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Monthly Archives: January 2020
Artificial intelligence and the future of rep visits – – pharmaphorum
Posted: January 18, 2020 at 11:20 am
As access to healthcare professionals (HCPs) declines, the challenges facing sales representatives continue to increase: less time with HCPs, Sunshine Act restrictions, and integration of practices into larger health systems. It can be daunting.
Once, influence was based on interactions between reps and HCPs more than just about anything else. But today, influence is spread across a variety of touch points, many digital, which can be accessed by an HCP at any time and place. To reinforce their value, sales reps are expected to have deep knowledge of the market and their customers, so that they can tailor their interactions to the unique needs of each.
How can todays rep succeed? Its all about data.
Data gathered judiciously, digested accurately, analysed rapidly, and used wisely makes the sales force more efficient and productive. This concept is nothing new: it dates back to the beginnings of CRM in the 20th century.
But todays digital world offers new possibilities, enabling connections and predictions that yesterdays rep never even dreamed of.
What if reps could anticipate relevance?
By combining the best in industry expertise, brand strategy, CRM technology, and artificial intelligence (AI) and machine learning, reps can have the tools to make anticipated relevance possible.
At a recent Digital Health Coalition Midwest Summit, Intouch demonstrated examples of what this could look like for a brand, using their AI assistant, EVA, which is short for embedded virtual assistant.
How does it work?
EVA connects with Veeva to access a reps calendar of appointments to obtain information about where they need to go and who they need to see. Combined with marketing segmentation, EVA tells a sales rep the segmentation of todays calls. Data further informs the conversation with helpful facts like script-writing history, marketing plan, prior messages presented, and online activity, giving our rep a prediction of what their next best actions should be. These suggestions can be offered through the voice assistant, or sent by text or email for later reference, and can power the flow of the in-office detail. After the call, EVA can help a rep record a call quickly and easily in the CRM system.
An AI-powered ecosystem makes sure no pertinent data goes to waste. Whether its an email open, a website visit, a rep conversation, a script, or any other activity, the rep can quickly and easily understand what their HCP cares about and what information will be most helpful to their practice.
By anticipating relevance, the rep can provide an HCP with information thats useful to them, in the format, time, and place that helps them most. And EVA is able to use the most relevant assets efficiently and minimise the burden of administrative tasks. Time is used wisely on both sides, making it possible for the right information to help patients that much sooner.
Want to learn more about AI and modern pharma marketing? Download Intouchs comprehensive ebook.
Interested in learning how AI can work for your reps? Reach out to the Intouch team today.
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Dont set it and forget it: Artificial intelligences role in media buying is taking shape – Digiday
Posted: at 11:20 am
The reality of artificial intelligences role in media buying may be turning out very different from the dream.
Automation and AI could be used, so the theory went, for forecasting, analyzing data and ultimately improving campaign performance, so that marketers could change and reallocate budgets quickly. But despite advancements being made, AIs adoption for media buying is ending up with slightly different use cases.
The AI is there, said Jason Harrison, CEO of North America for WPPs Essence. Youre just not seeing it in the ways you would have expected.
The expectation was that AIs use for media buying otherwise known as automated decision-making would enable machines to tap data about specific audiences so as to create automated campaigns across different digital channels. And this would enable agencies to stop worrying about the minute details of media planning and buying so they could instead spend more time on strategic work and insight delivery for their clients. But so far, that hasnt been the case, as AI has led media buyers, as previously reported by Digiday, to spend added time on campaign reporting and the more difficult aspects of the job.
And AIs role in media buying hasnt been nearly as sexy as pitched: While media agencies have been able to use AI to automate campaigns (mostly for paid search advertising), it has been delivering better targeted audiences for the same amount of money as marketers previously spent and clarifying the gaps in a media plan rather than handling all the minute details.
AIs use for media buying hasnt lived up to the dream for a few reasons. For one, the effects of AIs use on media buying are generally still found in a biddable, programmatic environment where marketers have come to expect automation. And agencies, marketers and platform providers are all still testing the best ways to use AI for media buying. Without a set of standards in place, it difficult to compare marketers use of AI for media buying.
Outside of the current state of programmatic, adoption of AI isnt widespread in a systemic and systematic way across the industry, wrote William Restrepo, svp of business intelligence for Publicis Media, in an email. Different agencies and different vendors (and vendor types) are still in a trial-and-error phase determining what works and doesnt work for them.
At the same time, Facebook and Google have made advancements in the AI media buying capabilities for their platforms, making it appealing for marketers to use those platforms AI rather than continuing to build out their own.
An exclusive, inside look at whats actually happening in the video industry, including original reporting, analysis of important stories and interviews with interesting executives and other newsmakers.
At least, that has been case for Orangetheory Fitness. Just slightly more than two years ago, the high-end gym chainlaunched its own AI platform, enabling the company to slice its cost per lead from $20 to $8 and end up with better leads. With those results, the chain quadrupled its media spend and focused most of those dollars on AI. But although the company once was bullish about its own AI platform, Orangetheory has since pulled the plug on it, opting instead to have its internal teams and its media agency, the Tombras Group, manage more of its media buying and planning decisions.
We were heavily relying our digital media efforts on AI two years ago, said Tammie DeGrasse-Cabrera, the global marketing director for Orangetheory Fitness. Weve shifted back and really made sure the humans on our team, [those on] our media agency, are really doing that for us. Were also using AI thats already being developed in media platforms like Facebook and Google and connecting that and marrying that to the art and science of media buying, she added.
Orangetheory Fitnesss AI journey might be a microcosm of what midlevel marketers have been experiencing when using AI for media buying. Now that Facebooks and Googles AI for media buying has become more advanced, relying on those platforms has become attractive for marketers rather than spending significant resources on building out their own. Thats especially true at this point since the promise that AI would making the job of media buying simpler has not come to fruition.
But thats not the case for larger marketers with the resources to build their own AI solution, according to media executives; they said that major marketers are still vying for custom solutions that tap AI for media buying across a variety of platforms.
We rely on automation, but we dont set it and forget it, said Doug Rozen, chief media officer for 360i, who noted that his company has made significant advancements in use of AI for media buying over the last six months although work still remains. Its the human and the robot working together almost like sometimes the automation is taking a blunt object to something thats more nuanced than just applying the overall algorithmic automation to it.
When it comes to AIs use for media buying, the complexity of whats being accomplished is at times difficult to convey to marketers. And for someone not using the platforms each day, its easy to miss the ways that AI is already changing media buying in a biddable environment. Publishers and platform providers have done a good job of externalizing the technology and interfaces to make it easy for someone to place a media buy and enter constraints, Harrison said. It becomes akin to indicating this is how much Im willing to pay; these are my bid thresholds; this is the outcome I expect; heres how much I have to spend and hitting go, he said.
Added Harrison: Behind the scenes, the work of those platforms has gotten a lot smarter; and the return, the value that advertisers get for that money, is a lot more because in theory its being targeted to the right people; its more precise and all of that is powered by AI decisioning. He said, Its not fair to [say] it hasnt gone anywhere. It has. Youre just not as explicitly seeing it.
As Luke Lambert, OMD USAs head of programmatic advertising, observed, What were really seeing is not the change in output that we were always dreaming about, that we thought AI would produce for us. He added, Instead, its taught us that theres a better way of doing things before we even give the AI a dollar to spend, which is a positive thing. Its a good thing to find process efficiencies. We just expected them to be on the other side.
Even though AIs use for media buying has not to date delivered quite what was expected, media executives are still bullish on its potential and the need for marketers to enlist it. Weve really only scratched the surface, Harrison said. The more complexity you have in the media ecosystem with the number of players, platforms and opportunities, [and] the more complexity you have in the content ecosystem, with options in the way people consume and see content, the harder it is to train machines to anticipate where the next best impression should go. He added, Thats really the challenge now to build AI that can accommodate and contemplate all of that complexity.
And despite the challenges associated with contending with all that complexity, he said, the need for AI to help media buyers manage those players, platforms and channels is clear. Humans are not going to be able to do that decision game much longer and arguably were doing it at a suboptimal way today, Harrison said. The sooner we build AI to do that job the better marketers outcomes will be.
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The global artificial intelligence (AI) in BFSI market was valued at $17,765.2 million in 2018 and is expected to reach $247,366.7 million by 2026,…
Posted: at 11:20 am
Artificial Intelligence in BFSI Market by Offerings (Hardware, Software, and Services), Solution (Chatbots, Fraud Detection & Prevention, Anti-Money Laundering, Customer Relationship Management, Data Analytics & Prediction, and Others), Technology (Deep Learning, Querying Method, Natural Language Processing, and Context Aware Processing) : Global Opportunity Analysis and Industry Forecast, 20192026
New York, Jan. 16, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence in BFSI Market by Offerings, Solution, Technology : Global Opportunity Analysis and Industry Forecast, 20192026" - https://www.reportlinker.com/p05836997/?utm_source=GNW
The global artificial intelligence (AI) in BFSI market was valued at $17,765.2 million in 2018 and is expected to reach $247,366.7 million by 2026, registering a CAGR of 38.0% from 2019 to 2026. Artificial intelligence is the recreation of human intelligence that perform tasks like humans. In financial institutions and other major finance industries, AI has become a core adaption and is expected to change the overall scenario of product and service offerings. For instance, insurance companies are improving risk models to maintain customer loyalty and client satisfaction with the help of advanced AI technological platforms.
Various fraud detection, risk mitigation, back-end office works with thousands of people processing customer requests are improved with the help of AI enabled technologies such as chatbots, machine learning, and other such technologies, which boosts the growth of the market. In addition, the reduction in the tendency of human errors by automation of backend processes and enhancement in proactive customer experience is expected to drive the growth of the AI in the BFSI market. However, rise in security concerns, inadequacy of trust while issuing customer data, and higher cost for implementation of AI technologies is expected to restrain the market growth. New entrants like FinTech (Financial Technology) with advance features in the market, new initiatives in government regulations, and existing traditional banking system provides lucrative opportunities for the market growth.
The global artificial intelligence (AI) in BFSI market is segmented on the basis of offerings, solution, technology, and region. On the basis of offerings, it is segmented into hardware, software, and services. By service providers, it is segmented into chatbots, fraud detection & prevention, anti-money laundering, customer relationship management, data analytics & prediction, and others. By technology, it is classified into deep learning, querying method, natural language processing, and context aware processing. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
KEY BENEFITS FOR STAKEHOLDERS ? The study provides an in-depth analysis of the global artificial intelligence (AI) in BFSI market along with the current trends and future estimations to elucidate the imminent investment pockets. ? Comprehensive analysis of the factors that drive and restrict the market growth is provided in the report. ? Comprehensive quantitative analysis of the industry from 2019 to 2026 is provided to enable the stakeholders to capitalize on the prevailing market opportunities. ? Extensive analysis of the key segments of the industry helps in understanding the offerings, solution, and technology across the globe. ? Key market players and their strategies have been analyzed to understand the competitive outlook of the market.
KEY MARKET SEGMENTS By Offerings o Hardware o Software o Services By Solution o Chatbots o Fraud Detection & Prevention o Anti-Money Laundering o Customer Relationship Management o Data Analytics & Prediction o Others By Technology o Deep Learning o Querying Method o Natural Language Processing o Context Aware Processing By Region o North America U.S. Canada Mexico o Europe o UK o Germany o France o Rest of Europe o Asia-Pacific o Japan o India o China o Australia o Rest of Asia-Pacific o LAMEA o Middle East o Latin America o Africa
KEY PLAYERS PROFILED Alphabet Inc. (Google) Baidu, Inc. Inbenta Technologies, Inc. Intel Corporation International Business Machines Corporation (IBM) Microsoft Corporation Oracle Corporation Palantir Technologies Inc. SAP SE salesforce.com, inc.
The other players in the market include (profiles not included in the report) the following: Lexalytics Inc. Digital Reasoning Inc. Interaction LLC, Inc. Ipsoft Inc. Zest FinanceRead the full report: https://www.reportlinker.com/p05836997/?utm_source=GNW
About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.
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Revolutionizing IoT Through AI: Why Theyre Perfect Together – IoT For All
Posted: at 11:20 am
The IoT global market revenue will reach approximately USD 1.1 trillion by 2025, predicts IDC.
IDC also says that the global IoT connections will rise with a 17 percent Compound Annual Growth Rate (CAGR) from 7 billion to 25 billion between the years 2017 to 2025.
Back in 2018, Sophia a humanoid robot performed a duet with Jimmy Fallon at his show. This performance left the audience awestruck. The entire world was spellbound of how Sophia (humanoid robot) could showcase human emotion while performing the song.
David Hanson, an American roboticist, who is the founder and Chief Executive Officer of Hanson Robotics, not only invented AI that could mirror human intelligence but also enabled it to show human emotion.
A major breakthrough in the technology world.
Well, this is just a teaser of whats coming for us.
While were here sitting in an era where science fiction is a popular genre of books has already engulfed how AI will be seen at the forefront were already living in the future thats beyond AI.
With leaps and bounds in the tech industry, AI holds a lot more in the technology world. Combining it with IoT has only further enhanced the usage of both the technologies. While IoT enables connecting two or more sensors, platforms, objects or networks to enable data transmission for several applications, AI offers the capability of analyzing the most critical information easily providing valuable insights and making highly informed decisions.
This simply means that smart AI experts will get the opportunity to bring in new IoT-enabled solutions to life.
IoT is described as the network of physical objects. For instance, these can be things that can be embedded with technologies, software or sensors that further helps in connecting or the exchange of data with other devices or systems via the internet or vice versa.
Now, these devices could be a simple ordinary household object or even sophisticated industrial tools.
There are over 8.3 billion IoT devices connected today. The growth further projects to grow to 10 billion by next year (2020) and 22 billion in 2025.
If youre wondering how AI is being used with IoT, here are a few perfect examples for you to understand.
Created by Alibaba Cloud, ET City Brain is an AI platform solution which helps in optimizing the usage of public urban resources. This has been successfully implemented in Hangzhou, China that led to a decrease in traffic by 15 percent.
The ET City Brain not only helped detect road accidents and illegal parking but also helps ambulances reach their destinations by changing the traffic signals.
Youve probably heard of the classroom monitoring system. Although this has raised certain controversy, a high school in Hangzhou, China is already making use of this system.
This camera scans the room once per 30 seconds. The algorithm is then able to determine the emotions of the student (sad, happy, angry or bored, etc.) along with their behavior such as writing, reading or raising their hand.
According to the Vice-principal of the school, its said that the system is managed locally and the behavior is focused on the entire class and not a single individual.
The data gathered is through cameras and the next step which is the image recognition step is done at the local servers.
The Tesla autopilot system enables GPS, sonars, cameras and forward-looking radars, in combination with specialized hardware, through which data can be fully utilized and coupled into Neural Network Architectures. This works like a self-enclosed system that gathers information from the sensors and further uses the Neural Network model that determines the next change in the movement of the car.
Dearth for talent and lack of expertise in the IoT market reveals the upsurge for AI professionals AI specialists and AI engineers.
AI and IoT are inseparable. The entire idea of artificial intelligence is to capture more actionable data from IoT devices.
The Internet of Things is already disrupting various industries impacting human lives in several ways.
Precisely, AI is more about making machines put in intelligent behavior. Whilst, the function of IoT is to make these machines connect. The reciprocal behavior of both these technologies manifests itself in forms that cannot be comprehended.
Thus, AI experts will play a significant role in the unprecedented growth of the IoT era.
Although the disruption of these technologies will not happen overnight, its already indubitably arriving at a much faster pace than expected.
Artificial Intelligence and IoT cannot be ignored anymore!
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Revolutionizing IoT Through AI: Why Theyre Perfect Together - IoT For All
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It’s 2020 Stop Confusing Cognitive Automation With Artificial Intelligence – Analytics India Magazine
Posted: at 11:20 am
Artificial intelligence has revolutionised every piece of technology it has touched. However, this augmentation for better or worse has also brought up a lot of confusion. With more and more AI application coming up in different fields, specifically in automation like Cognitive Automation, the conditions associated with it give the impression that the technology is artificially intelligent and seems to dilute the real meaning behind it. This poses a more significant problem as what qualifies as a mere application of AI can be called artificial intelligence.
When we talk about automation and AI, there is a lot of buzz around cognitive automation as it uses technology to mimic human behaviour and precisely the reason why some people call it as cognitive automation artificial intelligence.
Artificial Intelligence Vs Cognitive Automation
If one had to define artificial intelligence regarding computing, then it can be defined as the area of computer science that focuses on the creating intelligent machines that work and interact like humans with each other or with living beings. Some activities include speech recognition, learning, among others. When it comes to AI creating intelligent machines that work like humans is what one has to keep in mind from the definition. The creation process depicts the intelligence part of the device.
For example, AI in healthcare has had many applications over the years. Now, if a doctor wants to take the help of an AI, then during a particular procedure, intelligence comes into play when AI suggests which course of action to choose based on its analysis.
Intelligence, especially artificial intelligence, requires a lot of information to carry out its analysis about a process.
On the other hand, cognitive automation mimics quantitative human judgement or augments human intelligence. In short, cognitive automation imitates human thinking. If you look at the technologies in cognitive automation like natural language processing, image processing and contextual analysis all are more profound concepts of perceptions and judgements and are heavily influenced by AI.
If one looks at the cognitive applications, it becomes evident that the automation happens via hardcoded human-generated rules or through dense inputs.
According to Franois Chollet, creator of the neural network library, Keras, Automation is, at best, robustly handling known unknowns over known tasks, which is already incredibly difficult and resource-intensive in the real world whether engineering or data.
Therefore, when it comes to automation, it can only work if it is made aware of the unknowns. Working with the unknown entirely on itself will only result in the failure when it comes to automation. For instance, in the healthcare sector, doctors do take the help of AI for deciding the course of action based on the suggestions made by the intelligent system. However, when it comes to automation, this technology is only here to enhance the doctors practice and not independently run any analysis.
Cognitive automation learns through different unstructured data and connects to creating tags, annotations and other metadata. Cognitive automation tries to find similarities between items to specific processes. It seeks to identify the mentioned items in the process and then searches for similar ones in order to connect them.
To carry out a process by an automation system requires data. And, once enough information has been provided during the automation process, there is no requirement for humans to build an additional model to carry out the analysis further. As the new data set is provided, the automation makes more connections with the old one, which allows the cognitive automation systems to keep learning without any supervision and can continuously adjust to the new information.
Whereas for AI it carries out its analysis after been given a different data set at the expense of a massive amount of information which has been fed to the system. This information/data is more than the required data for cognitive automation.
In the current scenario, when one reads about the cognitive applications, the process and its workings might be similar to artificial intelligence, and thus creating confusion between the two. This happens because ultimately, cognitive automation is an application of artificial intelligence itself, which is just a little less intelligent. Cognitive automation doesnt deal with the unknowns of a process or the real-world problems, and it can only work through them if there is data fed to it in.
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Evolving Relationship Between Artificial Intelligence and Big Data – ReadWrite
Posted: at 11:20 am
Find the evolving relationship between big data and artificial intelligence. The growing popularity of these technologies offers engaging audience experience. It encourages newcomers to come up with an outstanding plan.
AI and Big Data help you transform your idea into substance. It helps you make full use of visuals, graphs, and multimedia to give your targeted audience with a great experience. According toMarkets And Markets, the worldwide market for AI in accounting assumed to grow. As a result, growth from $666 million in 2019 to $4,791 million by 2024.
The critical component of delivering an outstanding pitch is taking a step further with an incredible plan of assuring success. Big data and Artificial intelligence help you contribute to multiple industries bringing an effective plan. It can directly speak to investors and your targeted audience, covering essential aspects and representing your idea in a nutshell.
According to Techjury, The big data analytics market is set to reach $103 billion by 2023, and in 2019, the big data market is expected to grow by 20%.
From transformation to the phenomenal growth AI and Big data provide you with the accessibility of relevant information. Big data holds the data from multiple sources like social media platforms, search data, and others, which can be structured or unstructured. While artificial intelligence is intelligence demonstrated by machines with the rise of natural intelligence displayed by humans.
The most exciting thing for anyone to do is to identify the problem. So to know what prevents people from reaching their goal. From the product or service you wish to obtain the targeted audiences attention, it must solve the problem of the potential customers. There can be any problem from simple to complicated for which customers need a solution.
For every problem, there is a solution. Once you have understood the problem and willing to bring change, you can clearly solve the problem in the most defined ways. Artificial intelligence is a true reflection of technology advancement. With big data, you can make full use of vital information extracting the information you need.
For every problem, there is a solution. Once you have understood the problem and willing to bring change, you can clearly solve the problem in the most defined ways. Artificial intelligence is a true reflection of technology advancement. With big data, you can make full use of vital information extracting the information you need.
One can come with accurate solutions using AI and big data. It helps in introducing a low error rate compared to humans if appropriately coded. The AI takes the decision based on data and a set of algorithms, which decreases the chance of error. Big data and AI, when used together, can really help you solve the problem by answering the potential issues and bringing an effective solution.
To solve any kind of problem, one must know about the potential market. Divide your target market into segments from whom you expect to get a positive response. It helps you do what you need to. These advanced technologies have a strong foundation with outstanding capabilities to capture the potential market. One must learn and apply these technologies to get a better result in transforming the overall experience of customers.
Capturing the target audiences attention is as important as solving the problem. Once you know how big is your potential market is, and what your target audience wants, you can use these advanced technologies to pitch and get the desired result. That is only possible if you use your segment creatively and consider creating your own identity for targeting your customer while working on your business plan.
Every industry has its own competition with a particular set of competitors. One must invest in something that can really help people and bring the best solution for them with beneficial results and stand out in the real competition.
To stay in the market and promote your service, one must invest in providing customers with alternative solutions. These AI solutions can help you increase your customer base. Give your customers the reason to choose your solution over someone elses. That reason will be the identity that you will create in the market. Build a unique solution that can help you focus on growing your business and stay ahead in the competition.
Mark your presence in the market, accomplishing specific goals that you desire to achieve and have already accomplished. Make your business a reality setting realistic goals and perform better and notable milestones to achieve greater success. The core essence of running a smooth business and getting all that you desire is accomplishing set milestones.
Accomplishing set milestones can really help you get desired results and gain positive support from the trusted and reliable model. By doing this, you can strategies your small business plan with changing times and market demand. Gain an ideal position in the market with better results and in-depth data.
Achieving a milestone can be a tough task. However, with AI & Big data, it has become possible to get predictive analysis for better results and position of control. Consider all the options that make you stand out in the competition and help you grow your business.
AI can help you analyze consumer data patterns. It can predict what users would like to pay for with the help of big data. Both these technologies are compelling to present and provides a useful result that can boost your sales and increase business revenue.
Nitin Garg is the CEO and Co-founder of BR Softech Mobile App Development Company. Likes to share his opinions on IT industry via blogs. His interest is to write on the latest and advanced IT technologies which include IoT, VR & AR app development, web, and app development services.
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Tyler Cowen on "State Capacity Libertarianism" I: Is it the Wave of the "Smart" Libertarian Future? – Reason
Posted: at 11:19 am
In a much-discussed recent blog post, economist Tyler Cowen advocates what he calls "state capacity libertarianism" (which I will call "SCL" for short). He makes two claims: that "state capacity libertarianism" is the view that "the smart classical liberals and libertarians" are already moving towards even as traditional libertarianism is in decline, and that SCL is the right world-view for libertarians to adopt.
Tyler's mini-manifesto has already attracted insightful responses from David Henderson, John McGinnis, Vincent Geloso and Alex Salter, Nick Gillespie, Henry Olsen of the Washington Post, and John Cochrane. But I think there is more to be said.
In particular, it's important to emphasize that Tyler's normative argument is distinct from his positive claim about what libertarians are actually doing. One can be right even if the other is wrong.
Although I'm a big fan of Tyler's work, I am skeptical about both the normative and the positive aspects of his case for SCL. This post takes up the positive issue. I will cover the normative one in a subsequent piece.
Here's Tyler's positive analysis of where libertarians have been headed over the last few years:
Having tracked the libertarian "movement" for much of my life, I believe it is now pretty much hollowed out, at least in terms of flow. One branch split off into Ron Paul-ism and less savory alt right directions, and another, more establishment branch remains out there in force but not really commanding new adherents. For another, smart people are on the internet, and the internet seems to encourage synthetic and eclectic views, at least among the smart and curious. Unlike the mass culture of the 1970s, it does not tend to breed "capital L Libertarianism." On top of all that, the out-migration from narrowly libertarian views has been severe, most of all from educated women.
Along the way, I believe the smart classical liberals and libertarians have, as if guided by an invisible hand, evolved into a view that I dub with the entirely non-sticky name of State Capacity Libertarianism."
Tyler's definition of state capacity libertarianism is not a simple one. But, in so far as it differs from previous versions of libertarianism, largely boils down to a focus on expanding and improving the quality of government, including performing at least some substantial range of functions that most libertarians have traditionally argued should be left to the private sector.
Both the claim that there is an outmigration from libertarianism and the claim that "smart" libertarians are turning towards SCL strike me as wrong, or at least unsupported by the available evidence. Here's why:
I. Is there an Outmigration from Libertarianism?
Has libertarianism experienced a large outmigration of "alt right directions?" We can certainly find examples of notorious alt rightists who used to be (or at least used to claim to be) libertarians. But none of them were actually at all prominent within the libertarian movement, and there is no indication they are a large group of people (even relative to the total number of libertarians out there).
It is also fair to point out that there have long been some libertarian-leaning people who are sympathetic to various of right-wing nationalism and have tried to make alliances in that quarter. But this is not a new problem, and such people have long been condemned by the majority of the libertarian intellectual community. The issue actually came to public prominence in 2008 and 2012 during the controversy over Ron Paul's 1990s racist newsletters, at which time numerous prominent libertarians condemned them.
The genuinely prominent defectors from libertarianism in recent years, have actually gone not to the right, but to the center and left. The most notable are probably Jerry Taylor, Will Wilkinson, and some of their associates at the Niskanen Center. I took issue with Taylor's rejection of "ideology" here, and Wilkinson's views on democracy and libertarianism here and here. Taylor and Wilkinson are important figures, and we should take their critiques of libertarianism seriously (as I have tried to do). But, so far at least, their shift has not triggered a more general exodus from libertarianism.
Various measures of the number of libertarian-leaning voters in the general public show that their numbers are roughly the same as they were 15-20 years ago (somewhere between 8 and 20 percent, depending on which measures you use). The number of self-conscious, rigorously consistent libertarians is surely much smaller. But the same can be said for adherents of other ideologies. Many studies show that most voters don't take a carefully consistent and rigorous approach to political ideology, and often don't even understand the basics of those world-views.
I don't know of a good measure of the number of libertarians in the intellectual word, such as in academia or policy analysis. Quantitative studies of academic ideology (at least those I am familiar with) fail to differentiate libertarians from other non-left scholars. But my admittedly anecdotal impression is that the percentage is at least as high as a decade or two ago, and perhaps modestly higher. In my own academic field (law), there are more libertarians now than when I started my career in 2003.
Finally, I see no evidence that there has been a "severe" outmigration by "highly educated women." There is no doubt that self-identified libertarians are disproportionately male, and this is a problem for the movement (by contrast libertarians are much more racially and ethnically diverse than many think). But this is not a new problem, and has not gotten worse in recent years than it was before.
If anything, the percentage of women among younger libertarian intellectuals strikes me as higher than that in my own generation and those that came before. This is another point on which we lack systematic data, so I could be wrong. But the percentage of women in groups such as Students For Liberty (I have spoken at several of their conferences) is much higher than that in libertarian groups I saw when I was a student in the 1990s. Ditto for the percentage of women among younger libertarian academics in law, economics, and political science (the fields I am most familiar with).
It's also worth noting that virtually all the prominent defectors from libertarianism in recent years have been men, not women (Taylor and Wilkinson are, again, notable examples). Though, in fairness, that's in substantial part because there were more men in the initial population.
Perhaps Tyler's claim of an exodus can be defended on the ground that it only applies to "narrow" libertarianism, as he puts it. Much depends on what counts, as "narrow." But if that term means categorically rejecting all government intervention beyond the most strictly defined minimal state or endorsing absolute property rights that can never be overcome by any other considerations, then most libertarian thinkers already rejected those views a decade or two ago. That was certainly true of nearly all who were at that time prominent in the academic and intellectual worlds. Perhaps even more have rejected that position since then. But if so, it's not a major trend.
It is, I think, more useful to define libertarianism as the ideology that has a very strong presumption against government intervention in both the "economic" and "social" spheres, and therefore rejects a very high percentage of the activities of modern states. By that definition, there has been no major exodus to speak of.
Thus, Tyler is, I think, wrong to claim that there has been a substantial exodus from libertarianism in recent years. That does not mean libertarians can afford to rest on our (very modest) laurels. Far from it. After all, it is also clear there has been little, if any, significant expansion of the libertarian movement in that time. Our position has also weakened because of the rise of nationalism on the right and "democratic socialism" on the left, both of which are deeply inimical to libertarianism. Even if the number of libertarians has not declined, we face more hostility from adherents of other ideologies than was the case 10-20 years ago.
A group that was a small minority to begin with needs to more than just maintain its position. It badly needs growth. On that point, I very much agree with Nick Gillespie's response to Tyler's post.
II. Are "Smart" Libertarians Adopting SCL?
What of Tyler's claim that "the smart classical liberals and libertarians" have moved towards SCL? A lot here turns on who qualifies as "smart." If it means those who have the highest IQ or other forms of raw intellectual ability, then we don't have the evidence we need to figure out the answer. Who knows whether the libertarian intellectuals who agree with Tyler's position are smarterin this sensethan those who don't?
It may be more productive to interpret "smart" as referring to the most prominent and successful libertarian thinkers. The quality and reach of thinkers' ideas surely matters more than how high their IQs are.
Consider those American libertarian thinkers whose work has had the biggest mainstream impact over the last decade, as measured by both public and academic attention. The three cases that most stand out are Jason Brennan's work on democratic theory and related issues, Bryan Caplan's work on education and immigration, and Deirdre McCloskey's series of books on the nature and history of liberalism. Little if any of their work focuses on enhancing state capacity. To the contrary, all three emphasize the case for limiting and constraining government power, albeit in quite different ways.
The same is true for nearly all the most notable recent libertarian scholarship in my own field: law. Here too, state capacity is mostly notable by its absence. My impression is that the same is true of recently successful libertarian-leaning scholars in economics, philosophy, and political theory, such as John Cochrane, Casey Mulligan, Michael Huemer, and John Tomasi, among others. As David Henderson points out in his response to Tyler, state capacity is also largely absent from the recent research agendas of the most prominent and influential libertarian think tanks and publications, such as the Cato Institute, the Mercatus Center, and Reason.
With the important exception of Tyler himself, I am hard-pressed to name any prominent libertarian thinker who has found success in recent years by focusing on state capacity. The most plausible exception that comes to my mind is Brink Lindsey, who unlike many of his Niskanen Center colleagues, might still be considered a libertarian, at least in some important respects. His excellent and widely discussed 2017 book, The Captured Economy (coauthored with Steve Teles, who is not a libertarian), does indeed advocate a number of state capacity-focused reforms, which are combined with a more traditional libertarian emphasis on deregulation of licensing and zoning (I assessed the book's arguments here and here). I am not at all sure Lindsey would embrace the SCL label. But he may be the closest thing to an example of the phenomenon of "smart" libertarians moving in an SCL direction.
While I follow libertarian intellectual developments closely and know many people in the movement, I have to admit that Tyler knows more. Perhaps he can point to notable examples of libertarian SCL-ers whom I have missed. I would be happy to post any response to my argument that he cares to make. For the moment, however, the available evidence suggests that there is no significant outmigration from libertarianism, and that very few "smart" libertarians are adopting an SCL perspective.
The fact that SCL seems to have very few adherentseven by comparison with conventional libertarianismdoesn't mean SCL is wrong. Many, perhaps most, great ideas start out with very few supporters. In my next post on this issue, I will take up the question of whether libertarians should embrace SCL, regardless of whether any significant number have done so already.
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Tyler Cowen on "State Capacity Libertarianism" I: Is it the Wave of the "Smart" Libertarian Future? - Reason
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The Evolving Libertarianism of Neil Peart – National Review
Posted: at 11:19 am
Rush drummer Neil Peart performs during a sold-out show at the MGM Grand Garden Arena in Las Vegas, Nev., July 17, 2004.(Ethan Miller/Reuters)
Like every true rock fan I was saddened to hear of the passing of Neil Peart, the lyricist and virtuoso drummer for the prog group Rush. We all love the bands key albums, the handful culminating in 1981s Moving Pictures, and we inevitably have some opinions about the others too. I absolutely loved their 2007 effort Snakes and Arrows, for example, and I cant stand the really synth-heavy stuff they did in the mid and late 80s. (Before anyone asks, in my definition that includes Power Windows but not Signals.)
We on the right, of course, have a special debt to Peart for being the rare entertainer to espouse political beliefs other than lefty ones. The incredible first side of 2112 is based on Ayn Rands Anthem, and in The Trees, from Hemispheres, Peart makes a point about equality: All trees can be the same height . . . if you cut them all down.
But like a lot of us who had strong libertarian tendencies when we were young, Peart saw his views evolve as he aged. The Larger Bowl (A Pantoum), from the aforementioned Snakes and Arrows, is a heartfelt meditation on the different fortunes and fates human beings find themselves subjected to. And in an interview with Rolling Stone in 2012, Peart identified as a bleeding-heart libertarian rather than the Randian kind:
For me, [the work of Ayn Rand] was an affirmation that its all right to totally believe in something and live for it and not compromise. It was a simple as that. On that 2112 album, again, I was in my early twenties. I was a kid. Now I call myself a bleeding heart libertarian. Because I do believe in the principles of libertarianism as an ideal because Im an idealist. Paul Therouxs definition of a cynic is a disappointed idealist. So as you go through past your twenties, your idealism is going to be disappointed many many times. And so, Ive brought my view and also Ive just realized this libertarianism as I understood it was very good and pure and were all going to be successful and generous to the less fortunate and it was, to me, not dark or cynical. But then I soon saw, of course, the way that it gets twisted by the flaws of humanity. And thats when I evolve now into . . . a bleeding-heart libertarian. Thatll do.
May he rest in peace.
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The Evolving Libertarianism of Neil Peart - National Review
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A Conversation with a Libertarian Observed | Mark Shea – Patheos
Posted: at 11:19 am
Heres some of a conversation that happened in my comboxes recently, illustrating what I believe to be one of the core failings of Libertarianism: its essential narcissism.
Reader 1: Why not vote Libertarian? They dont have a clear position on abortion, but wont fund PP, and also oppose the death penalty.
Reader 2: Libertarians tend to be amoral, which is better than immoral, and favor the powerful which can lead to dehumanizing the vulnerable.
Reader 1: I understand your concerns, and this America Magazine writer can answer them here.
Reader 2: The author suggests that Libertarians can learn from and be checked by good will adherence to CST, which I believe is true for all political systems. The problem is that subsidiarity, while always necessary in practice, is always woefully inadequate beyond a very small community. Those I call casserole Christians believe their small and subjective acts of charity, however noble and well intended, will resolve the massive social inequalities and cycles of poverty we face in the US. Subsidiarity can work well in tandem with larger governmental systems of care that should be focused on the common good, but cant replace them. One example in Massachusetts, church-sponsored Take and Eat ministries work in tandem with state/federally funded Meals on Wheels programs to provide weekend meals for the elderly and those with disabilities. Wonderful concept and practice as a supplemental effort, but beyond that is inadequate. And my parish struggles even to find the funding and volunteers to fulfill our once every 6 week commitment.
The notion that a combination of libertarian neutrality and voluntary neighborliness will inspire our consciences to provide for the poor died with the wild west.
Any reasonable assessment of the real world would have to conclude that Reader 2 is simply right about this. Before Social Security, 50% of seniors were poor. Blue states do vastly better economically than red ones do and, what is more, blue states, by their contributions to the federal budget, keep afloat the social programs upon which the poor in red states depend to keep body and soul together. Cultures full of the agitprop about how money will trickle down and spontaneously generous Libertarians will supply what the state need not supply have a name: poverty-stricken.
But Libertarianism is founded on a couple of crippling lies. One of the greatest of these is that property rights trump the right to live. In some extreme cases such as Murray Rothbard, the insanity is so deep that even the claim of a child to deserve care of its parents is denied since the child cannot pay for these goods and services. But even if a Libertarian is not quite that demented, Libertarianism insists that all help given somebody outside the immediate circle of family is charity. That is the other and core falsehood. Why?
Because much of the help we are expected to give, according to the Churchs teaching, is not charity, but justice.
The rich man was not damned because he did not give Lazarus charity, but because he denied him justice. The priest and the Levite were not condemned, nor the Good Samaritan commended, because they did not and the Samaritan did give the beaten man charity, but because they did not (and the Samaritan did) give him justice.
Justice pertains to what is owed. We owe our neighbor his life if he needs saving and we have the power to do it. You arent giving charity when you find somebody lying in a pool of blood and call 911 or find him hungry and give him something to eat. You are giving them simple justice. If you walk past them and do nothing, you are not denying them charity that you didnt owe them. You are being a sinner in grave danger of the fires of hellbecause you selfishly denied what you owed them in justice. And if the best way to get that person help involves food and shelter paid for by the state, somebody who cares about the person in need cares about them getting food and shelter, not about getting the credit for helping them. But Libertarianism has a very different agenda. To wit:
Reader 1: Libertarians dont necessarily believe that government has no place in anything, but rather than its involved in much more than it needs to be. The states duty is to protect the weak from the strong. That does not include mandating a minimum wage that could kill businesses who cant afford it, nor does it include forcing people to pay income tax on the threat of jail. I dont know if youve heard of Andrew Yang, but he actually has better alternatives to these things.
Translation: Im theoretically for the weak and vulnerable being protected against the the strong and powerful, but I dont want to actually pay for it, or do anything about it, or think about it.
Libertarianism is the teenage fantasy that I will be so super-generous that the state will wither awayone of the whimsical notions that Libertarian fantasists share with Communist fantasists. In reality, Libertarianism is the ideology committed to the use of the state against the weak by the strong. It doesnt really want the state to wither away. It wants it to protect the rich from the poor and the powerful from the weak. But that is not the function of the state. The function of the state is to ensure justice. And since justice means treating equals equally and unequals unequally, it is perfectly right and fitting for the state to obey the preferential option for the poor since they have no defender while the rich and powerful have tons of money and armies of lawyers.
Note the rhetorical feint to leftists such as yourself. Reader 2 has not used that term as a self-descriptor. Libertarian Reader 1 chose to do so in order to dismiss the Churchs teaching on the right to a living wage as leftism. Thats because, contrary to his claim, the real and only function of the state for Libertarians is to protect the rich and powerful from the cry of the poor for a just wage. Curiously, the refusal to pay workers a just wage is one of four sins that cry to heaven for vengeance.
Reader 2 to Reader 1: I support a living wage because Im Catholic, kiddo. You can start lecturing me after you earn your first paycheck.
Reader 2 returns the leftist serve with a hard return volley that Libertarian Reader 1 is in no way prepared for, because Reader 1 gets his thinking, not from the teaching of the Magisterium, but from the bits and pieces cannibalized from it by Libertarians. The reply is simple: a living wage is not charity, it is justice. And it is the right and proper duty of the state to ensure justice.
But I digress. Here is where Libertarian Reader 1 gets down to the essential narcissism of the Libertarianand is rightly defeated in clean combat by Catholic Reader 2:
Reader 1 to Reader 2: And if you seriously think libertarians are that selfish, google libertarian disaster relief. Libertarianism isnt about being selfish, its about making sure government isnt your mother or babysitter.
You know, being this young, I should be as left-wing as you, but Im not. You cannot force people to be charitable. That is wrong. That is what government does.
Reader 2 to Reader 1:My point is that being young, you likely havent had the opportunity to experience the hardships people face. There is that no evidence that corporate America or even average citizens would band together to voluntarily provide sustainable systems of care for the working poor, the elderly, the disabled, and in fact much evidence to show that the United States under trump is motivated primarily by greed and self preservation.
No, you cant force charity, which is why basic human needs should not be dependent on charitable whims, but on equitable and just laws and systems of care.
You might benefit from watching this:
Note that the sole concern of Libertarian Reader 1 is not with those in need of help, but with himself. Hes not interested in the question of whether Libertarian charity actually provides sufficient help to those in need, only that Libertarians get the credit for being charitable. Does a family face a choice between living in a tent or getting treatment for their 4 year old with leukemia? The one and only thing that matters is not the family or their need being met, but whether Reader 1 gets the warm fuzzy feeling of being charitable for throwing five bucks in their GoFundMe set up to raise $300,000 (and currently standing at $230).
This is the essential evil of Libertarianism. Because it denies any claim of justice and insists that anything beyond helping ones own family and a small circle of friends is charity it teaches its adherents to take a completely narcissistic view of what we owe to others. Rather than allow a nickel to be taken from his paycheck by the state, the allegedly generous Libertarian would rather make a poor mans family starve to death or freeze in his car than have a system where the state insures universal health carebecause it is not the poor man but the power and vanity of the Libertarian that is all that matters. The Libertarian gets to decide life and death for the poor he deems deserving or undeserving. The Libertarians only real interest is in getting to take credit for his generosity, not in whether Lazarus gets the help he needs.
Libertarianism is essentially narcissistic. It offers nothing good that Catholic teaching does not already offer while it distorts and denies nearly all Catholic teaching about the Common Good and Solidarity. Skip it and stick with Catholic Social Teaching.
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A Conversation with a Libertarian Observed | Mark Shea - Patheos
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Why Libertarians Have a Love-hate Relationship With the 10th Amendment – HowStuffWorks
Posted: at 11:19 am
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Libertarians just want to get along. They don't want you messing with them, and they won't mess with you. More than anything else, they don't want some suffocating government telling people what they can or cannot do.
That is the heart of the Libertarian Party pitch. Those ideas are neither some crazy everybody-hold-hands socialist dream or some wild-eyed, anarchist, down-with-the-feds manifesto. Libertarians just want everybody to enjoy the liberty to do what they want to do as long as it doesn't infringe on anyone else's rights. And, again, they don't want anybody, especially the federal government, messing with that.
Of course, if life were only that simple.
In their crusade, many Libertarians like every other political party in America, Libertarians don't agree 100 percent on everything point to the 10th Amendment as the constitutional basis for their way of thinking. Added as part of the Bill of Rights in 1789, the 10th Amendment is somewhat striking in its simplicity. It goes like this:
The powers not delegated to the United States by the Constitution, nor prohibited by it to the states, are reserved to the states respectively, or to the people.
Of course, if the Constitution were only that simple.
The 10th Amendment, even in those 28 short words, four clauses, three commas and single period, is open to a great deal of interpretation. But let's, for the moment, take it literally: If the Constitution doesn't spell out a certain power or powers to the federal government (the "United States"), those powers belong to the states or the people.
"They [the constitutional framers] didn't want the federal government to be huge," says Honor "Mimi" Robson, the chair of the Libertarian Party of California. "They didn't want the federal government to be involved in the citizens' day-to-day lives."
Some people, both in and out of the Libertarian Party, view the 10th Amendment very narrowly. They contend that many powers that the federal government now claims things represented by, for example, the U.S. Department of Education, or even Supreme Court decisions that allow for things like same-sex marriage throughout the U.S. should not be held by the feds. The U.S. government is infringing on the states' rights to decide how children are taught in their state, for example, or whether same-sex marriage should be allowed. That should be up to the states, they say. Those are states' rights.
Now, you might argue, government is government, whether it's at the state or federal level (or both). And multiple levels of government, some absolutely will argue, is bad.
But most out there understand the need for some government. And government at the state level, close to home, the argument goes, is better than edicts being flung from the feds in Washington. From the Tenth Amendment Center:
People arguably have more control and influence over smaller governmental units. Even if they don't, multiple small power centers make it possible to flee from particularly oppressive jurisdictions and create an environment of "competition" between governments.
Few would suggest that no federal government is needed, either. And, indeed, the Constitution enumerates certain powers solely to the U.S. government, including the ability to tax, to provide for the national defense, to regulate commerce (both within the states and internationally), and to determine who becomes a citizen.
But many Libertarians, and many others, argue that the U.S. government has vastly overstepped those powers enumerated to it and, in doing so, has trampled on the 10th Amendment. The disagreements, inside the Libertarian Party and out of it, are exactly where the line between federal rights and states' rights should be drawn.
"If you look at states' rights as allowing states to do bad things to people to take away their rights, that is absolutely not Libertarian," Robson says. She points to the 1967 Supreme Court case Loving v. Virginia, which held that a ban on interracial marriage by the state of Virginia violated the 14th Amendment's Equal Protection Clause. That case provided, in effect, a new enumerated power for the federal government; to protect individuals from states. "States shouldn't be able to say that people who love each other can't get married. Same thing with same-sex marriage.
"I don't believe that that was ever intended to allow states to do bad things to infringe on people's rights just because it's more of a local level," Robson says. "I think that's where some people get kind of confused, in my opinion."
For almost 200 years, the 10th Amendment and its apparently straightforward language was viewed very narrowly. According to the National Constitution Center, when legal questions were raised about the use of some federal power, they didn't center on whether the use of the power was violating someone's rights, but rather if the federal government had the right to use the power in the first place. Was it something granted to the government under the Constitution? If not, it's the states' and the people's.
That has changed, though, in the past several decades as the courts have granted more power to the federal government, powers that are often argued to be implied by the Constitution, if not enumerated. The 10th, now, is regularly rolled out as a defense against an overreaching U.S. government. Some used it as an argument against "Obamacare." Some are citing it as a reason to block President Donald Trump's move to stop a California law declaring it a "sanctuary state."
The struggle, in many ways, is exactly what the writers of the 10th Amendment saw coming. They tried to spell things out. But we're still trying to figure out what they really meant in those 28 simple words.
"I think what we all agree on is that we're looking for a society where there's no government infringement of personal rights. That's what we're looking for," Robson says. She's talking about Libertarians, though she could be speaking for many others. "We want freedom and we want no government coercion, and I believe states can be just as coercive as the federal government when it comes to individual liberties.
"It's the nuances that we aren't quite clear on. To use a train analogy, we're all on this train that's going from point A which is California right now, which is basically socialism to point B or C or X or Y or Z, which is complete non-government intervention, non-government. There's going to be people that get off the train at different places. I'm not going to be on the train all the way to the end, to pure anarchy. But you know what? Right now, we're up on blocks. We're nowhere close. We have to agree on what we agree on and move forward."
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Why Libertarians Have a Love-hate Relationship With the 10th Amendment - HowStuffWorks
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