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AI’s impact on productivity standards



AI's impact on productivity standards

Generative artificial intelligence (AI) has become a disruptive force in the rapidly changing field of technology, completely changing our ideas about productivity and ushering in a new era of work.

The Present Environment: A Change in Paradigm

The rapid development of AI is putting us on the cusp of a profound revolution in the workforce and economy. Automation is becoming ingrained in a large percentage of jobs, especially knowledge-based jobs. AI has the potential to displace a significant number of workers, so this trend is not just a distant possibility but is already materializing.

The Three Types of Future Employment: A Shifted Terrain

As adjust to this AI-driven revolution, three new areas of focus for future research emerge:

Work That Is Human-Centric:

Even though AI is still automating tasks, some roles are inherently human and cannot be automated. These jobs, which frequently require creativity, empathy, and people skills, will still be crucial in the workforce driven by AI.

Work Assisted by Humans:

In this category, AI and humans work together harmoniously, taking advantage of one another’s advantages to produce previously unheard-of levels of productivity. AI manages execution, analysis of data, and repetitive tasks; humans supply the creative spark and strategic direction. It is in this synergy that productivity increases dramatically, with little human input producing large amounts of AI-driven output.

AI-Powered Autonomous Tasks:

Completely run and operated by AI systems, this sector is growing quickly and will account for a large amount of the workload. Artificial intelligence (AI) systems are expected to revolutionize productivity by optimizing resource allocation, streamlining processes, and making data-driven decisions.

AI Augmentation Imperative: Embracing the Future

AI adoption in the workplace is not only a desirable improvement, but also a necessary precondition for the industry’s continued existence. The biggest names in the global market will be distinguished from those who have not adopted AI by their quick adoption of AI technologies. Maintaining a competitive edge, assuring economic resilience, and promoting innovation all depend on this transformation.

The way work is being revolutionized by AI augmentation, or the smooth integration of AI capabilities into human work processes. It is about enabling people to accomplish more than they have in the past, not about substituting machines for human labor. Numerous advantages come with AI augmentation, such as increased output, increased precision and effectiveness, customized experiences, increased innovation and discovery, better decision-making, global reach, and scalability.

It is clear that AI workforce enablement is urgently needed. Those who are unable to adjust to this change run the risk of becoming outdated. Those who embrace AI and use its potential to achieve long-term success and growth will own the future of work.

AI’s Function in Optimization and Problem-Solving: Boosting Human Ingenuity

Artificial intelligence (AI) systems are getting better at recognizing problems and finding solutions on their own, freeing up human resources for more valuable, strategic, and creative endeavors. This change signifies an expansion of human potential rather than the supplanting of human labor. AI frees up humans to concentrate on activities that call for higher order cognitive abilities, like creativity, problem-solving, and judgment.

AI and the Economy: A New Productivity Paradigm

According to projections, artificial intelligence (AI) could replace up to 30% of all jobs by 2030, and by 2045, a sizable amount of knowledge work may be automated. It is clear that AI-enabled workforces are urgently needed, as the ability of businesses and nations to integrate AI will determine their future.

Global Data and Perspectives: An Overview of the AI-Driven Future

  • Productivity gains are the main driver of AI’s potential $15.7 trillion global economic contribution by 2030, according to a PwC report.
  • According to an Accenture study, AI could increase corporate productivity by as much as 40%.
  • A McKinsey & Company study shows that at least 30% of jobs can be technically automated. This represents about 60% of all occupations.

Accepting Generative AI: The Secret to Flexibility and Efficiency

Generative AI’s influence on productivity is growing as it permeates more and more aspects of the workplace. But generative AI’s real power isn’t just in its ability to automate processes; it also has the capacity to completely change the way work.

In order to fully benefit from generative AI, people need to adopt an attitude of flexibility and never-ending learning. The competencies needed to use generative AI tools efficiently are dynamic and will change as the field of AI technology develops. To stay ahead of the curve, people must be willing to adapt their skill sets and embrace lifelong learning.

It’s crucial to remember that generative AI is a potent tool that can enhance human abilities and raise productivity to unprecedented levels; it most likely won’t replace human creativity and invention. Through the adoption of generative AI and a continuous learning mindset, people can optimize their productivity and set themselves up for success in the dynamic AI-driven industry.


Biden, Kishida Secure Support from Amazon and Nvidia for $50 Million Joint AI Research Program



As the two countries seek to enhance cooperation around the rapidly advancing technology, President Joe Biden and Japanese Prime Minister Fumio Kishida have enlisted Inc. and Nvidia Corp. to fund a new joint artificial intelligence research program.

A senior US official briefed reporters prior to Wednesday’s official visit at the White House, stating that the $50 million project will be a collaborative effort between Tsukuba University outside of Tokyo and the University of Washington in Seattle. A separate collaborative AI research program between Carnegie Mellon University in Pittsburgh and Tokyo’s Keio University is also being planned by the two nations.

The push for greater research into artificial intelligence comes as the Biden administration is weighing a series of new regulations designed to minimize the risks of AI technology, which has developed as a key focus for tech companies. The White House announced late last month that federal agencies have until the end of the year to determine how they will assess, test, and monitor the impact of government use of AI technology.

In addition to the university-led projects, Microsoft Corp. announced on Tuesday that it would invest $2.9 billion to expand its cloud computing and artificial intelligence infrastructure in Japan. Brad Smith, the president of Microsoft, met with Kishida on Tuesday. The company released a statement announcing its intention to establish a new AI and robotics lab in Japan.

Kishida, the second-largest economy in Asia, urged American business executives to invest more in Japan’s developing technologies on Tuesday.

“Your investments will enable Japan’s economic growth — which will also be capital for more investments from Japan to the US,” Kishida said at a roundtable with business leaders in Washington.

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OnePlus and OPPO Collaborate with Google to Introduce Gemini Models for Enhanced Smartphone AI



As anticipated, original equipment manufacturers, or OEMs, are heavily integrating AI into their products. Google is working with OnePlus, OPPO, and other companies to integrate Gemini models into their smartphones. They intend to introduce the Gemini models on smartphones later this year, becoming the first OEMs to do so. Gemini models will go on sale later in 2024, as announced at the Google Cloud Next 24 event. Gemini models are designed to provide users with an enhanced artificial intelligence (AI) experience on their gadgets.

Customers in China can now create AI content on-the-go with devices like the OnePlus 12 and OPPO Find X7 thanks to OnePlus and OPPO’s Generative AI models.

The AI Eraser tool was recently made available to all OnePlus customers worldwide. This AI-powered tool lets users remove unwanted objects from their photos. For OnePlus and OPPO, AI Eraser is only the beginning.

In the future, the businesses hope to add more AI-powered features like creating original social media content and summarizing news stories and audio.

AndesGPT LLM from OnePlus and OPPO powers AI Eraser. Even though the Samsung Galaxy S24 and Google Pixel 8 series already have this feature, it is still encouraging to see OnePlus and OPPO taking the initiative to include AI capabilities in their products.

OnePlus and OPPO devices will be able to provide customers with a more comprehensive and sophisticated AI experience with the release of the Gemini models. It is important to remember that OnePlus and OPPO already power the Trinity Engine, which makes using phones incredibly smooth, and use AI and computational mathematics to enhance mobile photography.

By 2024, more original equipment manufacturers should have AI capabilities on their products. This is probably going to help Google because OEMs will use Gemini as the foundation upon which to build their features.

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Meta Explores AI-Enabled Search Bar on Instagram



In an attempt to expand the user base for its generative AI-powered products, Meta is moving forward. The business is experimenting with inserting Meta AI into the Instagram search bar for both chat with AI and content discovery, in addition to testing the chatbot Meta AI with users in nations like India on WhatsApp.

When you type a query into the search bar, Meta AI initiates a direct message (DM) exchange in which you can ask questions or respond to pre-programmed prompts. Aravind Srinivas, CEO of Perplexity AI, pointed out that the prompt screen’s design is similar to the startup’s search screen.

Plus, it might make it easier for you to find fresh Instagram content. As demonstrated in a user-posted video on Threads, you can search for Reels related to a particular topic by tapping on a prompt such as “Beautiful Maui sunset Reels.”

Additionally, TechCrunch spoke with a few users who had the ability to instruct Meta AI to look for recommendations for Reels.

By using generative AI to surface new content from networks like Instagram, Meta hopes to go beyond text generation.

With TechCrunch, Meta verified the results of its Instagram AI experiment. But the company didn’t say whether or not it uses generative AI technology for search.

A Meta representative told TechCrunch, “We’re testing a range of our generative AI-powered experiences publicly in a limited capacity. They are under development in varying phases.”

There are a ton of posts available discussing Instagram search quality. It is therefore not surprising that Meta would want to enhance search through the use of generative AI.

Furthermore, Instagram should be easier to find than TikTok, according to Meta. In order to display results from Reddit and TikTok, Google unveiled a new perspectives feature last year. Instagram is developing a feature called “Visibility off Instagram” that could allow posts to appear in search engine results, according to reverse engineer Alessandro Paluzzi, who made this discovery earlier this week on X.

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