Interesting that no one has developed a “significantly superior” search tool to steal customers away from Google.
https://www.cnn.com/2024/08/05/business/google-loses-antitrust-lawsuit-doj/index.html
Google loses massive antitrust lawsuit over its search dominance
Google has violated US antitrust law with its search business, a federal judge ruled Monday, handing the tech giant a staggering court defeat with the potential to reshape how millions of Americans get information online and to upend decades of dominance.
“After having carefully considered and weighed the witness testimony and evidence, the court reaches the following conclusion: Google is a monopolist, and it has acted as one to maintain its monopoly,” US District Judge Amit Mehta wrote in Monday’s opinion. “It has violated Section 2 of the Sherman Act.”
(Related)
https://www.bbc.com/news/articles/cy9eegg0rdvo
What could Google monopoly ruling mean for you?
… The US government specifically wants "structural relief" - so what could that look like?
The nuclear option would be to demand Google breaks itself into smaller chunks - a move US officials have not ruled out.
… That might cause consternation for Alphabet executives. But as long as Google remained the default search engine on devices, the average consumer would be unlikely to notice the difference. [Leaving Google still ubiquitous? Bob]
… The US said Google was currently paying firms like Apple more than $10bn a year to be pre-installed as the default search engine on their devices or platforms.
The judge agreed.
The contention is, had Google never spent that money, the big firms might have been encouraged to develop their own search experience. [Not their business model… Bob]
… Something that's easier to imagine is some kind of choice screen, where people opening a browser for the first time are asked whether they'd like to use Google or an alternative like Microsoft's Bing. [Oh, let’s pick one we’ve never heard of! Bob]
I am old, therefore I am wise?
https://www.bespacific.com/why-wisdom-work-is-the-new-knowledge-work/
Why “Wisdom Work” Is the New “Knowledge Work”
Harvard Business Review: “Today the workforce is getting older, and the number of younger workers in positions of senior management is growing. These two developments might appear to spell trouble, in that they seem to set the generations against one another, but the author of this article argues that in fact they represent an important opportunity: If companies can figure out how to enable the intergenerational transfer of the wisdom that comes with age and experience, they can strengthen themselves — and the workplace as a whole.
Others might find this useful…
ABA Task Force releases report on AI’s opportunities, challenges for the legal profession
The American Bar Association’s Task Force on Law and Artificial Intelligence released a report today titled “Year I Report on the Impact of AI on the Practice of Law” that details the work of the group over the past year. The AI Task Force, created in August 2023 by ABA President Mary Smith, brought together lawyers and judges from across the ABA to address the impact of artificial intelligence on the legal profession and the practice of law, provide insights on developing and using AI in a trustworthy and responsible manner, and identify ways to address AI risks. The AI Task Force has concentrated its efforts on a broad array of legal issues related to AI that will affect the legal profession including:
the impact of AI on legal practice
ethical dilemmas
the challenges of generative AI
access to justice
the integration of AI in the courts
advancements in legal education
strategies for risk management and governance
Expert opinion?
https://www.technologyreview.com/2024/08/05/1095447/a-playbook-for-crafting-ai-strategy/
A playbook for crafting AI strategy
… Moving from initial forays into AI use, such as code generation and customer service, to firm-wide integration depends on strategic and organizational transitions in infrastructure, data governance, and supplier ecosystems. As well, organizations must weigh uncertainties about developments in AI performance and how to measure return on investment.
If organizations seek to scale AI across the business in coming years, however, now is the time to act. This report explores the current state of enterprise AI adoption and offers a playbook for crafting an AI strategy, helping business leaders bridge the chasm between ambition and execution.
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