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The global economy is at a critical crossroads with a number of interlocking challenges and crises running in parallel. The uncertainty around how Russia`s war on Ukraine will play out this year and the war`s role in creating global instability means that the trouble on the inflation front is not over yet.

New York, April 19, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Edge Artificial Intelligence Chips Industry" - https://www.reportlinker.com/p06031416/?utm_source=GNW Food and fuel inflation will remain a persistent economic problem. Higher retail inflation will impact consumer confidence and spending. As governments combat inflation by raising interest rates, new job creation will slowdown and impact economic activity and growth. Lower capital expenditure is in the offing as companies go slow on investments, held back by inflation worries and weaker demand. With slower growth and high inflation, developed markets seem primed to enter into a recession. Fears of new COVID outbreaks and Chinas already uncertain post-pandemic path poses a real risk of the world experiencing more acute supply chain pain and manufacturing disruptions this year. Volatile financial markets, growing trade tensions, stricter regulatory environment and pressure to mainstream climate change into economic decisions will compound the complexity of challenges faced. Year 2023 is expected to be tough year for most markets, investors and consumers. Nevertheless, there is always opportunity for businesses and their leaders who can chart a path forward with resilience and adaptability.

Global Edge Artificial Intelligence Chips Market to Reach $16.7 Billion by 2030

In the changed post COVID-19 business landscape, the global market for Edge Artificial Intelligence Chips estimated at US$4.7 Billion in the year 2022, is projected to reach a revised size of US$16.7 Billion by 2030, growing at aCAGR of 17.1% over the period 2022-2030. CPU, one of the segments analyzed in the report, is projected to record 16.1% CAGR and reach US$6.4 Billion by the end of the analysis period. Taking into account the ongoing post pandemic recovery, growth in the GPU segment is readjusted to a revised 14.8% CAGR for the next 8-year period.

The U.S. Market is Estimated at $1.4 Billion, While China is Forecast to Grow at 16.6% CAGR

The Edge Artificial Intelligence Chips market in the U.S. is estimated at US$1.4 Billion in the year 2022. China, the world`s second largest economy, is forecast to reach a projected market size of US$2.9 Billion by the year 2030 trailing a CAGR of 16.6% over the analysis period 2022 to 2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 14.6% and 13.6% respectively over the 2022-2030 period. Within Europe, Germany is forecast to grow at approximately 10.4% CAGR.

Select Competitors (Total 33 Featured)- Advanced Micro Devices, Inc- Alphabet Inc.- Apple Inc.- Arm Limited- HiSilicon(ShanghAI) Technologies CO., Limited- Intel Corporation- Mythic Ltd.- NVIDIA Corporation- Samsung Electronics Co., Ltd.- Xilinx Inc.

Read the full report: https://www.reportlinker.com/p06031416/?utm_source=GNW

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEWInfluencer Market InsightsWorld Market TrajectoriesImpact of Covid-19 and a Looming Global RecessionEdge Artificial Intelligence Chips - Global Key CompetitorsPercentage Market Share in 2022 (E)Competitive Market Presence - Strong/Active/Niche/Trivial forPlayers Worldwide in 2022 (E)

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS

4. GLOBAL MARKET PERSPECTIVETable 1: World Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Geographic Region - USA,Canada, Japan, China, Europe, Asia-Pacific and Rest of WorldMarkets - Independent Analysis of Annual Sales in US$ Millionfor Years 2022 through 2030 and % CAGR

Table 2: World 8-Year Perspective for Edge ArtificialIntelligence Chips by Geographic Region - Percentage Breakdownof Value Sales for USA, Canada, Japan, China, Europe,Asia-Pacific and Rest of World Markets for Years 2023 & 2030

Table 3: World Recent Past, Current & Future Analysis for CPUby Geographic Region - USA, Canada, Japan, China, Europe,Asia-Pacific and Rest of World Markets - Independent Analysisof Annual Sales in US$ Million for Years 2022 through 2030 and% CAGR

Table 4: World 8-Year Perspective for CPU by Geographic Region -Percentage Breakdown of Value Sales for USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World for Years 2023 &2030

Table 5: World Recent Past, Current & Future Analysis for GPUby Geographic Region - USA, Canada, Japan, China, Europe,Asia-Pacific and Rest of World Markets - Independent Analysisof Annual Sales in US$ Million for Years 2022 through 2030 and% CAGR

Table 6: World 8-Year Perspective for GPU by Geographic Region -Percentage Breakdown of Value Sales for USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World for Years 2023 &2030

Table 7: World Recent Past, Current & Future Analysis for ASICby Geographic Region - USA, Canada, Japan, China, Europe,Asia-Pacific and Rest of World Markets - Independent Analysisof Annual Sales in US$ Million for Years 2022 through 2030 and% CAGR

Table 8: World 8-Year Perspective for ASIC by Geographic Region -Percentage Breakdown of Value Sales for USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World for Years 2023 &2030

Table 9: World Recent Past, Current & Future Analysis for OtherProcessors by Geographic Region - USA, Canada, Japan, China,Europe, Asia-Pacific and Rest of World Markets - IndependentAnalysis of Annual Sales in US$ Million for Years 2022 through2030 and % CAGR

Table 10: World 8-Year Perspective for Other Processors byGeographic Region - Percentage Breakdown of Value Sales forUSA, Canada, Japan, China, Europe, Asia-Pacific and Rest ofWorld for Years 2023 & 2030

Table 11: World Recent Past, Current & Future Analysis forConsumer Devices by Geographic Region - USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World Markets -Independent Analysis of Annual Sales in US$ Million for Years2022 through 2030 and % CAGR

Table 12: World 8-Year Perspective for Consumer Devices byGeographic Region - Percentage Breakdown of Value Sales forUSA, Canada, Japan, China, Europe, Asia-Pacific and Rest ofWorld for Years 2023 & 2030

Table 13: World Recent Past, Current & Future Analysis forEnterprise Devices by Geographic Region - USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World Markets -Independent Analysis of Annual Sales in US$ Million for Years2022 through 2030 and % CAGR

Table 14: World 8-Year Perspective for Enterprise Devices byGeographic Region - Percentage Breakdown of Value Sales forUSA, Canada, Japan, China, Europe, Asia-Pacific and Rest ofWorld for Years 2023 & 2030

Table 15: World Recent Past, Current & Future Analysis forInference by Geographic Region - USA, Canada, Japan, China,Europe, Asia-Pacific and Rest of World Markets - IndependentAnalysis of Annual Sales in US$ Million for Years 2022 through2030 and % CAGR

Table 16: World 8-Year Perspective for Inference by GeographicRegion - Percentage Breakdown of Value Sales for USA, Canada,Japan, China, Europe, Asia-Pacific and Rest of World for Years2023 & 2030

Table 17: World Recent Past, Current & Future Analysis forTraining by Geographic Region - USA, Canada, Japan, China,Europe, Asia-Pacific and Rest of World Markets - IndependentAnalysis of Annual Sales in US$ Million for Years 2022 through2030 and % CAGR

Table 18: World 8-Year Perspective for Training by GeographicRegion - Percentage Breakdown of Value Sales for USA, Canada,Japan, China, Europe, Asia-Pacific and Rest of World for Years2023 & 2030

Table 19: World Edge Artificial Intelligence Chips MarketAnalysis of Annual Sales in US$ Million for Years 2014 through2030

III. MARKET ANALYSIS

UNITED STATESEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Statesfor 2023 (E)Table 20: USA Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 21: USA 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 22: USA Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 23: USA 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 24: USA Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 25: USA 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

CANADATable 26: Canada Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 27: Canada 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 28: Canada Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Device Type - ConsumerDevices and Enterprise Devices - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 29: Canada 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 30: Canada Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 31: Canada 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

JAPANEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2023 (E)Table 32: Japan Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 33: Japan 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 34: Japan Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 35: Japan 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 36: Japan Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 37: Japan 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

CHINAEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2023 (E)Table 38: China Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 39: China 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 40: China Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 41: China 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 42: China Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 43: China 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

EUROPEEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2023 (E)Table 44: Europe Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Geographic Region -France, Germany, Italy, UK and Rest of Europe Markets -Independent Analysis of Annual Sales in US$ Million for Years2022 through 2030 and % CAGR

Table 45: Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Geographic Region - Percentage Breakdownof Value Sales for France, Germany, Italy, UK and Rest ofEurope Markets for Years 2023 & 2030

Table 46: Europe Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 47: Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 48: Europe Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Device Type - ConsumerDevices and Enterprise Devices - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 49: Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 50: Europe Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 51: Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

FRANCEEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2023 (E)Table 52: France Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 53: France 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 54: France Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Device Type - ConsumerDevices and Enterprise Devices - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 55: France 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 56: France Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 57: France 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

GERMANYEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2023 (E)Table 58: Germany Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 59: Germany 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 60: Germany Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Device Type - ConsumerDevices and Enterprise Devices - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 61: Germany 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 62: Germany Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 63: Germany 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

ITALYTable 64: Italy Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 65: Italy 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 66: Italy Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 67: Italy 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 68: Italy Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 69: Italy 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

UNITED KINGDOMEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdomfor 2023 (E)Table 70: UK Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 71: UK 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 72: UK Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 73: UK 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 74: UK Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 75: UK 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

REST OF EUROPETable 76: Rest of Europe Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 77: Rest of Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 78: Rest of Europe Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Device Type -Consumer Devices and Enterprise Devices - Independent Analysisof Annual Sales in US$ Million for the Years 2022 through 2030and % CAGR

Table 79: Rest of Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 80: Rest of Europe Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Function - Inferenceand Training - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 81: Rest of Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

ASIA-PACIFICEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for2023 (E)Table 82: Asia-Pacific Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 83: Asia-Pacific 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 84: Asia-Pacific Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Device Type -Consumer Devices and Enterprise Devices - Independent Analysisof Annual Sales in US$ Million for the Years 2022 through 2030and % CAGR

Table 85: Asia-Pacific 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

See the rest here:
Global Edge Artificial Intelligence Chips Market to Reach $16.7 Billion by 2030 - Yahoo Finance

invest in ai

Artificial intelligence has become one of the most talked about technologies over the past few years. Many see AI with large dollar signs in their eyes. However, every new technology has a lag between invention and commodification and just as every new technology has the risk that it wont pan out. For investors, this poses a challenge. While the risks are real so, too, are the opportunities. So, for a technology that is still effective in the drumroll phase, how can you invest? Here are a few ideas. For more personalized investment advice, consider working with a financial advisor.

Artificial Intelligence Industry

Artificial intelligence has not yet been truly monetized. Now, theres a lot to unpack in that statement. For starters, tech companies have been integrating AI into their software for a generation and making tons of money off it. From autocorrect to playlists to the monsters in World of Warcraft, companies have been profiting off software decision-making for a long time.

The new AI, however, is a different thing entirely. The news-making artificial intelligence has come in the form of predictive algorithms like ChatGPTs chatbot software and DALL-Es image generator. These tools remain experimental. They are inventions and innovations but, at the time of writing, not yet products. Part of that is because engineers still arent quite sure what they are yet.

Advocates say that current AI software represents a fundamentally new tool, one that will change the way we interact with information and each other. Critics argue that they are just high-volume autocorrects, machines best suited for reorganizing existing work at best and stealing it at worst, but incapable of creating new value.

In both cases, monetization is a challenge. If tools like ChatGPT represent a true leap forward, then companies will need some time to figure out their commercial use. If, instead, they fundamentally rely on copying and pasting the work of others, then they may be more novelty than revolution.

Story continues

However, that doesnt mean that there arent opportunities to invest and profit yourself. Here are some of the best ways you can benefit financially from the early stages of AI development.

If youre ready to be matched with local advisors that can help you achieve your financial goals, get started now.

Invest In Individual Stocks Like Google and Microsoft

Alphabet (GOOG), or Google, and Microsoft (MSFT), which kept its maiden name, are some of the earliest companies racing for commercial AI applications. In both cases, their goal is to search. Both companies want to turn their search engines into a conversational source of inquiry, analysis and advice.

Instead of searching for information by a string of keywords, you would just ask the search engine questions and it would pop out the answer based on whats out there on the web. In this way, AIs best and worst qualities align with the business model of search. The goal is to paraphrase articles like this onto Google/Microsoft sites, so those companies can collect the ad revenue without having to pay for the work.

Googles Bard AI remains experimental and, true to the products core design, Bings AI search remains underwhelming. However, both companies hope to make this a major product at some point in the future.

This is a theme that applies broadly: Invest in companies that are will use AI in their products. As currently designed, AI will most likely be a backend feature in an enormous range of technology products. So, for example, while your phone is the front-end product, meaning the product you directly interact with, AI will become part of the back-end, meaning one of the many moving pieces that make your phone work.

Look for companies that can use AI in their products. Invest in them directly, so that you can collect their gains from this new technology.

Use Robo-Traders

invest in ai

Robo-traders have emerged as a major section of the market and for a good reason.

A robo-trader is a company that offers algorithmically managed portfolios. In essence, you invest your money according to a series of goals or conditions that you establish, then the brokerage manages that portfolio based on its own software model. These have shown particularly good results for investors because they tend to seek long-term investments, which tend to outperform short-term and high-volume trading.

Artificial intelligence has the potential to improve this further. Investors are already experimenting with AI-built portfolios and investment strategies. This trend will only continue to grow and the companies that build their portfolios with AI from the ground up will stand to benefit significantly.

Invest In AI Funds

As with all industries, an excellent way to invest in AI is through relevant funds. In fact, theres something of a gold rush on artificial intelligence ETFs right now. The market is filled with companies that are looking to capitalize on companies that operate in or around this technology.

For an investor, this is both an opportunity and a problem. The opportunities are out there, but how do you identify good investments? One good approach is to start by deciding how you want to invest in AI. There are ETFs, for example, such as Global X Robotics & Artificial Intelligence ETF (BOTZ) and ROBO Global Robotics and Automation Index ETF (ROBO), among others that let you invest in this market.

These funds invest in stocks and assets that support AI, such as companies that make the chips and hardware that AI companies depend on. Other funds will try to invest directly, buying into companies that are developing AI software itself, while others will invest in the companies that will use AI in their own products.

The best place to start with an AI-related fund is to look at how it invests. That will help you figure out if this is something youre interested in.

The Bottom Line

invest in ai

Artificial intelligence could very well be the next big boom. However, it can be difficult to determine the right areas that could make strong investments. Both directly and indirectly, AI might present plenty of opportunities that you can profit from. Finding the right one for you will depend on a number of factors including your expectation of risk.

Technology Investment Tips

Investing in any new technology is a risk. When it pays off, it can pay off big, but there are no guarantees. A financial advisor can help you determine the best investment plan for you when it comes to AI. Finding a financial advisor doesnt have to be hard.SmartAssets free tool matches you with up to three vetted financial advisors who serve your area, and you can interview your advisor matches at no cost to decide which one is right for you. If youre ready to find an advisor who can help you achieve your financial goals, get started now.

Finance and technology go hand-in-hand and the industry dedicated to that idea is called fintech. Its important to fully understand how the industry operates if youre wanting to invest.

Photo credit: iStock.com/Thai Liang Lim, iStock.com/Laurence Dutton, iStock.com/imaginima

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Smart Ways to Invest in Artificial Intelligence - Yahoo Finance

"Until meaningful government safeguards are in place to protect the public from the harms of generative AI, we need a pause."

So says a report on the dangers of artificial intelligence (AI) published Tuesday by Public Citizen. Titled Sorry in Advance! Rapid Rush to Deploy Generative AI Risks a Wide Array of Automated Harms, the analysis by researchers Rick Claypool and Cheyenne Hunt aims to "reframe the conversation around generative AI to ensure that the public and policymakers have a say in how these new technologies might upend our lives."

Following the November release of OpenAI's ChatGPT, generative AI tools have been receiving "a huge amount of buzzespecially among the Big Tech corporations best positioned to profit from them," the report notes. "The most enthusiastic boosters say AI will change the world in ways that make everyone richand some detractors say it could kill us all. Separate from frightening threats that may materialize as the technology evolves are real-world harms the rush to release and monetize these tools can causeand, in many cases, is already causing."

Claypool and Hunt categorized these harms into "five broad areas of concern":

In a statement, Public Citizen warned that "businesses are deploying potentially dangerous AI tools faster than their harms can be understood or mitigated."

"History offers no reason to believe that corporations can self-regulate away the known risksespecially since many of these risks are as much a part of generative AI as they are of corporate greed," the statement continues. "Businesses rushing to introduce these new technologies are gambling with peoples' lives and livelihoods, and arguably with the very foundations of a free society and livable world."

On Thursday, April 27, Public Citizen is hosting a hybrid in-person/Zoom conference in Washington, D.C., during which U.S. Rep. Ted Lieu (D-Calif.) and 10 other panelists will discuss the threats posed by AI and how to rein in the rapidly growing yet virtually unregulated industry. People interested in participating must register by this Friday.

"Businesses rushing to introduce these new technologies are gambling with peoples' lives and livelihoods, and arguably with the very foundations of a free society and livable world."

Demands to regulate AI are mounting. Last month, Geoffrey Hinton, considered the "godfather of artificial intelligence," compared the quickly advancing technology's potential impacts to "the Industrial Revolution, or electricity, or maybe the wheel."

Asked by CBS News' Brook Silva-Braga about the possibility of the technology "wiping out humanity," Hinton warned that "it's not inconceivable."

That frightening potential doesn't necessarily lie with existing AI tools such as ChatGPT, but rather with what is called "artificial general intelligence" (AGI), through which computers develop and act on their own ideas.

"Until quite recently, I thought it was going to be like 20 to 50 years before we have general-purpose AI," Hinton told CBS News. "Now I think it may be 20 years or less." Eventually, Hinton admitted that he wouldn't rule out the possibility of AGI arriving within five yearsa major departure from a few years ago when he "would have said, 'No way.'"

"We have to think hard about how to control that," said Hinton. Asked by Silva-Braga if that's possible, Hinton said, "We don't know, we haven't been there yet, but we can try."

The AI pioneer is far from alone. In February, OpenAI CEO Sam Altman wrote in a company blog post: "The risks could be extraordinary. A misaligned superintelligent AGI could cause grievous harm to the world."

More than 26,000 people have signed a recently published open letter that calls for a six-month moratorium on training AI systems beyond the level of OpenAI's latest chatbot, GPT-4, although Altman is not among them.

"Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable," says the letter.

While AGI may still be a few years away, Public Citizen's new report makes clear that existing AI toolsincluding chatbots spewing lies, face-swapping apps generating fake videos, and cloned voices committing fraudare already causing or threatening to cause serious harm, including intensifying inequality, undermining democracy, displacing workers, preying on consumers, and exacerbating the climate crisis.

These threats "are all very real and highly likely to occur if corporations are permitted to deploy generative AI without enforceable guardrails," Claypool and Hunt wrote. "But there is nothing inevitable about them."

They continued:

Amid "growing regulatory interest" in an AI "accountability mechanism," the Biden administration announced last week that it is seeking public input on measures that could be implemented to ensure that "AI systems are legal, effective, ethical, safe, and otherwise trustworthy."

According toAxios, Senate Majority Leader Chuck Schumer (D-N.Y.) is "taking early steps toward legislation to regulate artificial intelligence technology."

In the words of Claypool and Hunt: "We need strong safeguards and government regulationand we need them in place before corporations disseminate AI technology widely. Until then, we need a pause."

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Experts Demand 'Pause' on Spread of Artificial Intelligence Until ... - Common Dreams

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TAMPA, Fla. - Artificial Intelligence is the wave of the future, being used more and more across the board, including by students and businesses.

Tech experts say AI technology can be a creative, innovative tool.

"It is really fun to make videos of your favorite pop singers singing your lyrics," Chris Jenkins, with Druid Ventures, said. "And then, you know, in the business place, being able to point a YouTube video to an AI and have it generate a nice little excerpt or, you know, an explainer that goes along with the video. There's productive stuff like that."

But AI is proving to be extremely dangerous as well. There is a growing concern over AI being used to make scams even more believable and realistic.

"We have no idea yet what levels of virtual reality, blackmail, and extortion might be possible," Jenkins said.

For years, there have been scams in which someone has gotten a call about a loved one being in trouble, and the person has been hounded for thousands or even millions of dollars.

The Federal Trade Commission is warning people about scams using AI technology.

READ: Tampa General uses artificial intelligence to help stroke patients regain range of motion

With AI technology tech experts say scammers are now able to clone someones voice and fabricate a phone call that sounds like its coming directly from someones family, friend, or even child.

"If you've got a sample of somebody's voice, you could theoretically, literally have that child's voice making that call," Jenkins said. "That's a threat that I don't think any of us are well prepared to deal with at this point."

Jenkins urges people to always trust their gut and not to trust everything they see and hear, regardless of how life-like it may be.

"If you get a call from anyone claiming to be someone important, whether it's a family member, your bank or a utility company, anything, and hang up and call them back at the contact number, you know, is good for them," he said.

READ: Researchers predict which jobs may be safe from A.I. exposure

He encourages people to establish a method of communication with their family to make sure they can always get in touch with everyone quickly, in the event they run into a situation like this.

"You should have some broadcast mechanism to easily contact all the important people at once, because even if you can't reach that person, maybe their sibling or parent or spouse can answer those questions for you," Jenkins said.

He says Artificial Intelligence is so advanced that someone can even take a video you post on social media and easily clone your face or voice.

"There are models of AI right now that can take avideo of you looking straight at the camera, talking in your normal voice, and generate a 360-degree AI model of you that speaks in your voice and can move around and turn and be seen from the back and everything," Jenkins said.

READ: How TikTok collects your data, even if you dont use TikTok

Jenkins says technology is continuing to advance, and there is no telling how advanced it could continue to get.

"If you're not a public personality who is engaging globally, then I really recommend that people lock down their social media profiles and make them approved friends and family only," Jenkins said. "Don't give access to your content to the world at large."

Jenkins warns people to be more cautious than ever about what they share and with whom they share it.

Anyone who spots or experiences a scam is asked to report it to the Federal Trade Commission here.

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Scammers use artificial intelligence to cheat victims out of money - FOX 13 Tampa

Miller Lite kicks off new global campaign by showing Sophia the robot the feeling behind real-life beer moments

CHICAGO April 19, 2023 Artificial intelligence has had a busy year answering our questions, generating headshots, and even making aging actors look younger, but despite all of these advances in technology, theres one thing AI still cant do enjoy the great taste of beer. But thats all about to change thanks to Miller Liteseriously. For the first time ever, the brand is teaching AI the taste, feeling and human emotion behind enjoying a beer, starting with Sophia, an advanced humanoid robot from Hanson Robotics.

Miller Lite and AIreally? Yes, and for good reason too. Miller Lite is all about great beer taste and celebrating Miller Time so in its new global campaign, Tastes like Miller Time, the brand is demonstrating that the taste of beer is so much more than what we literally taste. And Miller Lite is making sure everyone, including AI, knows what the experience of cracking open a great beer like Miller Lite truly feels like.

The taste of beer is so much more than barley, malt, and hops its the real moments at neighborhood bars, tailgates and backyards spent over a Miller Lite, says Sofia Colucci, Chief Marketing Officer at Molson Coors Beverage Company (not to be confused with Sophia the robot). Our new campaign pays tribute to those unforgettable experiences that just taste better with a Miller Lite in hand. Were bringing this notion to life in fresh and unexpected ways from our new TV spots to even teaching AI what beer actually tastes like.

Miller Lite worked with Hanson Robotics to analyze social media and identify humanitys most cherished beer drinking moments, translating them to something Sophia could finally experience. Watch here to learn more:https://youtu.be/5OkB6s9hsPc.

When Miller Lite approached us about teaching Sophia what beer tasted like, we were intrigued because it was something AI has never experienced before, says Kath Yeung, Chief Operations Coordinator of Hanson Robotics.

Our teams scrolled social media and assessed our findings to gather the feelings and emotions humans get when tasting beer and translated that data into something Sophia could experience for the first time, says CEO David Hanson PhD. We were excited to see Sophia was making new friends, learning and analyzing the human experience.

So, what did Sophia think of her first beer? To see her reaction and have the chance to ask Sophia questions in real time, tune-in to the Miller Lite Instagram Live on Friday, April 21st at 5pm CDT.

To further AIs education on the true joy and experience of beer, Miller Lite is asking everyone to share the moments that taste better with beer. Follow @MillerLite on Instagram, share a photo of your Tastes Like Miller Time Moment in an Instagram story or post, and tag @MillerLite. Then use the hashtag #BeerforAI and #Sweepstakes for a chance to win free beer.* These moments will be added to the data set so Miller Lite can continue to teach AI what the human experience of beer is.

The new Tastes like Miller Time campaign will appear across all touchpoints in the United States, Canada, and Latin America. It includes retail, out of home, advertising, social media, partnerships, localization, and brand new video spots, which you can viewhere.

Miller Lites new campaign aims to fuel continued growth and positive trajectory for the brand. Year to date in the U.S., Miller Lite is growing dollar share of total beer dollar according to April 2023 Circana multi-source and convenience data.

Read more:
For the First-Time Ever, Miller Lite Teaches Artificial Intelligence What Beer Tastes Like - Food Industry Executive