What Every Executive Needs To Know About AI

What Every Executive Needs to Know About AI

As they develop their AI strategies, companies across industries already are making big moves, experimenting with intelligent agents, partnerships, and products.

1940s Transistor

1960s Microprocesser and computer

1980s PC

1990s Internet

2000s Mobile

2010s Cloud

NOW

Artificial intelligence initiates the era of intelligent agents

Rapidly evolving capabilities for AI to mimic and replicate human reasoning and understanding pave the way for the emergence of intelligent agents.

Elements of intelligence: Illustrative use:

Perceive and understand Image captioning

Communicate and create Facial synthesis

Reason and plan Digital assistants' IQ

Act and use tool Code generation test

FROM

Six years ago...

Costly, hand-tuned models lagged far behind humans

General-purpose customizable models rival humans

Today

"A group of people standing on a top of a beach"

"Chicken nuggets arranged to vaguely resemble a map of the world"

18yo

12yo

6yo

Baidu

Bing

Google

IQ score

Bar exam multiple choice

AI is changing the game

It will change how companies deliver value to their customers, and it will supercharge productivity. In some industries, these transformations will lead to the emergence of entirely new business models. Going forward, robust strategies need to incorporate the risks and opportunities posed by this dynamic technology.

Reinvented customer value

AI will revolutionize the way that customers interact with companies, transforming what they value from products, services, and experiences.

Examples of transforming the customer experience with AI

GPT-4

MIDJOURNEY

CLAUDE 2

GPT-4

HYPERPERSONALIZATION

ELEVATED CUSTOMER EXPERIENCE

HYPERPERSONALIZATION

AGENT-LED DISCOVERY

Company information Founding year: 2020 Company headquarters: Paris, France Employees: 1–10 Key executives: Maxime Patte (cofounder and CEO), Damien Meurisse (cofounder) Source: Crunchbase

Veesual provides fashion brands and retailers with personalized image solutions, eliminating the need for additional photoshoots or extensive editing. By simply selecting a model and choosing an apparel, Veesual's platform generates tailored images that cater to specific target audiences Allows fashion brands to enhance their e-commerce, social media, and communication strategies by enabling them to engage with target audiences effectively

Veesual is an image personalization platform based on generative AI that offers personalized, virtual try-ons with instant image generation of all possible combinations of clothing

Company information Founding year: 2017 Company headquarters: London, UK Employees: 201–300 Key executives: Victor Riparbelli (cofounder and CEO), Matthias Niessner (cofounder) Source: Crunchbase

Synthesia employs AI to generate realistic videos using avatars, enabling businesses to create personalized and localized content at scale Synthesia's AI solutions reduce video production costs by up to 80% compared with traditional methods, eliminating the need for actors, studios, and expensive equipment

Synthesia enables rapid video creation using AI-generated avatars and narratives created to match the audience and content

Company information Founding year: 2019 Company headquarters: Texas, US Employees: 11–50 Key executives: Edward Balassanian (founder and CEO) Source: Crunchbase

AiMi utilizes AI to create endless and immersive compositions by leveraging musical material contributed by artists They claim to provide a groundbreaking listening experience that is infinitely evolving and adapts in response to the listener’s feedback

AiMi is a generative music app that delivers a dynamic, uninterrupted, and an endless flow of music personalized for the user

Company information Initiative start date: 2023 Company headquarters: California, US Employees: More than 2,000 Key executives: Fidji Simo (CEO), Nick Giovanni (CFO) Source: Crunchbase

Instacart's newly launched AI search tool “Ask Instacart” is designed to help customers save time and assist them with shopping questions by offering personalized recommendations Ask Instacart incorporates personalized question prompts, reminds users about their grocery needs based on their shopping history, and encourages them to discover new products

Instacart enhanced the grocery shopping experience with "Ask Instacart", an AI-powered search feature that helps users discover creative recipes and find the perfect ingredients with their personalized assistant

Company information Initiative start date: 2023 Company headquarters: Stockholm, Sweden Employees: More than 2,000 Key executives: Daniel Ek (CEO), Paul Vogel (CFO) Source: Crunchbase

Spotify's AI-powered personalized playlists, accounting for around 30% of streams, have propelled its market dominance and engaged users effectively With the launch of the DJ feature, Spotify takes personalization to new heights by seamlessly curating new releases tailored to users' music taste or reviving nostalgic playlists from the past, delivering a completely personal experience to every user

Spotify's DJ feature combines curated music selections with AI-generated spoken commentary about users' favorite tracks and artists, featuring a "stunningly realistic voice"

Company information Founding year: 2015 Company headquarters: New Jersey, US Employees: 1–10 Key executives: Shilp Agarwal (cofounder and CEO), Rahul Agarwal (cofounder and CTO) Source: Crunchbase

Blutag's Smart ChatGPT plugin feature automates the process of building shopping carts from a conversation started inside of ChatGPT, providing an exceptional customer experience that is both seamless and intuitive It can be integrated into any application, chatbot, or voice assistant, including cars, enabling users to order groceries through Siri or to ask Alexa to reorder coffee, etc.

Blutag delivers scalable intelligent, conversational commerce with AI sales agents trained on clients' product catalogs

Supercharged productivity

AI will empower companies to transform key elements of their operations, fueling productivity gains and expediting innovation.

This productivity leap will differ by industry and function, likely with larger impact on knowledge-based roles

WORKFLOW AUGMENTATION

KNOWLEDGE TASK AUTOMATION

ELEVATED CUSTOMER EXPERIENCE

WORKFLOW AUGMENTATION

KNOWLEDGE TASK AUTOMATION

Company information Founding year: 2019 Company headquarters: California, US Employees: 201–300 Key executives: Arvind Jain (cofounder and CEO), T.R. Vishwanath (cofoounder) Source: Crunchbase

Glean offers an AI-powered workplace search tool across all apps of a company to help find exactly what is needed by understanding people, content, and interactions It helps enhance workforce productivity by analyzing, extracting, and synthesizing information in seconds and saves two to three hours per week

Glean enables businesses to connect all their enterprise documentation into an AI engine, allowing for immediate and easy discovery of data and insights employees need

Company information Founding year: 2020 Company headquarters: California, US Employees: 51–100 Key executives: Srinath Sridhar (cofounder and CEO), Matt Millen (cofounder and president) Source: Crunchbase

Regie.ai leverages AI to help customers manage and create impactful content to be used across sales and marketing teams/platforms Regie.ai tracks more than 35 million individual emails spanning thousands of sales sequences, with language models retrained on these campaigns to produce perfect content at the same quality as handcrafted sequences The platform currently supports more than 75 software-as-a-service customers (including AT&T, Crunchbase, Sophos, and Auth0) while allowing easy integration with sales engagement platforms such as Outreach.io, SalesLoft, and HubSpot

Regie.ai is an AI platform for enterprise sales teams that personalizes content, optimizing it for engagement by using data unique to clients’ business and their prospects

Company information Initiative start date: 2023 Company headquarters: Science Park, Hong Kong Employees: 201–300 Key executives: Alexander Zhavoronkov (Cofounder, co-CEO, and board member), Feng Ren (co-CEO and CSO) Source: Crunchbase

Insilico provides an AI-based drug discovery platform, Pharma.AI, that connects all three stages of clinical study from discovery to clinical trials on a single platform It deploys deep generative models and machine learning to discover novel targets and design molecular structures with desired properties

Insilico Medicine employs a unique generative adversarial network (GAN) powered by neural networks to explore novel drug targets and develop the entire drug discovery pipeline

Company information Initiative Start Date: 2022 Company Headquarters: Richmond, VA Employees: 2000+ Key Executives: Bill Nash (President & CEO), James Lyski (CMO & Executive Vice President) Source: Crunchbase

CarMax, the largest used-vehicle retailer in the US by sales volume, has partnered with Microsoft Azure OpenAI to streamline the creation of text summaries for its car research pages, synthesize feedback, generate website content and recommendations for car buyers, freeing up staff time for more creative and strategic tasks

CarMax, a top used car retailer leverages OpenAI for organizing and understanding its large database of customer data/feedback and generating engaging content for its website

Company information Initiative start date: 2023 Company headquarters: New York, US Employees: More than 2,000 Key executives: James P. Gorman (CEO), Sharon Yeshaya (CFO) Source: Crunchbase

The chatbot will provide advisers with access to the bank's vast repository of research and data, enhancing their knowledge and expertise when interacting with clients It has been trialed and trained by 300 RMs and will be rolled out to 16,000 RMs The tool is based on GPT-4 and generates responses using a curated selection of around 100,000 research pieces vetted by Morgan Stanley, with human oversight to ensure accuracy

Morgan Stanley has introduced a GPT-4 powered chatbot to enhance the productivity of relationship managers (RMs) by empowering them with swift access to superior information when interacting with clients

Company information Founding year: 2016 Company headquarters: New York, US Employees: 51–100 Key executives: Andrew Wyatt (Cofounder and CEO), Dylan Pyle (Cofounder and CTO) Source: Crunchbase

CALA's platform enables live collaboration of designers and users, who can generate new visual design ideas from natural text descriptions (“dark and velvet” or “sewn logo onto sleeves”) or uploaded reference images CALA is one of the first Dall-E adopters, and its success is likely to inspire more generative AI partnerships in the fashion industry

CALA, a leading fashion design platform is revolutionizing the fashion industry by leveraging OpenAI’s Dall-E to seek design input from customers while also helping designers avoid creative blocks

Example of enhancing productivity with AI

Intelligent agents will transform what customers value via:

HYPERPERSONALIZATION

Enabling detailed customization of offerings at scale

VALUE-ADDED SERVICES

Reimagining service experiences and democratizing personal assistance/advice

AGENT-LED DISCOVERY

Shifting discovery from a manual, multistep search to a proactive, streamlined agent-led chat

Intelligent agents will transform worker productivity:

KNOWLEDGE TASK AUTOMATION

Democratizing knowledge and technical skill sets using supercharged search and synthesis capabilities

WORKFLOW AUGMENTATION

Performing non-routine functions, information processing, or judgment-based tasks

CONTENT AND OUTPUT GENERATION

Creating original content (e.g., creative, code, etc.)

76.5

Emerging business models

AI will create brand new business models as disruptive as those born from prior groundbreaking technological innovations (e.g., Internet, mobile), reshaping the playing field and what it takes to win.

Intelligent agents will create new business opportunities by:

REDEFINING BUSINESS BOUNDARIES

Reshaping the playing field with new value propositions, company capabilities, and insurgents

CREATING NEW SOURCES OF COMPETITIVE ADVANTAGE

Elevating new critical and proprietary assets including data, models, and talent

TRIGGERING A NEW ENGAGEMENT PARADIGM

Shifting the discovery paradigm (e.g., search to agent chat) to impact the business downstream

Imagine if ...

… an intelligent agent could automate meal planning and grocery shopping, and support meal prep and waste prevention for families

Meal and grocery planning Multiweek plan based on family preferences (e.g., diet, health restrictions, wellness goals, seasonal ingredients, flavor palates, calendars, budgets)

Shopping lists Generated based on the meal plan, what’s in stock, what’s running low in the fridge, ideal timing for delivery/pickup— and all optimized to minimize waste

Preparation assistance Recipes and instructions that consider the desired level of complexity and time, with step-by-step conversational tutorial in new techniques and instruction that gets smarter every week based on prior meals, lessons and feedback

Hyperpersonalization

Value-added services

Agent-led discovery

Imagine if ...

… an intelligent agent could provide customized conversational decision-making support to help customers find their dream car

Personalized recommendations Based on users’ budgets, hobbies, needs, and preferences to identify best-fit models, features, and financing recommendations

Decision support Conversational support in natural language to synthesize input and drill down into decision drivers to provide options and talk through trade-offs

Seamless scheduling Virtual assistant to help schedule appointments for test drives at locations close to the customer at most convenient times for their schedule and nearby traffic

Hyperpersonalization

Value-added services

Agent-led discovery

Imagine if ...

… an intelligent agent could provide drivers with end-to-end personalized support and if this innovation was powered by scaled vehicle insights

Proactive, convenient maintenance Monitor critical vehicle parameters (e.g., battery voltage, mileage, tire pressure), warn owner when an issue arises or maintenance is needed, and auto-schedule maintenance

Improved access to information Voice assistant provides up-to-date and tailored information around policies, products, and services right inside the car

Continuously evolving customer experience Analyze drivers’ usage patterns and performance data to identify opportunities for product improvement and innovation in vehicle design, safety features, and overall performance

AUTOMOTIVE

Hyperpersonalization

Value-added services

Agent-led discovery

Imagine if ...

… an intelligent agent could support salespeople to anticipate customers’ buying patterns and provide the exact product recommendations they need

Unique, value-added advice Use transaction and customer data and chat history to hypothesize their persona, preferences and purchasing criteria to tailor product recommendations (e.g., clean ingredients) Design a personalized skincare routine based on skin type and concerns, with additional skincare and beauty tips Dynamically update recommendations on the fly based on conversational responses (integrated intelligent agent and face-to-face conversations)

CONSUMER PRODUCTS

Hyperpersonalization

Value-added services

Agent-led discovery

Imagine if ...

… an intelligent agent could provide seamless human-like interactions for patients across inquiries and follow-ups

Seamless patient experience at scale Providers able to interact at scale with a wide variety of customer requests (e.g., scheduling, medical advice, patient follow-up, pharmacy liaison)

Conversing with the human touch Intelligent agent has patient history and context and is able to interpret nuance to converse in natural language for guidance and support

Texting like a human AI can learn from user behavior, anticipate potential issues, and proactively suggest solutions and guidance

HEALTHCARE

Hyperpersonalization

Value-added services

Agent-led discovery

Imagine if ...

... an intelligent agent could generate interactive, vivid, and hyperpersonalized marketing campaigns for each customer

Dynamic ad generation As consumers browse, provide contextually relevant ads by analyzing behavior, browsing patterns, and other data, serving fresh content in real time

Intelligent support and recommendations Virtual conversations with brand ambassadors to provide the latest trends and suitable products based on customer needs

Hyperpersonalization

Value-added services

Agent-led discovery

Imagine if ...

… an intelligent agent could take all the hassle out of planning a trip, providing travelers with tailored itineraries and recommendations and the support to make them a reality

End to arduous searches Simple, conversational interactions with an assistant that does all the work for you to synthesize flight, accommodations, activities, and more and that takes away all manual steps

Tailored trips From high-level trip ideas to detailed daily itineraries and reservations, all built collaboratively and customized according to preferences (e.g., hobbies, budget, style), data and feedback from past trips, social media activity, preferred travel review sites, and more

Local guide in your pocket Virtual local guide with informative, immersive, interactive features, provides recommendations before, during and after your trip—from brushing up on language skills to immersing in the local culture and learning elements of history

Savings, budget assistant Support before, during, and after the trip to save, budget, and track spending, with potential to integrate with your financial providers

AIRLINES

Hyperpersonalization

Value-added services

Agent-led discovery

This transformation creates significant opportunity across industries for both business-to-business (B2B) and business-to-consumer (B2C) players

CONSUMER PRODUCTS

Personalized content creation Autogenerate cutting-edge content for highly targeted ad campaigns and e-commerce site content (banners, product recommendations), resulting in increased customer engagement and conversion rates

AUTOMOTIVE

RETAIL

Mitigating disruption and risk

AI will spur disruption across all sectors with varying degrees; the speed and form will be shaped by the interplay of customer expectations, technological evolution, and regulation.

High

Low

Impact on

what customers value

Personalization Service Discovery

More disrupted if higher:

• Opportunity to improve proposition through personalization • Ability to delight without human interaction (communication, service, advice) • Degree to which a proposition is not a physical good/service

Impact on

operations

Knowledge-, content,- and workflow-heavy activities

More disrupted if higher:

• Volume/criticality of knowledge work

• Extent of nonroutine information processing tasks

Reimagine proposition

e.g., RETAIL GROCERY

Reinvent and build new businesses

e.g., Life Sciences

Observe and experiment

e.g., Restaurants

Transform operations

E.G., AEROSPACE

AI’s impact on what customers value and how companies operate will determine sector-level disruption

Build your strategy

AI will create disruption across industries; assess your risk, set an ambition, and develop a strategic path forward.

For example, Carrefour used AI to develop a chatbot to advise customers on shopping tasks such as creating meal plans and restocking their pantries.

For example, Insilico Medicine employs an AI-based drug discovery platform to connect all three stages of clinical study from discovery to clinical trials.

For example, McDonald’s has used AI to help develop marketing assets, but remains intentional about including humans in customer-facing efforts such as automated voice ordering.

For example, NASA’s “evolved structures” technology uses AI to design structural components, producing in just hours what would take a team of designers months to complete.

Redefining business boundaries

History shows us that preference will evolve as AI tech becomes more mainstream Incumbents that fail to adapt are in danger; those that move quickly will flourish

Adaptation to shifting user preferences

As smartphone technology enabled users to place orders for products and services on the go, existing transportation providers failed to quickly adopt the technology. Rideshare companies were able to drive adoption and outcompete existing services by offering a convenience that was in line with smartphone owners’ rising expectations.

Creating new sources of competitive advantage

Proprietary data will enrich the value provided by AI agents and become a differentiated asset Leaders will identify opportunities for network effects to solidly existing differentiators

User data as game-changing competitive asset

A primary enabler of Netflix’s success has been leveraging vast troves of user data. Through deep viewer insights, the company has been able to move from streaming other companies’ content to generating commercially and creatively successful original content. This has led to a flywheel of satisfied users and more efficient investments: 88% of Netflix shows are renewed for a second season vs. around 35% for traditional networks.

Triggering a new engagement paradigm

Consumer-led search and synthesis will be replaced by agent-led chat for discovery, with fewer manual steps This will cause significant change to current SEO-centered marketing processes while also having downstream effects on tech players’ ad-driven business models

Creating a new engagement paradigm

The world of consumer search before Google and other search engines was analog, with potential customers searching for businesses in the phone book, and ad targeting limited by generalized insights on zip codes and media audiences. Google ushered in a new era of search with real-time information, personalized results, and a user-friendly interface. Its advanced algorithms and targeted advertising platforms provided businesses with precision and efficiency in reaching their target audiences, necessitating a shift in advertising strategies.

Creating new sources of competitive advantage

Triggering a new engagement paradigm

We don’t have a crystal ball, but we have seen these shifts play out at other moments of dramatic technological change

historical precedent

Redefining business boundaries

New sources of competitive advantage

historical precedent

An intelligent agent ...

… can accelerate the process to generate, test, and scale more effective ad campaigns

Personalized and dynamic content creation Intelligent agent analyzes customer data, browsing activity, and preferences to generate highly targeted ad campaigns in real time Analyzes social media to identify sentiments, further enhancing emotional resonance of ads

Enhanced campaign performance Quickly tests multiple ad variations, analyzing their performance and automatically adjusting elements to improve campaign effectiveness

An intelligent agent ...

… can generate code and debug existing code

Automated code generation and speech-to-code Intelligent agent generates new web code using a set of user-input requirements, specifications, and design patterns Converts natural language description of software features and requirements into code, bridging the gap between software engineers and nontechnical stakeholders Intelligent automation and debugging Automates repetitive tasks, such as code formatting or code review, to help developers to focus on more complex tasks Analyzes patterns and logs to detect bugs and errors in existing code and suggests resolutions

An intelligent agent ...

... could simplify and optimize supply chain decision making

Reduced stock-outs with intelligent forecasting Intelligent agent leverages large datasets, including historical sales data, reviews, and economic indicators, to produce more accurate demand forecasts

Optimized production planning Analyzes production capacity and inventory levels to identify potential bottlenecks or capacity constraints, enabling manufacturers to ensure that they are producing enough product to meet demand, while avoiding overproduction

Automated supplier matching AI-powered algorithms analyze and compare requirements of a given need with the offerings and capabilities of potential suppliers, making the decision-making process more efficient and expedient

An intelligent agent ...

... could support sales agents to easily cross-sell beyond home and auto

Streamlined meeting prep and follow-up Intelligent agent could recap past interactions in preparation for a meeting, interrogate transcripts to confirm specifics discussed, and draft follow-up emails (including recaps, recommended products, and action items)

Personalized product recommendation Based on customer profile and interaction history, suggests relevant products and content from internal knowledge base

Customer-centric coaching and insights Coaches based on customer sentiment, what worked vs. did not work, and how to improve; also provides insights on how a series of conversations are evolving

An intelligent agent ...

... can minimize product formulation time while increasing output quality

Fast and efficient innovation process Creates new product formulations quickly and more accurately by analyzing data from existing products and identifying patterns in chemical components and proportions

High-quality formulations Ensures that formulations meet company or market criteria by setting product specifications

Targeted recommendations on going to market Receives recommendations on which regional markets or customer segments to target first based on market intelligence

Knowledge task automation

Workflow augmentation

AUTOMOTIVE

MULTI-INDUSTRY

INSURANCE

MULTI-INDUSTRY

This transformation creates significant opportunity across industries for both B2B and B2C players

Content and output generation

Knowledge task automation

Workflow augmentation

Content and output generation

Knowledge task automation

Workflow augmentation

Content and output generation

Knowledge task automation

Workflow augmentation

Content and output generation

Knowledge task automation

Workflow augmentation

Content and output generation

Technology

Expensive science experiments that don’t deliver value System brittleness/failure because of complexity of new technologies

Strategy and organization

Exposure of sensitive data and loss of source of competitive advantage Getting the mix of build/buy wrong Being outflanked by data-savvy competitors Employee uncertainty/churn

Legal and regulatory

Complexity from diverse market postures (US, Canada, EU, UK, China, etc.) Uncertainty on copyright liability in code and image generation

Reputation and ethics

Potential bias/misinformation of AI solutions Potential data misuse/misalignment with stakeholder interests New cybersecurity attack vectors (e.g., data poisoning, prompt injection)

What will AI be capable of?

Advances in capabilities

Reduction in computing costs

Availability of data

What will government/ society allow it to do?

THERE ARE SOME KNOWN RISKS TODAY

AND SOME UNCERTAINTIES THAT WILL PLAY OUT OVER TIME

Privacy/security/bias/copyright

Trust and fraud

Labor disruption

Lessons learned from companies we are supporting on their AI journey

Don't stop at near-term use cases; test long-term strategy/proposition Avoid "wait and see" when disruption potential of customer preferences is high Ensure sponsorship and commitment to tangible value objectives

Avoid expensive science experiments that don't deliver value Rally the org; pre-empt ripple effects of change Enter with clear hypothesis for how to scale

Beware of insurgents with smart strategies to build/acquire data/models Getting mix of buy and build wrong

Established blue/red team to brainstorm business improvements and bold new concepts

Embraced new content generation tools/approach to marketing experiments

Assessed impact on processes and roles and identified critical partners

Tech Co

Beverage Co & Retail Co

Health Insurance Co

Determine strategic posture

Engine 1

Engine 2

Lead through change

Organizational center of gravity

Communicate

Pilot and scale

Build the foundations

Tech, data, and models

Strategic partners

Pilot and scale

Crucial points to consider as you get started

Early movers

Prioritize/launch high ROI use cases

Develop bold new investment themes

How does my business use AI to get better, faster, cheaper?

How would I build my business afresh starting today with AI tools?

Determine strategic posture

Build proprietary data assets and models

Build the foundations

Reshape talent strategy

Forge strategic partnerships

Engage on ethics and regulation

Communicate the ambition

Embrace smart experimentation

Manage internal change amid uncertainty

Create an organizational center of gravity

Lead through change

By Roy Singh and Dunigan O'Keeffe

Reimagine proposition

Reinvent and build new businesses

Observe and experiment

Transform operations

MULTI-INDUSTRY

INSURANCE

MULTI-INDUSTRY

AIRLINES

CONSUMER PRODUCTS

AIRLINES

CONSUMER PRODUCTS

AUTOMOTIVE

CONSUMER PRODUCTS

HEALTHCARE

AUTOMOTIVE

CONSUMER PRODUCTS

HEALTHCARE

AUTOMOTIVE

CONSUMER PRODUCTS

HEALTHCARE

AUTOMOTIVE

RETAIL

AUTOMOTIVE

RETAIL

Accuracy

50%

Estimated percentage of labor time that can be automated using generative AI

Note: Percentages based on preliminary estimates from economists and multiple studies Source: Bain analysis of aggregate sources including GitHub, IBM, Goldman Sachs, OpenAI research, Accenture, and NBER

by industry

by function

Management, finance, ops

40%

Legal

37%

Research

36%

Marketing and PR

32%

Administrative

31%

Sales and customer service

29%

Supply chain

13%

Manufacturing

Note: Percentages based on preliminary estimates from economists and multiple studies Source: Eisfeldt, Andrea L, et al. “Generative AI and Firm Values.” National Bureau of Economic Research, May 2023

by industry

by function

Leisure and restaurants

27%

Retail

29%

Construction

30%

Mining and oil and gas

31%

Transportation

31%

Other services

32%

Arts, entertainment, and recreation

32%

Healthcare and social assistance

33%

Manufacturing and engineering

35%

Real estate

36%

Finance

36%

Wholesale trade

37%

Education services

38%

Agriculture

39%

Administrative services

40%

Information (incl. media and telecom)

40%

Professional services

41%

Costly, hand-tuned models lagged far behind humans

"A group of people standing on top of a beach"

Accurate

Elements of intelligence: Perceive and understand llustrative use: Image captioning

Elements of intelligence: Communicate and create Illustrative use: Facial synthesis

FROM: Six years ago

General-purpose customizable models rival humans

TO: Today

"Chicken nuggets arranged to vaguely resemble a map of the world"

IQ score

18yo

12yo

6yo

Google

Baidu

Bing

Bar exam multiple choice

76.5

HYPERPERSONALIZATION

ELEVATED CUSTOMER EXPERIENCE

HYPERPERSONALIZATION

AGENT-LED DISCOVERY

Veesual is an image personalization platform based on Generative AI. It offers personalized, virtual try on with instant image generation of all possible combinations of clothing

Company information Founding Year: 2020 Company Headquarters: Paris, France Employees: 1-10 Key Executives: Maxime Patte (Co-Founder & CEO), Damien Meurisse (Co-Founder) Source: Crunchbase

Synthesia enables rapid video creation using AI-generated avatars and narratives created to match the audience and content

Company information Founding Year: 2017 Company Headquarters: London, UK Employees: 201-300 Key Executives: Victor Riparbelli (Co-Founder & CEO), Matthias Niessner (Co-Founder) Source: Crunchbase

AiMi is a generative music app that delivers a dynamic, uninterrupted, and an endless flow of music personalized for the user

Company information Founding Year: 2019 Company Headquarters: Texas, USA Employees: 11-50 Key Executives: Edward Balassanian (Founder & CEO) Source: Crunchbase

Instacart enhanced the grocery shopping experience with 'Ask Instacart', an AI-powered search feature that helps users discover creative recipes and find the perfect ingredients with their personalized assistant

Instacart's newly launched AI search tool, “Ask Instacart” is designed to help customers save time and assist them with shopping questions by offering personalized recommendations Ask Instacart incorporates personalized question prompts, reminds users about their their needs based on their shopping history and encourages them to discover new products

Company information Initiative Start Date: 2023 Company Headquarters: California, USA Employees: 2000+ Key Executives: Fidji Simo (CEO), Nick Giovanni (CFO) Source: Crunchbase

Spotify's DJ feature combines curated music selections with AI-generated spoken commentary about users' favorite tracks and artists, featuring a "stunningly realistic voice"

Company information Initiative Start Date: 2023 Company Headquarters: Stockholm, Sweden Employees: 2000+ Key Executives: Daniel Ek (CEO), Paul Vogel (CFO) Source: Crunchbase

Spotify's AI-powered personalized playlists, accounting for ~30% of streams, have propelled its market dominance and engaged users effectively With the launch of the DJ feature, Spotify takes personalization to new heights by seamlessly curating new releases tailored to users' music taste or reviving nostalgic playlists from the past, delivering a completely personal experience to every user

Company information Founding Year: 2015 Company Headquarters: New Jersey, USA Employees: 1-10 Key Executives: Shilp Agarwal (Co-Founder & CEO), Rahul Agarwal (Co-Founder & CTO) Source: Crunchbase

Blutag's Smart ChatGPT plugin feature automates the process of building shopping carts from a conversation started inside of ChatGPT, providing an exceptional customer experience that is both seamless and intuitive It can be integrated into any applications, chatbots or voice assistants including cars, enabling users to order groceries through Siri or asking Alexa to re-order coffee etc.

Blutag delivers scalable intelligent, conversational commerce with AI sales agents trained on clients' product catalogs

GPT-4

MIDJOURNEY

Elements of intelligence: Reason and plan Illustrative use: Digital assistants' IQ

Elements of intelligence: Act and use tool Illustrative use: Code generation test

CLAUDE 2

GPT-4

AUTOMOTIVE

CONSUMER PRODUCTS

HEALTHCARE

AUTOMOTIVE

CONSUMER PRODUCTS

HEALTHCARE

AUTOMOTIVE

RETAIL

AIRLINES

CONSUMER PRODUCTS

Hyper-personalization

Value-added services

Agent-led discovery

Examples of transforming the customer experience with AI

50%

Estimated percentage of labor time that can be automated using generative AI

by industry

by function

Management, finance, ops

40%

Legal

37%

Research

36%

Marketing & PR

32%

Administrative

31%

Sales & customer service

29%

Supply chain

13%

Manufacturing

by industry

by function

Leisure and restaurants

27%

Retail

28%

Construction

29%

Mining and oil and gas

30%

Transportation

31%

Other services

31%

Arts, entertainement, and recreation

31%

Healthcare and social assistance

32%

Manufacturing and engineering

34%

Real estate

36%

Finance

35%

Wholesale trade

36%

Education services

36%

Agriculture

39%

Administrative services

39%

Information (incl. Media and telecom)