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Top 10 ICOs in The Class of 2017 bring 99% of the net gain (84% of the gross gain) since the initial offerings. A majority are in blockchain infrastructure.
EY · 2018 · financial_analysis
Top 10 ICOs in The Class of 2017 bring 99% of the net gain (84% of the gross gain) since the initial offerings. A majority are in blockchain infrastructure.
99% — Net gain
 The most successful investments from 2017 were blockchain platforms, but so far, none are challenging Ethereum.
EY · 2018 · market_landscape
The most successful investments from 2017 were blockchain platforms, but so far, none are challenging Ethereum.
12,289 — Capital raised
 The Ethereum developer community is more dominant than the nearest competing platforms.
EY · 2018 · competitive_analysis
The Ethereum developer community is more dominant than the nearest competing platforms.
5,434 — Developer and social media activity
 Why are we so 'wrong'? A wide range of causes
misc · 2024 · diagnosis
Why are we so 'wrong'? A wide range of causes
 Why understanding the perils of perception is important
misc · 2024 · context
Why understanding the perils of perception is important
 Which of these, if any, do you think are the biggest reasons for this?
misc · 2024 · data_table
Which of these, if any, do you think are the biggest reasons for this?
45% — % agree
 The more time spent on social media daily, the more likely someone is to buy into conspiracy theories / the less likely they are to trust in elites, scientists and elections.
misc · 2024 · analyze_data
The more time spent on social media daily, the more likely someone is to buy into conspiracy theories / the less likely they are to trust in elites, scientists and elections.
 On average across 30 countries, people who report getting their news primarily from traditional news media outlet such as tv, radio or newspapers are more likely to trust scientists, 'elites' and elections than those who get their news primarily from 'new' media or from friends or family.
misc · 2024 · analyze_data
On average across 30 countries, people who report getting their news primarily from traditional news media outlet such as tv, radio or newspapers are more likely to trust scientists, 'elites' and elections than those who get their news primarily from 'new' media or from friends or family.
53% — Percentage agreement
 GenAI can unlock meaningful enhancements in profitability and efficiency for retail and commercial banks
EY · 2023 · key_takeaways
GenAI can unlock meaningful enhancements in profitability and efficiency for retail and commercial banks
86% — GenAI adoption rate
 Retail and commercial banks demonstrate growing interest in GenAI solutions, anticipate enhanced profitability and have begun deploying dedicated resources
EY · 2023 · key_takeaways
Retail and commercial banks demonstrate growing interest in GenAI solutions, anticipate enhanced profitability and have begun deploying dedicated resources
45% — GenAI investment
 45% of banks are already investing in GenAI, with larger banks outpacing their peers; productivity, CX enhancement and cost reduction are top drivers
EY · 2023 · industry_trends
45% of banks are already investing in GenAI, with larger banks outpacing their peers; productivity, CX enhancement and cost reduction are top drivers
45% — Investment level
 Two-thirds of respondents anticipate greater productivity gains from GenAI; over half expect it to enhance existing tech capabilities and accelerate innovation
EY · 2023 · market_landscape
Two-thirds of respondents anticipate greater productivity gains from GenAI; over half expect it to enhance existing tech capabilities and accelerate innovation
66% — Respondent sentiment
 Impacts to workforce, productivity enhancements and cost savings are expected to be larger across the back office
EY · 2023 · industry_trends
Impacts to workforce, productivity enhancements and cost savings are expected to be larger across the back office
 Customer service, onboarding, risk management and operations were identified as top impacted areas in terms of cost and time savings
EY · 2023 · key_takeaways
Customer service, onboarding, risk management and operations were identified as top impacted areas in terms of cost and time savings
66% — Expected time and cost savings
 50% of banks are exploring <10 novel use cases; of those, client-focused use cases such as enhancing marketing and human-like chatbots are top priorities
EY · 2023 · industry_trends
50% of banks are exploring <10 novel use cases; of those, client-focused use cases such as enhancing marketing and human-like chatbots are top priorities
50% — Percentage of banks
 Majority of respondents (66%) note less than 40% of viable use cases are front-office focused, with 67% waiting for further development and testing before prioritization
EY · 2023 · key_takeaways
Majority of respondents (66%) note less than 40% of viable use cases are front-office focused, with 67% waiting for further development and testing before prioritization
66% — Use case prioritization
 Two-thirds of all respondents express confidence in their internal capabilities to deploy GenAI use cases, with data privacy and accuracy/reliability as top concerns
EY · 2023 · key_takeaways
Two-thirds of all respondents express confidence in their internal capabilities to deploy GenAI use cases, with data privacy and accuracy/reliability as top concerns
66% — Confidence in internal capabilities
 Banks are cautious about GenAI viability to drive full automation in the near term and most still do not see high viability even after 10 years
EY · 2023 · industry_trends
Banks are cautious about GenAI viability to drive full automation in the near term and most still do not see high viability even after 10 years
44% — Viability of full automation
 90% of banks have dedicated at least some resources to GenAI initiatives; however, most applications (73%) are not expected to launch before 2024
EY · 2023 · industry_trends
90% of banks have dedicated at least some resources to GenAI initiatives; however, most applications (73%) are not expected to launch before 2024
90% — GenAI launch timeline
 61% of banks have already launched or soft-launched GenAI applications, and are largely funding efforts from their IT/tech spend
EY · 2023 · industry_trends
61% of banks have already launched or soft-launched GenAI applications, and are largely funding efforts from their IT/tech spend
61% — GenAI adoption rate
 Of banks that have not yet established a GenAI team, a majority plan to establish a team within the next one to two years
EY · 2023 · market_landscape
Of banks that have not yet established a GenAI team, a majority plan to establish a team within the next one to two years
79% — Percentage of banks planning to establish GenAI team
 What’s the future of generative AI? An early view in 15 charts
McKinsey · 2023 · cover
What’s the future of generative AI? An early view in 15 charts
 McKinsey research has found that generative AI features stand to add up to $4.4 trillion to the global economy—annually.
McKinsey · 2023 · executive_summary
McKinsey research has found that generative AI features stand to add up to $4.4 trillion to the global economy—annually.
$4.4 trillion — Annual global economic value
 Generative AI has been evolving at a rapid pace.
McKinsey · 2023 · timeline
Generative AI has been evolving at a rapid pace.
 The road to human-level performance just got shorter
McKinsey · 2023 · industry_trends
The road to human-level performance just got shorter
40 years — Year of human-level performance
 Advances in technical capabilities could have the most impact on activities performed by educators, professionals, and creatives.
McKinsey · 2023 · industry_trends
Advances in technical capabilities could have the most impact on activities performed by educators, professionals, and creatives.
63% — Technical automation potential
 Apps keep proliferating to address specific use cases
McKinsey · 2023 · data_table
Apps keep proliferating to address specific use cases
 Generative AI will affect business functions differently across industries.
McKinsey · 2023 · heatmap_matrix
Generative AI will affect business functions differently across industries.
2,600-4,400 — Productivity impact
 Generative AI could deliver significant value when deployed in some use cases across a selection of top industries.
McKinsey · 2023 · impact_sizing
Generative AI could deliver significant value when deployed in some use cases across a selection of top industries.
660 — Total value per industry
 Commercial leaders are already leveraging generative AI use cases—but most feel the technology is underutilized.
McKinsey · 2023 · problem_statement
Commercial leaders are already leveraging generative AI use cases—but most feel the technology is underutilized.
60% — Percentage of respondents
 Commercial leaders are cautiously optimistic about generative AI use cases, anticipating moderate to significant impact.
McKinsey · 2023 · market_landscape
Commercial leaders are cautiously optimistic about generative AI use cases, anticipating moderate to significant impact.
60% — Percentage of respondents expecting significant impact
 Generative AI can increase developer speed, but less so for complex tasks.
McKinsey · 2023 · data_table
Generative AI can increase developer speed, but less so for complex tasks.
45-50 — Reduction in task completion time
 Generative AI tools have potential to improve the developer experience.
McKinsey · 2023 · industry_trends
Generative AI tools have potential to improve the developer experience.
50 — Developer sentiment
 Momentum among workers for using gen AI tools is building
McKinsey · 2023 · industry_trends
Momentum among workers for using gen AI tools is building
 Job postings for fields related to tech trends grew by 400,000 between 2021 and 2022, with generative AI growing the fastest.
McKinsey · 2023 · industry_trends
Job postings for fields related to tech trends grew by 400,000 between 2021 and 2022, with generative AI growing the fastest.
400,000 — Job postings growth
 Inaccuracy, cybersecurity, and intellectual property infringement are the most-cited risks of generative AI adoption.
McKinsey · 2023 · risk_register
Inaccuracy, cybersecurity, and intellectual property infringement are the most-cited risks of generative AI adoption.
56% — Percentage of respondents
 Generative AI could contribute to productivity growth if labor hours can be redeployed effectively.
McKinsey · 2023 · impact_sizing
Generative AI could contribute to productivity growth if labor hours can be redeployed effectively.
4.2% — Productivity growth CAGR
 Generative AI could create additional value potential above what could be unlocked by other AI and analytics.
McKinsey · 2023 · impact_sizing
Generative AI could create additional value potential above what could be unlocked by other AI and analytics.
$17.1-25.6tn — Economic impact ($ trillion)
 2023 EBA Stress Test Results are out – Although results show the second highest capital depletion in stress history, given strong capital positions, remaining buffers and improved profitability, most banks will be able to increase dividends and share buybacks.
AlvarezMarsal · 2023 · key_takeaways
2023 EBA Stress Test Results are out – Although results show the second highest capital depletion in stress history, given strong capital positions, remaining buffers and improved profitability, most banks will be able to increase dividends and share buybacks.
459bps — CET1 depletion
 2023 EBA Stress Test impact shows less capital depletion compared to ST'21 (measured as 2022 CET1 to adverse FL) (459bps vs. 485bps). Also, capital flexibility shows better results (488bps vs. 466bps).
AlvarezMarsal · 2023 · financial_analysis
2023 EBA Stress Test impact shows less capital depletion compared to ST'21 (measured as 2022 CET1 to adverse FL) (459bps vs. 485bps). Also, capital flexibility shows better results (488bps vs. 466bps).
459bps — CET1 Ratio
 Capital flexibility has improved as compared to ST'21 due to higher CET1 starting point level. Only one bank falls below 5.5% (Banque Postale) and only 17 banks ends with low levels of buffer and CET1 post stress below 9%.
AlvarezMarsal · 2023 · scatter_plot
Capital flexibility has improved as compared to ST'21 due to higher CET1 starting point level. Only one bank falls below 5.5% (Banque Postale) and only 17 banks ends with low levels of buffer and CET1 post stress below 9%.
459bps — CET1 ratio
 1. EBA Stress Test Impacts
AlvarezMarsal · 2023 · data_table
1. EBA Stress Test Impacts
-459 — Stressed CET1 Depletion
 Worst capital depletion banks on fully loaded basis are La Banque Postale, de Volksbank and Barclays. Best capital depletion banks on fully loaded basis are Bank Polska, Länsförsäkringar Bank and Caixa Geral de Depositos.
AlvarezMarsal · 2023 · data_table
Worst capital depletion banks on fully loaded basis are La Banque Postale, de Volksbank and Barclays. Best capital depletion banks on fully loaded basis are Bank Polska, Länsförsäkringar Bank and Caixa Geral de Depositos.
-1462 — Stressed CET1 Depletion
 1. EBA Stress Test Impacts
AlvarezMarsal · 2023 · benchmark_peers
1. EBA Stress Test Impacts
-1025 — Stressed CET1 Depletion
 A deep dive on credit risk impacts shows Corporates SME and Retail Secured by real estate property – Non-SME as most sensitive asset classes measured by Provision Multipliers for Stage 2 and 3.
AlvarezMarsal · 2023 · data_table
A deep dive on credit risk impacts shows Corporates SME and Retail Secured by real estate property – Non-SME as most sensitive asset classes measured by Provision Multipliers for Stage 2 and 3.
x 2.4 — Provision Multiplier
 No incremental capital needs with only one bank falling below the old 5.5% CET1 minimum threshold (La Banque Postale)
AlvarezMarsal · 2023 · financial_analysis
No incremental capital needs with only one bank falling below the old 5.5% CET1 minimum threshold (La Banque Postale)
5.5% — CET1 ratio
 2. Potential for Capital Distribution - Dividends and Buybacks
AlvarezMarsal · 2023 · process_diagram
2. Potential for Capital Distribution - Dividends and Buybacks
 2. Potential for Capital Distribution - Dividends and Buybacks
AlvarezMarsal · 2023 · data_table
2. Potential for Capital Distribution - Dividends and Buybacks
18.37% — Excess Capital (%)
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