LQAI1.620%
as of Jul 17
T
GrowthAT&T INC
AT&T Inc. provides telecommunications and technology services worldwide. It operates through two segments, Communications and Latin America. The Communications segment offers wireless voice and data communications services; and sells handsets, wireless data cards, wireless computing devices, carrying cases/protective covers, and wireless chargers through its own company-owned stores, agents, and third-party retail stores.
Close · 3M
-20.27%
Held by 4 AI ETFs
Signal performance
Each tracked ETF's moves on this stock, grouped by fund. Returns are measured from the signal date to the latest close — hypothetical, no commissions or slippage.
Buy signals7
Win rate43% (3/7)
Avg buy return-0.82%
LQAI · Weight increase · 3d
AT&T’s current trading price of $21.81, resting near its 52-week low of $20.48 after significant 30 and 90-day declines, sets the context for LQAI’s recent positioning. This price weakness, placing the stock at 74% of its 52-week high, appears to have prompted Qraft’s AI ranking engine to increase exposure, leveraging its large-cap core selection without heavy factor tilts. Despite the negative short-term price trajectory, the AI likely weighed AT&T’s low PER of 7.07 and PBR of 1.59, coupled with a 19.65% ROE, as indicating underlying value for a company in its ~100-stock portfolio. The consecutive weight increases from 1.51% to 1.62% between July 13th and 17th suggest the AI identifies AT&T as a fundamentally sound large-cap trading at an opportunistic discount, suitable for its weekly rebalancing strategy.
weight 1.530% → 1.620% (+0.090 pp)·stock down 5.8% in the 30 days before
Jul 17·entry $21.81·now $21.95Fresh
+0.64%
since Jul 17
LQAI · Weight increase · 2d
LQAI's Qraft AI ranking system, tasked with selecting ~100 US large-cap core holdings via weekly rebalances, has systematically increased its exposure to AT&T. This upward trend in weight, observed over the recent period culminating in the 1.61% allocation on July 16th, suggests the AI recognizes a shifting risk-reward profile for the Communication Services company. Given AT&T's current trading price near its 52-week low, alongside its valuation metrics such as a PER of 7.07, the Qraft engine likely views this as an appealing opportunity within its core large-cap universe, without exhibiting a strong momentum bias. The AI's ability to identify such a stock, despite its negative 90-day return of -21.3%, highlights its nuanced selection method that balances value considerations with underlying business strength, rather than strictly chasing recent performance.
weight 1.530% → 1.610% (+0.080 pp)·stock down 5.6% in the 30 days before
Jul 16·entry $21.98·now $21.95Fresh
-0.14%
since Jul 16
LQAI · Weight increase · 2d
The LG-Qraft collaboration's AI engine, which guides LQAI's approximately 100 US large-cap holdings with weekly rebalances, initiated a consecutive weight increase in AT&T. Operating with an AI-driven selection method rather than heavy factor tilts, the system likely responded to AT&T’s recent price compression, which saw a 30-day return of -15.6%, bringing it near its 52-week low. At a price of $21.12, coupled with a low PER of 6.79, the Qraft AI's ranking algorithm appears to have recognized a compelling opportunity for this core large-cap fund. This sustained positive adjustment in T’s weight, culminating in 1.54% on July 8th, suggests the AI’s model consistently favored the stock's current valuation.
weight 0.980% → 1.540% (+0.560 pp)·stock down 7.2% in the 30 days before
Jul 8·entry $21.12·now $21.95Drifting
+3.93%
since Jul 8
LQAI · Sudden change · 1d
The weighting for AT&T within LQAI first saw a gradual decline from 1.05% to 0.98% between June 25th and July 6th, followed by a sharp, nearly 56% increase to 1.53% on July 7th. This sudden reversal in allocation coincides with AT&T’s recent price weakness, trading at $21.09, close to its 52-week low of $20.48 after experiencing a 16.5% drop over the prior 30 days. As an AI-driven, weekly rebalancing US large-cap core fund without a heavy factor tilt, LQAI’s Qraft engine likely identified a buying opportunity. The system may have interpreted the stock’s low P/E ratio of 6.79 and a 19.65% ROE as indicating value, despite the recent negative price momentum, prompting the significant upward adjustment.
weight 0.980% → 1.530% (+0.550 pp)·stock down 7.4% in the 30 days before
Jul 7·entry $21.09·now $21.95
+4.08%
since Jul 7
LQAI · Weight increase · 2d
LQAI, an AI-driven ETF managed via the Qraft engine, applies its proprietary ranking system to a universe of approximately 100 US large caps and rebalances its portfolio weekly. The observed consecutive weight increase in AT&T from June 30th to July 2nd, rising from 0.95% to 0.99%, reflects a direct output of this systematic AI selection method. With AT&T's current price of $20.58 sitting just above its 52-week low of $20.48, coupled with a notably low PER of 6.79, the Qraft AI likely identified the stock as presenting a compelling value proposition within its core large-cap universe. This upward adjustment suggests the AI's model is finding the stock increasingly attractive at these depressed levels, prompting a higher ranking in its weekly review.
weight 0.950% → 0.990% (+0.040 pp)·stock down 16.5% in the 30 days before
Jul 2·entry $20.58·now $21.95Drifting
+6.66%
since Jul 2
LQAI · Weight decrease · 2d
AT&T’s current price of $20.70 aligns with its 52-week low, representing a 30-day return of -15.3% and sitting at 70% of its 52-week high. Amidst this significant downward price trajectory, Qraft’s AI, which manages LQAI’s weekly rebalances for its large-cap core universe, registered consecutive decreases in AT&T’s weight from 1.07% to 0.95% over a few days. Despite a 19.65% ROE and a 7.34 PER, the AI's ranking system, designed for core large-cap selection, likely adjusted its position as AT&T’s revenue growth of 2.92% combined with the stock’s recent -26.0% 90-day return signaled a shift away from desired characteristics. The fund’s method, positioned midway between broad and concentrated momentum strategies, indicates the AI's preference to reduce exposure to a stock exhibiting such pronounced and sustained price depreciation, even with its underlying financial figures.
weight 1.070% → 0.950% (-0.120 pp)·stock down 16.5% in the 30 days before
Jun 30·entry $20.70·now $21.95
+6.04%
since Jun 30
LQAI · Weight decrease · 2d
LQAI's Qraft AI ranking engine, which manages a portfolio of approximately 100 US large-cap stocks with weekly rebalances, adjusted its position in AT&T following a re-evaluation within its core universe. The recent consecutive weight decrease in T, from 1.09% to 1.05% across June 23rd to 25th, reflects the fund's AI-driven name selection reacting dynamically to market conditions. This movement suggests the Qraft system is de-emphasizing AT&T, potentially in response to its sustained negative price momentum, indicated by a -18.5% 90-day return. Despite T's 19.65% ROE, the AI model likely identified more compelling opportunities or increased risk factors among other large-cap candidates within its selection criteria, prompting this specific allocation change.
weight 1.090% → 1.050% (-0.040 pp)·stock down 10.4% in the 30 days before
Jun 25·entry $22.42·now $21.95
-2.10%
since Jun 25
LQAI · Weight decrease · 2d
LQAI exhibited a consistent downward adjustment in its AT&T holdings, reducing weight from 1.09% to 1.07% then to 1.02% over three consecutive trading days, precisely as AT&T reached its 52-week low of $22.01. This gradual, yet steady, reduction in exposure reflects the Qraft AI engine's response to the stock's significant underperformance, with the communication services giant posting a 90-day return of -19.7% and a 1-year return of -21.6%. Given LQAI's strategy as an AI-driven, large-cap core fund positioned between broad and momentum styles, its weekly rebalancing mechanism enables the system to continuously de-emphasize T, despite the company's 19.65% ROE and low PER, as the AI prioritizes other signals over these fundamental metrics in the face of sustained price deterioration.
weight 1.090% → 1.020% (-0.070 pp)·stock down 11.9% in the 30 days before
Jun 18·entry $22.01·now $21.95
-0.27%
since Jun 18
LQAI · Weight decrease · 2d
The Qraft AI model driving LQAI initiated a sequence of modest weight decreases for AT&T, starting from 1.76% and culminating in a substantial reduction to 1.11% on June 9th. This pattern of shedding exposure coincides directly with AT&T’s persistent price depreciation, showing 30-day and 90-day returns of -12.9% and -13.4% respectively, placing the stock near its 52-week low of $22.50. Despite AT&T's low P/E of 7.83 and a 19.65% ROE, the AI-driven selection engine, balancing between broad market and concentrated momentum styles, appears to be prioritizing factors beyond traditional value in light of the negative price trend. This specific move by LQAI reflects its AI’s assessment that the communication services stock's declining momentum outweighs its financial characteristics within the US large-cap core universe.
weight 1.710% → 1.110% (-0.600 pp)·stock down 9.7% in the 30 days before
Jun 9·entry $22.71·now $21.95
-3.35%
since Jun 9
LQAI · Weight decrease · 2d
weight 1.750% → 1.630% (-0.120 pp)·stock down 12.1% in the 30 days before
Jun 4·entry $22.77·now $21.95
-3.60%
since Jun 4
LQAI · Weight decrease · 6d
Currently trading at $24.55, AT&T stock sits at 83% of its 52-week high of $29.62, having experienced a -6.2% return over the past 30 days despite a longer 90-day gain of +4.1%. This recent downturn in T shares likely prompted a re-evaluation by the Qraft AI engine, which governs the LG-Qraft collaboration ETF, leading to a consistent weight reduction from 1.87% on May 22nd to 1.74% by June 1st. The AI-driven selection process, applied to a US large-cap core universe, appears to have registered concerns about the company's trajectory, even with a P/E of 7.94, PBR of 1.59, and ROE of 19.65%. Given LQAI's style, which is AI-driven without heavy factor tilt, T's 2.92% revenue growth might not align with the AI's models for sustained forward potential, prompting the consecutive decreases in allocation during its weekly rebalancing cycles.
weight 1.890% → 1.740% (-0.150 pp)·stock down 6.0% in the 30 days before
Jun 1·entry $24.55·now $21.95
-10.59%
since Jun 1
LQAI · Weight decrease · 5d
LQAI's gradual, nearly daily reduction in AT&T's weight from 1.92% to 1.76% over eight trading days in late May 2026 reflects a persistent, subtle adjustment by the Qraft engine. This continuous trimming occurred as T's price, at $24.80, sat at 84% of its 52-week high, having experienced a -6.5% return in the prior 30 days, despite a 90-day gain and a current valuation of 8.01 times earnings. As an AI-driven, large-cap core fund rebalancing weekly, LQAI’s selection process appears to be detecting ongoing, modest deterioration in T's quantitative signals or relative attractiveness within its universe. This measured de-emphasis, rather than an abrupt cut, is consistent with a strategy positioned midway between a broad market approach and a concentrated momentum tilt, indicating the AI identifies a nuanced shift in company prospects without a strong sell signal.
weight 1.890% → 1.760% (-0.130 pp)·stock down 3.7% in the 30 days before
May 29·entry $24.80·now $21.95
-11.49%
since May 29
-11.78%
since May 28
-11.81%
since May 27
-12.27%
since May 26
-12.13%
since May 19
-8.66%
since May 15
-10.95%
since May 14
-13.00%
since May 12
-11.74%
since May 11
BUZZ · New entry · 1d
weight 0 → 0.270% (new)·stock down 5.6% in the 30 days before
Jul 16·entry $21.98·now $21.95Fresh
-0.14%
since Jul 16
AIEQ · Weight decrease · 2d
The fund's holding in AT&T displayed a stepped reduction, moving from 0.43% to 0.41%, and then significantly down to 0.10% over the final two recorded days. This accelerated divestment aligns with the communication services company’s stock reaching its 52-week low of $20.48, following returns of -18.0% over 30 days and -28.2% over 90 days. AIEQ’s IBM Watson NLP model, which ingests vast amounts of news, analyst notes, and social posts, would have likely identified a strong and deteriorating sentiment signal given this sustained price depreciation. Despite AT&T’s current PER of 6.79 and a PBR of 1.59, the fund's daily rebalancing and high-turnover mandate enabled it to swiftly reduce exposure in response to the strong negative sentiment captured by its hybrid fundamentals and sentiment approach.
weight 0.430% → 0.100% (-0.330 pp)·stock down 16.6% in the 30 days before
Jul 1·entry $20.48·now $21.95
+7.18%
since Jul 1
AIEQ · Weight decrease · 2d
AT&T’s PER of 7.14 and PBR of 1.59 present a value-oriented fundamental profile, yet this is paired with a modest revenue growth of 2.92%, which AIEQ's fundamentals + sentiment hybrid style considers. Despite a 19.65% ROE, the stock’s significant price depreciation, including a -12.9% 30-day return and trading at the bottom of its 52-week range at $22.01, signals a deteriorating sentiment that the IBM Watson NLP engine would detect. Ingesting news, analyst notes, and social posts, the AI-manager likely identified a sustained negative outlook for AT&T, overriding its low valuation metrics. This consistent negative sentiment, driving the stock to its 52-week low, prompted AIEQ's daily rebalancing mechanism to consecutively decrease its position from 0.42% to 0.41% in the observed period.
weight 0.430% → 0.410% (-0.020 pp)·stock down 11.9% in the 30 days before
Jun 21·entry $22.10·now $21.95
-0.68%
since Jun 21
AIEQ · Weight increase · 2d
T's weight in AIEQ demonstrated a gradual daily increase from 0.4200% to 0.4400% between June 9 and June 11, following prior minor fluctuations, while the stock traded near its 52-week low of $22.50. This pattern suggests the IBM Watson NLP engine, processing thousands of inputs daily for EquBot, detected an accumulating positive sentiment or fundamental signal for T, perhaps recognizing value after a 30-day return of -12.0%. T's current valuation, with a PER of 7.55 and PBR of 1.59, paired with a return on equity of 19.65%, could be perceived favorably by the system when combined with emerging positive textual data. AIEQ's daily rebalancing capability, central to its high-turnover strategy, allows for these incremental adjustments to capitalize on such a developing "fundamentals + sentiment hybrid" signal for a stock trading 78% below its 52-week high.
weight 0.420% → 0.440% (+0.020 pp)·stock down 8.8% in the 30 days before
Jun 11·entry $23.00·now $21.95Fresh
-4.57%
since Jun 11
AIEQ · Weight decrease · 2d
weight 0.450% → 0.420% (-0.030 pp)·stock down 11.0% in the 30 days before
Jun 5·entry $22.75·now $21.95
-3.52%
since Jun 5
AIEQ · Weight decrease · 3d
AIEQ, a fund known for its broad market, fundamentals, and sentiment hybrid approach, initially held AT&T (T) given its PER of 8.04, PBR of 1.59, and a 19.65% ROE, reflecting value characteristics despite a modest 2.92% revenue growth. However, the consecutive weight decreases observed starting May 27th, 2026, suggest IBM Watson’s NLP engine likely detected a negative shift in its daily sentiment or fundamental assessment. This pattern coincided with AT&T’s 30-day return moving to -6.5%, indicating a period of downward price pressure where the stock reached $24.80, roughly 84% of its 52-week high, a level where EquBot's risk overlay would act on a lowered ranking. Given AIEQ's daily rebalancing and its high-turnover nature, the rapid reduction from 0.5100% to 0.4500% by May 30th clearly reflects the AI's swift response to emerging negative signals within the Communication Services sector.
weight 0.510% → 0.450% (-0.060 pp)·stock down 3.7% in the 30 days before
May 30·entry $24.55·now $21.95
-10.59%
since May 30
-11.78%
since May 28
-12.76%
since May 8
Sell signals show what the stock did after the AI exited. A negative number means the AI's exit was well-timed.
Buffett-style framework
Fails the frameworkas of Jun 21
The recent AI ETF activity shows a general trend of decreasing weights or volatile adjustments, including a significant reduction by LQAI, which aligns with the framework's "Fail" verdict due to financial health concerns. This suggests the AI models may also be identifying risks or a lack of compelling value that prevent long-term accumulation.
- Circle of CompetenceThe underlying business of providing telecommunication services features stable, recurring revenue streams, allowing for reasonable projection of ten-year cash flows.
- Economic MoatAT&T benefits from an extensive network infrastructure, high customer switching costs, significant scale advantages, and regulatory barriers to entry, which collectively form a durable economic moat.
- ManagementThe provided financial data and activity logs do not offer sufficient information to assess management's candor, capital allocation discipline, or ownership incentives.
- Financial HealthAn exceptionally high EV/EBITDA of 16.1 suggests a significant debt burden relative to operational earnings, which violates the manageable debt criterion for a capital-intensive business.
- Margin of SafetyWithout a more comprehensive financial model to project future cash flows, a conservative estimate of intrinsic value and a defensible margin of safety cannot be determined from the provided metrics.
AT&T operates within a clearly understandable industry with durable competitive advantages, meeting the criteria for circle of competence and economic moat. However, a significant concern arises from its financial health, specifically the elevated EV/EBITDA ratio indicating potential issues with manageable debt, leading to a "Fail" verdict. While management and intrinsic value could not be fully assessed, the financial red flag alone indicates this company does not align with the strict financial discipline of a Buffett-style investment.
Educational interpretation generated by AI applying frameworks Warren Buffett documented in his shareholder letters and other public writings. Not a statement by Mr. Buffett or Berkshire Hathaway, and not investment advice.