According to a report by Global News Wire the AI industry is projected to reach 299 Billion USD in 2026 from 29 Billion in 2020.  This means AI is predicted to grow exponentially in the future with companies like US Alphabet, Chinese Baidu, Japanese Preferred Networks and Chilean Norco among others gaining substantial valuations. Therefore the need for AI development in marketing, sales and business will continue to grow.  The question is who will produce the AI the world uses?  Will nations have to play catch up to coexist or fit there industries with one-size fits all AI tech?

One of the many conundrums of AI and machine learning technology is it’s ability to transmit bias and squelch diversity. Many companies, government agencies and nongovernmental organizations are turning to AI to attract better prospects and retain customers.  The potential for delivering palpable benefit is massive.  Unfortunatrly, so too is the possibility of diverting it.

According to a report by Global News Wire the AI industry is projected to reach 299 Billion USD in 2026 from 29 Billion in 2020. 

AI is only as intelligent as it’s programmer, unfortunately and has the capacity to learn only as efficiently as it’s programmer reasons–in other words, your AI will come to conclusions based on the logic the programmer designs into it.  While there is room for dynamic learning in AI and business and marketing has by no means reached the pinnacle of AI devwlopment, it is important that companies, nations and groups get in on the ground floor.

While AI integration may seem as simple as buying a new Microsoft Suite, it is not. There are embedded into programs the ethnic, regional and societal ideas about what the consumer wants and who the consumer is within society.  Unfortunately a copy and paste approach might be a disaster for a country who seeks to overlay US AI tech over a Middle Eastern Muslim world, skewing the logic of a religious world now governed by a secular AI system. 

It is then of necessity for local, domestic and international  markets that tech be developed in house.  It is not always that the big names in tech actually hire and implement diversity.  And even when they do, those voices may not get a final say or any say at all.  So expanding the knowledge-base of AI technology must be primary for nations and markets around the world. 

Just as big box marketing continues to miss the mark for cultural, international and nuanced markets (no matter how big or small), SO has the potential to do the same; with companies, government agencies and NGOs grappling to follow  AI tech that does not accommodate or adequately use the logic of its local populations and markets.

Much in the same way we see that production of semiconductors technology can be hoarded and used against industries and markets,  so also AI developments. While AI remains in its infancy, nations, companies, and educational institutions must look carefully after the future and health of its market by developing in-house, domestic and local talent in AI development. 

This means AI is predicted to grow exponentially in the future with companies like US Alphabet, Chinese Baidu, Japanese Preferred Networks and Chilean NotCo among others gaining substantial valuations.

This may mean importing talent to train, special advisory missions, and exchanges of talent to acquire necessary skill. Offering insentives, tapping unused employment markets in more advanced nations and finding ways to expand on the tech within your agency, organizations or businesses.  It will mean being proactive about a world where certain zero-sum groups see your growth and prosperity as a national threat.  Forward thinking will be key as AI develops so that your company, agency or nation will not be locked out of new and growing markets.