Smart machines and the future of IP: What do I tell my grandchildren?

The question, as posed, is simple—how will IP practice fold into the future landscape of knowledge workers? The query arose while reading the Schumpeter column, entitled "The age of smart machines", here, that appeared in the 25 May issue of The Economist. In that column, The Economist considered how technology, in the form of smart machines, may be altering the value proposition offered by knowledge workers. The Holy Grail of knowledge, the more the better, was the ethos instilled within my generation growing up, especially from my boyhood perch in the U.S. Midwest in what has become called the "U.S. Rustbelt", as factory after factory has been shuttered and abandoned. We were hardly aware of the unique comparative advantage that the U.S. knowledge class enjoyed at that time, with rapid post-World War II redevelopment placing a premium on employing a smallish stock of educated males. As long we could use knowledge to place ourselves on the right side of the blue collar/white divide, our future seemed assured. The fate of knowledge workers seems less certain today.

Of particular interest in that regard are the comments offered in connection with the book, Race against the Machine, published by MIT Professors Erick Brynjolfson and Andrew McAfee in 2011. And so it is summarized:
"… [T]hey [Brynjolfson and McAfee] predict that many knowledge workers are in for a hard time. There is a good chance that technology may destroy more jobs than it creates. There is even greater chance that it will continue to widen inequalities. Technology is creating ever more markets in which innovators, investors and consumers—not workers—get the lion's share of the gains."
The column ends with the following warning:
"Knowledge-intensive industries will also have to rethink cherished practices. For a start, an age in which information and processing power are ubiquitous, they will have to become less like guilds, whose reflexes are to regulate supply and restrict competition, and ore like mass-market businesses, whose instinct is to maximize the customer base. Innovation will disrupt many areas of skilled work that have so far had it easy. But if we manage them well, smart machines will free us, not enslave us."
As IP professionals, what do we make of these observations? A few comments are in order.
1. We have witnessed the outsourcing of certain tasks to lower-cost environments such as India, where patent searching, patent analytics and even patent drafting enterprises are flourishing. But these developments are more the result of globalization than the rise of the smart machine. Roughly speaking, whether these tasks are being carried out in London, San Francisco or Bangalore, there is still a flesh-and-blood knowledge person is was doing at least a material part of the work. What happens when smart machines are increasingly integrated into the mix?

2. At least with respect to patent searching and analytics, two possibilities are suggested. Either the rise of the smart machine (and the growth of cloud computing) will in part neutralize the manpower cost advantage that has driven the growth of outsourcing, in which case more and more of these activities will migrate back to the developed world, or it will not. Something like this is reported to be happening in the manufacturing sphere, where some manufacturing is returning to North America from parts of Asia. Could something similar occur with respect to patent searching and analytics?

3. Patent drafting suggests a somewhat different dynamic. Here, a further comment in the column, based on research by the McKinsey Global Institute, is instructive: 
"…[B]eing spared relatively undemanding tasks will free knowledge workers to deal with more complex ones, making them more productive." 
This Kat wonders whether this will apply to patent drafting. As argued above, the outsourcing of patent drafting has been a function of globalization and the cost benefits derived from manpower resources and related inputs. This Kat does not have a good sense to what extent outsourcing is also a function of the complexity of the invention involved. Whatever the answer to that question, it still remains an open matter how the smart machine will alter the current outsourcing dynamics regarding the labor-intensive task of patent drafting.

4. For instance, will it narrow the gap that sometimes exists in language skills and direct access to the inventor(s), to the benefit of the lower cost drafting purveyors? Or will the complexity of the invention, whatever the extent to which smart machines will mechanize our lives, still confer a drafting advantage to the onshore country? Will it create a further skewed allocation, with an even smaller number of particularly complex, expensive applications remaining onshore, with all the rest outsourced? Or will there be a middle range of inventions that will be shared both onshore and outsourced, depending upon on the particular circumstances?

5. In that connection, there is also matter of the patent bar as a guild. There is a hydra-like aspect to a guild. On the one hand, it has a negative connotation, as suggested by the column, due to its restrictive and regulatory nature. On the other hand, the guild can provide the framework for assuring quality control (consider the multi-century line from the Germanic guild to the present-day German apprenticeship system). Will the smart machine lead to a change in the guild-like nature of the patent bar and, if it does, will the overall impact be positive or deleterious to the service providers and consumers of patent services?
This Kat's grandchildren (armed with their smartphones, of course) are reaching the age where they are about to ask their grandfather what he does and whether they might be interested in following in his footsteps. I wonder what I will be telling them about the future countenance of the IP profession and, especially, of patent practice.

More on the Rustbelt here.
Smart machines and the future of IP: What do I tell my grandchildren? Smart machines and the future of IP:  What do I tell my grandchildren? Reviewed by Neil Wilkof on Friday, June 07, 2013 Rating: 5


  1. I personally think that we'll be fine until the advent of machines that actually are intelligent, with the same thinking and reasoning powers of humans. Somehow I can't see that as coming to pass, although that may be a failure of imagination and foresight on my part.

    With respect to the Indians (with whom I and most other patent practitioners are eternally plagued), I'm not convinced by their efforts. They produce lots of lovely graphs, patent density maps, etc., which senior management, in its ignorance, finds deeply impressive, but which actually aren't a lot of use. They don't seem to get the point that the usual reason why there is apparently space in which to patent is that there is absolutely nothing of interest there to patent. People tend to put the cart before the horse - we tell our clients all the time, first find something useful and practical in your field, and then we'll tell you (a) whether you can do it, and (b) whether you can then monopolise it. Freedom to operate is much more important than patenting. Finding "white space" as a priority is one of life's more futile occupations.

  2. It is quite interesting to read this post. A few days ago, I was checking one patent application and caught myself on the thought that a claim amendment looked like being made by a robot. Namely,
    1) a difference in wording was found between the patent application and D1,
    2)then a claim dependency was controlled.
    This process has resulted in the claim amendment. The amendment was quite limiting but formally correct ...

    I think, machines cannot be creative, and, respectively, cannot make a progress above themselves without interference of a thinking part of "knowledge workers".

  3. "Freedom to operate is much more important than patenting. Finding "white space" as a priority is one of life's more futile occupations." - By Anon @ 13:22
    This is quite true. Being Indian, I can tell you that good patent agent firms in India do not indulge in white space, landscape etc. things, because of the obvious reasons. This is mostly done by KPO- knowledge process outsourcing companies - which are not patent agent firms and cannot practise as patent agent in India under Indian patents act.

    As to the matter of the post, I feel no machine will be as 'creative' or as 'thinking' as humans and therefore, some really knowledge intensive work like surgery, law, medicine is going to remain under control of humans. These professions may be overtaken by smart machine only if we capture all the possible permutation and combinations of human emotions, alternatives, creativity, thinking etc. of a good sample size of human population- into one truly validated mathematical model and algorithm - I mean no two patent attorneys think alike - how do you make smart machines capable of equally human ingenuity. I may be proven wrong in future but to me this is just Science Fiction. In terms of drafting by smart machines, I do not think they would be able to understand futuristic technologies - A computer which performs a prior art search in 5 seconds of getting disclosure of a non-existing technology- analysis all claims of 'closest' prior art and then tells if the work is patentable - and then drafts a patent spec- How do you programme such a machine? Can we make machine which can "sense" urgency of client or requirement of client?

    As for analytics, less said is better. All the advanced searching tools and databases, still return search results that are irrelevant, they are still not capable of purging the noise in search. We still need to go through most patent abstracts and specs before finally rejecting it or accepting it for say patentability analysis.

    In my humble opinion, you can make an automated vehicle because it is not knowledge intensive work to do. You have radars and sensors, and programme them to stay 3 feet away from all the objects nearby (just saying) they will do so. But how will these cars react in "special situations" that will be created by themselves remains to be seen.

    The Economist article had a line - "Law firms are using computers to search through masses of legal briefs and precedents." - I bet they are. but what to do of those legal briefs and precedents is best left to humans. Do you think two smart machines will reach different or same conclusion/interpretation when fed with same legal briefs and precedents? If yes, then whole purpose will be defeated. If no, then how would one explain such difference, because programming is same in both the machines (or we may have to buy different brand machines to interpret results differently)? As the other Anon stated, they would need input of knowledge workers all the time.

    I think we still have a long way to go when actual knowledge intensive work will be overtaken by smart machines or it may never happen at all. We cannot create an artificial organism smarter than us. Microbes were made smarter by genetic changes but then while producing one kind of protein, they lost onto making other kinds. I will also state that unless we combine our genetics with programming - smart machines are tech-dystopian dreams only.

    Thanks for bringing up such a wonderful topic up for discussion.
    Rahul !


All comments must be moderated by a member of the IPKat team before they appear on the blog. Comments will not be allowed if the contravene the IPKat policy that readers' comments should not be obscene or defamatory; they should not consist of ad hominem attacks on members of the blog team or other comment-posters and they should make a constructive contribution to the discussion of the post on which they purport to comment.

It is also the IPKat policy that comments should not be made completely anonymously, and users should use a consistent name or pseudonym (which should not itself be defamatory or obscene, or that of another real person), either in the "identity" field, or at the beginning of the comment. Current practice is to, however, allow a limited number of comments that contravene this policy, provided that the comment has a high degree of relevance and the comment chain does not become too difficult to follow.

Learn more here:

Powered by Blogger.