Machines will make more machines and travel over the universe, populating the universe with things of the earth– it is just that such things will not be living beings.

This may be just a literary exercise, your next blockbuster movie or the future of our future generations.  But the specificity of, support for, and clarity of process leading to, these various predicted futures is stunning.  I for one have hope that I will depart this mortal coil well before this future unwinds, and I wish the same for all my heirs whom I know personally; that just leaves my gene pool at risk that AI2027 is anywhere near accurate.

Posted in AI

AI’s Promise and Risk–Part One

This first of two posts on artificial intelligence tracks a fragment of its promise, as reported in the  August 1 issue of Boston Business Journal. That article is entitled AI for Life.

Starting with Google Deep-Mind’s discovery that a protein’s structure could be deduced from its amino acid sequence, today companies of all sizes are using AI to speed the development of, and reduce the cost of, new drugs. The article notes that at this juncture most companies use AI at the start of the process to identify disease biology and to design new proteins or molecules for testing against that disease.  Combined with advancing automation technologies, industry has sped up average time to propose a preclinical drug to the 12-18 month range, as opposed to prior practice which required two to four years of effort.

Aside from wide AI use by many private companies, the Commonwealth has established facilities in Kendall Square to recruit early-stage biotech entrepreneurs who can utilize its available AI resources.

Finally, the article speculates that while early stage biotech investment has fallen from the 2022 level, biotech /AI driven deals “have started to recover,” noting however that overuse of the AI hook has begun to cause interest fatigue among some VCs.

The promise of this article, a microcosm of AI’s promise in one significant but discrete area, meets its counterpoint in a dire and exhaustive study of it societal and geopolitical risk for which see the next-following post (which is not your by-now-shopworn panicked screed but a serious and textured analysis by the AI Futures Project).

Posted in AI