Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Feb 21, 2021
How to Tell the Difference Between Real and Fake A.I.

How to Tell the Difference Between Real and Fake A.I.

Artificial intelligence is here to stay. But as governments, companies, and people adapt to the reality of a world with AI, a revolutionary concept has been co-opted into a buzzword. AI as a sales tool has led to false claims and misinformation, making it difficult to parse facts about legitimate AI from the hype.

Here are some tips to help you tell the difference between real AI and fake AI.

AI is predicated on autonomy. It uses neural networks, machine learning, and other tools to create and run production models that not only simulate and predict outcomes, but act based on those predictions. Some analytics companies bill their services as AI-driven, but if a human is required to act on a recommendation made by AI, then it’s not real, independent AI. Useful AI removes the need for human intervention. Predictive technology alone is just that – predictive technology.

It is important to evaluate how much human input is required for an AI-driven platform. Human setup can (and should) be a part of each service – after all, someone needs to set the parameters that dictate AI’s behavior. But any platform requiring daily human operation or maintenance is not true AI. Services that necessitate lengthy training and consulting processes are not selling a truly automated experience.

Most companies offering legitimate AI products will contractually guarantee increased performance. Real AI operates at a level of efficiency that humans are not capable of, regardless of the task it is performing. Be wary of companies that cannot guarantee superior results relative to people or other products on the market. Insights alone are not a measure of useful AI – a service that does the work for you while also providing new levels of understanding is a legitimate AI product.

It is also vital to consider the transparency of the product in question. True AI tools will offer a window into the millions of tasks it performs – if actions are obscured or visible only to the company providing the service, chances are it is not useful AI. Paying for a service that could be a person and a tool performing the tasks that are billed as artificial intelligence defeats AI’s very purpose.

 

 

As more and more AI products and services hit the market, it will become increasingly important to identify real-deal offerings in a sea of pretenders. Real AI may be sculpted by humans, but it should perform at a level of efficiency – without any human input – that no human can approach.
 

Adding A.I. as a Tool in Your Investment Toolbox

One of the only certainties of investing in stocks, bonds, forex, cryptocurrency, or any other type of security is that there is no certainty when it comes to future price movements. Making an investment decision about a trade or a strategy can involve all the data and research in the world, but there still remains an element of chance, and ultimately, luck.

But that does not mean it’s a waste of time to perform diligent research and homework, and to use all of the tools at your disposal in an effort to make informed, smart decisions. More data generally leads to greater conviction, which can also also lead to a higher probability of success.

That’s where Artificial Intelligence comes in. It is a very new tool that until now has not been available on a broad basis to retail investors. The A.I. mentioned in this article can be found on Tickeron.com, and it offers investors a free trial. Tickeron’s idea is to provide retail investors with technology and tools to enable trading with massive amounts of data and analysis. The end result is arming retail investors with a high-powered, virtual research assistant: Tickeron’s Artificial Intelligence. Readers can check out the free trial here: Pattern Search Engine.

Interact to see
Advertisement
SoundThinking, Inc. (SSTI), a developer of precision-policing and security technologies, has faced a difficult trading environment in recent weeks. With shares trading in the single digits, the stock reflects broader investor hesitation toward small-cap tech amid ongoing economic uncertainty. The company’s market capitalization stands near $100 million, and its valuation metrics suggest skepticism around its growth outlook.
Lionheart Holdings (CUB) has traded quietly in recent sessions, reflecting the typical behavior of a SPAC still in its pre-merger search phase. Shares have hovered close to the company’s IPO price, supported by low volatility and thin trading volumes. This pattern mirrors broader trends across the SPAC market, where investor engagement often remains subdued until a definitive acquisition agreement is announced.
Astronics Corporation has delivered solid share price performance in recent sessions, benefiting from renewed enthusiasm for aerospace and defense equities. The stock has demonstrated resilience despite broader market volatility, drawing consistent investor interest due to its exposure to mission-critical avionics, power systems, and test equipment.
Recent analyst upgrades from Piper Sandler and Morgan Stanley underscore improving valuation and renewed confidence in Motorola Solutions’ growth outlook. Third-quarter 2025 results exceeded expectations, with revenue increasing 7.8% year over year, driven by land mobile radio (LMR) and video security demand.
General Dynamics shares have remained resilient in recent sessions, continuing an upward trend despite broader market volatility. Heightened attention on global defense spending has reinforced confidence in the company’s extensive backlog and well-balanced exposure across aerospace, marine systems, combat platforms, and mission-critical technologies.
Innovative Aerosystems (ISSC) has emerged as a standout performer within the aerospace and avionics space, with its stock reflecting optimism around rising demand for advanced cockpit and navigation systems. Recent trading has seen shares hold near the upper end of their range, supported by strong fundamentals and a diversified customer base spanning business aviation, commercial airlines, and military platforms.
Hexcel Corporation (HXL), a leading supplier of advanced composite materials used across aerospace, defense, and industrial markets, has maintained steady momentum amid a shifting industry backdrop. Recent share performance reflects investor optimism around a gradual recovery in commercial aviation, balanced against concerns about production timing and cost pressures.
AAR Corp. shares have shown notable strength in recent trading, benefiting from favorable conditions in the aerospace and defense sector as global air travel continues to recover. The stock has trended higher on the back of strong fundamentals in parts distribution, maintenance, and engineering services.
TAT Technologies (TATT), a provider of aerospace and defense systems with a focus on heat transfer solutions and MRO services, has demonstrated notable strength in recent trading. Shares have climbed sharply over the past month, reflecting growing investor confidence in the company’s operational improvements and exposure to aerospace recovery trends.
The Utilities Select Sector SPDR Fund (XLU) has shown unusual volatility early in 2026. After a strong 22% gain through November 2025, fueled by AI-driven electricity demand and falling interest rates, XLU dipped to around $43 by January 7 amid broader equity pullbacks and insider selling at holdings like UGI Corporation. While utilities are typically stable, this behavior signals potential opportunities as data center electricity demand is projected to double by 2030, positioning utilities as key beneficiaries of the AI boom.
TSM’s upcoming earnings carry outsized importance for the semiconductor industry. As the world’s leading contract chip manufacturer, TSMC underpins AI innovation for customers such as Nvidia and Apple. Its results often serve as a bellwether for global chip demand, capacity constraints, and pricing trends.
Goldman Sachs (GS) is expected to report Q4 2025 EPS of $11.65 on revenue of $13.85 billion, reflecting steady results as investment banking activity continues to recover.
Citigroup (C) is expected to report Q4 2025 EPS of $1.58, representing a 17.9% year-over-year increase, with revenue projected at $20.95 billion, up 7%. Bank of America (BAC) consensus estimates call for Q4 EPS of $0.96, up from $0.82, on revenue of $27.74 billion, reflecting 9.45% growth. JPMorgan Chase (JPM) is forecast to deliver Q4 EPS of $4.86, a modest 0.95% increase, with revenue expected to rise 8.13% to $46.25 billion.
Wells Fargo (WFC) is expected to report Q4 2025 earnings on January 14, 2026, with consensus calling for EPS of $1.66, up 16.9% year over year, and revenue of approximately $21.66 billion, a 6.3% increase. Investor focus will center on net interest income stabilization, growth in fee-based businesses such as investment banking and mortgages, and credit provisioning in a lower-rate environment.
Wall Street expects Infosys Q3 FY2026 EPS of $0.20, based on estimates from eight analysts, with revenue forecast at ₹452.37 billion (approximately $5.45 billion), compiled from 33 analysts.
BitMine Immersion Technologies (BMNR) is set to report Q1 FY2026 earnings on January 16, 2026, with consensus estimates calling for EPS of $0.15 and revenue of approximately $79.3 million.
Bank of America (BAC) and Wells Fargo (WFC) will both report Q4 2025 earnings on January 14, 2026, creating a rare same-day, apples-to-apples comparison.
Citigroup (C) is set to report Q4 2025 earnings on January 14, 2026, making it the immediate catalyst in this comparison. HSBC Holdings (HSBC) will release its Full-Year 2025 results on February 25, 2026, positioning it as a medium-term earnings event.
Wells Fargo’s quarterly results carry broader significance because the bank serves as a key indicator of U.S. consumer and commercial banking conditions. Its earnings often influence sentiment toward the entire large-cap banking sector. After a stretch of improved market conditions and stronger capital markets activity, investors are looking for confirmation that profit momentum is sustainable rather than driven by a single favorable quarter.
Infosys (INFY) will report Q3 FY2026 results on January 14, 2026, making it the immediate catalyst in this comparison. Accenture (ACN) last reported Q1 FY2026 earnings on December 18, 2025, with its next update scheduled later in the fiscal quarter.