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marketinsight1234 · 1 month

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Global Integrated Marine Automation System Market Size Expected To Reach USD 14800 Million With CAGR 9.90% By 2030

The Global Integrated Marine Automation System Market size was valued at USD 6900 Million in 2023 and is projected to reach USD 14800 Million by 2030, growing at a CAGR of 9.90% from 2023 to 2030.

In order to automate and integrate a variety of shipboard operations and tasks, the marine sector uses the Integrated Marine Automation System (IMAS), a complex and cutting-edge control system.

Through the use of a central control unit, also known as a Human-Machine Interface (HMI), the IMAS unifies these disparate systems and gives operators a thorough perspective of how the vessel is operating. It optimizes energy use, boosts productivity, lowers human mistake rates, and raises general safety and dependability in maritime operations.

Integration of IMAS with more comprehensive Fleet Management Systems (FMS) or Vessel Management Systems (VMS) is possible. Through data exchange and coordination amongst several vessels in a fleet, this integration optimizes fuel usage, maintenance scheduling, and fleet-wide operations.

Leading players involved in the Integrated Marine Automation System Market include:

"ABB (Switzerland), Siemens (Germany), Kongsberg Maritime (Norway) Wärtsilä (Finland), Rockwell Automation (US), General Electric (US), Schneider Electric (France), Emerson Electric (US), Honeywell International (US), Yokogawa Electric Corporation (Japan), Rolls-Royce Holdings (UK), Marlink (Norway), Praxis Automation Technology (Netherlands), Hyundai Heavy Industries (South Korea), Larsen & Toubro (India), Navis Engineering (Finland), Rh Marine (Netherlands), Acoem (France), Consilium (Sweden), Samsung Heavy Industries (South Korea) and Other Major Players."

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Updated Version 2024 is available our Sample Report May Includes the:

Scope For 2024

Brief Introduction to the research report.

Table of Contents (Scope covered as a part of the study)

Top players in the market

Research framework (structure of the report)

Research methodology adopted by Worldwide Market Reports

Moreover, the report includes significant chapters such as Patent Analysis, Regulatory Framework, Technology Roadmap, BCG Matrix, Heat Map Analysis, Price Trend Analysis, and Investment Analysis which help to understand the market direction and movement in the current and upcoming years.

Market Driver:

One key driver fueling the growth of the Integrated Marine Automation System Market is the increasing emphasis on operational efficiency and safety in the maritime sector. Shipowners and operators are increasingly adopting automation solutions to reduce human errors, minimize operational costs, and comply with stringent regulations. Integrated automation systems enable real-time monitoring of critical parameters, predictive maintenance, and rapid response to emergencies, thereby improving overall vessel performance and safety.

Market Opportunity:

A significant market opportunity lies in the integration of advanced technologies such as artificial intelligence (AI) and Internet of Things (IoT) in marine automation systems. Leveraging AI algorithms and IoT sensors can further enhance the predictive capabilities of these systems, enabling proactive maintenance, fuel optimization, and route planning. Additionally, there is growing demand for cybersecurity solutions to protect integrated marine automation systems from cyber threats, presenting opportunities for providers to develop robust security solutions tailored to the maritime industry.

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Segmentation of Integrated Marine Automation System Market:

By Product Type

Hardware

Software

By Solution

Vessel Management System

Power Management System

Safety System

Others

By End-User

Commercial

Défense

By Regions: -

North America (US, Canada, Mexico)

Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)

Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)

Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)

Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)

South America (Brazil, Argentina, Rest of SA)

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aerospaceanddefense · 1 month

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#Integrated Marine Automation System Market

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ragini-14 · 2 months

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Integrated Marine Automation System Market 2024 Size Predicted to Increase at a Positive CAGR

The Global Integrated Marine Automation System Market research report published by Exactitude Constancy reveals the current outlook of the global and key regions from the following perspectives: Key players, countries, product types, and end industries. The report studies the top companies in the global market and divides the market into several parameters.

This Integrated Marine Automation System Market research report pinpoints the industry's competitive landscape to understand the international competition. This report study explains the expected growth of the global market for the upcoming years from 2024 to 2030. This research report is accumulated based on static and dynamic perspectives on business.

The global integrated marine automation system market is expected to grow at 10% CAGR from 2024 to 2030. It is expected to reach above USD 10.38 billion by 2030 from USD 4.40 billion in 2023.

Browse Complete Summary and Table of Content @

https://exactitudeconsultancy.com/ja/reports/2212/integrated-marine-automation-system-market/

#Integrated Marine Automation System Industry #Integrated Marine Automation System Market 2024 #Integrated Marine Automation System Market Analysis #Integrated Marine Automation System Market Research Report #Integrated Marine Automation System Market Demand #Integrated Marine Automation System Market Growth #Integrated Marine Automation System Market Insights

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jcmarchi · 3 months

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AI in Marketing: MWC Conference Insights

New Post has been published on https://thedigitalinsider.com/ai-in-marketing-mwc-conference-insights/

AI in Marketing: MWC Conference Insights

In the dynamic intersection of technology and creativity, AI in Marketing stands as a transformative force, reshaping the essence of how brands engage with their audiences. The “Unleashing creativity through the human-robot duality in marketing” panel at the 4YFN event, part of the recent Mobile World Congress (MWC) Conference, spotlighted this evolution. Featuring insights from leaders like Mariam Asmar, Aitor Abonjo, Melissa Kruse, and Tzvika Besor, the panel delved into the intricate dance between AI and human innovation in marketing, revealing a future where these entities don’t just coexist but synergize to unlock new realms of possibility.

The central theses of the MWC’s 4YFN panel was that AI in Marketing is more than a tool; it’s a creative partner. This article explores AI’s impact on marketing, highlighting how it enhances creativity, customer engagement, operational efficiency, and message precision.

The Evolution of Marketing Through AI

The Strategic Role of AI

The integration of AI in marketing strategies has been transformative, primarily through its ability to analyze and leverage big data with unprecedented accuracy. Aitor Abonjo, highlighted this shift, emphasizing how AI enables the identification of the most accurate user base for testing, thereby enhancing the relevance and impact of marketing campaigns. This strategic application of AI ensures that marketing efforts are not only more efficient but also more effective, targeting consumers with precision previously unattainable.

Enhancing Efficiency and Creativity

AI’s role in streamlining operations and fostering creativity has been significant. Melissa Kruse shared insights on using AI tools for brainstorming and drafting, noting how they speed up the creative process while ensuring a high level of personalization. This efficiency not only reduces operational costs but also allows marketing teams to allocate more time to innovate and experiment with new ideas. The concept of using AI, like ChatGPT+, as Kruse suggests, transforms it from a tool into a team member, capable of contributing creatively to marketing strategies.

Personalization at Scale

Tzvika Besor discussed the transformative power of AI in achieving personalization at an unprecedented scale. By tailoring specific messaging for individual consumers, AI tools enable a level of personalization that was once beyond reach. Besor’s insights underscore the importance of AI in crafting marketing messages that resonate personally with consumers, enhancing engagement and fostering deeper connections between brands and their audiences.

Enhancing Creativity and Personalization with AI

Tailoring Messages with Precision

AI’s ability to sift through data and unearth consumer insights has revolutionized the way marketing messages are crafted. Tzvika Besor highlighted the potential for AI tools to allow for hyper-personalized messaging, emphasizing that creative marketing is no longer a one-size-fits-all endeavor. By understanding individual preferences and behaviors, AI enables marketers to create content that speaks directly to the consumer, making each interaction more meaningful and impactful.

Streamlining the Creative Process

Melissa Kruse shared insights into how AI is being used as a powerful assistant in the brainstorming and drafting phases of content creation. AI’s capacity to generate ideas and refine concepts has not only sped up these processes but also introduced a level of creativity that was previously unattainable. This synergy between human creativity and AI’s computational power is pushing the boundaries of what��s possible in marketing content, opening doors to innovative approaches and themes.

Reducing Costs, Maximizing Impact

The integration of AI in creative strategies has also had a significant effect on the economics of marketing campaigns. As Tzvika Besor pointed out, the costliness of creative endeavors, traditionally a major concern for marketing departments, is being mitigated by AI’s efficiency and versatility. The ability of AI to tailor messaging for individual users without requiring extensive human labor allows for more ambitious campaigns with lower resource investment.

AI’s Role in Strategic Decision-Making

Optimizing Marketing Strategies with Data

The strategic incorporation of AI into marketing decision-making processes marks a significant leap towards data-driven strategies. Aitor Abonjo shed light on how AI technologies like predictive analytics and machine learning are pivotal in understanding market trends and consumer behaviors. These tools not only offer a granular view of the current market landscape but also forecast future shifts, enabling marketers to adapt their strategies proactively rather than reactively. The ability to anticipate consumer needs and market dynamics positions brands to capitalize on opportunities with agility and precision.

Enhancing Consumer Engagement Through Insights

The depth and breadth of insights provided by AI extend beyond market analysis, delving into the nuances of consumer engagement. Melissa Kruse emphasized the role of AI in dissecting consumer feedback and online interactions to refine marketing messages and tactics. This ongoing analysis allows brands to maintain a pulse on consumer sentiment, fostering a level of engagement that resonates on a personal level. By leveraging AI, marketers can transform raw data into actionable insights, crafting campaigns that speak directly to the evolving interests and preferences of their audience.

Streamlining Operations and Reducing Costs

Beyond the external focus on markets and consumers, AI’s strategic value also lies in its ability to streamline internal operations. Aitor Abonjo highlighted the operational efficiencies gained from implementing AI tools, such as reduced time to market and lower operational costs. These efficiencies not only improve the bottom line but also free up resources that can be redirected towards innovation and creative endeavors, further amplifying a brand’s competitive edge.

Operational Efficiency and Problem Solving

The integration of AI into marketing operations has revolutionized how businesses approach problem-solving and efficiency. By automating routine tasks and optimizing workflows, AI technologies are enabling marketing teams to focus on strategic and creative work, significantly enhancing productivity and reducing operational costs.

Automating Routine Tasks for Efficiency

One of the most immediate impacts of AI on marketing operations is the automation of time-consuming tasks. Aitor Abonjo discussed how AI tools have been instrumental in streamlining content creation processes and administrative tasks. This automation extends beyond mere content production to include data analysis, customer service inquiries, and even the optimization of digital ad placements. By handling these routine operations, AI allows teams to allocate their time and resources more effectively, focusing on initiatives that require human creativity and strategic thinking.

Enhancing Problem-Solving Capabilities

Beyond routine automation, AI’s role in problem-solving within marketing operations is profound. AI systems are capable of identifying issues in real-time, from detecting shifts in consumer behavior to pinpointing inefficiencies in marketing campaigns. This rapid problem identification enables swift adjustments, ensuring that marketing strategies remain agile and responsive to the market’s demands. Furthermore, AI-driven tools are increasingly used for predictive analysis, forecasting potential challenges and allowing teams to devise proactive solutions, thereby minimizing risks and maximizing opportunities.

Streamlining Communication and Collaboration

AI technologies also play a critical role in enhancing communication and collaboration within marketing teams and between different departments. Tools powered by AI facilitate the seamless sharing of insights and data, breaking down silos and fostering a more integrated approach to marketing strategy and execution. As Tzvika Besor emphasized, the ability of AI to connect various aspects of the business is pivotal, ensuring that all team members are aligned and informed, thus enhancing overall operational efficiency.

Privacy, Ethics, and the Future of AI in Marketing

As AI becomes increasingly embedded in marketing strategies, its implications on privacy and ethical considerations come to the forefront. The transformative potential of AI in marketing is vast, but it must be navigated carefully to uphold consumer trust and adhere to evolving regulatory landscapes.

Navigating Privacy Concerns

The capacity of AI to collect, analyze, and act on vast amounts of data raises significant privacy concerns. Tzvika Besor highlighted the delicate balance between leveraging AI for personalized marketing and respecting individual privacy rights. Advanced AI tools can tailor marketing efforts to individual preferences with unprecedented precision, yet this capability necessitates a cautious approach to data handling and consent mechanisms. Marketers must ensure that AI-driven initiatives comply with privacy regulations like GDPR and CCPA, prioritizing transparency and consumer control over personal data.

Ethical Use of AI in Marketing

Ethical considerations extend beyond privacy to include the integrity of marketing practices influenced by AI. The panel discussion emphasized the importance of using AI to enhance consumer experiences without resorting to manipulative tactics. AI’s ability to influence purchasing decisions through personalized content and recommendations carries the responsibility to avoid exploiting vulnerabilities or biases in consumer behavior. Ethical AI use in marketing means committing to fairness, accuracy, and accountability, ensuring that AI-driven strategies benefit both the brand and its audience.

The Interplay of AI and Human Creativity

The fusion of AI and human creativity in marketing represents a paradigm shift, offering a new realm of possibilities for innovation and engagement. This interplay is not a matter of replacing human insight but augmenting it, creating a symbiotic relationship that elevates the creative process.

Amplifying Creative Potential

AI’s role in marketing extends beyond analytical and operational tasks, entering the creative domain where it acts as a catalyst for human creativity. Tools like ChatGPT have revolutionized content creation, providing initial drafts and ideas that marketing professionals can refine and enhance. This partnership allows for a higher volume of creative output without compromising quality, as AI handles the heavy lifting of data analysis and pattern recognition, freeing humans to focus on the artistry and emotional resonance of marketing content.

Personalization and Storytelling

These Insights highlight how AI enables a level of personalization in marketing that was previously unimaginable. By understanding individual consumer preferences and behaviors, AI helps craft narratives that speak directly to the audience, making each marketing message feel bespoke. This personalized storytelling not only improves engagement rates but also strengthens the emotional connection between brands and their consumers, a feat that requires the nuanced understanding of human marketers guided by AI’s data-driven insights.

Ethical and Authentic Engagement

As the capabilities of AI in marketing evolve, so does the importance of maintaining an ethical approach to its use. The interplay between AI and human creativity must be navigated with a commitment to authenticity and ethical principles. AI can identify trends and optimize messaging, but the human element is essential to ensure that these strategies are implemented in a way that respects consumer privacy and promotes genuine engagement. The blend of AI’s efficiency and human empathy creates a marketing approach that is not only effective but also respectful and authentic.

The Future of Collaborative Creativity

Looking forward, the collaboration between AI and human creativity in marketing is set to deepen, with AI tools becoming more integrated into the creative process. As these technologies continue to evolve, the potential for innovative marketing strategies that seamlessly blend data-driven insights with human intuition and creativity is immense. However, the success of this collaboration hinges on the ability of marketers to remain at the forefront of AI developments, steering these advancements in a direction that enhances rather than diminishes the human touch.

The partnership between AI and human creativity in marketing is a testament to the potential of technology to enhance human capabilities. As we navigate this evolving landscape, the key to unlocking the full potential of AI in marketing lies in leveraging its strengths to amplify human creativity, ensuring that marketing remains a profoundly human-centric endea3vor.

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shashi2310 · 3 months

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https://pristineintelligence.com/reports/integrated-marine-automation-system-market

#Integrated Marine Automation System Market #Integrated Marine Automation System Market Size #Integrated Marine Automation System Market Growth #Integrated Marine Automation System Market Trends #Integrated Marine Automation System Market Analysis

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businessindustry · 4 months

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#Integrated Automation System (IAS) Market Growth

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marketinsight12 · 8 months

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The Global Integrated Marine Automation System Market size was valued at USD 6900 Million in 2023 and is projected to reach USD 14800 Million by 2030, growing at a CAGR of 9.90% from 2023 to 2030.

Integrated Marine Automation System Market Research Report 2023

#Integrated Marine Automation System Market Integrated Marine Automation System Market share Integrated Marine Automation System Market size

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rohitkansalimarc · 8 months

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#Integrated Marine Automation System Market

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electronalytics · 1 year

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Silicon Microphone Integrated Circuits (ICs) Market Overview and Regional Outlook Study 2017 – 2032

The Silicon Microphone Integrated Circuits (ICs) Market refers to the market for integrated circuits that are specifically designed for use in silicon-based microphones. Silicon microphones are a type of microphone that utilizes silicon-based materials and technology to convert sound waves into electrical signals.

Silicon microphone ICs are designed to provide amplification, filtering, and signal processing functionalities for silicon microphones. These ICs play a crucial role in enhancing the performance and capabilities of silicon microphones, making them suitable for various applications such as smartphones, tablets, laptops, smart speakers, automotive systems, and other consumer electronics devices.

The market for silicon microphone ICs has been witnessing significant growth in recent years, driven by the increasing demand for high-quality audio solutions in various electronic devices. The advancements in semiconductor technology and the miniaturization of components have led to the development of smaller, more efficient, and cost-effective silicon microphone ICs.

Some key factors driving the growth of the silicon microphone ICs market include:

Rising demand for voice-controlled devices: The increasing popularity of voice assistants and voice-controlled devices like smart speakers, virtual assistants, and voice-activated home automation systems has created a strong demand for silicon microphones and their associated ICs.

Growing adoption of smartphones and wearable devices: The proliferation of smartphones and wearable devices has resulted in a higher demand for compact and high-performance silicon microphones integrated with ICs, as they are essential components for voice recording and voice communication applications.

Advancements in MEMS technology: Microelectromechanical Systems (MEMS) technology has played a crucial role in the development of silicon microphones and their associated ICs. MEMS-based silicon microphones offer advantages such as small size, low power consumption, high sensitivity, and improved noise cancellation, driving their adoption in various consumer electronics applications.

Increasing demand for high-fidelity audio: With the growing emphasis on high-quality audio experiences, there is a rising demand for silicon microphones and ICs that can provide better audio capture, noise cancellation, and signal processing capabilities. This trend is particularly evident in applications such as professional recording, broadcasting, and conferencing systems.

Overall, the silicon microphone ICs market is expected to continue its growth trajectory in the coming years, driven by the increasing demand for voice-controlled devices, smartphones, wearables, and high-quality audio solutions.

I recommend referring to our Stringent datalytics firm, industry publications, and websites that specialize in providing market reports. These sources often offer comprehensive analysis, market trends, growth forecasts, competitive landscape, and other valuable insights into the humidity sensors market.

By visiting our website or contacting us directly, you can explore the availability of specific reports related to the humidity sensors market. These reports often require a purchase or subscription, but we provide comprehensive and in-depth information that can be valuable for businesses, investors, and individuals interested in the market.

Remember to look for recent reports to ensure you have the most current and relevant information.

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Market Segmentations: Global Silicon Microphone Integrated Circuits (ICs) Market: By Company • Knowles • Infineon • Omron • NRJC • NeoMEMS Global Silicon Microphone Integrated Circuits (ICs) Market: By Type • General purpose ICs • Application-specific ICs Global Silicon Microphone Integrated Circuits (ICs) Market: By Application • Consumer Electronics • IT & Telecommunications • Automotive • Medical & Healthcare Global Silicon Microphone Integrated Circuits (ICs) Market: Regional Analysis All the regional segmentation has been studied based on recent and future trends, and the market is forecasted throughout the prediction period. The countries covered in the regional analysis of the Global Silicon Microphone Integrated Circuits (ICs) market report are U.S., Canada, and Mexico in North America, Germany, France, U.K., Russia, Italy, Spain, Turkey, Netherlands, Switzerland, Belgium, and Rest of Europe in Europe, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, China, Japan, India, South Korea, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), and Argentina, Brazil, and Rest of South America as part of South America.

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#Silicon Microphone Integrated Circuits (ICs) Market Overview and Regional Outlook Study 2017 – 2032 #The Silicon Microphone Integrated Circuits (ICs) Market refers to the market for integrated circuits that are specifically designed for use #Silicon microphone ICs are designed to provide amplification #filtering #and signal processing functionalities for silicon microphones. These ICs play a crucial role in enhancing the performance and capabilities #making them suitable for various applications such as smartphones #tablets #laptops #smart speakers #automotive systems #and other consumer electronics devices.#The market for silicon microphone ICs has been witnessing significant growth in recent years #driven by the increasing demand for high-quality audio solutions in various electronic devices. The advancements in semiconductor technolog #more efficient #and cost-effective silicon microphone ICs.#Some key factors driving the growth of the silicon microphone ICs market include:#1.#Rising demand for voice-controlled devices: The increasing popularity of voice assistants and voice-controlled devices like smart speakers #virtual assistants #and voice-activated home automation systems has created a strong demand for silicon microphones and their associated ICs.#2.#Growing adoption of smartphones and wearable devices: The proliferation of smartphones and wearable devices has resulted in a higher demand #as they are essential components for voice recording and voice communication applications.#3.#Advancements in MEMS technology: Microelectromechanical Systems (MEMS) technology has played a crucial role in the development of silicon m #low power consumption #high sensitivity #and improved noise cancellation #driving their adoption in various consumer electronics applications.#4.

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infinityinsights · 1 year

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#Automated Logistics System Integration Market

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globalinsightsservices · 2 years

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Integrated Marine Automation System Market Analysis and Forecast to 2031: By Autonomy (Autonomous, Remotely-operated, Partial Automation), Ship Type (Commercial, Defense, Unmanned), End User (OEM, Aftermarket), Solution (Products, Services), and Region

#Integrated Marine Automation System Market #Marine Automation System

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balrajgis · 2 years

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Integrated Marine Automation System Market Share to witness steady rise in coming decade | ABB, Honeywell International, Inc., Rolls-Royce PLC

Global Integrated Marine Automation System Market report from Global Insight Services is the single authoritative source of intelligence on Integrated Marine Automation System Market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.

IMAS is an integrated marine automation system that is used to control and monitor the various systems and equipment on board a ship. It is a computer-based system that uses sensors and input from various sources to provide information to the ship’s crew. The system can be used to monitor the ship’s position, speed, heading, and other data. It can also be used to control the ship’s engines, steering, and other equipment.

To Remain ‘Ahead’ Of Your Competitors, Request for A Sample – https://www.globalinsightservices.com/request-sample/GIS20830/

Key Trends

Some of the key trends in Integrated Marine Automation System technology are:

1. Increased use of sensors and instrumentation: There is an increasing trend toward the use of sensors and instrumentation in Integrated Marine Automation System technology. This is due to the need for more accurate and reliable data for decision-making purposes.

2. Increased use of communication and networking technologies: There is an increasing trend toward the use of communication and networking technologies in Integrated Marine Automation System technology. This is due to the need for more effective communication and coordination between different parts of the system.

Key Drivers

The key drivers of the Integrated Marine Automation System market are the need for increased efficiency and safety in maritime operations, the need for real-time data and analytics to optimize maritime operations, and the need to reduce costs associated with maritime operations.

The maritime industry is undergoing a digital transformation, with a focus on increasing efficiency and safety, and reducing costs. The maritime industry is adopting new technologies such as the Internet of Things (IoT), big data, and analytics to optimize operations. The Integrated Marine Automation System is a key technology that is expected to enable the maritime industry to achieve these objectives.

Market Segments

By Autonomy

Partial Automation

Remotely-operated

By Ship Type

Commercial

Defense

By End User

OEM

Aftermarket

By Solution

Products

By Region

North America

Get Customized Report as Per Your Requirement – https://www.globalinsightservices.com/request-customization/GIS20830

Key Players

ABB

Honeywell International, Inc.

Rolls-Royce PLC

Wartsila

Kongsberg

Siemens

Hyundai Heavy Industries

General Electric

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#Integrated Marine Automation System Market

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aerospaceanddefense · 6 months

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The Integrated Marine Automation System Market is poised for significant growth in the coming years, driven by a combination of factors and trends that shape the marine industry. According to a report by MarketsandMarkets, this market is expected to expand from USD 4.9 billion in 2020 to USD 7.8 billion by 2025, demonstrating a Compound Annual Growth Rate (CAGR) of 10.0% during the forecast period.

#Integrated Marine Automation System Market

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mostlysignssomeportents · 1 year

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The AI hype bubble is the new crypto hype bubble

Back in 2017 Long Island Ice Tea — known for its undistinguished, barely drinkable sugar-water — changed its name to “Long Blockchain Corp.” Its shares surged to a peak of 400% over their pre-announcement price. The company announced no specific integrations with any kind of blockchain, nor has it made any such integrations since.

If you’d like an essay-formatted version of this post to read or share, here’s a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/03/09/autocomplete-worshippers/#the-real-ai-was-the-corporations-that-we-fought-along-the-way

LBCC was subsequently delisted from NASDAQ after settling with the SEC over fraudulent investor statements. Today, the company trades over the counter and its market cap is $36m, down from $138m.

https://cointelegraph.com/news/textbook-case-of-crypto-hype-how-iced-tea-company-went-blockchain-and-failed-despite-a-289-percent-stock-rise

The most remarkable thing about this incredibly stupid story is that LBCC wasn’t the peak of the blockchain bubble — rather, it was the start of blockchain’s final pump-and-dump. By the standards of 2022’s blockchain grifters, LBCC was small potatoes, a mere $138m sugar-water grift.

They didn’t have any NFTs, no wash trades, no ICO. They didn’t have a Superbowl ad. They didn’t steal billions from mom-and-pop investors while proclaiming themselves to be “Effective Altruists.” They didn’t channel hundreds of millions to election campaigns through straw donations and other forms of campaing finance frauds. They didn’t even open a crypto-themed hamburger restaurant where you couldn’t buy hamburgers with crypto:

https://robbreport.com/food-drink/dining/bored-hungry-restaurant-no-cryptocurrency-1234694556/

They were amateurs. Their attempt to “make fetch happen” only succeeded for a brief instant. By contrast, the superpredators of the crypto bubble were able to make fetch happen over an improbably long timescale, deploying the most powerful reality distortion fields since Pets.com.

Anything that can’t go on forever will eventually stop. We’re told that trillions of dollars’ worth of crypto has been wiped out over the past year, but these losses are nowhere to be seen in the real economy — because the “wealth” that was wiped out by the crypto bubble’s bursting never existed in the first place.

Like any Ponzi scheme, crypto was a way to separate normies from their savings through the pretense that they were “investing” in a vast enterprise — but the only real money (“fiat” in cryptospeak) in the system was the hardscrabble retirement savings of working people, which the bubble’s energetic inflaters swapped for illiquid, worthless shitcoins.

We’ve stopped believing in the illusory billions. Sam Bankman-Fried is under house arrest. But the people who gave him money — and the nimbler Ponzi artists who evaded arrest — are looking for new scams to separate the marks from their money.

Take Morganstanley, who spent 2021 and 2022 hyping cryptocurrency as a massive growth opportunity:

https://cointelegraph.com/news/morgan-stanley-launches-cryptocurrency-research-team

Today, Morganstanley wants you to know that AI is a $6 trillion opportunity.

They’re not alone. The CEOs of Endeavor, Buzzfeed, Microsoft, Spotify, Youtube, Snap, Sports Illustrated, and CAA are all out there, pumping up the AI bubble with every hour that god sends, declaring that the future is AI.

https://www.hollywoodreporter.com/business/business-news/wall-street-ai-stock-price-1235343279/

Google and Bing are locked in an arms-race to see whose search engine can attain the speediest, most profound enshittification via chatbot, replacing links to web-pages with florid paragraphs composed by fully automated, supremely confident liars:

https://pluralistic.net/2023/02/16/tweedledumber/#easily-spooked

Blockchain was a solution in search of a problem. So is AI. Yes, Buzzfeed will be able to reduce its wage-bill by automating its personality quiz vertical, and Spotify’s “AI DJ” will produce slightly less terrible playlists (at least, to the extent that Spotify doesn’t put its thumb on the scales by inserting tracks into the playlists whose only fitness factor is that someone paid to boost them).

But even if you add all of this up, double it, square it, and add a billion dollar confidence interval, it still doesn’t add up to what Bank Of America analysts called “a defining moment — like the internet in the ’90s.” For one thing, the most exciting part of the “internet in the ‘90s” was that it had incredibly low barriers to entry and wasn’t dominated by large companies — indeed, it had them running scared.

The AI bubble, by contrast, is being inflated by massive incumbents, whose excitement boils down to “This will let the biggest companies get much, much bigger and the rest of you can go fuck yourselves.” Some revolution.

AI has all the hallmarks of a classic pump-and-dump, starting with terminology. AI isn’t “artificial” and it’s not “intelligent.” “Machine learning” doesn’t learn. On this week’s Trashfuture podcast, they made an excellent (and profane and hilarious) case that ChatGPT is best understood as a sophisticated form of autocomplete — not our new robot overlord.

https://open.spotify.com/episode/4NHKMZZNKi0w9mOhPYIL4T

We all know that autocomplete is a decidedly mixed blessing. Like all statistical inference tools, autocomplete is profoundly conservative — it wants you to do the same thing tomorrow as you did yesterday (that’s why “sophisticated” ad retargeting ads show you ads for shoes in response to your search for shoes). If the word you type after “hey” is usually “hon” then the next time you type “hey,” autocomplete will be ready to fill in your typical following word — even if this time you want to type “hey stop texting me you freak”:

https://blog.lareviewofbooks.org/provocations/neophobic-conservative-ai-overlords-want-everything-stay/

And when autocomplete encounters a new input — when you try to type something you’ve never typed before — it tries to get you to finish your sentence with the statistically median thing that everyone would type next, on average. Usually that produces something utterly bland, but sometimes the results can be hilarious. Back in 2018, I started to text our babysitter with “hey are you free to sit” only to have Android finish the sentence with “on my face” (not something I’d ever typed!):

https://mashable.com/article/android-predictive-text-sit-on-my-face

Modern autocomplete can produce long passages of text in response to prompts, but it is every bit as unreliable as 2018 Android SMS autocomplete, as Alexander Hanff discovered when ChatGPT informed him that he was dead, even generating a plausible URL for a link to a nonexistent obit in The Guardian:

https://www.theregister.com/2023/03/02/chatgpt_considered_harmful/

Of course, the carnival barkers of the AI pump-and-dump insist that this is all a feature, not a bug. If autocomplete says stupid, wrong things with total confidence, that’s because “AI” is becoming more human, because humans also say stupid, wrong things with total confidence.

Exhibit A is the billionaire AI grifter Sam Altman, CEO if OpenAI — a company whose products are not open, nor are they artificial, nor are they intelligent. Altman celebrated the release of ChatGPT by tweeting “i am a stochastic parrot, and so r u.”

https://twitter.com/sama/status/1599471830255177728

This was a dig at the “stochastic parrots” paper, a comprehensive, measured roundup of criticisms of AI that led Google to fire Timnit Gebru, a respected AI researcher, for having the audacity to point out the Emperor’s New Clothes:

https://www.technologyreview.com/2020/12/04/1013294/google-ai-ethics-research-paper-forced-out-timnit-gebru/

Gebru’s co-author on the Parrots paper was Emily M Bender, a computational linguistics specialist at UW, who is one of the best-informed and most damning critics of AI hype. You can get a good sense of her position from Elizabeth Weil’s New York Magazine profile:

https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html

Bender has made many important scholarly contributions to her field, but she is also famous for her rules of thumb, which caution her fellow scientists not to get high on their own supply:

Please do not conflate word form and meaning

Mind your own credulity

As Bender says, we’ve made “machines that can mindlessly generate text, but we haven’t learned how to stop imagining the mind behind it.” One potential tonic against this fallacy is to follow an Italian MP’s suggestion and replace “AI” with “SALAMI” (“Systematic Approaches to Learning Algorithms and Machine Inferences”). It’s a lot easier to keep a clear head when someone asks you, “Is this SALAMI intelligent? Can this SALAMI write a novel? Does this SALAMI deserve human rights?”

Bender’s most famous contribution is the “stochastic parrot,” a construct that “just probabilistically spits out words.” AI bros like Altman love the stochastic parrot, and are hellbent on reducing human beings to stochastic parrots, which will allow them to declare that their chatbots have feature-parity with human beings.

At the same time, Altman and Co are strangely afraid of their creations. It’s possible that this is just a shuck: “I have made something so powerful that it could destroy humanity! Luckily, I am a wise steward of this thing, so it’s fine. But boy, it sure is powerful!”

They’ve been playing this game for a long time. People like Elon Musk (an investor in OpenAI, who is hoping to convince the EU Commission and FTC that he can fire all of Twitter’s human moderators and replace them with chatbots without violating EU law or the FTC’s consent decree) keep warning us that AI will destroy us unless we tame it.

There’s a lot of credulous repetition of these claims, and not just by AI’s boosters. AI critics are also prone to engaging in what Lee Vinsel calls criti-hype: criticizing something by repeating its boosters’ claims without interrogating them to see if they’re true:

https://sts-news.medium.com/youre-doing-it-wrong-notes-on-criticism-and-technology-hype-18b08b4307e5

There are better ways to respond to Elon Musk warning us that AIs will emulsify the planet and use human beings for food than to shout, “Look at how irresponsible this wizard is being! He made a Frankenstein’s Monster that will kill us all!” Like, we could point out that of all the things Elon Musk is profoundly wrong about, he is most wrong about the philosophical meaning of Wachowksi movies:

https://www.theguardian.com/film/2020/may/18/lilly-wachowski-ivana-trump-elon-musk-twitter-red-pill-the-matrix-tweets

But even if we take the bros at their word when they proclaim themselves to be terrified of “existential risk” from AI, we can find better explanations by seeking out other phenomena that might be triggering their dread. As Charlie Stross points out, corporations are Slow AIs, autonomous artificial lifeforms that consistently do the wrong thing even when the people who nominally run them try to steer them in better directions:

https://media.ccc.de/v/34c3-9270-dude_you_broke_the_future

Imagine the existential horror of a ultra-rich manbaby who nominally leads a company, but can’t get it to follow: “everyone thinks I’m in charge, but I’m actually being driven by the Slow AI, serving as its sock puppet on some days, its golem on others.”

Ted Chiang nailed this back in 2017 (the same year of the Long Island Blockchain Company):

There’s a saying, popularized by Fredric Jameson, that it’s easier to imagine the end of the world than to imagine the end of capitalism. It’s no surprise that Silicon Valley capitalists don’t want to think about capitalism ending. What’s unexpected is that the way they envision the world ending is through a form of unchecked capitalism, disguised as a superintelligent AI. They have unconsciously created a devil in their own image, a boogeyman whose excesses are precisely their own.

https://www.buzzfeednews.com/article/tedchiang/the-real-danger-to-civilization-isnt-ai-its-runaway

Chiang is still writing some of the best critical work on “AI.” His February article in the New Yorker, “ChatGPT Is a Blurry JPEG of the Web,” was an instant classic:

[AI] hallucinations are compression artifacts, but — like the incorrect labels generated by the Xerox photocopier — they are plausible enough that identifying them requires comparing them against the originals, which in this case means either the Web or our own knowledge of the world.

https://www.newyorker.com/tech/annals-of-technology/chatgpt-is-a-blurry-jpeg-of-the-web

“AI” is practically purpose-built for inflating another hype-bubble, excelling as it does at producing party-tricks — plausible essays, weird images, voice impersonations. But as Princeton’s Matthew Salganik writes, there’s a world of difference between “cool” and “tool”:

https://freedom-to-tinker.com/2023/03/08/can-chatgpt-and-its-successors-go-from-cool-to-tool/

Nature can claim “conversational AI is a game-changer for science” but “there is a huge gap between writing funny instructions for removing food from home electronics and doing scientific research.” Salganik tried to get ChatGPT to help him with the most banal of scholarly tasks — aiding him in peer reviewing a colleague’s paper. The result? “ChatGPT didn’t help me do peer review at all; not one little bit.”

The criti-hype isn’t limited to ChatGPT, of course — there’s plenty of (justifiable) concern about image and voice generators and their impact on creative labor markets, but that concern is often expressed in ways that amplify the self-serving claims of the companies hoping to inflate the hype machine.

One of the best critical responses to the question of image- and voice-generators comes from Kirby Ferguson, whose final Everything Is a Remix video is a superb, visually stunning, brilliantly argued critique of these systems:

https://www.youtube.com/watch?v=rswxcDyotXA

One area where Ferguson shines is in thinking through the copyright question — is there any right to decide who can study the art you make? Except in some edge cases, these systems don’t store copies of the images they analyze, nor do they reproduce them:

https://pluralistic.net/2023/02/09/ai-monkeys-paw/#bullied-schoolkids

For creators, the important material question raised by these systems is economic, not creative: will our bosses use them to erode our wages? That is a very important question, and as far as our bosses are concerned, the answer is a resounding yes.

Markets value automation primarily because automation allows capitalists to pay workers less. The textile factory owners who purchased automatic looms weren’t interested in giving their workers raises and shorting working days. ‘ They wanted to fire their skilled workers and replace them with small children kidnapped out of orphanages and indentured for a decade, starved and beaten and forced to work, even after they were mangled by the machines. Fun fact: Oliver Twist was based on the bestselling memoir of Robert Blincoe, a child who survived his decade of forced labor:

https://www.gutenberg.org/files/59127/59127-h/59127-h.htm

Today, voice actors sitting down to record for games companies are forced to begin each session with “My name is ______ and I hereby grant irrevocable permission to train an AI with my voice and use it any way you see fit.”

https://www.vice.com/en/article/5d37za/voice-actors-sign-away-rights-to-artificial-intelligence

Let’s be clear here: there is — at present — no firmly established copyright over voiceprints. The “right” that voice actors are signing away as a non-negotiable condition of doing their jobs for giant, powerful monopolists doesn’t even exist. When a corporation makes a worker surrender this right, they are betting that this right will be created later in the name of “artists’ rights” — and that they will then be able to harvest this right and use it to fire the artists who fought so hard for it.

There are other approaches to this. We could support the US Copyright Office’s position that machine-generated works are not works of human creative authorship and are thus not eligible for copyright — so if corporations wanted to control their products, they’d have to hire humans to make them:

https://www.theverge.com/2022/2/21/22944335/us-copyright-office-reject-ai-generated-art-recent-entrance-to-paradise

Or we could create collective rights that belong to all artists and can’t be signed away to a corporation. That’s how the right to record other musicians’ songs work — and it’s why Taylor Swift was able to re-record the masters that were sold out from under her by evil private-equity bros::

https://doctorow.medium.com/united-we-stand-61e16ec707e2

Whatever we do as creative workers and as humans entitled to a decent life, we can’t afford drink the Blockchain Iced Tea. That means that we have to be technically competent, to understand how the stochastic parrot works, and to make sure our criticism doesn’t just repeat the marketing copy of the latest pump-and-dump.

Today (Mar 9), you can catch me in person in Austin at the UT School of Design and Creative Technologies, and remotely at U Manitoba’s Ethics of Emerging Tech Lecture.

Tomorrow (Mar 10), Rebecca Giblin and I kick off the SXSW reading series.

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[Image ID: A graph depicting the Gartner hype cycle. A pair of HAL 9000's glowing red eyes are chasing each other down the slope from the Peak of Inflated Expectations to join another one that is at rest in the Trough of Disillusionment. It, in turn, sits atop a vast cairn of HAL 9000 eyes that are piled in a rough pyramid that extends below the graph to a distance of several times its height.]

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