AI mass adoption starts this year. How to profit on it?
There is the Road Map of future AI Consortium, aimed at sharing benefits of the wealth redistribution wave.
As a consultant of 2 AI unicorns, Uipath and GetYourGuide, I implement a sharing revenue collaboration, which helped both companies to scale. Now, it is time to scale this concep itself.
Ai revolution, backed by 95 biggest venture funds, will disrupt value chains in almost all industries. See, who backed it.
US and Japan’s most renowned men are the drivers of this abundance of investments in AI that started in 2016 with D.Trump help to make SoftBank Vision fund backed by Saudi Arabia. But only this year the inflection point was reached this year when China’s superiority in AI mass adoption push them to accelerate this process: US announced Federal strategy for AI R&D to help the United States continue to lead the world. And SoftBank raised Vision Fund 2 ($108 Bln.)
Not to mention Microsoft $1 Bln.investment in Open AI, UiPath got $568 mln. to maintain leadership, and Sequoia Capital has raised $6 billion to take on SoftBank. It’s the largest fund in Silicon Valley’s history. https://www.businessinsider.com/sequoia-capital-6-billion-fund-softbank-2018-6
GOOGLE CONTINUES INVESTMENTS IN MILITARY AND POLICE AI . “Senior computer engineers from Google will rotate into firms backed by Gradient Ventures, the emails noted, to provide “the kind of hand-holding support that we think is helpful in growing an AI ecosystem.”
France if backing “AI for Humanity” by €1.5 billion earmarked to enact the plan’s recommendations. Edward Musinski was in the panel of experts working on this document.
The plan details how to align the country’s resources around talent, an open data ecosystem, research institutions, and the ability to address ethical issues and enhance specific sectors of the French economy. The government is making it a priority to develop AI both domestically and by working broadly with the European Union. This overall optimism is evident in our study, as most early adopters from France (76 percent) agree that AI will help augment human capabilities, enabling a collaborative working partnership.
But transformational projects are not yet a priority — there may be other competing priorities, including General Data Protection Regulation (GDPR) compliance and broader data management efforts. Finally, many companies feel their AI deployments are simply enabling them to keep up with their competition
Where the investments will go?
These range from the US executive order on AI leadership and China’s “Next Generation Artificial Intelligence Development Plan” to “AI Made in Germany” and the “Pan-Canadian Artificial Intelligence Strategy.” These strategies focus on talent and education, government investment, research, and collaborative partnerships.
In response to this talent pressure, many US enterprises are using internal training programs to bolster their workforce.
No matter their country, companies agree that AI is “critically” important to their company’s success today.
But most organizations face AI skill gaps and are looking for expertise to bolster their capabilities. Sixty-eight percent of global respondents indicated moderate-to-extreme AI skills gaps, and the top three roles needed to fill the gaps include AI researchers, software developers, and data scientists.
As more companies weave AI into their operations and products, they increasingly need the right talent to support large-scale initiatives. But as the number of AI applications increases, the talent pool may feel somewhat fixed. Clearly, US organizations feel this pressure, as 68 percent perceive the talent gap as moderate-to-extreme.
Deep learning could account for $3.5 trillion to $5.8 trillion in annual value, according to McKinsey Global Institute. But there is a shortage of AI specialists. According to a Bloomberg article, “newly minted Ph.D.s in machine learning and data science can make more than $300,000.” The New York Times estimated that the salaries of fresh Ph.D.s and others with limited or no experience range “from $300,000 to $500,000 a year. Even at nonprofits like Elon Musk’s OpenAI, the top AI researcher had a salary of $1.9 million
Why AI specialists will rule the world, see in the article above.
The window of opportunities is closing.
There are indications that the window for competitive differentiation with AI is rapidly closing. As AI technologies become easier to consume and get embedded in an increasing number of products and services, the early-mover advantage will rapidly diminish.
This concentration of AI-driven competitive advantages leads to a possible Great Recession in 2020, when actual financial and economic problems of countries will be aggravated by Ai leaders, which take off the lion share of the added value in globalized economy.
The Global Crisis 2020: trillion $ opportunity
https://medium.com/@eduardmusinsci/the-global-crisis-2020-trillion-opportunity-65d0cd89b758
How to occupy the leadership place in the global AI value chain?
There are tips for success, from AI & RPA leader, UiPath, $7 Bln.company
Telework Consortium is designing the fitst AI mass adoption platform, based on UiPath AI Academy and Edward Musinski concept of Telework https://www.linkedin.com/in/ed-m-629544181/
There are Deloitte report conclusions supporting Telework concept:
- Don’t be afraid to be ambitious. Even if you’re playing catch-up, AI initiatives need not always start small.
- To enable a more transformative approach with AI, pursue a diverse portfolio of projects that will enhance multiple business functions.
- Explore ways to ramp up AI capabilities quickly (for example, with cloud-based AI services or partnerships), rather than focusing exclusively on trying to do everything on your own
- Plan for the fact that, over time, AI will become easier to acquire, with smaller demands for in-house infrastructure, data requirements, and expertise.
Balance your approach to talent
- Though most are looking to the external market to build their AI expertise, opportunities abound to train and utilize existing employees. Build an education plan to identify and prepare current developers, IT staff, and other employees that could help advance your AI efforts.
- Take a holistic approach and improve both technology and business talent to support your AI strategy.
- Develop structured ways to integrate AI into roles and functions — and be prepared to evolve them for the future. Create a vision for what your “augmented workforce” looks like.
AI Telework consortium differentiators are based on:
- Stategic brand management, a positioning based on cultural memes.
The best example: George Soros sponsoring incorporated Liz Simpson.
The brand value depends on what is your market and how scalable is your business model. Amazon becomes the world’s most valuable brand. It makes little money on its core e-commerce business, leads the market in Cloud computing and home hardware (Amazon Alexa), which may eventually become a major new channel for commerce. The Retail category surged ahead with a 35% increase due to a shift towards eCommerce. http://www.millwardbrown.com/brandz/rankings-and-reports/top-global-brands/2018
Telework Metabook brand is based on the expectation to have a personal AI mentor (doctor, marketer, accountant, bodyguard). The promise of UiPath initiative “Apply Ai in 30 sec.to Solve Real Business Challenge”
2. Global presence.
Creating a global network of 100 offices for AI Edutainment and showcasing.
This is the plan of Telework consortium “How to occupy the leadership place in the global AI value chain”:
We plan a Road Map as follows:
•AI assistant training and Telework distribution agent network building
- Investment into AI startups from Emtech rating
- Acquiring bln. impressions at side-events after biggest business events, endorsed by stars of revenue sharing base
- The main differentiator is supposed to be a sharing revenue rating system, which provides the most active agents with incentives
Other differentiators are developed in stealth mode.
Edward Musinski,
AI TELEWORK Consortium
