3Q Wealth

Artificial Intelligence

Creating The AssemblyLine For KnowledgeWorkers

Generative AI made waves this year, from DALL-E-2 to ChatGPT. These tools are
improving the productivity of knowledge workers—~2x in the case of AI coding
AI training cost declines continued at an annual rate of 70%, the cost to train a large
language model to GPT-3 level performance collapsing from $4.6 million in 2020 to
$450,000 in 2022..We expect cost declines to continue at a 70% rate through2030.
AI should increase the productivity of knowledge workers more than 4-foldby 2030.At
100% adoption, AI could increase global labor productivity ~$200 trillion, dwarfing
the ~$32trillion intotalknowledgeworker salaries.
The effects of Artificial Intelligence in everyday life are rising, whether we are
aware of it or not.The impact of AI will be seen in almost every industry around the
globe. Indeed, that includes physicians, attorneys, and others.






Software engineerscompleted a coding taskin lessthan half the time with AI codingassistant GitHub Copilot.

According to a research,AI can createa graphic designfor just$0.08** in minutes —adi minimiscost comparedto $150for human labor.

Advanced Battery Systems

Enabling Autonomous Mobility systems that collapses the cost

Declining costs of Advanced Battery Technology should cause an explosion in form factors, enabling Autonomous
Mobility systems that collapse the cost of getting people and things from place to place. Electric drivetrain cost
declines should unlock micro-mobility and aerial systems, including flying taxis, enabling business models that
transform the landscape of cities. Autonomy should reduce the cost of taxi, delivery, and surveillance by an order of
magnitude, enabling frictionless transport that will increase the velocity of e-commerce and make individual car
ownership the exception rather than the rule. These innovations combined with large-scale stationary batteries should
cause a transformation in energy, substituting electricity for liquid fuel and pushing generation infrastructure
towards the edge of the network.

Digital Consumers

Global Hours Spent on Mobile Social Apps* (iOS and Android)

Transitioning To Online Leisure​

Digital Wallet

Disintermediating Traditional Banking

Payment MethodsAsShare Of Global E-Commerce Volume

World Economic Calender


GainingTraction In The Midst Of Crisis​

The future of the semiconductor industry will be shaped by a range of disruptive themes, with AI chips
being one of the themes that will have a significant impact on semiconductor companies.
AI systems need to process massive amounts of data quickly. While the performance of generalpurpose chips has improved enough to kick-start a new generation of AI technology, they cannot keep
up with the exponential increase in the volume of data that AI systems process. As a result, chip design
emphasis has shifted from a race to place more transistors onto a square millimeter of silicon to focus
on building microprocessors as systems, made up of multiple components, each of which is designed to
perform a specialized task.
As the tech industry’s customer base consolidates, it designs more and more of its own chips and sends
them straight to foundries for manufacture. This is partly because merchant market suppliers have
disappointed when it comes to delivering sufficiently powerful, power-efficient chips to support AI
workloads, and partly because these companies want to gain a proprietary edge with their tech stack.








Insights from Top Ranked Companies


Nvidia has dominated the GPU market for years. In May 2020, Nvidia unveiled its next-generation GPU technology called Ampere, which will become the foundation for its AI strategy and product portfolio. Ampere features the third generation of Tensor Core, a chip that’s purpose-built for accelerating AI. The A100 GPU is the first AI accelerator based on the Ampere architecture and will offer unified support for training and inference. On the software front, Nvidia unveiled Jarvis, a new
application framework for building conversational AI services. In September 2020, Nvidia announced plans to acquire UK-based chipmaker Arm for $40bn.


Taiwan Semiconductor Manufacturing Co., or TSMC, is the world’s largest contract manufacturer of the semiconductor chips—otherwise known as integrated circuits, or just chips—that power our phones, laptops, cars, watches, refrigerators and more. Its
clients include Apple, Intel, Qualcomm, AMD and Nvidia. The $550 billion firm today controls more than half the global market for made-to-order chips and has an even tighter stranglehold on the most advanced processors, with more than 90% of market share by some estimates. The scarcity of chips has thrust TSMC from a largely anonymous services company to the center of a global tussle over the future of technology; the firm will play an outsize role in determining what the world looks like at the end of this decade.


Creating The Potential For Super-Exponential Growth

The term “datafication” refers to the process of turning various aspects of our lives, activities, and interactions into digital data. This data can then be collected, analyzed, and utilized to gain insights, make informed decisions, and optimize processes. The rise of datafication has been a significant trend driven by advancements in technology, particularly in areas such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and machine learning.

Here are some key points to understand about the rise of datafication:

While datafication offers numerous benefits, it also raises important concerns. Data privacy, security, and ethical considerations are paramount, as the collection and use of personal data raise questions about how information is stored, shared, and protected. Also, the widespread use of data raises ethical concerns related to consent, data ownership, and potential biases in algorithms. Striking a balance between data utilization and protecting individual rights is a significant challenge.

Electric Vehicles

DefyingThe Skeptics With Exponential Growth

Robotics & 3D Printing

Promoting A Manufacturing Revolution

Orbital Aerospace

Edit Column Enabling Global Connectivity

Indian Industry Looks Forward to a RecordBreaking Future


Over the past few years, India’s industrial landscape has witnessed a noteworthy evolution characterized by a dynamic transition towards embracing innovation and adopting advanced technologies. This transformation has positioned the country as a prominent destination for international enterprises, owing to its highly skilled workforce, cost-efficient  operations, and a government that actively supports this shift. Consequently, India is now asserting itself as a significant participant in the worldwide business arena, presenting promising avenues for B2B alliances and cooperative ventures.

Tech-Manufacturing Boom

Since the 1980s, businesses across the globe have been outsourcing various services such as software
development, customer support, and business process management to India. With the increasing competitiveness in global labor markets and the growing popularity of distributed work models, India’s role as the world’s outsourcing destination has gained renewed momentum. In the next decade, it is anticipated that the number of individuals employed in India for overseas jobs will experience substantial growth, potentially doubling to exceed 11 million.
Furthermore, India is on the verge of emerging as a global manufacturing powerhouse. This transformation is being facilitated by corporate tax reductions, government incentives, and significant investments in
infrastructure, all of which are driving capital inflow into the manufacturing sector. Recognizing the
substantial potential of a globally competitive manufacturing industry to stimulate economic growth and employment, the Indian government is actively promoting and supporting this sector.

Country’s electronics manufacturing journey

PLI Scheme​

India’s Ranking on WIPO Global Innovation Index​

With a strong emphasis on advanced technology, the Indian government initiated a Production Linked Incentive scheme in the fiscal year 2021-22. This program is aimed at bolstering local manufacturing across 14 strategic sectors, including automotive manufacturing and components, specialized steel, electronics, batteries,
pharmaceuticals, electric vehicles, and drones. In addition to this, a separate fund of $10 billion was allocated to encourage domestic production of semiconductors and display systems. Currently, India relies entirely on imports to meet its semiconductor requirements. Deloitte forecasts that the Indian semiconductor market will reach a value of $55 billion by 2026, with a significant portion, over 60%, being driven by three key industries:
smartphones and wearables, automotive components, and computing and data storage. In 2022, the Semicon India program was introduced, inviting semiconductor companies to establish and operate their manufacturing facilities in India. Both international and
domestic players have responded positively to this initiative. Moreover, New Delhi has eased regulations to position India as a prominent hub for drone manufacturing by the year 2030. The country has emerged as the second-largest mobile phone manufacturer in the world with more than 200 mobile phone manufacturing units having been set up on its soil. With some commodities gaining aspirational value and an increase in discretionary spending, this decade is poised to bring major market opportunities for global players to
enter India and leverage its markets along with its young demography.