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'We're only in 1996': Why the AI boom is still in its earliest days, according to Bank of America

• The AI boom is still in its infancy, following the path of the internet in the 1990s, BofA said.
• AI's impact will be felt sooner than past tech booms, the bank says.
• Skepticism about AI has mounted recently as investors get impatient to see AI returns.

Bank of America says the artificial intelligence boom is in its early stages and it following the trajectory of the internet in the 1990s.

The bank's view comes as AI skepticism has been mounting after a long run of investors pouring money into the trade as they hope to see companies reap the efficiency and productivity gains promised by the technology.

"Skeptics declare that GenAI's revenue potential doesn't justify the current level of AI infrastructure investment," the report says.

"But remember that far more significant than the internet's initial consumer use cases were the thousands of use cases and companies that emerged because of the internet," the report adds.

The report from the bank, released Thursday, draws on a survey of equity analysts and macro strategists across more than 3,000 companies.

Those strategists say AI is the third major tech cycle in the past 50 years, and it started with the launch of ChatGPT in November 2022. AI follows the innovation waves of personal computing in 1981 and the internet in 1994.

But unlike those tech booms, which took 15-30 years to reach mainstream adoption, AI's impact will likely materialize sooner, the report says.

"GenAI may catalyze a technological evolution that disrupts every sector and transforms the global economy over the next five to 10 years," the report says.

Yet, investors are underestimating the long-term impact of the technology—and overestimating its near-term potential—which is typical of tech booms, the report says.

"AI capex could reach $1 trillion+ over the next several years, but we're only in 1996 relative to the internet," the report says.

It adds that the current level of investment in companies like OpenAI, Anthropic, and Inflection AI is merely a prerequisite for making GenAI apps, which are largely still in beta and will take time to develop and grow.

The strategists forecast AI will drive margin expansion for a majority of industry groups. Semis and software will see particularly large gains, with around 4.8% and 5.2% margin growth in the next five years, respectively.

The report comes amid mounting skepticism around AI as investors have yet to see meaningful returns on huge investments into the tech by companies.

On Tuesday, Morgan Stanley chief US equity strategist Mike Wilson said the AI investment theme has been "overcooked," and suggested investors should retreat into defensive stocks.

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Bank of America Better Money Habits Research Finds That, Despite Barriers, 80% of Gen Z Are Taking Positive Steps Toward Achieving Their Financial Goals

October 27, 2021 at 9:00 AM Eastern

Survey Explores How Ethnicity and Gender Influence Young Adults’ Access to Financial Resources and Guidance, Further Underscoring the Need to Address Financial Education Gaps

Gen Z is emerging from the pandemic with a greater focus on saving, financial independence, gathering life experiences, and seeking financial education many were without access to in their schools and communities growing up. This is according to new research published today by Bank of America’s Better Money Habits exploring what this generation (ages 18 to 24) view as their greatest financial barriers, and how they are taking charge of their financial lives.

“As Gen Z gets started financially and professionally, we see a great deal of motivation and positive steps toward building a solid financial foundation,” said Christine Channels, Head of Community Banking and Client Protection at Bank of America. “At the same time, an unmistakable need for more financial education persists among this generation. Through our Better Money Habits platform, we’re committed to connecting these young adults to a wide range of resources and guidance to help them develop financial know-how, and navigate barriers to achieving their goals.”

Key findings from the research include:

• Over the past year, 80% of Gen Zers have taken one or more positive financial actions. Among which, 70% added to savings, 29% mapped out financial goals, 26% contributed to a retirement account, and 26% invested in the market.
• Despite financial and other pandemic-related challenges, 68% remain optimistic about their financial future. Nearly 70% also say the pandemic influenced their financial priorities, including a greater focus on saving for future goals (33%) and living a more frugal lifestyle (19%).
• Half (49%) describe themselves as fully or mostly financially independent. Among the half still fully (14%) or mostly (36%) dependent on their parents financially, 24% are prioritizing becoming financially independent.
• Today, Gen Z views their greatest barriers to financial success as insufficient income to achieve financial goals (46%), lack of job stability (23%) and being unable to save (21%). When asked about the most stressful financial aspects of their lives, Gen Z cites not being able to afford the life they want (37%), lack of emergency savings (33%), student loan debt (22%), health care costs (17%) and simply making it to their next paycheck (11%).
• One-third (34%) of Gen Z rate their financial knowledge as low, among whom 40% say they don’t even know where to start learning about finances. A significant portion of Gen Z (40%) also say they were never offered a financial education course in school.
• Much of Gen Z feels knowledgeable about basic financial concepts – including saving (85%), managing money (82%) and budgeting (77%). However, their knowledge levels decrease significantly when it comes to topics that can be critical to a more secure financial future, including saving for retirement (38%), investing (30%) and buying a home (26%).
• When asked where they learned about finances, only 33% said in school (K-12 and/or college). Most learned at home or from their family (75%), while 39% were self-taught, 20% learned from friends and peers and 13% from a financial professional.

The research also explored the role of race, ethnicity and gender in access to financial education and opportunities, uncovering:

Black/African American Gen Z more likely to be financially independent, cite starting a business in their definition of success

• 59% of Gen Z in this community identify as mostly or fully financially independent – compared to 47% of non-Black/African American Gen Z. They also cited greater knowledge of several financial topics, including filing taxes (59% vs. 39%), saving for retirement (44% vs. 37%) and purchasing a home (41% vs. 24%).
• 66% carry debt, and of those that use credit cards, 44% have accrued credit card debt – more than non-Black/African American Gen Z (51% and 21%, respectively) – and are nearly twice as likely to cite debt as a barrier to financial success (30% vs. 17%).
• Black/African American Gen Z are nearly 6x more likely to include starting a business in their definition of success (17% vs. 3%), and 2x as likely to cite starting or growing a business as top priority for the year ahead (16% vs. 8%).

Hispanic Gen Z highlight greater gaps in financial education, see homeownership as success

• Nearly half (48%) of Hispanic Gen Z say they were never offered a financial education class in school – more so than non-Hispanic Gen Z (37%). This community is less likely to feel knowledgeable about building credit (56% vs. 63%), saving for retirement (34% vs. 40%) and filing taxes (28% vs. 45%).
• They are more likely to cite lower income (52% vs. 44%) and job stability (31% vs. 20%) among their top barriers to financial success.
• Homeownership is especially important to this community: 39% define financial success as owning a home, compared to 26% of non-Hispanic Gen Z.

Gen Z women face financial knowledge and investing gaps, but are more likely to be taking steps toward financial wellness

• The gender investing gap persists in younger generations: Gen Z women are less likely to feel knowledgeable about investing (22% compared to 37% of men) and less likely to have invested in the market over the last year (17% vs. 25%). They also feel less knowledgeable about managing debt (56% vs. 66%) and saving for retirement (35% vs. 41%).
• Gen Z women feel more knowledgeable about building credit (66% vs. 57%), however they are also more likely to cite debt as a barrier to financial success (23% vs. 14%). In fact, 36% have at least $5,000 of debt compared to 28% of men – which may be contributing to the fact that more women are prioritizing paying down debt in the year ahead than men (23% vs. 18%).
• Gen Z women were, however, more likely than men to have taken positive financial actions over the last year (82% vs. 78%). Positive actions among Gen Z women taking them include contributing to savings (76% vs. 63%), openly discussing money with family, friends or colleagues (63% vs. 48%), sticking to a budget (27% vs. 21%) and seeking guidance on managing finances (25% vs. 16%).

“As a company and as a society, it is critical that we address the financial education and opportunity gaps that persist across the communities of young adults we serve,” said Alberto Garofalo, Community Banking & Development executive at Bank of America. “This research is another step in our commitment to fully understanding the unique needs and priorities of diverse communities, so we can provide the resources and guidance to empower everyone on their journey to financial wellness.”

Better Money Habits ®

As Gen Z prioritizes better money habits, they continue to seek advice and guidance as they look to take control of their finances and plan the future. Bank of America’s Better Money Habits platform offers free financial education content and tools that break down financial topics in ways that are approachable and easy to understand. The platform connects people at all life stages to relevant tools that help build know-how to help them take action toward their financial goals. It also includes specific resources catered to Gen Z and young adults, covering topics including budgeting, building credit, borrowing, investing and more. We continually look for ways to expand the reach of Better Money Habits and also offer Spanish language resources on the site.

Methodology

The study was conducted August 12 – September 7, 2021, by Ipsos in English and is based on nationally representative probability samples of 1,024 general population adults (age 18 or older), and a partially overlapping sample of 635 Gen Z adults (age 18-24), including 28 Gen Z adults from a non-probability sample. This survey was conducted primarily using the Ipsos KnowledgePanel®, the largest and most well-established online probability-based panel that is representative of the adult US population. Panelists are scientifically recruited into this invitation-only panel via postal mailings to a random selection of residential addresses. To ensure that non-internet households are included, Ipsos provides access to a tablet and internet connection to those who need them. Because of this probability-based sampling approach, KnowledgePanel findings can be reported with a margin of sampling error and projected to the general population. The margin of sampling error for the general population sample is +/- 3.3 percentage points at the 95 percent confidence level.

Bank of America

Bank of America is one of the world’s leading financial institutions, serving individual consumers, small and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services. The company provides unmatched convenience in the United States, serving approximately 66 million consumer and small business clients with approximately 4,200 retail financial centers, approximately 17,000 ATMs , and award-winning digital banking with approximately 41 million active users, including approximately 32 million mobile users. Bank of America is a global leader in wealth management, corporate and investment banking and trading across a broad range of asset classes, serving corporations, governments, institutions and individuals around the world. Bank of America offers industry-leading support to approximately 3 million small business households through a suite of innovative, easy-to-use online products and services. The company serves clients through operations across the United States, its territories and approximately 35 countries. Bank of America Corporation stock (NYSE: BAC) is listed on the New York Stock Exchange.

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Betty Riess, Bank of America Phone: 1.415.913.4416 [email protected]

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European Credit Research Analyst

Job Description:

Job Title: European Credit Research Analyst

Corporate Title:  Vice President

Location:  Paris

Company Overview:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Role Description:

The role will involve all aspects of researching a potentially wide set of industries and companies, modelling financial results, writing detailed, anticipatory and thought provoking research, communicating with internal and external clients, building relationships with corporates under coverage, building relationships with our investor clients and strong internal relationships with sales and trading. It also entails participating in team research projects, regular including daily publications, responding to requests and on occasion supporting senior analysts. A strong focus is on collaboration across research disciplines and geographies.

Responsibilities:

Leverages insights gathered from research to provide recommendations on the purchase, sale, or holding of securities to institutional clients

Collects information related to the prices, sales, government programs, and market trends and develops sales strategies accordingly

Analyzes the organization's capital structure and prepares reports and presentations for institutional clients and industry groups to communicate future performance of the company's securities or capital markets

Collaborates with the Environmental, Social, and Governance (ESG) research team to analyze implications of ESG attributes in investment processes

Develops and maintains databases and indicators for critical research products, while producing collaborative reports with analysis findings

What we are looking for:

Data and Trend Analysis

Financial Forecasting and Modeling

Research Analysis

Technical Documentation

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Causation Analysis

Data Visualization

Financial Analysis

Profitability Analysis

Trading and Investment Analysis

Benefits of working at Bank of America – France

Competitive retirement plan in addition to State plans

Mandatory Medical Plan provided by the bank as a top-up to Social Security health benefits for you and your family.

Employees and family members can receive free health advice 24/7 through a range of English and French speaking medical providers

Life and disability insurance

Time Savings Account (‘CET’) to save some of your leave days, cash them out or use them later

Reimbursement of 50% of your commuter pass

Nursery scheme for children under age 3

Works council benefits

Access to an Employee Assistance Programme for confidential support and help for everyday matters

Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering with local charities

Opportunity to receive free entry to arts exhibitions sponsored by Bank of America in Paris

Bank of America

Good conduct and sound judgment is crucial to our long term success. It’s important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well. We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender/sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, membership of the Traveller community, age, sexual orientation, pregnancy or maternity, civil status,  socio-economic background, responsibility for dependants, family status or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience.

We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.

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The AI evolution: Reality justifies the hype

As AI sparks efficiency, BofA Global Research says it will have positive financial impact on 75% of companies in the next 5 years.

Vanessa Cook

November 2023

Key takeaways

• The newest wave of artificial intelligence — generative AI — will likely catalyze a corporate efficiency and productivity evolution that touches every sector globally over the next 5 to 10 years. Past disruptive technologies emerged over 15 to 30 years, but AI-driven efficiencies and revenue may appear as soon as the next 3 to 5 years — a faster pace than many expect.
• A survey of over 100 BofA Global Research equity analysts on AI's financial impact for the 3,500 companies covered globally found that analysts expect that three-quarters of covered companies will experience mild-to-strongly positive AI-driven financial impact over the next five years and 60% will implement strategies targeting operational efficiencies, followed by revenue enhancement (29%) and transformation (5%).
• The survey also found that AI implementation strategies are expected to drive operating margin expansion across 24 of 25 industry groups over the next five years with Tech Hardware (+5%), Telecom (+5%) and Semis (+5%), most likely to experience the largest operating margin expansion. However, while the transformative nature of the newest AI wave is clear, it's impossible to foresee the long-term implications of this nascent technology.

Read our full analysis for a more in-depth look at these trends.

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Rising childcare costs starting to bite

Childcare payments have risen over 30% since 2019, pressuring families to spend less and draw on savings more across all incomes.

Will silver spenders continue to outpace the young?

The gap in spending growth between the older and younger generations may narrow, but is unlikely to completely disappear.

Food (in)security: Hungry for change

With food security falling and global temperatures rising, food systems must adapt to feed more people and be more sustainable.

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“What would you like the power to do?”

At Bank of America, we ask this question every day of all those we serve. It is at the core of how we live our values, deliver our purpose and achieve responsible growth. By asking this question, we continue to learn what matters most to our clients, our employees and our shareholders. It helps us start a conversation centered on our commitment to use our capabilities to help those we serve be successful. Because we recognize that we can only be successful when the individuals, companies, communities and employees we serve are able to reach their vision of success.

Responsible growth

We are delivering on our purpose to help make financial lives better through our focus on responsible growth.

Our commitment to responsible growth is resolute, and has four tenets:

• We have to grow — no excuses.
• We have to be client focused.
• We have to grow within our risk framework.
• And, our growth must be sustainable, which has three elements: driving operational excellence, being a great place to work for our teammates and sharing our success with our communities.

By driving responsible growth, we deliver returns to our clients and shareholders and help address society’s biggest challenges.

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Part of driving responsible growth is maintaining strong guidelines for business practices and professional and personal conduct that all employees, and anyone who acts on our behalf, are expected to adopt and uphold. This translates into the actions we take as we engage with customers, clients, shareholders, suppliers and each other.

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Bank of America is one of the world’s leading financial institutions, serving individuals, small- and middle-market businesses, large corporations, and governments with a full range of banking, investment management and other financial and risk management products and services.

Our management team leads our company’s work to drive responsible growth and deliver for our clients, communities and shareholders. It is comprised of leaders for each area of our organization, the heads of our eight lines of business, and key leadership roles for our international and institutional client base.

The oldest parts of our company extend back 240 years. Since that time, we’ve come together from many sources to become what we are today: A company united in our purpose to help make financial lives better through the power of every connection.

Our story is all about the impact clients and communities can have and the progress they can make. And we are here to serve them, and to help them do it. This starts with a single idea for our company, across all of our businesses based on a simple question that has been core to our legacy of capabilities and service for 240 years: “What would you like the power to do?”

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Artificial Intelligence…Is Intelligent!

We are at a defining moment – like the internet in the ‘90s – where artificial intelligence (ai) is moving toward mass adoption..

We are entering the fifth industrial revolution with Artificial Intelligence (AI). More data is created per hour today than in an entire year just two decades ago and global data is expected to double every two years. The data we are creating is increasing exponentially and we need AI to analyze and interpret it. New applications are being developed constantly that require more data. Holograms, metaverse, brain computer interfaces and EVTOL (electric vertical take-off and landing) are just some of the technologies that will be very data-heavy.

AI leverages large data sets and uses algorithms to find underlying relationships, which can be used to drive new or better business outcomes. Recently, there has been tremendous focus on generative AI, which is AI that can generate output based on the data on which they have been trained. Some of the key AI technologies include machine learning, deep learning, predictive analytics, natural language processing and machine vision. Algorithms can be used to carry out machine and deep learning. Linear regressions and logistic regressions are some examples of machine learning algorithms. Machine learning algorithms automatically apply mathematical calculations to big data to learn from past data to produce repeatable and reliable decisions and results, such as improved video suggestions based on past video viewing activity.

What can AI do?

ChatGPT is a chatbot that can generate coherent human-like text. It is the first application of its kind that is openly available to a wide audience. Until now AI could only read and write but could not understand content. Since ChatGPT can generate human-like text, it can be used for content generation (e.g., writing essays, news articles, social media posts, marketing content, stories, music, emails), data extraction, summarizing text, optimizing web browsers, language translation and computer programming. Generative AI models like ChatGPT enable machines to understand human language and consecutively produce human-like dialogue and content. Since its launch on November 30, 2022, ChatGPT has gained significant traction, amassing one million users after merely five days.

AI, a game changer for the next decade of digital growth

The BofA Global Research U.S. Software Technology team believes AI technologies can be embedded across industries and simplified for the average user which could drive adoption over the next decade. They expect stock performance for large tech companies to be tied to their AI development, estimating AI/ML (machine learning) capex investment to exceed USD$40 bn. This investment would spur revenues leading to the global AI market reaching USD$900 bn by 2026. In addition, the BofA Global Research U.S. Semiconductor team anticipates continued AI investments to be medium- to long-term tailwinds for cloud semiconductor vendors given the substantial amount of computer processing necessary.

Sectors using text data are likely to incorporate this tech to increase productivity

Any industry that uses text data might be affected by this technology. For example, call centers, legal searches, document writing, authoring, jobs involving spreadsheets, insurance and healthcare are areas that involve a large amount of text data.

It is important to bear in mind that AI and machine learning are enabling technologies. AI must be coupled with something to be useful. Hence, while these advanced language models could be disruptive to these sectors in terms of replacing jobs that involve relatively routine tasks, jobs in these sectors will not disappear altogether. They are likely to incorporate AI, allowing for greater productivity potential.

Search engines could become more conversational, embedded with language models. This would be a new user interface within search engines rather than a disruption of the search engine market in general.

This technology is likely to evolve beyond single applications (e.g., text and images) toward multimodality – for instance, using text, images, voice recordings as prompts to generate a response from the AI system. More proficient language model deployment could proliferate conversational tools into such things as word processors, virtual video meetings and email systems to enable their onboarding for more users to interact via speech. Another application is that this technology could be used to generate entire programming applications rather than just being able to suggest or explain code.

Sectors that can combine computing power, data and talent to enable AI could capitalize on the commercial opportunities. Operating costs (e.g., semiconductors, staff) could present a large barrier to entry. As the parameter size increases, costs increase too. This could be challenging to absorb when such models perform billions of queries a day. For this technology to be more viable, we would likely need a 10x-to-20x improvement in efficiency, otherwise it would be too costly for entrants to deploy them commercially. But falling hardware costs for larger companies could potentially alleviate this issue.

Across the board, there are GDP (gross domestic product) gains associated with productivity and product enhancements. Gains in the services industry, which includes health, education, public services and recreation, could add 21% to GDP by 2030. This is mainly due to the healthcare sector, which should see greater personalization and quality improvement in medical advice. Healthcare professionals could improve the patient experience by using virtual assistants and camera-based healthcare apps in diagnosing medical conditions. Transport and logistics, and financial and professional services, are estimated to see smaller GDP gains of 10% each due to AI.

A $15 trillion market by 2030

AI could contribute up to USD$15.7 tn to the global economy by 2030, 1 while open data (data that anyone can access, use and share) has the potential to unlock USD$3.2 tn to USD$5.4 tn in economic value annually via, for example, reducing emissions, increasing productivity and improving healthcare. 2 According to IDC, global revenues for the AI market, including software, hardware and service sales, will grow at a CAGR (compound annual growth rate) (2022E-26E) of 19% to reach USD$900 bn by 2026. 3 Big Data and AI could double the gross value-added (GVA) growth rates of developed markets by 2035 (estimated) and add 0.8 ppt–1.4 ppt to global productivity growth in the long run.

According to Accenture, AI could double annual global economic growth rates by 2035. AI is likely to drive this in three different ways. Firstly, AI will lead to a strong increase in labor productivity (by up to 40%) due to automation. Secondly, AI will be capable of solving problems and self-learning. Thirdly, the economy will benefit from the diffusion of innovation.

North America and China could see the biggest economic gain in percentage terms from AI. PwC estimates that AI will enhance GDP by 26.1% in China and 14.5% in North America in 2030, which accounts for c.70% of the global impact. 1 Due to the fact that North America has advanced technological and consumer readiness for AI, which enables a faster effect of AI on productivity and overall, a larger effect by 2030 and for China, productivity and product enhancements GDP effects are higher than in other regions.

A supportive investment landscape for AI

AI adoption has more than doubled over the past five years with investment in AI increasing quickly: Funding of generative AI increased by 71.4% year over year in 2022. 4 In particular, global private investment in AI increased 48% year over year in 2021 to USD$93.5 bn, more than double the total private investment in 2020. 5

Risks of the robots

COVID has hastened the adoption of technologies such as AI, chatbots, robot process automation (RPA) in white collar roles and industrial robots in blue collar jobs – all of which we estimate could displace 2 billion jobs by 2030. Up to 47% of U.S. jobs could impacted from computerization as less time is spent on routine and manual tasks that require time in training and education. For example, the Transport and Logistics sector could have relatively more day-to-day tasks that can be automated (e.g., conducting document checks at customs to ensure a smoother process).

North America and Europe more at risk of automation

By region, jobs in North America and Europe are more at risk of automation (averaging c.43% and c.35% across different sectors, respectively), whereas countries in Asia have a much lower potential. This can be explained by the industry composition and differences in how regions perform the same job function. Countries with a greater focus on manufacturing have a higher risk of automation.

Machines have their limits: premium for jobs with intelligence and creativity

Workers should look toward tasks with skill sets that robots and computers cannot easily accomplish in the next 10 to 20 years. For instance, dexterity is something that current robot hardware technologies have not yet mastered. There will likely be an increasing premium for jobs that require social intelligence, creativity and complex problem-solving.

New jobs are likely to come from health, STEM (science, technology, engineering and mathematics) and managerial roles

AI could also create new jobs, particularly with regard to training and maintaining the AI technology. The net result on the labor market depends on the number of jobs created versus the number that are automated.

Job market: automation

Since ChatGPT can generate human-like content, it is possible to automate tasks, hence displacing certain tasks. It could impact the Advertising, Art and Design and Entertainment sectors. Health and Science are least likely to experience automation but Manufacturing and Transportation are the most likely.

Travel and Transportation are some of the industries which could see the greatest potential incremental value from AI. In contrast, the more science-based sectors like Aerospace and Defense, Semiconductors, Pharmaceuticals and Healthcare could see relatively some of the lowest potential incremental values from AI. Hence, these sectors are less likely to experience job displacement by ChatGPT or similar generative AI programs.

Don’t underestimate humans’ ability to one-up technology

There are areas where humans can beat machines. In the future, we believe there will likely be an increasing premium for jobs within occupational groups that require social intelligence, creativity and complex problem solving as opposed to repetitive, low-dexterity skills. For instance, an event planner requires more social intelligence than a dishwasher in hospitality, fashion designers require more creativity than a seamstress in apparel, and a medical surgeon requires greater perception and manipulation of tasks than a clinic receptionist within healthcare. The mass adoption of AI can usher society into the fifth industrial revolution. We are at a defining moment – like the internet in the ‘90s – where AI is moving toward mass adoption, with large language models like ChatGPT finally enabling us to fully capitalize on the data revolution.

Data Sources:

1 PwC (PricewaterhouseCoopers) Did You Know: Artificial Intelligence to drive GDP gains of USD$15.7 tn. June 27, 2017.

2 McKinsey Open data: Unlocking innovation and performance with liquid information. October 2013.

3 IDC (International Data Corporation) Forecasts 18.6% Compound Annual Growth for the Artificial Intelligence Market in 2022–2026.

4 McKinsey: The state of AI in 2022—and a half decade in review. December 2022.

5 Stanford University Human-Centered Artificial Intelligence Index Report 2022.

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We are honored to be named #1 in the All-America Research Team survey on Oct 24, 2023, collected during the polling period of May 30 – June 23. Read more for details and methodology.

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