A.I. May Cut Costs, But It Can Also Spur Growth
Artificial intelligence has generated considerable press for its ability to improve efficiency, perform certain tasks at a speed and level of accuracy beyond human reach, and potentially save businesses on costs through automation. AI certainly offers a chance to save money and increase the bottom line, but what if thinking about AI only in terms of cost cutting paints an incomplete picture? Can AI not only save businesses money, but create value as well?
[[24]7.ai co-founder and CEO PV Kannan and business strategy author Josh Bernoff pose this question in a recent article for Barron’s, arguing that AI is more than a savings tool – its “real value…may well be in generating revenue and growth, not in cutting headcount.”
The value add from AI comes in the form of an improved customer experience, due in part to now-ubiquitous tools like chatbots. One notable success story comes courtesy of TGI Fridays, who offers “an irreverent, brand-appropriate chatbot available through Facebook Messenger and Twitter.” This millennial-geared tool is available for interaction 24/7 and has proven exceptionally valuable to the restaurant chain’s bottom line during business hours – it “has boosted the chain’s takeout orders by $150 million a year.”
But value isn’t solely derived from automation itself – the real driver is “getting rid of friction in customers’ interactions with companies.” Kannan’s company worked in conjunction with Dish Network to create an automated support bot called DiVA, which eventually handled “4 million customer interactions per year…[or] the most common 30% of customer questions.” Its ability to facilitate last-minute pay-per-view orders meant an additional $6 million in event revenue for Dish; it also provided “an infinitely patient and consistent machine that provides definitive answers 24 hours a day, 7 days a week” for Dish customers.
Virtual agents have proven efficiency benefits as well. Their capacity to sort through information within a pre-programmed set of parameters means a way to separate the wheat from the chaff in processes like identifying sales leads. Kannan cites inbound marketing and sales software developer HubSpot’s Facebook Messenger chatbot as one success story: the bot “suggests useful content, pre-qualifies leads, and connects prospects with HubSpot’s salespeople,” leading to a higher quality of sales lead – one that is “40% more likely to engage productively with a salesperson.” Virtual agents can also collect information in advance of an interaction with a human agent – rental car service Avis-Budget “[collects] five key pieces” before passing the customer to a human employee, like pick-up and drop-off times and locations, creating a smoother customer experience.
Businesses are enjoying the value of automation, but it is clear that viewing AI as a simple cost cutting tool is just a piece of the puzzle. Artificial intelligence can build a better customer experience – and companies in the know can reap the financial benefits from not just cuts, but the ensuing growth.
The Investment and Financial Industry Faces the Same A.I.-Driven Revolution
Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generate trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.
Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:
- Finding stock patterns in the market
- Finding trends in the stock market
- Testing portfolios to see if they are well-diversified
- Back-testing statistics to see how different stock patterns generated trading results
- Making Predictions for price movements in the future, with “A.I. Rank” and level of confidence in the trade.
And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.
SPY in downward trend: price dove below 50-day moving average on February 27, 2026
SPY moved below its 50-day moving average on February 27, 2026 date and that indicates a change from an upward trend to a downward trend. In of 36 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are .
Technical Analysis (Indicators)
Bearish Trend Analysis
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 71 cases where SPY's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
The Momentum Indicator moved below the 0 level on March 03, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPY as a result. In of 71 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for SPY turned negative on March 02, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 54 similar instances when the indicator turned negative. In of the 54 cases the stock turned lower in the days that followed. This puts the odds of success at .
The 10-day moving average for SPY crossed bearishly below the 50-day moving average on February 23, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SPY declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
Bullish Trend Analysis
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SPY advanced for three days, in of 367 cases, the price rose further within the following month. The odds of a continued upward trend are .
SPY may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
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