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First AI crushed human gamers, now it’s coaching them

AI learns in a different way to beat humans at, literally, their own games. Now it's being used to coach gamers become better gamers, and it won't stop with just gaming.

Key takeaways

  • E-Sports, like Riot Games, attract more than 450 million enthusiasts and viewers annually, generating nearly $1.1 billion in revenue per year .
  • For example, 200 million viewers followed the 2018 League of Legends World Championship making it one of the world’s most watched sport events.
  • The co-founder of Falcon AI, Berk Ozer, says their plan is to help E-sport gamers with a tool which will help them improve their weaknesses in games like League of Legends, Valorant, and DOTA 2.
Cite or link to this article

Griffin, M. (2020) 'First AI crushed human gamers, now it’s coaching them', 311 Institute, 1 December. Available at: https://www.311institute.com/first-ai-crushed-human-gamers-now-its-coaching-them-to-be-better-gamers/ (Accessed: 1 October 2026).

This year we’ve heard a lot about organisations developing Artificial Intelligence (AI) agents that can not just beat the best human gamers at games like Chess, Dota 2, Poker, or Starcraft, but also AI’s that are helping the US military play wargames, and even using human gamers brainwaves to help them train swarms of military robots in the art of strategy before they go into war. All of which is some of the less bizarre and surreal stuff …

I’ve long been saying that while most news companies are focused on AI’s downsides, such as its seemingly ceaseless quest to make people redundant, from managers, surgeons, and teachers, to insurance brokers, newscasters, professional drivers, and sheep herders, that there are significant upsides too.

For one, AI’s are now at the point where they can make their own knowledge because the way they learn is fundamentally different to the way humans learn, so it’s inevitable that at some point we’ll start seeing human learning being augmented by AI which, in turn, will help us humans learn new things in new ways faster, increasingly AI, and our smart devices, are becoming our second brains. And as I’ve talked about several times in my keynotes this union will help unlock and unleash our own human potential in amazing new ways.

For example, what happens if the same AI’s that are beating us also help us learn new strategies, help us identify weaknesses in our strategies, and improve our plays so we can up our proverbial game?

Well, now a company out of Turkey is doing just that after Falcon AI announced their AI is now helping gamers develop skills and tactics by analysing and reporting on their playing style, and pinpointing strengths and weaknesses.

Falcon AI has developed SenpAI, an AI that enables E-Sport players develop their tactics and playing style in a bid to push the envelope in the competitive gaming world.

E-Sports, like Riot Games, attract more than 450 million enthusiasts and viewers annually, generating nearly $1.1 billion in revenue per year . For example, 200 million viewers followed the 2018 League of Legends World Championship making it one of the world’s most watched sport events.

SenpAI is a player’s personal artificial intelligence coach which “utilises state-of-the-art AI methods to run a deep analysis of users' playing style, pinpointing their strengths and weaknesses.”

“Users gain access to a personalised library of AI-generated video clips from professional matches, all tailored to their interest while maximizing their learning potential,” according to the website.

The co-founder of Falcon AI, Berk Ozer, says their plan is to help E-sport gamers with a tool which will help them improve their weaknesses in games like League of Legends, Valorant, and DOTA 2.

“We founded Falcon AI in 2017. Our main aim was to improve our AI capabilities. Seeing the high demand in esports, we decided to focus on it completely,” said Ozer. “When I say E-sports, people may misunderstand me. We are not focusing on only real professionals. Our focus includes both professional gamers and up-and-coming gamers who just want to improve their skills,” he added.

The program works by first first analysing players’ match data and after evaluating the data it will make recommendations, analyse and provide additional information about the game and their gameplay.

“For example, when a player is about to begin a match, we provide them crucial information such as which champion will suit their skills better or which champion will be more beneficial in their efforts to defeat the opponent team,” he added.

SenpAI can also compare between users and determine whose skills and playing styles are similar to theirs. Afterwards, the program shows the users how a professional E-sport player, whose style is similar to another user, chooses items and other selections within the game. Ozer also said SenpAI is not cheating software but it mainly focuses on just giving pre-match and post-match analysis for gamers.

“Our goal is to make this product, which was developed by Turkish engineers, globally successful. Our Turkish engineers are developing SenpAI.gg, and we are here in the United States for marketing purposes,” said Ozer, who then quickly added that ultimately he wants to turn the company into a household name.

311 Intelligence

What this means for your organisation

AI moves from rival to coach.

Systems that beat humans can now show them where they go wrong. Personal analysis at scale was once only for elite players. Training leaders should ask where AI could coach their staff.

Learning becomes tailored.

SenpAI builds a personal library of clips matched to each player's needs. Tailored feedback speeds up learning. Apply the same idea to sales, service or technical training.

E-sports is a big proving ground.

E-sports attract more than 450 million fans and viewers a year. That gives AI coaching a large, data-rich market to refine itself. Watch which methods move from gaming into the workplace.

Three questions for your next leadership meeting

  1. Where could AI coaching speed up skills training for our staff?
  2. What data would we need to give people tailored feedback?
  3. Which coaching methods from gaming could transfer to our business?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

AI learns in a different way to beat humans at, literally, their own games. Now it's being used to coach gamers become better gamers, and it won't stop with just gaming.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Dossier opens the 311 Starburst dossier for that technology or trend.

Sources and further reading

  1. Falcon AI falconai.tech
  2. $1.1 billion in revenue per year newzoo.com
  3. player’s personal artificial intelligence coach senpai.gg

Source: first published by the 311 Institute on 1 December 2020. Cite as: Griffin, M. (2020). First AI crushed human gamers, now it’s coaching them. 311 Institute. https://www.311institute.com/first-ai-crushed-human-gamers-now-its-coaching-them-to-be-better-gamers/

You are welcome to quote this article with credit and a link to the original.

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