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The Rise of AI is Leading to a Dog Eat Dog Tech Industry
Latest   Machine Learning

The Rise of AI is Leading to a Dog Eat Dog Tech Industry

Last Updated on July 25, 2023 by Editorial Team

Author(s): Temidayo Jacob

Originally published on Towards AI.

Photo by Priscilla Du Preez on Unsplash

You would agree with me that the tech industry is undergoing a radical transformation. You can see it. I can see it too.

The rapid development of AI-powered solutions is causing a disruption in the tech industry, hence, impacting how businesses operate. The business environment has become more competitive. New companies are entering the market to challenge established companies with their own innovative solutions. As the barriers to entry become lower and the competition intensifies, one is forced to question what exactly is happening.

Ambitious startups are marching into the tech industry with groundbreaking products and services. Long-established companies are seeking to gain a competitive edge with new products, services, and features. The industry is no longer dominated nor influenced by existing giants. Everyone wants to be at the forefront of AI development. And they do not mind succumbing to a cutthroat mindset as long as they dominate or survive.

So, is the rise of AI leading tech companies to adopt a dog-eat-dog mentality where they are willing to do anything it takes to remain in the market, even if it means engaging in unethical practices? Let’s find out!

How Tech Companies Are Fighting for Dominance

In today’s tech industry, the players are constantly competing with each other. While this competition has existed for a long, it is currently fierce because of the rapid growth of AI technology.

The new players trying to find their footing in the industry are compelled to innovate at a rapid pace or risk being left behind. The giant players are all trying to outdo each other, often at the expense of others. And they do not mind behaving aggressively or unethically to secure a larger market share.

For instance, in 2022, Adobe acquired Figma to gain more technologies and market share. In 2019, Microsoft invested billions of dollars in OpenAI and invested more billions in 2023. Also, in 2023, Google introduced Bard to compete with ChatGPT. In 2023, Mailchimp made changes to its pricing plans to compete better in the market.

All these efforts drive towards one thing. To dominate.

They are giant tech companies, and the pressure on them to innovate and dominate continues to increase as the industry evolves rapidly.

Factors Contributing to the Dog-eat-dog Environment

There are several factors influencing the cutthroat mindset and the dog-eat-dog environment in the tech industry. The factors driving this race range from accessibility of AI systems to Investments and even the absence of control. Here are a few of them:

1. Accessibility of AI Systems

A recent article discussed the disadvantages of disclosing what goes into the development of AI models and systems to the general public. One of the disadvantages mentioned is the cheap accessibility of AI.

The accessibility of AI systems has made it easy for more new players to enter the market and challenge established players. And this ease of entry has led to a rise in competition, with these companies seeking dominance and market cake.

2. Disruptive Innovation

AI is so powerful that it does more than just automating and simplifying tasks. It enables disruptive innovation. This technology can be used to identify new market opportunities, understand customer behavior, and create more innovative solutions that meet the needs of customers.

These disruptive innovations usually challenge the giants in the industry, compelling them to adapt or risk being left behind. The fear of being replaced and displaced by new AI-driven solutions broadens and deepens the competition in the industry.

3. High Investment Costs

A lot of resources go into developing AI models and systems. And at the same time, commercializing AI technology is expensive. Google invested $300 million in Anthropic, an AI startup. Microsoft also invested billions of dollars in OpenAI. Investments like these do nothing but fuel competition in the industry.

With the absence of standards in the industry, companies will keep funding their AI initiatives to scale their operations. And on every investment, there is an expected return, whether in the form of growth or profits. This pressure creates a competitive and dog-eat-dog environment.

4. Speed of Technological Advancements:

AI technology is developing at a rapid pace, and this contributes to the cutthroat mentality in the industry. The algorithms and models are evolving, and every company wants to push boundaries to develop whatever innovative solution they can.

For instance, in 2023, Adobe released a beta version of Photoshop that uses generative AI and has a “generative fill” feature that enables users to manipulate images through text prompts. The pressure to stay at the forefront of AI development drives these companies to outdo themselves fiercely to capture a larger market share.

5. Customer Expectations:

Every AI-driven solutions user out there continues to expect products and services that offer better value for their resources. In the same vein, AI tech companies continue to strive to meet these evolving customer expectations. This amplifies the dog-eat-dog environment as these companies seek to satisfy the demands of customers.

Challenges Faced By AI Companies

While the rise of AI technology has brought about the expansion of the dog-eat-dog environment in the tech industry, it has also presented companies with several challenges that make the competitive landscape complex for them. Here are some of the challenges:

1. Talent Acquisition and Retention

The industry is facing a shortage of skilled tech talent. This has made it challenging for companies to hire and retain the top talent needed to develop and ship their innovative solutions.

Therefore, there is a rise in demand for skilled tech professionals, especially those beneficial to the development of AI technology. This AI talent shortage creates complex competition among companies to secure the best minds as they try to secure their market share.

2. Data Quality and Availability

AI systems heavily rely on data. That is public knowledge. In fact, it is safe to say data is the foundation of AI algorithms and models. However, it is challenging for companies to obtain high-quality and relevant data.

With the advancement of AI technology development, companies face challenges such as data scarcity, data bias, and data privacy concerns. This is putting a strain on the development and performance of AI models, hence, more competition.

3. Ethical Considerations

Ethical considerations surrounding the use of AI technology have become more important than before. AI has its own risks, like promoting biases, invading privacy, or even making wrong decisions. This poses a challenge to industry players as they need to navigate complex ethical considerations to ensure their AI systems are fair, transparent, and accountable.

4. Regulatory Considerations

With the risks and ethical dilemmas of AI technology, regulatory considerations for AI have become a global issue. For instance, Members of the European Parliament recently endorsed new regulations to make AI systems become more transparent and less risky.

Regulations like this have the potential to make AI systems human-centric and, at the same time, make AI tech companies more competitive. This is because regulations will level the playing field and encourage more innovations.

5. Market Volatility

There are several predictions out there about AI being the future of technology. While these predictions have their foundations, the truth remains that the future of artificial intelligence is uncertain. And this uncertainty is the primary reason why the market is volatile.

Technology trends, customer preferences, and market dynamics highly control the activities of the industry. Companies have to face this challenge and, at the same time, face intense competition from other market players. Hence, the pressure to stay innovative, agile, and flexible.

The tech industry players need to address these challenges strategically, as that’s the best way to reduce the pressure of the dog-eat-dog environment. Companies must gather more skilled tech talents and high-quality data while ensuring ethical and regulatory considerations and staying agile in a volatile market.

Bottom Line

The rise of AI technology has indeed led companies to adopt a dog-eat-dog mentality. However, AI advancement should not fuel competition and fight for dominance. Instead, it should fuel collaboration and innovation, as that’s the best way the industry can create a better environment for growth.

It is important to note that not all companies in the tech industry have the cutthroat mindset. There are industry players who play ethically. But the question is, will these responsible players not fall for the games of the dog-eat-dog environment when it becomes the only option for survival? Only time will tell.

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