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4 AI terms Nvidia investors should know

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4 AI terms Nvidia investors should know

Despite some volatility in the stock market so far in August, Nvidia stock (NVDA) remains up over 150% this year.

Driving the stock is Nvidia’s role in supplying chips to major tech giants like Apple (AAPL), Amazon (AMZN), and Microsoft (MSFT) that are crucial for artificial intelligence technology amid the broader generative AI boom.

Over a third of the S&P 500 (^GSPC) market cap gains in the first half of 2024 could be attributed to Nvidia. For some investors, the concentration of gains in a few stocks such as Nvidia seems risky. It was a point that was underlined earlier this month by a stock rout that briefly pushed the volatility index (^VIX) above 60 and shares of Nvidia down by as much as 10%.

Stocks ended up recovering, but the period offered a reminder to investors that they could seek AI opportunities elsewhere.

For those looking to gain an edge and diversify their tech holdings, understanding AI’s core technology and terminology is essential.

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Here’s a breakdown of a few of the terms you need to know to invest in the AI boom:

Inference

Inference is AI’s moment of truth. It’s when an AI model like ChatGPT generates an answer to a prompt based on its previous training and learning. The quality of an AI system’s inference relies heavily on its underlying technology stack, including the powerful chips that drive it.

FILE - President and CEO of Nvidia Corporation Jensen Huang delivers a speech during the Computex 2024 exhibition in Taipei, Taiwan, June 2, 2024. A rebound for Nvidia on Tuesday, June 25, 2024, is helping keep U.S. indexes close to their records Tuesday. (AP Photo/Chiang Ying-ying)

President and CEO of Nvidia Corporation Jensen Huang delivers a speech during the Computex 2024 exhibition in Taipei, Taiwan, on June 2, 2024. (AP Photo/Chiang Ying-ying) (ASSOCIATED PRESS)

Compute

Compute power is the driving force behind an AI system’s success, similar to how horsepower propels a car. The greater the compute power, the more efficient and faster the inference process becomes.

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Processing power, memory, and storage all fuel compute power, and chipmakers tend to focus on increased compute power for new chip releases because improvements in compute power with each chip generation could allow companies to charge more, which typically bodes well for future profit margins.

GPUs

Graphics processing units, or GPUs, are advanced and expensive chips that power AI. Their quality can help determine the speed of AI computations. Nvidia, which began working on GPUs in the ’90s, owns over 80% of the GPU market and mentioned the term 19 times in its first quarter earnings presentation. Nvidia’s GPUs have increased AI inference performance by a thousand times over the last decade.

Hyperscalers

Big Tech companies like Microsoft, Alphabet (GOOG, GOOGL), Meta (META), and Amazon are considered hyperscalers, or those capable of rapidly scaling AI. With products and services such as Microsoft’s Copilot, Alphabet’s Gemini, and Meta’s Llama, these companies are significant both as consumers of AI chips and competitors to chipmakers.

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LUMIQ Raises Strategic Funding to Become the AI Decision Layer for Financial Services

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LUMIQ Raises Strategic Funding to Become the AI Decision Layer for Financial Services

While most AI in financial services remains advisory, LUMIQ has built the layer that owns the decision — autonomous, auditable AI agents making regulated calls in production at leading banks, insurers, and capital markets firms. Today, LUMIQ serves clients across India, the United States, and Southeast Asia — leading institutions across insurance, banking, and capital markets.

NEW YORK and SINGAPORE, June 19, 2026 /PRNewswire/ — LUMIQ, an AI-native financial services company, today announced a strategic funding round to scale auto-decisioning for financial institutions across the United States and Southeast Asia. The round was led by Bajaj Finserv, one of India’s largest and most diversified financial services groups, with participation from existing investor Info Edge Ventures.

LUMIQ raises Strategic Funding to become AI decision layer for financial services

Right now, thousands of customers are waiting for a policy to be issued, a loan to be disbursed, a claim to be adjudicated, because somewhere an FSI employee is drowning in decisions, held back by the risk of getting it wrong. Today, when e-commerce delivers the same day, banks and insurers still decide in weeks. We built LiteCone to take that burden: AI decides the routine cases, completely and accountably, so humans spend their judgment on the one case that actually needs it. This round lets us bring that to every financial institution in the markets that matter most.
Shoaib Mohammad, Co-founder and CEO, LUMIQ

From AI that assists to AI that decides

For decades, financial institutions have bought technology that made their people faster — faster data, faster scoring, faster copilots. The decision still landed on a human. LUMIQ is changing that. Through its LiteCone platform, the company deploys AI agents that read the file, apply the institution’s own guidelines, and reach the decision end to end — escalating only the cases that genuinely require human judgment. The output is not a recommendation. It is a decision, with full reasoning attached, cross-referenced to policy, and defensible under audit.

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The results in production speak clearly. At a leading life insurer, LUMIQ’s LEO agent decides 75–80% of underwriting cases with zero human touch, reduced policy issuance cost by roughly 25%, and compressed turnaround from days to under eight minutes — running 24×7 with complete auditability. Across its client base spanning insurance, banking, and capital markets in India, the US, and Southeast Asia, LUMIQ now processes millions of decisions annually.

LiteCone turns a real financial-services role into a working AI agent in weeks. Every agent we deploy is consistent, explainable, compliant, and auditable by design — not as an afterthought. This capital lets us go deeper on the platform and broader across roles. And through our cloud and AI lab partnerships, institutions will increasingly find LiteCone already embedded in the platforms they run today.
Vaibhav Dobriyal, Co-founder and Chief Product Officer, LUMIQ

This round funds four priorities: expanding go-to-market in the US and Southeast Asia; deepening LiteCone’s decisioning capabilities; extending the agent workforce across more financial-services roles; and building a partnership ecosystem with cloud hyperscalers, AI labs, and core banking and insurance platforms so LiteCone is embedded where institutions already run.

LUMIQ’s investors backed the round for the same reason its customers adopt LiteCone: agents already deciding in production, with auditability and control built in.

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As a financial-services group, we know how much rests on getting regulated decisions right, at speed and at scale. LUMIQ has built AI agents that decide in production with auditability and control built in, the capability the industry has been moving toward. We are proud to lead this round and to support the team’s expansion across the US and Southeast Asia.
Lakshmi Iyer, Group President – Investments & CEO, Bajaj Alternates

Our conviction is grounded in what LUMIQ has already built. Their AI agents aren’t just built for the future. They are operating in production today, at speed. This combination is rare, and its value will only compound as the company scales globally.
Girish Jhunjhunwala, Fund Manager – PE and VC Investments, Bajaj Alternates

Financial services is one of the hardest categories to crack — regulated, risk-averse, and unforgiving of hype. LUMIQ has put agentic AI into live financial-services workflows and earned the trust of large institutions across the US, Southeast Asia and India. That is how a category-defining company in financial-services AI gets built, and we are proud to keep backing the team as they scale globally.
Kitty Agarwal, Partner, Info Edge Ventures

LUMIQ’s goal is to lead one category: auto-decisioning at production scale for financial services. Agents that act, not assist, and never compromise audit, compliance, or predictability.

About LUMIQ
LUMIQ is an AI-native financial services company. Through its LiteCone platform and a growing workforce of production AI agents, LUMIQ turns real financial-services roles — insurance underwriter, credit underwriter, claims adjudicator — into agents that are consistent, explainable, compliant, and auditable. The company pairs deep domain expertise across banking, insurance, and capital markets with frontier AI. LUMIQ employs over 350 AI and data specialists, and has offices in New Jersey, Singapore, and Delhi NCR (India).

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Web: www.lumiq.ai

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View original content:https://www.prnewswire.com/apac/news-releases/lumiq-raises-strategic-funding-to-become-the-ai-decision-layer-for-financial-services-302805280.html

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Consumer confidence plunges among younger adults

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Consumer confidence plunges among younger adults

Consumer confidence has plunged among traditionally optimistic younger adults amid fears for their personal finances and the wider economy, figures show.

GfK’s long-running Consumer Confidence Index remained unchanged at an overall score of minus 23 in June.

However, the analyst said this was was “misleading as, beneath the surface, there are new signs that confidence is weakening”.

Source: GfK

Neil Bellamy, consumer insights director at GfK, said: “The biggest fall this month is among those aged 16 to 29, traditionally one of the most optimistic groups.

“Here confidence has dropped 11 points over the past month to minus two, the lowest level seen for two years, driven by large falls in views on both their own personal finances and the wider economy.

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“More broadly, there are now no demographic groups with a positive confidence score, including higher-income households earning £50,000 or more, who have slipped back into negative territory as of June.

“Confidence remains subdued and vulnerable to further economic or political uncertainty.”

Sourve: GfK
Sourve: GfK

Overall, confidence in personal finances over the coming year remained flat at minus two, four points lower than this time last year.

The measures of both personal finances and the economy over the previous 12 months were both slightly down, by two points and three points respectively, “reflecting the sense that things have been extremely tough over the last year for so many”, GfK said.

The only measure to increase was expectations for the wider economy over the next 12 months, up two points to minus 36 but still eight points below this time last year.

The major purchase index, an indicator of confidence in buying big ticket items, remained at minus 20, four points lower than June last year.

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How US-Iran peace deal will affect our cost of living

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How US-Iran peace deal will affect our cost of living

“Ships of the World, start your engines. Let the oil flow!” said Donald Trump on social media after he announced the signing of an interim peace deal with Iran on Sunday. Under the agreement – which Iran acknowledged included a 60-day negotiating period for a final deal – the president said that following retrieval of mines, there would be a “toll free opening” of the Strait of Hormuz.

But many of the finer details remain “unclear”, said The Guardian. There are questions over the “exact timing of the reopening of the maritime route, who will oversee safe passage and whether any conditions will be applied”.

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