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Artificial Intelligence – IMS StratNews | Financial Services https://www.imsstratnews.com Financial Services News Thu, 29 Nov 2018 14:07:31 +0000 en-GB hourly 1 https://wordpress.org/?v=6.6.5 Does the rise of the machines equal more taxes? HL’s Laith Khalafhttps://www.imsstratnews.com/does-the-rise-of-the-machines-equal-more-taxes-hls-laith-khalaf/ https://www.imsstratnews.com/does-the-rise-of-the-machines-equal-more-taxes-hls-laith-khalaf/#respond Thu, 29 Nov 2018 14:06:05 +0000 https://www.imsstratnews.com/?p=1123 Notice: Trying to access array offset on value of type null in /homepages/35/d733154868/htdocs/imsstratnewscom/wp-content/plugins/seo-image/seo-friendly-images.class.php on line 713

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The rise of automated machines and processes raises questions over the tax base and how government spending can be funded if people are working less – and hence paying less taxes on their income.   Ai vs. legacy industry Artificial intelligence is undoubtedly a growing segment of technology and society, but history shows that technological […]

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The rise of automated machines and processes raises questions over the tax base and how government spending can be funded if people are working less – and hence paying less taxes on their income.

 

Ai vs. legacy industry

Artificial intelligence is undoubtedly a growing segment of technology and society, but history shows that technological advances don’t eliminate the need for work, though they can shift its pattern.

 

This applies to agricultural production. In the UK, more than 20 per cent of the workforce was employed in the agricultural sector at the turn of the 20th century, while today, thanks to mechanisation, less than one percent work in agricultural roles. However, that small group produces vastly more food than their predecessors a century ago, which is a clear benefit to society.

 

Ai is likely to drive other significant productivity gains too, and that should also feed through into the cost of providing some public services. However it’s difficult to see many inroads being made into the welfare bill, particularly if fewer working hours per capita lead to the introduction of a Universal Income paid by governments to their citizens.

 

Taxes & a need for change

If income tax receipts should fall as automation rises, there are a number of levers governments can pull to push up tax revenues, while other existing taxes may have to pull more weight.

 

Consumption taxes like VAT could be hiked, and if people are working less then they may have time to consume more, which would swell coffers from this kind of taxation even without a rise in the headline rate.

 

Taxes on business or wealth could also enter the equation if governments find the rise of the robots opens up a black hole in their budgets.

 

Alternatively, new taxes may be introduced which directly tax automated production, or the gains made by owners of that production.

 

Indeed, the UK is now forging ahead with a digital sales tax which shows some governments are not simply going to give technology a free pass when it comes to contributing to the tax take. However, ti should be noted an alliance of Ireland, Sweden, Denmark and Germany blocked the proposal in Brussels for an EU digital sales tax on 29 November 2018.

 

Why Ai could spur a change in taxes

Artificial intelligence will undoubtedly deliver progress in many important areas, particularly in health care.

 

The accountancy firm PwC reckons that UK GDP will be around 10 per cent higher in 2030 as a result of the Ai revolution, mainly through its ability to drive consumption by the production of better and more tailored products. In the long term the impact of Ai is likely to be bigger yet, and the tax system will have to adjust accordingly.

 

It’s too early to call how this will happen – however, one thing we can be relatively sure of is that different models will be adopted across the globe, as political ideologies feed into the equation.

 

Laith Khalaf

Laith Khalaf is a senior analyst with Hargreaves Lansdown and has worked for the retail investor platform since 2001, after graduating from Cambridge University.

His research encompasses funds, markets and investment trends.

Laith is a well-known commentator and frequently features on television and radio, as well as in the national press.

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Automation & Robotics, the pros and cons – TML’s Mario d’Aragonahttps://www.imsstratnews.com/automation-robotics-the-pros-and-cons-tmls-mario-daragona/ https://www.imsstratnews.com/automation-robotics-the-pros-and-cons-tmls-mario-daragona/#respond Fri, 12 Oct 2018 13:58:07 +0000 https://www.imsstratnews.com/?p=1024 Notice: Trying to access array offset on value of type null in /homepages/35/d733154868/htdocs/imsstratnewscom/wp-content/plugins/seo-image/seo-friendly-images.class.php on line 713

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The proliferation of Automation & Robotics within the financial services sector attracts obvious attention, especially from those interested in disruptive innovations.   Mario d’Aragona is the Managing Partner at TML Venture Ltd and supports companies in finding tailor-made investment solutions. His industry focus is on renewable technology, energy and food companies.   He is a […]

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The proliferation of Automation & Robotics within the financial services sector attracts obvious attention, especially from those interested in disruptive innovations.

 

Mario d’Aragona is the Managing Partner at TML Venture Ltd and supports companies in finding tailor-made investment solutions. His industry focus is on renewable technology, energy and food companies.

 

He is a seasoned finance executive who serves as CFO for fire & security, food, energy and clean-tech global companies; has ‘turn-around’ experience and has been involved in the management of re-financing growing businesses:  TML Venture Ltd supports companies in finding tailor-made investment solutions.

 
 
Speaking exclusively to IMS StratNews, the executive offers his views on the relevance of Automation & Robotics.
 
 

Navigating trendy Ai phrases

Artificial intelligence’ (Ai) and ‘Robotic Accounting’ (RA) have emerged as some of the most popular phrases when considering innovation within the world of business and, specifically, financial services.  As phrases go, they sit at the top of many companies ‘must-have’ operational lists – but what do they really mean?
 
 
From my perspective, the definition of Ai’s power is the ability to perform tasks requiring Human Intelligence characteristics, such as visual and speech recognition.
 
 
Examples of  this are seen with the Mercedes 2014 S-Class, which is capable of driving semi-autonomously in stop and go
city traffic, or the 3D Kinetic movement recognition add-on to the Xbox360.  There are, of course, also those  chatbots applications – which are becoming almost ubiquitous – such as Siri, Alexa, and Google Assistant.
 
 
Designers of RPA (Robot process Automation) software aim to mimic human actions. These tasks can have a variegated level of intelligence content, from a basic ATM machine providing cash, to an unsupervised autonomous driving vehicle: Think about Amazon’s Kiva robot, designed to move materials within their warehouse; as well as robots utilised in other factories.
 

Why everybody’s talking about Automation & Robotics

There’s really nothing surprising about the emergence of automation – think about the British Industrial Revolution which led to innovations around the mechanisation of agriculture and textile manufacturing in the early 1800s, or the production of the Ford Motor Car  in the 1900s,  when engines took over the production activities of humans and transport activities of animals, such as horses.
 
 
Admittedly, the transition to new technology was difficult for some existing workforces, and led to the emergence of protest movements including the Luddites, who represented textile workers.
 
 
But, innovation is inevitable, which is why the robotic era is exploding now – because it’s technically possible!
 
 
New software tools like ROS (Robot Operating System), python language, Arduino programmable robots, and new sophisticated Ai algorithms have opened the way to an exponential development in the AI/Automation space. This trend is currently estimated to grow according to Moore’s law.  The same principle applied in relation to the growth of semiconductors.
 
 
As a result, costs related to these products/applications have dropped, making them accessible to the mass market.
 

The weak signals from Automation & Robotics

In my opinion, the transition to a robotic world isn’t only a source of competitive advantage for a limited number of lucky companies to gain market share – it’s a large scale phenomenon capable of redesigning the outlook for the global economy, and wider society.
 
 
However, it hasn’t produced totally positive results:  US productivity has almost tripled since the 1970’s but real hourly compensation has stayed flat.  Salaries, which previously contributed to 67% of US GDP,  now account for only 58% only.
 
 
Other trends include an increase in inequality of 95% relating to income gains, which have been hoovered up by the wealthiest 1% of society.  In addition, the advancement of Automation & Robotics, has played a significant part in the explosion of interim and part-time jobs (the Gig Economy).
 
 
Similar insights have been seen in the UK and in EU countries, with work conventionally performed by humans being seen to reduce, and be carried out by machines.
 

Where Automation & Robotics are most prevalent in ‘real-life’ business

Automation & Robotics are pervasive and perhaps even unavoidable within may areas of both business and private life.
 
 
In the world of industry. advanced agricultural drones have the ability to manage crops at a level of granularity that would be inconceivable for human workers, with a swarm of robots be able to manage the maintenance of crops.
 
 
Meanwhile, in the world of E-retail and entertainment, companies like Amazon, eBay and Netflix have overshadowed the importance of  traditional brick and mortar companies like Blockbuster.
 
Examples of superseding Automation & Robotics (Ai):
  • Quill Narrative Science’s technology which provides automated written articles
  • Amazon’s and Netflix’s capability to generate automated book and movie recommendations
  • Workfusion’s provision of RPA (Robotic Processes Automation)
  • Computerised unsupervised Algorithms like blockchain
  • Watson – the ‘cognitive’ computing analytics provider for the trading floor,
 
all of which play a part in the diminution of both manually skilled and professional skilled jobs .
 

Automation & Robotics versus a singularity

Back in 2014, the late Professor Stephen Hawking penned an article about the perils as he saw them connected to rapidly advancing artificial intelligence, which he described as  “potentially our worst mistake in history”.
Automation & Robotics
Professor Stephen Hawking viewed the advancement of Automation & Robotics as “potentially our worst mistake in history”
 
 
He intimated that, whoever achieves fully cognitive self-enhancing Ai first, will effectively be uncatchable; and ultimately no one will be able to derive income from work. In addition, income from capital ownership of machines will become concentrated in the hands of a few: And the rational owner will not want to hire more workers than necessary; meanwhile, machines are evolving and becoming, already in many cases, autonomous workers.
 
 
The question is, what will be the response of governments to this scenario?
 
 
It is of course hard to say, but it is possible that governments will react to these changes within their economies by instituting aggressive income redistribution. Possibly, they will introduce a minimal salary for their citizens  equatable to the Reddito di Cittadinanza in Italy.

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