Press Enterprise

Two people were arrested here Thursday afternoon after a South Center Township officer saw a stolen car in the Dollar General parking lot, police said.

Officer Brent Bacon was heading west on Route 11 around 2:30 p.m. when he saw a blue-green 1997 Ford Escort that matched the description of a stolen vehicle reported by the Berwick Police Department, authorities said.

Two people were arrested here Thursday afternoon after a South Center Township officer saw a stolen car in the Dollar General parking lot, police said.

Officer Brent Bacon was heading west on Route 11 around 2:30 p.m. when he saw a blue-green 1997 Ford Escort that matched the description of a stolen vehicle reported by the Berwick Police Department, authorities said.

Two people were arrested here Thursday afternoon after a South Center Township officer saw a stolen car in the Dollar General parking lot, police said.

Officer Brent Bacon was heading west on Route 11 around 2:30 p.m. when he saw a blue-green 1997 Ford Escort that matched the description of a stolen vehicle reported by the Berwick Police Department, authorities said.

Two people were arrested here Thursday afternoon after a South Center Township officer saw a stolen car in the Dollar General parking lot, police said.

Officer Brent Bacon was heading west on Route 11 around 2:30 p.m. when he saw a blue-green 1997 Ford Escort that matched the description of a stolen vehicle reported by the Berwick Police Department, authorities said.

Helen has been working toward a better life. The Bloomsburg woman, 35, is enrolled in truck driver school during the hours she’s off work. Her husband, Doug, 38, is taking classes in a nursing program.

Recently, he’s had to drive an hour and a half each way to a hospital for hands-on learning.

The promise of larger paychecks is just over the horizon. But the expenses of today are weighing on the pair.

Helen has been working toward a better life. The Bloomsburg woman, 35, is enrolled in truck driver school during the hours she’s off work. Her husband, Doug, 38, is taking classes in a nursing program.

Recently, he’s had to drive an hour and a half each way to a hospital for hands-on learning.

The promise of larger paychecks is just over the horizon. But the expenses of today are weighing on the pair.

Helen has been working toward a better life. The Bloomsburg woman, 35, is enrolled in truck driver school during the hours she’s off work. Her husband, Doug, 38, is taking classes in a nursing program.

Recently, he’s had to drive an hour and a half each way to a hospital for hands-on learning.

The promise of larger paychecks is just over the horizon. But the expenses of today are weighing on the pair.

Helen has been working toward a better life. The Bloomsburg woman, 35, is enrolled in truck driver school during the hours she’s off work. Her husband, Doug, 38, is taking classes in a nursing program.

Recently, he’s had to drive an hour and a half each way to a hospital for hands-on learning.

The promise of larger paychecks is just over the horizon. But the expenses of today are weighing on the pair.

The race to build artificial intelligence infrastructure has triggered the largest construction cycles in recent U.S. history. Tech companies are investing billions into new data centers that must come online at unprecedented speed to support rapidly expanding AI models.
Yet America’s construction capacity cannot match the pace of digital investment. Traditional building relies on slow, sequential processes. Even standard projects take years. AI campuses are planned in months. This gap is becoming the defining bottleneck of the AI era.

The race to build artificial intelligence infrastructure has triggered the largest construction cycles in recent U.S. history. Tech companies are investing billions into new data centers that must come online at unprecedented speed to support rapidly expanding AI models.
Yet America’s construction capacity cannot match the pace of digital investment. Traditional building relies on slow, sequential processes. Even standard projects take years. AI campuses are planned in months. This gap is becoming the defining bottleneck of the AI era.