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Beck M: Artificial Intelligence in Sales

Artificial Intelligence in Sales

AI Solutions for Every Stage of the Sales Cycle: Use Cases, Tools, and Implementation

Corporate Social Responsibility (CSR) is undergoing a profound transformation as artificial intelligence (AI), automation, digital platforms, and other emerging technologies reshape the way organizations operate, create value, and engage with society. In an increasingly interconnected and technology-driven world, traditional philanthropy-centered approaches to CSR are giving way to more integrated models that emphasize ethical innovation, responsible governance, and sustainable development. As businesses adopt advanced technologies at an unprecedented pace, critical challenges related to ethical labor practices, algorithmic bias, digital inclusion, workforce transformation, and environmental sustainability have come to the forefront. Addressing these issues requires a reimagining of CSR as a strategic framework capable of balancing technological progress with social responsibility. This evolving landscape highlights the need for approaches that foster inclusive growth, accountability, and long-term societal impact in the digital age. CSR Approaches to AI, Automation, and the Future of Ethical Labor examines how CSR can be redefined to meet the challenges and opportunities created by AI, automation, and digital transformation. By fostering a deeper understanding of technology-driven responsibility, the book supports the development of more equitable, resilient, and sustainable business ecosystems. Covering topics such as brand attitude, corporate transparency, and sustainable development goals, this book is an indispensable academic resource for graduate and doctoral students, corporate social responsibility (CSR) professionals, sustainability managers, business leaders, executives, corporate decision-makers, human resource managers, workforce development specialists, policymakers, and more.

CSR Approaches to AI, Automation, and the Future of Ethical Labor

The Fight for the Future of Work

We Are Not Machines

Second edition, revised and expanded. Reporting current through September 1, 2026.
On a January morning too cold to hold the inauguration outdoors, the row behind the President's family was reserved for technology. Musk closest to the President. Bezos beside him. Pichai, Zuckerberg, Brin, Cook. Their companies were worth roughly fifteen trillion dollars. Two rows ahead of the cabinet nominees.
Nothing about what followed was hidden.
The most powerful people in technology have described, in public, the world they intend to build - one in which nearly everything a person does for a living is done by artificial intelligence and robotics. The desk jobs go first. The AI learns the work. A company that can hold its output while shedding salaries will shed the salaries, and once one company does it, its competitors follow or lose. This was not a forecast. It was stated plainly, in business plans and boardrooms, in manifestos and earnings calls and federal contracts. It was a plan.
James D. Steele took the architects at their word, and one question would not let him go. In a world of eight billion people, most of them already barely holding onto the work they had, why were we in such a hurry to displace ourselves? And why fastest of all in the white-collar work that was supposed to be safe - the offices, the studios, the law firms, the accounting floors?
Willingly to the Slaughter We Go traces how a small circle of technologists and a parallel movement of political operatives converged on a single project: to replace American labor, institutions, and judgment with artificial intelligence, and to carry it from Silicon Valley into the center of nearly every business in the country. Nobody had to conspire. The market did the work. A corporation exists to cut cost and widen margin, and a worker who can be replaced for pennies on the dollar will be.
Steele follows both sides - the architects building the machine, and the copywriter, the associate, the analyst, the auditor it is built to replace - and asks how a society talks itself into automating not just the assembly line but the one faculty that was always supposed to keep it safe: human reasoning itself.
The future here is not predicted. It is reported.
Written with an AI co-author, and candid about what that cost. The Note on Method names every fabrication the machine introduced and every one that was removed.

Silicon Valley Told Us It Would Automate Our Jobs. We Applauded Because AI Was Cool

Willingly to the Slaughter We Go

European Union and its Neighbours in a Globalized World

Case Study of Bosnia and Herzegovina

Artificial Intelligence and Tortious Liability

Uncover the psychological shortcuts that shape every decision you make - and learn how to use them in business. Voted #1 in the BBH World Cup of Advertising Books Winner of the Sales and Marketing Category at the Business Book Awards Before you can influence decisions, you need to understand what drives them. The Choice Factory is an essential read for anyone who wants to learn. By observing a typical day of decision-making, from trivial food choices to significant work-place moves, behavioural science expert Richard Shotton investigates how our behaviour is shaped by psychological shortcuts. With a clear focus on the marketing potential of knowing what makes us tick, he draws on evidence from academia, real-life ad campaigns and his own original research. Entertaining and highly accessible, The Choice Factory is made up of 25 short chapters, each addressing a cognitive bias and outlining simple ways to apply it to your own marketing challenges. Shotton interviews some of the smartest and most influential thinkers in advertising, including Rory Sutherland, Lucy Jameson and Mark Earls. Covering everything from priming to the pratfall effect, charm pricing to the curse of knowledge, with The Choice Factory as your guide it has never been easier to apply the science of behavioural economics to marketing. 'Actionable, memorable and powerful' - Seth Godin, bestselling author of This is Marketing Now part of the Harriman House Essentials Collection, a series showcasing the very best of business and finance books.

Harriman House Essentials

The Choice Factory

Advanced Studies in Diginomics and Digitalization

Artificial Intelligence, Data, and Platforms

Regulatory Competition in the Digital Economy

The Palgrave Handbook of Breakthrough Technologies in Contemporary Organisations

A Strategic Transformation of Mobility and Logistics

Low-Altitude Economy

The Promise and Peril of Navigating Our Agentic AI Future

When Machines Act

Melinda J. Bush's debut book focuses on what women in business had to face in the 70's, 80's and 90's that still holds true for business women in the 21st century.

The author's true stories offer valuable insights with a sense of humor that the reader will enjoy.

AND her key takeaways for each chapter reveal the next steps readers need to incorporate into their own daily lives.

Don't Just Sit There "Sell Something!"

In Time to Tax the Robots, the author, George Randolph Dirth, takes on the arrival of the AI revolution, its impact on the American economy, our workforce and its implications for our tax revenue. He quickly concludes that due to our weakened fiscal status, our high level of demographic uncertainty and the potential for significant job dislocation, it is necessary to implement taxation of AI, now. His analysis suggests that the AI-era presents a period of inflection, from which we are likely to emerge with a high productivity-low tax revenue economy, which may struggle to fund basic government services, and further exacerbate our fiscal weakness. He explains how the Arc of the Production Function-depicting the evolution in contributions to output of labor, capital, technology and now AI-has significantly changed in the post WW2 era, while our taxation mechanism has increased taxes on the individual while their share of income has decreased. This grand divergence-between the recipients of income and their share of taxation-unlocks the understanding of not just how our public debt has ballooned, but also how income inequality--also known as our affordability crisis--has emerged as a socially destructive and divisive force.Finally, since we compete in a global marketplace, he offers an update on Chinese AI models' increasingly substantial gains in U.S. market share - much of it built on a specific alternativemodel architecture, originally published by American researchers in 2017.

How to update our legacy system of taxation for the era of AI, negative fertility, and a declining labor force

Time to Tax the Robots

Artificial Intelligence in Sales

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