AI Insights
1 Absurdly Cheap Artificial Intelligence Stock to Buy Right Now

Alphabet recently posted some solid earnings numbers, and artificial intelligence isn’t hurting its business, as some investors feared it might.
Think you’ve missed the boat on artificial intelligence (AI) stocks? There are still many good options out there. A lot of the hype has centered around popular stocks such as Nvidia and Palantir Technologies. But there are some compelling contrarian AI picks that investors have been discounting and overlooking.
One stock that looks especially appealing right now is Alphabet (GOOG -2.31%) (GOOGL -2.32%). It’s a big name in AI, but many investors and analysts have been fearing that AI will actually hurt its business. The reality, however, is that Alphabet may end up being a big winner due to AI. And what’s even better: The tech stock looks incredibly cheap.
Image source: Getty Images.
AI isn’t destroying Alphabet’s business; it may even help
A big concern many investors have about AI with respect to Alphabet is that users won’t need to rely on Google Search anymore, which is at the core to the company’s business. But it has adapted and incorporates the technology into its searches.
If you do a search on Google, there is now an AI overview that can give you answers similar to what you might get from a chatbot. It summarizes the results and even provides links to support its findings.
Alphabet does, after all, have its own chatbot, Gemini. A big advantage that it has over competing chatbots is a wealth of data from Google Search and YouTube to tap into. Plus, by integrating with Alphabet’s varied services, including Gmail, Gemini can create a more seamless experience for users.
The company’s revenue from Google advertising in the most recent quarter, which ended on June 30, totaled $71.3 billion, up 10% from the same period last year. And Alphabet’s total revenue for the period rose by 14% to $96.4 billion.
AI is constantly changing and evolving, but investors shouldn’t forget it has now been well over two years since ChatGPT emerged on the scene, and Alphabet’s business is still doing just fine, with the technology actually enhancing its existing suite of products and services.
A breakup of the business could actually be great for investors
Another big risk that spooked investors is a possible breakup of the company. It has lost multiple antitrust cases, one involving its ad business and another involving search.
A breakup is a possibility, and if it does happen, some analysts believe that it could be a big win for investors. The value of Alphabet’s businesses individually could add up to more than what the combined entity is worth today.
With cloud computing, search, video sharing, an AI chatbot, and robotaxi services, there are some terrific businesses within Alphabet’s realm, and the stock trades at a fairly modest 21 times earnings, which is below even the S&P 500 average multiple of 25. Not only is it not trading at a premium, but it also looks to be valued at a discount.
The benefit for investors who buy today is that if a breakup doesn’t incur, that uncertainty goes away and it may trigger a rally in the stock. And if it does happen, then you can end up owning a piece of all the businesses, which may add up to more than the stock’s $2.3 trillion market cap today. And you can either continue to remain invested in all of them or sell off the pieces you don’t want. Either way, it looks like a win-win, given how undervalued the stock is.
Alphabet is a no-brainer buy while it remains this cheap
Alphabet is a terrific stock to buy today. With so many great assets and businesses, it looks poised for much more growth. Buying it today, at just 21 times earnings, could prove to be a steal of a deal for long-term investors.
David Jagielski has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Nvidia, and Palantir Technologies. The Motley Fool has a disclosure policy.
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AI a 'Game Changer' for Assistance, Q&As in NJ Classrooms – GovTech
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Analysis on expected use of artificial intelligence by businesses in Canada, third quarter of 2025

As artificial intelligence (AI) continues to expand its role in business operations across Canada, questions about its future use and influence have gained attention. What was once considered an emerging technology limited to select sectors is now being increasingly integrated into a range of industries. According to data from the Canadian Survey on Business Conditions, in the second quarter of 2025, 12.2%Note of businesses reported using AI to produce goods or deliver services over the last 12 months, up from 6.1%Note in the same period a year earlier.
This article presents data on how businesses in Canada expect to use AI over the next 12 months for producing goods and delivering services. While both the second quarters of 2024 and 2025 focused on AI use over that previous year, the current release revisits forward looking questions, first introduced in the third quarter of 2024. It explores the types of AI applications businesses intend to adopt, anticipated impacts on employment and operations, and reasons businesses provided for not planning to use AI.
The Canadian Survey on Business Conditions was conducted between July 2 and August 6, 2025, to collect information on the environment businesses are currently operating in and their expectations moving forward, including expectations for AI use in the year ahead.Note The proportion of businesses planning to adopt AI over the next 12 months has grown since last year’s third quarter, with 14.5% of businesses now reporting plans to use the technology, up from the 10.6%Note in the third quarter of 2024. This reflects a gradual increase for interest in AI’s long-term potential to reshape operations.
Most businesses still do not plan to use artificial intelligence in the next 12 months
While growth has been observed, adoption of AI among businesses in Canada remains limited. In the third quarter of 2025, 14.5% of businesses reported plans to use AI over the next 12 months, while two-thirds (66.7%) of businesses reported no plans and 18.9% were uncertain. These findings are consistent with results from the third quarter of 2024, where 71.8% of businesses reported no plans to implement AI in their operations.
Among businesses not planning to adopt AI over the next 12 months, 78.1% reported that AI was not relevant to the goods or services they currently provide. Other reported reasons included a lack of knowledge about AI capabilities (11.3%), concerns about privacy and security (8.1%), and the view that AI is not yet a mature enough technology (7.6%). These findings are similar to those from the third quarter of 2024, when 74.2% of businesses reported lack of relevance as the main reason, followed by a lack of knowledge on AI capabilities (9.3%).
Third quarter of 2025 | Third quarter of 2024 | |
---|---|---|
percent of businesses | ||
Notes: The results in this table are based on the survey that was in collection from July 2 to August 6 2025 and from July 2 to August 6, 2024, and respondents were asked what their expectations would be over the next 12-month period. As a result, those 12 months could range from July 2 to August 6 2025 and from July 2 to August 6, 2024, depending on when the business responded. Source: Canadian Survey on Business Conditions, third quarter of 2025 (Table 33-10-1046-01) and third quarter of 2024 (Table 33-10-0879-01). |
||
Lack of knowledge on the capabilities of AI | 11.3 | 9.3 |
Concerns about privacy or security | 8.1 | 6.8 |
AI is not a mature enough technology yet | 7.6 | 8.8 |
Too expensive | 4.7 | 6.1 |
Lack of skilled workforce | 4.6 | 2.3 |
Concerns about bias | 3.2 | 1.7 |
Lack of required data | 3.0 | 1.6 |
Laws and regulations prevent or restrict use of AI | 2.2 | 1.4 |
Previous or current use of AI did not meet expectations | 1.5 | 1.0 |
Other reason | 1.7 | 3.8 |
AI is not relevant to the goods produced or services delivered | 78.1 | 74.2 |
Businesses in information and cultural industries continue to lead in expected artificial intelligence adoption
Of the businesses planning to use AI over the next year (14.5%), those in information and cultural industries were most likely to report this, at 38.6%. This was followed by businesses in finance and insurance (31.5%), and professional, scientific and technical services (26.3%). These findings are similar with results from the third quarter of 2024, when businesses in information and culture industries (29.7%) were also the most likely to report plans to use AI in that coming year.
These forward-looking expectations by industry align with past reported AI use. In the second quarter of 2025, 35.6% of businesses in information and cultural industries reported having used AI in the previous year, followed by 31.7% in professional, scientific and technical services and 30.6% in finance and insurance. Businesses in these industries also reported the highest usage rates in the second quarter of 2024, at 20.9% for information and cultural industries, 13.7% for professional, scientific and technical services and 10.9% for finance and insurance.
Between the third quarter of 2024 and the third quarter of 2025, expected AI usage varied by industry. Businesses in finance and insurance had the largest increase in expected AI usage, growing from 17.9% to 31.5% between the third quarter of 2024 and third quarter of 2025. The proportion of businesses in health care and social assistance expecting to use AI also grew from 11.4% to 23.2% over the same period. In contrast, manufacturing experienced the largest decline, falling from 13.1% in third quarter of 2024 to 7.2% in third quarter of 2025.
Third quarter of 2025 | Third quarter of 2024 | |
---|---|---|
percent of businesses | ||
Notes: The results in this table are based on the survey that was in collection from July 2 to August 6 2025 and from July 2 to August 6, 2024, and respondents were asked what their expectations would be over the next 12-month period. As a result, those 12 months could range from July 2 to August 6 2025 and from July 2 to August 6, 2024, depending on when the business responded. Source: Canadian Survey on Business Conditions, third quarter of 2025 (Table 33-10-1045-01) and third quarter of 2024 (Table 33-10-0878-01). |
||
All businesses | 14.5 | 10.6 |
Agriculture, forestry, fishing and hunting | 4.9 | 4.8 |
Mining, quarrying, and oil and gas extraction | 3.4 | 4.6 |
Construction | 9.2 | 3.2 |
Manufacturing | 7.2 | 13.1 |
Wholesale trade | 7.8 | 12.2 |
Retail trade | 5.7 | 5.1 |
Transportation and warehousing | 6.6 | 4.2 |
Information and cultural industries | 38.6 | 29.7 |
Finance and insurance | 31.5 | 17.9 |
Real estate and rental and leasing | 24.4 | 13.0 |
Professional, scientific and technical services | 26.3 | 24.6 |
Administrative and support, waste management and remediation services | 11.6 | 12.7 |
Health care and social assistance | 23.2 | 11.4 |
Arts, entertainment and recreation | 15.2 | 18.5 |
Accommodation and food services | 14.8 | 6.0 |
Other services (except public administration) | 8.7 | 6.5 |
Virtual agents or chatbots most expected artificial intelligence application
Of the businesses planning to use AI over the next 12 months (14.5%), the most common applications reported were virtual agents or chatbots (34.8%) and data analytics (32.9%). The proportion of businesses planning to use virtual agents or chatbots increased from 18.7% in the third quarter of 2024, to 34.8% in 2025, indicating an increase in customer facing applications. Other reported applications included text analytics (28.5%), marketing automation (25.6%) and natural language processing (20.9%).
Third quarter of 2025 | Third quarter of 2024 | |
---|---|---|
percent of businesses | ||
Notes: The results in this table are based on the survey that was in collection from July 2 to August 6 2025 and from July 2 to August 6, 2024, and respondents were asked what their expectations would be over the next 12-month period. As a result, those 12 months could range from July 2 to August 6 2025 and from July 2 to August 6, 2024, depending on when the business responded. Source: Canadian Survey on Business Conditions, third quarter of 2025 (Table 33-10-1045-01) and third quarter of 2024 (Table 33-10-0878-01). |
||
AI use planned in producing goods or delivering services | 14.5 | 10.6 |
Virtual agents or chatbots | 34.8 | 18.7 |
Data analytics using AI | 32.9 | 26.7 |
Text analytics using AI | 28.5 | 27.2 |
Marketing automation using AI | 25.6 | 19.4 |
Natural language processing | 20.9 | 15.4 |
Speech or voice recognition using AI | 20.2 | 11.9 |
Large language models | 19.9 | 9.3 |
Machine learning | 18.4 | 18.8 |
Recommendation systems using AI | 14.0 | 11.7 |
Decision making systems based on AI | 13.1 | 6.3 |
Deep learning | 8.9 | 5.3 |
Image or pattern recognition | 7.6 | 7.5 |
Machine or computer vision | 3.2 | 3.2 |
Robotics process automation | 3.2 | 6.2 |
Neural networks | 2.2 | 2.6 |
Augmented reality | 2.0 | 1.3 |
Biometrics | 1.6 | 1.9 |
Other | 7.3 | 6.2 |
Among businesses in information and cultural industries who plan to use AI over the next year (38.6%), the most common intended uses are virtual agents or chatbots (51.2%), followed by text analytics (49.9%) and large language models (48.1%). Meanwhile, among businesses in finance and insurance planning to use AI (31.5%), the most common expected use is data analytics (57.3%), followed by virtual agents or chatbots (35.1%). Of the businesses in professional, scientific and technical services planning to use AI (26.3%), nearly half (45.3%) reported plans to use data analytics, followed by 39.9% planning to use large language models.
Plans to adopt artificial intelligence over the next 12 months vary by business size
While 14.5% of all businesses plan to use AI over the next 12 months to produce goods or deliver services, those with 100 or more employees were more likely to report such plans (20.5%), compared with 15.0% of businesses with 20 to 99 employees, 14.4% of businesses with 5 to 19 employees and 14.2% of those with 1 to 4 employees.
While adoption rates of AI varied by business size, the intended applications presented similar characteristics. Among larger businesses with 100 or more employees that plan to use AI in producing goods or delivering services over the next year, nearly half (48.0%) plan to use AI for data analytics, followed by text analytics (32.0%) and virtual agents or chatbots (20.7%). Similarly, among smaller businesses with 1 to 4 employees that plan to use AI, nearly one-third (31.8%) reported plans to use data analytics, followed by virtual agents or chatbots (29.8%), and text analytics (29.4%).
Most businesses still expect no change to employment levels after artificial intelligence adoption
Businesses in Canada continue to report limited expectations of employment change resulting from AI adoption. In the third quarter of 2025, among businesses planning to implement AI over the next 12 months (14.5%), 69.9% expected no change in employment levels. This is consistent with the third quarter of 2024, where 69.2% of the businesses planning to adopt AI that coming year (10.6%) reported they expected no employment changes.
At the same time, the proportion of businesses expecting employment decreases rose from 9.4% in the second quarter of 2024, to 12.2% in the second quarter of 2025. Meanwhile, businesses expecting employment gains went down from 11.1% to 7.3% over the same period.
Data table for Chart 1
Increase | Decrease | No change | Unknown | |
---|---|---|---|---|
percent | ||||
Notes: The results in this table are based on the survey that was in collection from July 2 to August 6 2025 and from July 2 to August 6, 2024, and respondents were asked what their expectations would be over the next 12-month period. As a result, those 12 months could range from July 2 to August 6 2025 and from July 2 to August 6, 2024, depending on when the business responded. Source: Canadian Survey on Business Conditions, third quarter of 2025 (Table 33-10-1047-01) and third quarter of 2024 (Table 33-10-0880-01). |
||||
Third quarter of 2025 | 7.3 | 12.2 | 69.9 | 10.6 |
Third quarter of 2024 | 11.1 | 9.4 | 69.2 | 10.3 |
These employment expectations correspond to the experiences of businesses already using AI to produce goods or deliver services. Of the businesses using AI in the second quarter of 2025 (12.2%), a vast majority (89.4%) reported no change in their employment levels, while 6.3% reported a decrease and 4.3% reported an increase. Similar results were observed in the second quarter of 2024, when 84.9% of the businesses using AI over the previous 12 months reported no change to their employment, while 6.3% reported a decrease and 8.8% reported an increase.
Training staff remains the most common operational response to artificial intelligence
Among businesses planning to use AI over the next 12 months to produce goods or deliver services (14.5%), the most anticipated operational change is training existing employees to use AI. About half (49.8%) of businesses reported plans to provide staff with AI training once new systems are implemented. This is consistent with third quarter of 2024 results, where among businesses who planned to use AI over that year (10.6%), nearly half (48.7%) reported plans to provide staff with AI training after implementation.
Other expected changes by businesses after AI adoption in the third quarter of 2025 include the development of new workflows (41.9%), purchasing cloud services or storage (27.0%) and changing data collection or data management practices (25.6%).
These results align with the operational changes already put in place by businesses currently using AI. Among businesses using AI in the second quarter of 2025 (12.2%), the most reported operational changes in the previous 12 months were developing new workflows (40.1%), training current staff to use AI (38.9%) and purchasing cloud services or storage (25.7%).
Meanwhile, hiring new staff trained in AI remained relatively uncommon for businesses after adopting AI. It was the least reported change expected in the third quarter of 2025, at 12.6%, up from 10.2% in the third quarter of 2024. Furthermore, purchasing computing power or specialized equipment was also less common, reported by 14.2% of businesses in third quarter of 2025, down from 18.6% in third quarter of 2024.
Third quarter of 2025 | Third quarter of 2024 | |
---|---|---|
percent of businesses | ||
Notes: The results in this table are based on the survey that was in collection from July 2 to August 6 2025 and from July 2 to August 6, 2024, and respondents were asked what their expectations would be over the next 12-month period. As a result, those 12 months could range from July 2 to August 6 2025 and from July 2 to August 6, 2024, depending on when the business responded. Source: Canadian Survey on Business Conditions, third quarter of 2025 (Table 33-10-1048-01) and third quarter of 2024 (Table 33-10-0881-01). |
||
Train current staff to use AI | 49.8 | 48.7 |
Develop new workflows | 41.9 | 43.7 |
Purchase cloud services or cloud storage | 27.0 | 25.2 |
Change data collection or data management practices | 25.6 | 17.6 |
Use vendors or consulting services to install or integrate AI | 16.0 | 16.2 |
Purchase computing power or specialized equipment | 14.2 | 18.6 |
Hire staff trained in AI | 12.6 | 10.2 |
Other change | 0.2 | 1.0 |
Unknown | 14.0 | 16.1 |
None | 12.3 | 9.3 |
Methodology
From July 2 to August 6, 2025, representatives from businesses across Canada were invited to complete an online questionnaire about business conditions and business expectations moving forward. The Canadian Survey on Business Conditions uses a stratified random sample of business establishments with employees classified by geography, industry sector and size. Proportions are estimated using survey weights ensuring that the survey results are representative of all employer businesses in Canada. The total sample size for this iteration of the survey was 21,406, and results are based on responses from a total of 9,494 businesses or organizations.
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NFL player props, odds, bets: Week 2, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

The Under went 12-4 in Week 1, indicating that not only were there fewer points scored than expected, but there were also fewer yards gained. Backing the Under with NFL prop bets was likely profitable for the opening slate of games, but will that maintain with Week 2 NFL props? Interestingly though, four of the five highest-scoring games last week were the primetime games, so if that holds, then the Overs for this week’s night games could be attractive with Week 2 NFL player props.
There’s a Monday Night Football doubleheader featuring star pass catchers like Nico Collins, Mike Evans and Brock Bowers. The games also feature promising rookies such as Ashton Jeanty, Omarion Hampton and Emeka Egbuka. Prop lines are usually all over the place early in the season as sportsbooks attempt to establish a player’s potential, and you could take advantage of this with the right NFL picks. If you are looking for NFL prop bets or NFL parlays for Week 2, SportsLine has you covered with the top Week 2 player props from its Machine Learning Model AI.
Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop.
Now, with the Week 2 NFL schedule quickly approaching, SportsLine’s Machine Learning Model AI has identified the top NFL props from the biggest Week 2 games.
Week 2 NFL props for Sunday’s main slate
After analyzing the NFL props from Sunday’s main slate and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Lions receiver Amon-Ra St. Brown goes Over 63.5 receiving yards (-114) versus the Bears at 1 p.m. ET. Detroit will host this contest, which is notable as St. Brown has averaged 114 receiving yards over his last six home games. He had at least 70 receiving yards in both matchups versus the Bears a year ago.
Chicago allowed 12 receivers to go Over 63.5 receiving yards last season as the Bears’ pass defense is adept at keeping opponents out of the endzone but not as good at preventing yardage. Chicago allowed the highest yards per attempt and second-highest yards per completion in 2024. While St. Brown had just 45 yards in the opener, the last time he was held under 50 receiving yards, he then had 193 yards the following week. The SportsLine Machine Learning Model projects 82.5 yards for St. Brown in a 4.5-star pick. See more Week 2 NFL props here.
Week 2 NFL props for Vikings vs. Falcons on Sunday Night Football
After analyzing Falcons vs. Vikings props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Falcons running back Bijan Robinson goes Over 65.5 rushing yards (-114). Robinson ran for 92 yards and a touchdown in Week 14 of last season versus Minnesota, despite the Vikings having the league’s No. 2 run defense a year ago. The SportsLine Machine Learning Model projects Robinson to have 81.8 yards on average in a 4.5-star prop pick. See more NFL props for Vikings vs. Falcons here.
You can make NFL prop bets on Robinson, Justin Jefferson and others with the Underdog Fantasy promo code CBSSPORTS2. Pick at Underdog Fantasy and get $50 in bonus funds after making a $5 wager:
Week 2 NFL props for Buccaneers vs. Texans on Monday Night Football
After analyzing Texans vs. Buccaneers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bucs quarterback Baker Mayfield goes Under 235.5 passing yards (-114). While Houston has questions regarding its offense, there’s little worry about the team’s pass defense. In 2024, Houston had the second-most interceptions, the fourth-most sacks and allowed the fourth-worst passer rating. Since the start of last year, and including the playoffs, the Texans have held opposing QBs under 235.5 yards in 13 of 20 games. The SportsLine Machine Learning Model forecasts Mayfield to finish with just 200.1 passing yards, making the Under a 4-star NFL prop. See more NFL props for Buccaneers vs. Texans here.
You can also use the latest FanDuel promo code to get $300 in bonus bets instantly:
Week 2 NFL props for Chargers vs. Raiders on Monday Night Football
After analyzing Raiders vs. Chargers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Chargers quarterback Justin Herbert goes Under 252.5 passing yards (-114). The Raiders’ defense was underrated in preventing big passing plays a year ago as it ranked third in the NFL in average depth of target allowed. It forced QBs to dink and dunk their way down the field, which doesn’t lead to big passing yardages, and L.A. generally prefers to not throw the ball anyway. Just four teams attempted fewer passes last season than the Chargers, and with L.A. running for 156.5 yards versus Vegas last season, Herbert shouldn’t be overly active on Monday night. He’s forecasted to have 221.1 passing yards in a 4.5-star NFL prop bet. See more NFL props for Chargers vs. Raiders here.
How to make Week 2 NFL prop picks
SportsLine’s Machine Learning Model has identified another star who sails past his total and has dozens of NFL props rated 4 stars or better. You need to see the Machine Learning Model analysis before making any Week 2 NFL prop bets.
Which NFL prop picks should you target for Week 2, and which quarterback has multiple 5-star rated picks? Visit SportsLine to see the latest NFL player props from SportsLine’s Machine Learning Model that uses cutting-edge artificial intelligence to make its projections.
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