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The Role of Big Data in Futures Research

The Role of Big Data in Futures Research

GUEST POST from Chateau G Pato

As research evolves and the greater digital age becomes more and more defined by its vastness and capabilities, so too does the way in which research is conducted. No longer are questionnaires, question prompts, and surveys considered to be the only methods scientists have to delve into the future of their chosen discipline, Gathered and collated data has become commonplace, and the big data analytics and insights that come along with this have allowed the research community to unravel the complexities associated with future forecasting. Here, we explore the role of big data in futures research.

In order for scientists to determine what the future may hold in any given field, they rely heavily on the available information that has been gathered from various sources and third-party data centers. This type of data, commonly referred to as “Big Data”, provides researchers with analytical capabilities, the ability to identify trends, and the capacity to draw accurate conclusions regarding future trends.

Big data can be found in virtually all fields, from healthcare to marketing and finance. With advancements in technology, researchers can gather, store, and analyze large amounts of data much more quickly than ever before. Additionally, the advancements in artificial intelligence have allowed researchers to embed algorithms into their analysis to develop more accurate trend predictions for the future.

Case Study 1 – Atlantic Council’s Global Futures Exchange

A great example of this is the work being done by the Atlantic Council’s Global Futures Exchange. This particular project has seen several big data initiatives implemented, such as machine learning algorithms and natural language processing to help it accurately predict future trends in global affairs. By analyzing massive amounts of data related to climate change, geopolitics, terrorism, and more, researchers can better prepare themselves for what the future may hold in a given field.

Case Study 2 – Pacific Institute for Research and Evaluation (PIRE)

Another great example of the role of big data in futures research is the work done by the Pacific Institute for Research and Evaluation (PIRE). This organization has been able to leverage big data to create a predictive model that helps inform their decision making and future forecasts. PIRE uses these models to generate forecasts related to various factors such as the global economy, risk management, and energy efficiency. Using predictive analytics, they were able to identify potential areas of risk before they became issues and equipped themselves with the necessary resources to combat them before they become serious.

Conclusion

It’s clear to see that big data and the insights it provides are becoming increasingly important to futures research. This type of data provides researchers with much more accurate and timely results, enabling them to increase the efficiency of their research. With big data analytics, scientists are now presented with the opportunity to use predictive analytics to identify potential trends and outcomes before they become a reality. By leveraging the power of big data, researchers are more prepared to better understand the future and what it holds in their respective fields.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Change Management: A Leader’s Guide to Effective Implementation

Change Management: A Leader's Guide to Effective Implementation

GUEST POST from Chateau G Pato

Change is a natural part of life, and so businesses must learn to make timely adjustments to stay competitive and successful in the long-term. As a leader, it is your responsibility to ensure that change is properly implemented and managed so that you and your organization are placing strategic efforts where needed. This article serves as a guide to help business leaders implement effective change management strategies in their organization.

What is Change Management?

Change management is a structured process of organizing and controlling a company’s adjustment efforts. It is considered the cornerstone of large-scale transformation and is executed with the general idea of limiting risks and maximizing the potential of positive outcomes from change initiatives. It includes four core components: analysis, planning, implementation, and review. Through these four components, organizations can strategically transform their operations, core systems, and approaches to mission-critical processes.

Why is Change Management Important?

Change management is important because it helps organizations respond to their changing environments efficiently and effectively. It serves as a system of checks and balances and ensures that all change initiatives are properly justified, planned, and implemented. The process also helps businesses minimize the waste of resources and ensure that teams involved in various projects are best working towards the same goal.

Case Study 1 – The Transformation of Microsoft

Microsoft launched an extensive internal transformation project in 2014 to update its core operations, systems, and approaches. This involved a massive overhaul of the company’s internal processes, such as switching to an agile development method. Microsoft implemented a comprehensive change management approach, which included extensive training, workforce planning, and organizational realignment initiatives. The transition was a success and enabled Microsoft to remain a leader in their industry.

Case Study 2 – The Reorganization of National Grid

National Grid, a major electric and gas utility provider, restructured its organization to meet new customer demands and market trends. The company implemented a state-of-the-art change management system to execute the reorganization process across all departments and subsets of the company. This involved a rigorous assessment process, strategic workforce planning, detailed metrics, and advanced decision-making methods. The reorganization successfully enabled National Grid to better respond to changes in its environment and remain competitive in the industry.

Conclusion

Effective change management helps organizations respond to changes in their industry and remain competitive in the long-term. As a leader, it is important to understand the various components of change management and ensure that initiatives are properly planned and implemented. By considering the two case studies provided in this guide, business leaders can gain invaluable insight into the tools and processes that can help their organization successfully manage change.

Image credit: Pixabay

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Design Thinking for Non-Designers

How to Approach the Problem Solving Process

GUEST POST from Chateau G Pato

In the world of design, getting started with creative problem solving can feel intimidating if you don’t have a design background. Understanding how to approach a problem from a different perspective is key to success when it comes to finding viable solutions. In this article, we’ll be discussing the basics of design thinking and introducing two case studies that demonstrate how it can be used for both creative and practical problem solving.

What is Design Thinking?

Design thinking is an approach to problem solving that focuses on human-centered solutions. It was popularized by design firm IDEO, which is known for its innovative products, like the now-ubiquitous Apple Mouse and the Segway. Design thinking is based on the idea that creative solutions and useful products can be used to meet pressing needs in any project. When it comes to problem solving, design thinking encourages a multidisciplinary approach that includes ideation, prototyping and iterative testing.

At its core, design thinking is about asking the right questions and understanding what the user needs from a product or service. The process starts with an initial investigation into the problem, followed by brainstorming to find possible solutions. Once potential ideas have been identified, the next step involves prototyping and experimentation to discover the best approach. Iterative testing and user feedback help to identify areas for improvement, while also informing the end result. Ultimately, the design thinking process can identify both creative and practical solutions that address the original problem.

Case Study 1 – McKinsey & Co: Designing an App for the Nonprofit Sector

In 2020, McKinsey & Co partnered with the World Wildlife Fund to design a mobile app that would help the nonprofit sector better organize its data. In order to create a product that could truly serve the needs of the sector, the team began by conducting research on the current state of data management and the pain points among nonprofits. Once they identified the problem, they used design thinking to create a product that would solve it.

The team conducted interviews, ran surveys and observed user behavior in order to gain deeper insight into the nonprofit sector and better understand their goals. This enabled them to develop an app prototype that addressed the identified pain points and provided innovative solutions for the nonprofit sector. After consulting with the target audience and refining the product, the final version of the app was released and it quickly became a success.

Case Study 2 – Zenden: Delivering Smart Energy Solutions

This example highlights how design thinking can be used to create a product that meets current needs. Zenden, an energy-focused startup, wanted to create a smart energy system that would improve the efficiency of renewable energy sources and reduce carbon emissions. The team used the design thinking process to develop a solution that would meet this goal.

The team first conducted research on the current energy landscape and identified challenges stemming from energy availability and sustainability. They then held brainstorming sessions to come up with possible solutions and interviewed energy industry professionals to refine their ideas. After extensive prototyping and testing, the team was able to develop a solution that provided a reliable energy source and drastically reduced energy waste.

Conclusion

Design thinking is an invaluable tool for problem solving that allows creators to understand a problem from a human-centered perspective and come up with creative solutions that meet users’ needs. Both of the cases presented here demonstrate how design thinking can be used to create products that consider the needs of the user and deliver potential solutions. With the right approach, even those without a design background can create products that meet the needs of their audience.

SPECIAL BONUS: Braden Kelley’s Problem Finding Canvas can be a super useful starting point for doing design thinking or human-centered design.

“The Problem Finding Canvas should help you investigate a handful of areas to explore, choose the one most important to you, extract all of the potential challenges and opportunities and choose one to prioritize.”

Image credit: Unsplash

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Innovation Debt – The Hidden Cost of Postponing Necessary Change

LAST UPDATED January 18, 2026 at 11:33AM

Innovation Debt - The Hidden Cost of Postponing Necessary Change

GUEST POST from Art Inteligencia

In the world of software development, we often speak of “technical debt” — the shortcuts and quick fixes taken in the short term that inevitably lead to greater costs and complications down the line. But there’s a broader, more insidious form of debt plaguing organizations today: Innovation Debt. This is the accumulating cost and lost opportunity that arises when an organization repeatedly postpones necessary changes, upgrades, and investments in new ideas, technologies, and processes. It’s the silent killer of future relevance, slowly eroding competitive advantage and stifling growth.

As a human-centered change and innovation thought leader, I see Innovation Debt not just as a financial burden, but as a cultural one. It represents a failure to prioritize continuous learning, adaptability, and the human element in an ever-evolving market. It’s the consequence of a mindset that views innovation as an optional expense rather than a core strategic imperative.

“Innovation Debt is the interest you pay on yesterday’s excuses. Every time you say ‘not now’ to a valuable new idea, you’re signing a promissory note against your future relevance. Eventually, the interest compounds into obsolescence.” — Braden Kelley

How Innovation Debt Accumulates

Innovation Debt isn’t usually the result of a single, catastrophic decision. Instead, it accrues gradually through a series of seemingly minor choices:

  • Deferred Technology Upgrades: Sticking with legacy systems because “they still work” instead of investing in modern, agile platforms.
  • Underinvesting in R&D: Cutting innovation budgets during tough times, sacrificing future growth for short-term profits.
  • Resisting Process Modernization: Clinging to outdated workflows and bureaucratic structures that hinder efficiency and adaptability.
  • Neglecting Skill Development: Failing to upskill employees in new technologies or methodologies, leading to a knowledge gap.
  • Ignoring Customer Feedback: Dismissing early signals of changing customer needs or market trends.
  • Stifling Experimentation: A culture that punishes failure discourages risk-taking, leading to a lack of new ideas being tested.

Each of these decisions, individually, might seem pragmatic. Collectively, they create a mountain of debt that becomes increasingly difficult and expensive to repay.

The Cost of Ignoring Innovation Debt

The consequences of Innovation Debt are far-reaching and impact every facet of an organization:

  • Reduced Competitiveness: Rivals with less debt can innovate faster, capture market share, and respond to customer needs more effectively.
  • Increased Operational Costs: Legacy systems are expensive to maintain, inefficient processes waste time and resources, and reactive changes are always more costly than proactive ones.
  • Declining Employee Morale: Talented individuals become frustrated by outdated tools, slow decision-making, and a lack of opportunity to make an impact, leading to attrition.
  • Loss of Customer Loyalty: Customers seek out companies that offer modern experiences, relevant solutions, and a commitment to continuous improvement.
  • Erosion of Brand Value: A company seen as stagnant or behind the curve loses its innovative edge and appeal.

Case Study 1: The Retail Giant and Digital Transformation

The Situation

For decades, a dominant retail chain prided itself on its vast brick-and-mortar presence and traditional supply chain. As e-commerce began to emerge, leadership acknowledged the shift but consistently underinvested in its online capabilities. Decisions were made to “wait and see,” to make incremental website improvements rather than a full digital transformation.

The Innovation Debt Accrues

This deliberate delay led to massive Innovation Debt. Their online platform became clunky, customer data was siloed, and their supply chain remained optimized for physical stores, not rapid home delivery. Competitors, who had invested early and iteratively, built robust e-commerce ecosystems, personalized shopping experiences, and efficient last-mile delivery networks.

The Painful Repayment

When the market eventually forced their hand, the cost of repayment was staggering. They had to pour billions into refreshing their entire digital infrastructure, acquire new logistics capabilities, and overhaul their internal culture. This wasn’t just about money; it was about lost market share, a frustrated customer base, and the arduous task of catching up from a decade behind. Their debt payment was steep, painful, and almost too late.

Case Study 2: The Established Technology Company and Cloud Migration

The Situation

A venerable software company, known for its on-premise solutions, saw the rise of cloud computing. Their engineering teams advocated for a strategic shift, but leadership, comfortable with recurring license revenues and fearing the complexity of migration, chose to delay a full-scale cloud transformation, opting instead for hybrid solutions and minimal SaaS offerings.

The Innovation Debt Accrues

The Innovation Debt rapidly compounded. Their competitors, born in the cloud or having migrated early, enjoyed faster deployment cycles, greater scalability, reduced infrastructure costs, and attracted top talent keen on modern tech stacks. The legacy company’s products became harder to integrate, less flexible, and increasingly less attractive to new enterprise clients. Their internal teams struggled with outdated development tools and deployment methods, leading to burnout and high turnover.

The Painful Repayment

Eventually, the company had to embark on a massive, multi-year cloud migration. The project was incredibly expensive, disruptive, and risked alienating existing customers. They lost key talent to competitors offering more forward-thinking environments. The cost of their Innovation Debt wasn’t just financial; it was a blow to their reputation as an industry leader and a severe drain on organizational energy and morale. They learned that delaying a fundamental architectural shift ultimately led to a forced, emergency overhaul.

Combating Innovation Debt: A Proactive Stance

Addressing Innovation Debt requires a proactive, human-centered strategy:

  1. Prioritize Continuous Investment: View innovation as a non-negotiable operating expense, not a discretionary budget item.
  2. Foster an Experimentation Culture: Encourage rapid prototyping and testing. Embrace a “failure budget” to learn quickly and cheaply.
  3. Listen to the Edge: Empower employees closest to customers and emerging technologies to identify early signals of change.
  4. Strategic Foresight: Regularly scan the horizon for disruptive trends and build scenarios for the future.
  5. Agile Decision-Making: Streamline processes to allow for quicker pivots and adaptations to new information.

The choice is clear: either we proactively manage and invest in innovation, paying a small, continuous “interest” in the form of strategic R&D and continuous improvement, or we accumulate massive Innovation Debt that threatens our very existence. In today’s dynamic world, playing catch-up is a losing game. It’s time to pay your innovation dues before they bankrupt your future.

Frequently Asked Questions on Innovation Debt

Q: What is Innovation Debt?

A: Innovation Debt refers to the accumulating costs and lost opportunities that arise when an organization repeatedly postpones necessary changes, upgrades, or investments in new ideas, technologies, and processes. It’s the deferred payment for failing to innovate proactively.

Q: How does Innovation Debt manifest in organizations?

A: It manifests as outdated technology, inefficient processes, declining market relevance, decreasing employee morale, missed competitive advantages, and a reactive culture that struggles to adapt. Ultimately, it leads to higher operational costs and a loss of market share.

Q: What is the best way to address and prevent Innovation Debt?

A: Addressing Innovation Debt requires a proactive, human-centered approach. This includes fostering a culture of continuous learning and experimentation, making regular investments in R&D and employee skill development, building agile decision-making processes, and prioritizing strategic innovation initiatives even during times of stability. It’s about building a robust innovation system rather than just reacting to crises.

Bottom line: Futurology and future studies are not fortune telling. Skilled futurologists and futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Brainstorming versus Braincalming

GUEST POST from Mitch Ditkoff

If you work in a big organization, small business, freelance, or eat cheese, there’s a good chance you’ve participated in at least a few brainstorming sessions in your life.

You’ve noodled, conjured, envisioned, ideated, piggybacked, and endured overly enthusiastic facilitators doing their facilitator thing.

You may have even gotten some results. Hallelujah!

But even the best run brainstorming sessions are based on a questionable assumption — that the origination of powerful, new ideas depend on the facilitated interaction between people.

You know, the “two heads are better than one” syndrome.

I’d like to propose an alternative for the moment: “two heads are better than one sometimes.”

For the moment, I invite you to consider the possibility that the origination of great, new ideas doesn’t take place in the storm, but in the calm before the storm… or the calm after the storm… or sometimes, even in the eye of the storm itself.

Every wonder why so many people get their best ideas during “down time” — the time just before they go to sleep… or just after waking… or in dreams… or in the shower… or in the car on the way home from work?

Those aren’t brainstorming sessions, folks. Those are braincalming sessions. Incubation time.

Those are time outs for the hyperactive child genius within us who is always on the go.

Methinks, in today’s over-caffeinated, late-for-a-very-important-date business world, we have become addicted to the storm.

“Look busy,” is the mantra, not “look deeply.”

We want high winds. We want lightning. We want proof that something is happening, even if the proof turns out to be nothing more than sound and fury.

High winds do not last all morning. Sometimes the storm has to stop.

That’s why some of your co-workers like to show up early at the office before anyone else has arrived. For many of us, that’s the only time we have to think.

“The best thinking has been done in solitude,” said Thomas Edison. “The worst has been done in turmoil.”

I’m not suggesting that you stop brainstorming (um… that’s 20% of our business). All I’m suggesting is you balance it out with some braincalming. The combination of the two can be very, very powerful.

HERE’S A FEW WAYS TO GET STARTED:

  1. In the middle of your next brainstorming, session, restate the challenge — then ask everyone to sit, in silence, for five minutes, and write down whatever ideas come to mind. (Be ready for the inevitable joking that will immediately follow your request). Then, after five minutes are up, go “round robin” and ask everyone to state their most compelling idea.
  2. Ask each member of your team to think about a specific business-related challenge before they go to bed tonight and write down their ideas when they wake up. Then, gather your team together for a morning coffee and see what you’ve got.
  3. Conduct your next brainstorming session in total silence. Begin by having the brainstorming challenge written on a big flip chart before people enter the room. Then, after some initial schmoozing, explain the “silence ground rule” and the process: People will write their ideas on post-its or flip charts. Their co-workers, also in silence, will read what gets posted and piggyback. Nobody talks.

It’s your decision, at the end of the idea generating time, if you want the debrief to be spoken — or if you want people to come back the next day for a verbal debrief.

“Let us be silent, that we may hear the whispers of the gods.” – Ralph Waldo Emerson

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Buy Local, Bye-Bye Walmart

GUEST POST from Mitch Ditkoff

When the residents of Saranac Lake, NY were faced with having a Super Wal-Mart put in, some 600 residents came together to open their own department store, selling shares in the new venture for $100 and raising $600,000. CBS News business and economics correspondent Rebecca Jarvis reports.

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Innovation at TEDx NASA

GUEST POST from Stephen Shapiro

This past Friday I had 6 minutes to share a message about innovation with the world at TEDx NASA. It was a fantastic event with 29 speakers, authors, musicians, aerospace engineers, a neuroscientist and more. 1,700 people were in attendance and it is reported that nearly 100,000 people watched via video streaming on the internet.

Given that my typical speech is 45 minutes long, preparing a 6 minute presentation was a bit of a challenge and required me to script it out to make sure I did not go over my allotted time. Below is what I prepared. Within the next two weeks, I will be able to share the actual video footage – where I am sure I said something completely different.

It’s not rocket science.

We hear people use that expression to describe something that’s not that complex. And although I would never suggest that aerospace challenges are simple, sometimes, even rocket science isn’t rocket science. What I mean by that is sometimes the most creative solutions to aerospace challenges can be found outside the realm of rocket science.

The issue is, you are experts. And your expertise might be the very thing that is preventing you from finding the most creative solutions.

Let me explain why with a simple example.

Think about a time when you lost your keys. After searching everywhere, upon finding them, what did you inevitably say to yourself? “Can you believe it? They were in the last place I looked!” Well of course, who finds something and continues to look for it?

The same thing is true when looking for a solution to a problem. Once your brain finds a solution, it stops looking. And the greater the level of your expertise, the quicker you find a solution. Unfortunately, your idea may not be new, innovative, or the best solution.

The key is to look outside your domain of expertise and to assume that someone else has already solved your problem. Because the odds are, someone HAS solved your problem. So, if you are working on an aerospace challenge, the solution may in fact not be rocket science.

Let me give you a few simple examples.

A high margin item for office supply companies is selling refilled toner cartridges. The challenge is however, very few customers return the used cartridge. During a brainstorming session designed to find creative solutions to this dilemma, I asked the question, “Who else has solved this problem? Who sends you something and is guaranteed that you will send it back?” The first response was the IRS. But the next response was NetFlix. They send you a DVD. You can keep it as long as you want. When you are done you return it and get another one. We investigated and implemented a NetFlix style subscription model for toner cartridges. This worked out great for the company, because they had a 100% return rate on empty cartridges. And customers love it because they never run out of toner and they get great discounts.

It’s not rocket science. Someone else solved this problem.

Or consider engineers who have been searching for better ways to locate and seal cracks in gas pipelines. This is a pressing issue for the industry. Then, one day, while a Scottish engineer was working on this issue, he got a paper cut. Unlike most people who would be annoyed, he was thrilled. What he realized is that his finger is like a cracked gas pipeline. By making a connection between capillaries and a pipeline, he was able to quickly develop an inert coagulation ingredient that would seals these cracks.

The solution wasn’t rocket science. Someone else, in this case the human body, had already solved this problem.

Or consider a snack food manufacturer that wanted to find a way of reducing the amount of fat in their potato chips. The best solution wasn’t found in their laboratory. In fact, the solution wasn’t found in any laboratory. The person who discovered the best solution had no experience with food production. He was a musician. He knew that sound vibrations travel through solid objects and that if an object is light enough it, too, will vibrate. The solution was to place speakers above the conveyor belt and use loud music to literally shake the fat out of chips.

Clearly, this was not rocket science.

Quite often the most creative solutions arise when you assume that someone else has already found a solution. When you look outside your domain of expertise.

Or, as Steve Jobs, CEO of Apple Inc, once said, “Creativity is just having enough dots to connect… connect experiences and synthesize new things. The reason creative people are able to do that is that they’ve had more experiences or have thought more about their experiences than other people.”

When you become masterful at connecting dots you find new and creative solutions.

That’s the wonderful thing about this conference. They could have put 20 aerospace engineers on the stage. But instead they brought in artists, musicians, authors and neuroscientists. This is a chance for you to connect the dots. To learn from unrelated disciplines. If you have 100 aerospace engineers working on a challenge, the value of adding the 101st would be incremental. But adding a biologist, a neurologist, a nano-technologist, or a musician, may lead to a breakthrough.

[at this point I show a picture and tell a funny story…but you’ll have to wait for the video for that]

It is about making connections. It is about connecting the dots. It is about looking outside of your domain of expertise.

You are all experts. And you are admired for your deep understanding of complex technical issues. Having said that, sometimes, the key to creative thinking is to recognize the best solutions aren’t always rocket science.

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Content is No Longer King (Part 2)

GUEST POST from Stephen Shapiro

In an earlier blog entry on content, readers provided a number of interesting comments. If you haven’t already read that article (and the comments), you may want to do so in order to understand this new article.

Many did not agree with my point of view. And that is great. I only wanted to stimulate some conversation.

Let me first address some of the comments (and I appreciate the time that everyone took in writing comments). The comment is in italics with my response following.

“I wonder if the Kindle model requires a subsidy to offset the upfront cost of technology development and/or design manufacturing.” Two thoughts come to mind. 1) No one has an issue paying $150 for an iPod even though the cost of the music is pretty much the same. 2) As new generations of eBook readers hit the market, prices will drop. Several are now on the market for under $200.

“The reason distribution appears to be the source of value isn’t distribution itself but the monopolistic nature of new distribution channels.” Indeed. And that’s my point. Those who aggregate are the ones who create positions of power. The content creators are not the power players. And the individual publishers certainly aren’t.

“If content was truly losing its ability to create value, Comcast would not try to purchase NBC – they might instead bid for Netflix or for a content delivery device company like Roku.” Great point. The reason why I mentioned Comcast’s acquisition of NBC was not to say that it was a good or bad move. I was only trying to point out that a few years ago, the networks were the ones doing the acquiring. Now the distributors are in a position to buy the content creators. It will be interesting to see what this Comcast deal does to Hulu.

“It’s the publisher that is not essential anymore – the content creators are also becoming content publishers due to technology.” Indeed, the publisher is now playing the role of middleman and is going away in many respects – or needs to play a very different role. As you suggest, content creators do have the option to go straight to the consumer now. And we are seeing a democratization of content. Having said that, content creators will still want to push their content to content aggregators – the source of the eyeballs. The reason why Google is so successful is that they are currently a significant player in how content is found.

Some interesting things have evolved in the past week since I wrote the first article. It appears that the big innovations are being developed by the content aggregators (not that that is surprising).

Google Digital Books: Google is offering eBooks on out of print books that are no longer subject to copyright restrictions. They scanned nearly 2 million books and will be offering them in digital form for about $8.

HP/Amazon paperback books: Soon after Google’s announcement, HP and Amazon.com indicated that they will offer print on demand paperback books for these out of print books. A 250 page book from their library of 500,000 can be purchased for about $15. A single copy can be printed in a few minutes.

Book Pricing War: Wal-mart, in an effort to crush Amazon.com, is offering 10 new release books for $10. Well, that was until Amazon said they would offer those same books for $10, at which point Wal-Mart dropped the price to $9. Target joined the price-war, dropping the price to $8.99. This caused Wal-Mart to drop the price to $8.98. According to the WSJ, “The publishing industry is also watching warily to see if the price war will have lasting impact on book pricing and the contracts that publishers sign with authors.”

BN Nook eBook Reader: Barnes and Noble, announced the release of their ‘Nook’ eBook, intended to take on Amazon.com’s Kindle. One account says that the Nook is “closer to a printed book than its precursors in some respects, (in that it) allows users to lend their copies of electronic books to any friend who has installed Barnes & Noble’s e-reader application on a mobile device or personal computer.”

Comcast Premium Channel Streaming: Comcast announced that by end of the year, you will be able to watch popular cable television series such as HBO’s “Entourage” and AMC’s “Mad Men” on your computer without paying extra. They are reported to be the first cable TV operator to “unlock online access to a slate of valuable cable shows and movies, aiming to replicate what’s available on television through video on demand.”

Please don’t get me wrong. Content is necessary. As an author, I sure hope there is value in what I do. Amazon.com, iTunes, Wal-Mart, Barnes and Noble, and Comcast would not exist without content. So yes, content is important. I just wonder if it is still king.

P.S. As an aside, Andrew Odlyzko published an article entitled “Content is Not King” where he contends (according to Wikipedia) that “1) the entertainment industry is a small industry compared with other industries, notably the telecommunications industry; 2) people are more interested in communication than entertainment; and 3) therefore that entertainment content is not the killer app for the Internet.” I realize it is a different topic altogether, but it is interesting nonetheless.

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